From 0c84aaf4cac76674900650748184c8daf45a0d1c Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Sun, 3 Aug 2025 23:33:17 +0200 Subject: [PATCH 01/52] CI: Disable caching (#2268) # Rationale for this change Looks like something changed, which caused the CI to fail: https://github.com/apache/iceberg-python/commits/main/ First attempt to isolate the issue (checking if it is related to coverage) # Are these changes tested? # Are there any user-facing changes? --- .github/workflows/python-ci.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml index c8cdbcc58a..3ae0f7122f 100644 --- a/.github/workflows/python-ci.yml +++ b/.github/workflows/python-ci.yml @@ -56,8 +56,6 @@ jobs: - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python }} - cache: poetry - cache-dependency-path: ./poetry.lock - name: Install system dependencies run: sudo apt-get update && sudo apt-get install -y libkrb5-dev # for kerberos - name: Install From ccaa15cf8ac1eb1202256d17efc9cf9d20723d20 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Mon, 4 Aug 2025 07:11:27 +0200 Subject: [PATCH 02/52] Bump Poetry to 2.1.3 (#2267) --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 859d8dfa23..1f67b6ae52 100644 --- a/Makefile +++ b/Makefile @@ -28,7 +28,7 @@ else TEST_RUNNER = poetry run endif -POETRY_VERSION = 2.1.1 +POETRY_VERSION = 2.1.3 # ============ # Help Section From 14ee8da8ff73864b271396853aa2ea5e3e3a04b3 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Mon, 4 Aug 2025 20:39:16 +0200 Subject: [PATCH 03/52] Avro: Fix tests (#2265) While working on https://github.com/apache/iceberg-python/pull/2004 I've noticed some small discrepancies that I think would be good to address in a separate PR. # Rationale for this change # Are these changes tested? # Are there any user-facing changes? --------- Co-authored-by: Kevin Liu --- tests/conftest.py | 48 ++++++++++++++++++++++++++++-------- tests/utils/test_manifest.py | 33 ++++++++++--------------- 2 files changed, 51 insertions(+), 30 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 584b6c633a..79560bc532 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -47,6 +47,7 @@ import boto3 import pytest from moto import mock_aws +from pydantic_core import to_json from pyiceberg.catalog import Catalog, load_catalog from pyiceberg.catalog.noop import NoopCatalog @@ -67,10 +68,12 @@ ) from pyiceberg.io.fsspec import FsspecFileIO from pyiceberg.manifest import DataFile, FileFormat +from pyiceberg.partitioning import PartitionField, PartitionSpec from pyiceberg.schema import Accessor, Schema from pyiceberg.serializers import ToOutputFile from pyiceberg.table import FileScanTask, Table from pyiceberg.table.metadata import TableMetadataV1, TableMetadataV2 +from pyiceberg.transforms import DayTransform, IdentityTransform from pyiceberg.types import ( BinaryType, BooleanType, @@ -1255,8 +1258,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str: {"key": 15, "value": 0}, ], "lower_bounds": [ - {"key": 2, "value": b"2020-04-01 00:00"}, - {"key": 3, "value": b"2020-04-01 00:12"}, + {"key": 2, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"}, + {"key": 3, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"}, {"key": 7, "value": b"\x03\x00\x00\x00"}, {"key": 8, "value": b"\x01\x00\x00\x00"}, {"key": 10, "value": b"\xf6(\\\x8f\xc2\x05S\xc0"}, @@ -1270,8 +1273,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str: {"key": 19, "value": b"\x00\x00\x00\x00\x00\x00\x04\xc0"}, ], "upper_bounds": [ - {"key": 2, "value": b"2020-04-30 23:5:"}, - {"key": 3, "value": b"2020-05-01 00:41"}, + {"key": 2, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"}, + {"key": 3, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"}, {"key": 7, "value": b"\t\x01\x00\x00"}, {"key": 8, "value": b"\t\x01\x00\x00"}, {"key": 10, "value": b"\xcd\xcc\xcc\xcc\xcc,_@"}, @@ -1376,8 +1379,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str: ], "lower_bounds": [ {"key": 1, "value": b"\x01\x00\x00\x00"}, - {"key": 2, "value": b"2020-04-01 00:00"}, - {"key": 3, "value": b"2020-04-01 00:03"}, + {"key": 2, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"}, + {"key": 3, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"}, {"key": 4, "value": b"\x00\x00\x00\x00"}, {"key": 5, "value": b"\x01\x00\x00\x00"}, {"key": 6, "value": b"N"}, @@ -1396,8 +1399,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str: ], "upper_bounds": [ {"key": 1, "value": b"\x01\x00\x00\x00"}, - {"key": 2, "value": b"2020-04-30 23:5:"}, - {"key": 3, "value": b"2020-05-01 00:1:"}, + {"key": 2, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"}, + {"key": 3, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"}, {"key": 4, "value": b"\x06\x00\x00\x00"}, {"key": 5, "value": b"c\x00\x00\x00"}, {"key": 6, "value": b"Y"}, @@ -1858,7 +1861,24 @@ def simple_map() -> MapType: @pytest.fixture(scope="session") -def generated_manifest_entry_file(avro_schema_manifest_entry: Dict[str, Any]) -> Generator[str, None, None]: +def test_schema() -> Schema: + return Schema( + NestedField(1, "VendorID", IntegerType(), False), NestedField(2, "tpep_pickup_datetime", TimestampType(), False) + ) + + +@pytest.fixture(scope="session") +def test_partition_spec() -> Schema: + return PartitionSpec( + PartitionField(1, 1000, IdentityTransform(), "VendorID"), + PartitionField(2, 1001, DayTransform(), "tpep_pickup_day"), + ) + + +@pytest.fixture(scope="session") +def generated_manifest_entry_file( + avro_schema_manifest_entry: Dict[str, Any], test_schema: Schema, test_partition_spec: PartitionSpec +) -> Generator[str, None, None]: from fastavro import parse_schema, writer parsed_schema = parse_schema(avro_schema_manifest_entry) @@ -1866,7 +1886,15 @@ def generated_manifest_entry_file(avro_schema_manifest_entry: Dict[str, Any]) -> with TemporaryDirectory() as tmpdir: tmp_avro_file = tmpdir + "/manifest.avro" with open(tmp_avro_file, "wb") as out: - writer(out, parsed_schema, manifest_entry_records) + writer( + out, + parsed_schema, + manifest_entry_records, + metadata={ + "schema": test_schema.model_dump_json(), + "partition-spec": to_json(test_partition_spec.fields).decode("utf-8"), + }, + ) yield tmp_avro_file diff --git a/tests/utils/test_manifest.py b/tests/utils/test_manifest.py index 825431c776..7c62b9564c 100644 --- a/tests/utils/test_manifest.py +++ b/tests/utils/test_manifest.py @@ -38,10 +38,9 @@ write_manifest, write_manifest_list, ) -from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionField, PartitionSpec +from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec from pyiceberg.schema import Schema from pyiceberg.table.snapshots import Operation, Snapshot, Summary -from pyiceberg.transforms import IdentityTransform from pyiceberg.typedef import Record, TableVersion from pyiceberg.types import IntegerType, NestedField @@ -154,8 +153,8 @@ def test_read_manifest_entry(generated_manifest_entry_file: str) -> None: } assert data_file.nan_value_counts == {16: 0, 17: 0, 18: 0, 19: 0, 10: 0, 11: 0, 12: 0, 13: 0, 14: 0, 15: 0} assert data_file.lower_bounds == { - 2: b"2020-04-01 00:00", - 3: b"2020-04-01 00:12", + 2: b"\x01\x00\x00\x00\x00\x00\x00\x00", + 3: b"\x01\x00\x00\x00\x00\x00\x00\x00", 7: b"\x03\x00\x00\x00", 8: b"\x01\x00\x00\x00", 10: b"\xf6(\\\x8f\xc2\x05S\xc0", @@ -169,8 +168,8 @@ def test_read_manifest_entry(generated_manifest_entry_file: str) -> None: 19: b"\x00\x00\x00\x00\x00\x00\x04\xc0", } assert data_file.upper_bounds == { - 2: b"2020-04-30 23:5:", - 3: b"2020-05-01 00:41", + 2: b"\x06\x00\x00\x00\x00\x00\x00\x00", + 3: b"\x06\x00\x00\x00\x00\x00\x00\x00", 7: b"\t\x01\x00\x00", 8: b"\t\x01\x00\x00", 10: b"\xcd\xcc\xcc\xcc\xcc,_@", @@ -363,6 +362,8 @@ def test_write_manifest( generated_manifest_file_file_v1: str, generated_manifest_file_file_v2: str, format_version: TableVersion, + test_schema: Schema, + test_partition_spec: PartitionSpec, compression: AvroCompressionCodec, ) -> None: io = load_file_io() @@ -376,20 +377,12 @@ def test_write_manifest( ) demo_manifest_file = snapshot.manifests(io)[0] manifest_entries = demo_manifest_file.fetch_manifest_entry(io) - test_schema = Schema( - NestedField(1, "VendorID", IntegerType(), False), NestedField(2, "tpep_pickup_datetime", IntegerType(), False) - ) - test_spec = PartitionSpec( - PartitionField(source_id=1, field_id=1, transform=IdentityTransform(), name="VendorID"), - PartitionField(source_id=2, field_id=2, transform=IdentityTransform(), name="tpep_pickup_datetime"), - spec_id=demo_manifest_file.partition_spec_id, - ) with TemporaryDirectory() as tmpdir: tmp_avro_file = tmpdir + "/test_write_manifest.avro" output = io.new_output(tmp_avro_file) with write_manifest( format_version=format_version, - spec=test_spec, + spec=test_partition_spec, schema=test_schema, output_file=output, snapshot_id=8744736658442914487, @@ -404,7 +397,7 @@ def test_write_manifest( expected_metadata = { "schema": test_schema.model_dump_json(), - "partition-spec": """[{"source-id":1,"field-id":1,"transform":"identity","name":"VendorID"},{"source-id":2,"field-id":2,"transform":"identity","name":"tpep_pickup_datetime"}]""", + "partition-spec": """[{"source-id":1,"field-id":1000,"transform":"identity","name":"VendorID"},{"source-id":2,"field-id":1001,"transform":"day","name":"tpep_pickup_day"}]""", "partition-spec-id": str(demo_manifest_file.partition_spec_id), "format-version": str(format_version), } @@ -497,8 +490,8 @@ def test_write_manifest( } assert data_file.nan_value_counts == {16: 0, 17: 0, 18: 0, 19: 0, 10: 0, 11: 0, 12: 0, 13: 0, 14: 0, 15: 0} assert data_file.lower_bounds == { - 2: b"2020-04-01 00:00", - 3: b"2020-04-01 00:12", + 2: b"\x01\x00\x00\x00\x00\x00\x00\x00", + 3: b"\x01\x00\x00\x00\x00\x00\x00\x00", 7: b"\x03\x00\x00\x00", 8: b"\x01\x00\x00\x00", 10: b"\xf6(\\\x8f\xc2\x05S\xc0", @@ -512,8 +505,8 @@ def test_write_manifest( 19: b"\x00\x00\x00\x00\x00\x00\x04\xc0", } assert data_file.upper_bounds == { - 2: b"2020-04-30 23:5:", - 3: b"2020-05-01 00:41", + 2: b"\x06\x00\x00\x00\x00\x00\x00\x00", + 3: b"\x06\x00\x00\x00\x00\x00\x00\x00", 7: b"\t\x01\x00\x00", 8: b"\t\x01\x00\x00", 10: b"\xcd\xcc\xcc\xcc\xcc,_@", From 3e391a7130a2e8bbb2ae5c22e93f71af265affa5 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Mon, 4 Aug 2025 22:49:14 +0200 Subject: [PATCH 04/52] Clear updates/requirements after commit (#1961) # Rationale for this change Resolves #1946 # Are these changes tested? Yes, using a test that used to fail before :) # Are there any user-facing changes? --- pyiceberg/table/__init__.py | 26 +++++++++++--------- tests/integration/test_writes/test_writes.py | 17 +++++++++++++ 2 files changed, 32 insertions(+), 11 deletions(-) diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py index 6c6da2a9b7..21898e9c4d 100644 --- a/pyiceberg/table/__init__.py +++ b/pyiceberg/table/__init__.py @@ -292,8 +292,6 @@ def _apply(self, updates: Tuple[TableUpdate, ...], requirements: Tuple[TableRequ if self._autocommit: self.commit_transaction() - self._updates = () - self._requirements = () return self @@ -937,13 +935,15 @@ def commit_transaction(self) -> Table: updates=self._updates, requirements=self._requirements, ) - return self._table - else: - return self._table + + self._updates = () + self._requirements = () + + return self._table class CreateTableTransaction(Transaction): - """A transaction that involves the creation of a a new table.""" + """A transaction that involves the creation of a new table.""" def _initial_changes(self, table_metadata: TableMetadata) -> None: """Set the initial changes that can reconstruct the initial table metadata when creating the CreateTableTransaction.""" @@ -988,11 +988,15 @@ def commit_transaction(self) -> Table: Returns: The table with the updates applied. """ - self._requirements = (AssertCreate(),) - self._table._do_commit( # pylint: disable=W0212 - updates=self._updates, - requirements=self._requirements, - ) + if len(self._updates) > 0: + self._table._do_commit( # pylint: disable=W0212 + updates=self._updates, + requirements=(AssertCreate(),), + ) + + self._updates = () + self._requirements = () + return self._table diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py index e63883c1db..b73680e483 100644 --- a/tests/integration/test_writes/test_writes.py +++ b/tests/integration/test_writes/test_writes.py @@ -1802,6 +1802,23 @@ def test_write_optional_list(session_catalog: Catalog) -> None: assert len(session_catalog.load_table(identifier).scan().to_arrow()) == 4 +@pytest.mark.integration +@pytest.mark.parametrize("format_version", [1, 2]) +def test_double_commit_transaction( + spark: SparkSession, session_catalog: Catalog, arrow_table_with_null: pa.Table, format_version: int +) -> None: + identifier = "default.arrow_data_files" + tbl = _create_table(session_catalog, identifier, {"format-version": format_version}, []) + + assert len(tbl.metadata.metadata_log) == 0 + + with tbl.transaction() as tx: + tx.append(arrow_table_with_null) + tx.commit_transaction() + + assert len(tbl.metadata.metadata_log) == 1 + + @pytest.mark.integration @pytest.mark.parametrize("format_version", [1, 2]) def test_evolve_and_write( From 632d7836b69c14def50ea1ac3258bd2abebdd8c1 Mon Sep 17 00:00:00 2001 From: Alex Stephen <1325798+rambleraptor@users.noreply.github.com> Date: Mon, 4 Aug 2025 15:54:36 -0700 Subject: [PATCH 05/52] Adding support for Google AuthManager (#2072) --- mkdocs/docs/configuration.md | 2 + poetry.lock | 1273 ++++++++++++++----------------- pyiceberg/catalog/rest/auth.py | 34 +- pyproject.toml | 6 + tests/catalog/test_rest.py | 39 + tests/catalog/test_rest_auth.py | 92 ++- 6 files changed, 758 insertions(+), 688 deletions(-) diff --git a/mkdocs/docs/configuration.md b/mkdocs/docs/configuration.md index 1c9e327fd7..40cfc0b8c9 100644 --- a/mkdocs/docs/configuration.md +++ b/mkdocs/docs/configuration.md @@ -389,6 +389,7 @@ The RESTCatalog supports pluggable authentication via the `auth` configuration b - `noop`: No authentication (no Authorization header sent). - `basic`: HTTP Basic authentication. - `custom`: Custom authentication manager (requires `auth.impl`). +- `google`: Google Authentication support ###### Configuration Properties @@ -414,6 +415,7 @@ catalog: | `auth.impl` | Conditionally | The fully qualified class path for a custom AuthManager. Required if `auth.type` is `custom`. | | `auth.basic` | If type is `basic` | Block containing `username` and `password` for HTTP Basic authentication. | | `auth.custom` | If type is `custom` | Block containing configuration for the custom AuthManager. | +| `auth.google` | If type is `google` | Block containing `credentials_path` to a service account file (if using). Will default to using Application Default Credentials. | ###### Examples diff --git a/poetry.lock b/poetry.lock index 243992b20a..22e8e8a1aa 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. [[package]] name = "adlfs" @@ -27,29 +27,29 @@ tests = ["arrow", "dask[dataframe]", "docker", "pytest", "pytest-mock"] [[package]] name = "aiobotocore" -version = "2.23.2" +version = "2.23.1" description = "Async client for aws services using botocore and aiohttp" optional = true python-versions = ">=3.9" groups = ["main"] markers = "extra == \"s3fs\"" files = [ - {file = "aiobotocore-2.23.2-py3-none-any.whl", hash = "sha256:5ca24feb49be73bd6cd92e82e95aefb0647c07bb85ca57000a0361b9554503d8"}, - {file = "aiobotocore-2.23.2.tar.gz", hash = "sha256:9c2cbd6e813bb6c60b7f20fc11897976a583c57b0093a87bebfe80a9b08746b2"}, + {file = "aiobotocore-2.23.1-py3-none-any.whl", hash = "sha256:d81c54d2eae2406ea9a473fea518fed580cf37bc4fc51ce43ba81546e5305114"}, + {file = "aiobotocore-2.23.1.tar.gz", hash = "sha256:a59f2a78629b97d52f10936b79c73de64e481a8c44a62c1871f088df6c1afc4f"}, ] [package.dependencies] aiohttp = ">=3.9.2,<4.0.0" aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.39.7,<1.39.9" +botocore = 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["boto3"] +gcp-auth = ["google-auth"] gcsfs = ["gcsfs"] glue = ["boto3"] hf = ["huggingface-hub"] @@ -6593,4 +6494,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "b94a0776a3b55a9609865a61ec239d498afe3d1aaa73c399d67561ae51a3e2c0" +content-hash = "60b1fdc79b1c16c14fbff69e7a307d8248ed97249cc3b3938964556cd565d937" diff --git a/pyiceberg/catalog/rest/auth.py b/pyiceberg/catalog/rest/auth.py index c0a0267f54..ab547d8d55 100644 --- a/pyiceberg/catalog/rest/auth.py +++ b/pyiceberg/catalog/rest/auth.py @@ -17,8 +17,9 @@ import base64 import importlib +import logging from abc import ABC, abstractmethod -from typing import Any, Dict, Optional, Type +from typing import Any, Dict, List, Optional, Type from requests import HTTPError, PreparedRequest, Session from requests.auth import AuthBase @@ -27,6 +28,7 @@ from pyiceberg.exceptions import OAuthError COLON = ":" +logger = logging.getLogger(__name__) class AuthManager(ABC): @@ -119,6 +121,35 @@ def auth_header(self) -> str: return f"Bearer {self._token}" +class GoogleAuthManager(AuthManager): + """An auth manager that is responsible for handling Google credentials.""" + + def __init__(self, credentials_path: Optional[str] = None, scopes: Optional[List[str]] = None): + """ + Initialize GoogleAuthManager. + + Args: + credentials_path: Optional path to Google credentials JSON file. + scopes: Optional list of OAuth2 scopes. + """ + try: + import google.auth + import google.auth.transport.requests + except ImportError as e: + raise ImportError("Google Auth libraries not found. Please install 'google-auth'.") from e + + if credentials_path: + self.credentials, _ = google.auth.load_credentials_from_file(credentials_path, scopes=scopes) + else: + logger.info("Using Google Default Application Credentials") + self.credentials, _ = google.auth.default(scopes=scopes) + self._auth_request = google.auth.transport.requests.Request() + + def auth_header(self) -> str: + self.credentials.refresh(self._auth_request) + return f"Bearer {self.credentials.token}" + + class AuthManagerAdapter(AuthBase): """A `requests.auth.AuthBase` adapter that integrates an `AuthManager` into a `requests.Session` to automatically attach the appropriate Authorization header to every request. @@ -197,3 +228,4 @@ def create(cls, class_or_name: str, config: Dict[str, Any]) -> AuthManager: AuthManagerFactory.register("noop", NoopAuthManager) AuthManagerFactory.register("basic", BasicAuthManager) AuthManagerFactory.register("legacyoauth2", LegacyOAuth2AuthManager) +AuthManagerFactory.register("google", GoogleAuthManager) diff --git a/pyproject.toml b/pyproject.toml index da43b4217b..d972718757 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,6 +63,7 @@ zstandard = ">=0.13.0,<1.0.0" tenacity = ">=8.2.3,<10.0.0" pyroaring = ">=1.0.0,<2.0.0" pyarrow = { version = ">=17.0.0", optional = true } +google-auth = { version = ">=2.4.0", optional = true } pandas = { version = ">=1.0.0,<3.0.0", optional = true } duckdb = { version = ">=0.5.0,<2.0.0", optional = true } ray = [ @@ -127,6 +128,10 @@ ignore_missing_imports = true module = "pyarrow.*" ignore_missing_imports = true +[[tool.mypy.overrides]] +module = "google.*" +ignore_missing_imports = true + [[tool.mypy.overrides]] module = "pandas.*" ignore_missing_imports = true @@ -317,6 +322,7 @@ rest-sigv4 = ["boto3"] hf = ["huggingface-hub"] pyiceberg-core = ["pyiceberg-core"] datafusion = ["datafusion"] +gcp-auth = ["google-auth"] [tool.pytest.ini_options] testpaths = ["tests"] diff --git a/tests/catalog/test_rest.py b/tests/catalog/test_rest.py index f60231ac30..dcabd0a2ea 100644 --- a/tests/catalog/test_rest.py +++ b/tests/catalog/test_rest.py @@ -1748,3 +1748,42 @@ def test_drop_view_204(rest_mock: Mocker) -> None: request_headers=TEST_HEADERS, ) RestCatalog("rest", uri=TEST_URI, token=TEST_TOKEN).drop_view(("some_namespace", "some_view")) + + +@mock.patch("google.auth.transport.requests.Request") +@mock.patch("google.auth.load_credentials_from_file") +def test_rest_catalog_with_google_credentials_path( + mock_load_creds: mock.MagicMock, mock_google_request: mock.MagicMock, rest_mock: Mocker +) -> None: + mock_credentials = mock.MagicMock() + mock_credentials.token = "file_token" + mock_load_creds.return_value = (mock_credentials, "test_project_file") + + # Given + rest_mock.get( + f"{TEST_URI}v1/config", + json={"defaults": {}, "overrides": {}}, + status_code=200, + ) + # Given + catalog_properties = { + "uri": TEST_URI, + "auth": { + "type": "google", + "google": { + "credentials_path": "/fake/path.json", + }, + }, + } + catalog = RestCatalog("rest", **catalog_properties) # type: ignore + assert catalog.uri == TEST_URI + + expected_auth_header = "Bearer file_token" + assert rest_mock.last_request.headers["Authorization"] == expected_auth_header + + mock_load_creds.assert_called_with("/fake/path.json", scopes=None) + mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value) + history = rest_mock.request_history + assert len(history) == 1 + actual_headers = history[0].headers + assert actual_headers["Authorization"] == expected_auth_header diff --git a/tests/catalog/test_rest_auth.py b/tests/catalog/test_rest_auth.py index 3d3d4a807d..2ef02ed005 100644 --- a/tests/catalog/test_rest_auth.py +++ b/tests/catalog/test_rest_auth.py @@ -16,14 +16,16 @@ # under the License. import base64 +from unittest.mock import MagicMock, patch import pytest import requests from requests_mock import Mocker -from pyiceberg.catalog.rest.auth import AuthManagerAdapter, BasicAuthManager, NoopAuthManager +from pyiceberg.catalog.rest.auth import AuthManagerAdapter, BasicAuthManager, GoogleAuthManager, NoopAuthManager TEST_URI = "https://iceberg-test-catalog/" +GOOGLE_CREDS_URI = "https://oauth2.googleapis.com/token" @pytest.fixture @@ -36,6 +38,17 @@ def rest_mock(requests_mock: Mocker) -> Mocker: return requests_mock +@pytest.fixture +def google_mock(requests_mock: Mocker) -> Mocker: + requests_mock.post(GOOGLE_CREDS_URI, json={"access_token": "aaaabbb"}, status_code=200) + requests_mock.get( + TEST_URI, + json={}, + status_code=200, + ) + return requests_mock + + def test_noop_auth_header(rest_mock: Mocker) -> None: auth_manager = NoopAuthManager() session = requests.Session() @@ -63,3 +76,80 @@ def test_basic_auth_header(rest_mock: Mocker) -> None: assert len(history) == 1 actual_headers = history[0].headers assert actual_headers["Authorization"] == expected_header + + +@patch("google.auth.transport.requests.Request") +@patch("google.auth.default") +def test_google_auth_manager_default_credentials( + mock_google_auth_default: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker +) -> None: + """Test GoogleAuthManager with default application credentials.""" + mock_credentials = MagicMock() + mock_credentials.token = "test_token" + mock_google_auth_default.return_value = (mock_credentials, "test_project") + + auth_manager = GoogleAuthManager() + session = requests.Session() + session.auth = AuthManagerAdapter(auth_manager) + session.get(TEST_URI) + + mock_google_auth_default.assert_called_once_with(scopes=None) + mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value) + history = rest_mock.request_history + assert len(history) == 1 + actual_headers = history[0].headers + assert actual_headers["Authorization"] == "Bearer test_token" + + +@patch("google.auth.transport.requests.Request") +@patch("google.auth.load_credentials_from_file") +def test_google_auth_manager_with_credentials_file( + mock_load_creds: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker +) -> None: + """Test GoogleAuthManager with a credentials file path.""" + mock_credentials = MagicMock() + mock_credentials.token = "file_token" + mock_load_creds.return_value = (mock_credentials, "test_project_file") + + auth_manager = GoogleAuthManager(credentials_path="/fake/path.json") + session = requests.Session() + session.auth = AuthManagerAdapter(auth_manager) + session.get(TEST_URI) + + mock_load_creds.assert_called_once_with("/fake/path.json", scopes=None) + mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value) + history = rest_mock.request_history + assert len(history) == 1 + actual_headers = history[0].headers + assert actual_headers["Authorization"] == "Bearer file_token" + + +@patch("google.auth.transport.requests.Request") +@patch("google.auth.load_credentials_from_file") +def test_google_auth_manager_with_credentials_file_and_scopes( + mock_load_creds: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker +) -> None: + """Test GoogleAuthManager with a credentials file path and scopes.""" + mock_credentials = MagicMock() + mock_credentials.token = "scoped_token" + mock_load_creds.return_value = (mock_credentials, "test_project_scoped") + scopes = ["https://www.googleapis.com/auth/bigquery"] + + auth_manager = GoogleAuthManager(credentials_path="/fake/path.json", scopes=scopes) + session = requests.Session() + session.auth = AuthManagerAdapter(auth_manager) + session.get(TEST_URI) + + mock_load_creds.assert_called_once_with("/fake/path.json", scopes=scopes) + mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value) + history = rest_mock.request_history + assert len(history) == 1 + actual_headers = history[0].headers + assert actual_headers["Authorization"] == "Bearer scoped_token" + + +def test_google_auth_manager_import_error() -> None: + """Test GoogleAuthManager raises ImportError if google-auth is not installed.""" + with patch.dict("sys.modules", {"google.auth": None, "google.auth.transport.requests": None}): + with pytest.raises(ImportError, match="Google Auth libraries not found. Please install 'google-auth'."): + GoogleAuthManager() From b5e059e4a086fa17e102e826791842fc586de2a1 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 07:09:37 +0200 Subject: [PATCH 06/52] Build: Bump deptry from 0.23.0 to 0.23.1 (#2273) --- poetry.lock | 86 ++++++++++++++++++++++++++--------------------------- 1 file changed, 43 insertions(+), 43 deletions(-) diff --git a/poetry.lock b/poetry.lock index 22e8e8a1aa..600abf4d47 100644 --- a/poetry.lock +++ b/poetry.lock @@ -59,7 +59,7 @@ description = "Happy Eyeballs for asyncio" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\"" +markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\"" files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -72,7 +72,7 @@ description = "Async http client/server framework (asyncio)" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\"" +markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\"" files = [ {file = "aiohttp-3.12.14-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:906d5075b5ba0dd1c66fcaaf60eb09926a9fef3ca92d912d2a0bbdbecf8b1248"}, {file = "aiohttp-3.12.14-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c875bf6fc2fd1a572aba0e02ef4e7a63694778c5646cdbda346ee24e630d30fb"}, @@ -202,7 +202,7 @@ description = "aiosignal: a list of registered asynchronous callbacks" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "python_version == \"3.9\" and extra == \"ray\" or (extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\") and python_version < \"3.10\" or python_version >= \"3.10\" and (extra == \"ray\" or extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\")" +markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and (extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\" or extra == \"ray\")" files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -269,7 +269,7 @@ description = "Timeout context manager for asyncio programs" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "(extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\") and python_version <= \"3.10\"" +markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and python_version <= \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = 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extra == \"gcsfs\")" +markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and (extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\" or extra == \"ray\")" files = [ {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc4df77d638aa2ed703b878dd093725b72a824c3c546c076e8fdf276f78ee84a"}, {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:716a9973a2cc963160394f701964fe25012600f3d311f60c790400b00e568b61"}, @@ -2330,7 +2330,7 @@ files = [ {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"}, {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"}, ] -markers = {main = "extra == \"glue\" or extra == \"dynamodb\" or extra == \"rest-sigv4\" or extra == \"s3fs\""} +markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\" or extra == \"s3fs\""} [[package]] name = "joserfc" @@ -3184,7 +3184,7 @@ description = "multidict implementation" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\"" +markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\"" files = [ {file = "multidict-6.6.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a2be5b7b35271f7fff1397204ba6708365e3d773579fe2a30625e16c4b4ce817"}, {file = "multidict-6.6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:12f4581d2930840295c461764b9a65732ec01250b46c6b2c510d7ee68872b140"}, @@ -3501,7 +3501,7 @@ description = "Fundamental package for array computing in Python" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "python_version < \"3.10\" and (extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\")" +markers = "python_version < \"3.10\" and (extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\")" files = [ {file = 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@@ description = "Fast, Extensible Progress Meter" optional = true python-versions = ">=3.7" groups = ["main"] -markers = "extra == \"hf\" or extra == \"daft\"" +markers = "extra == \"daft\" or extra == \"hf\"" files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -5984,7 +5984,7 @@ description = "Provider of IANA time zone data" optional = true python-versions = ">=2" groups = ["main"] -markers = "extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\"" +markers = "extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\"" files = [ {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, @@ -6218,7 +6218,7 @@ description = "Yet another URL library" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\"" +markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\"" files = [ {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6032e6da6abd41e4acda34d75a816012717000fa6839f37124a47fcefc49bec4"}, {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2c7b34d804b8cf9b214f05015c4fee2ebe7ed05cf581e7192c06555c71f4446a"}, From 55c02e4ea0f963043d368369ee3b3aa18001adb9 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 07:41:07 +0200 Subject: [PATCH 07/52] Build: Bump mypy-boto3-glue from 1.39.12 to 1.40.0 (#2274) --- poetry.lock | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index 600abf4d47..0f737acf84 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. [[package]] name = "adlfs" @@ -1809,7 +1809,7 @@ description = "Google Authentication Library" optional = true python-versions = ">=3.7" groups = ["main"] -markers = "extra == \"gcp-auth\" or extra == \"gcsfs\"" +markers = "extra == \"gcsfs\" or extra == \"gcp-auth\"" files = [ {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"}, {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"}, @@ -3318,14 +3318,14 @@ typing-extensions = {version = "*", markers = "python_version < \"3.12\""} [[package]] name = "mypy-boto3-glue" -version = "1.39.7" -description = "Type annotations for boto3 Glue 1.39.7 service generated with mypy-boto3-builder 8.11.0" +version = "1.40.0" +description = "Type annotations for boto3 Glue 1.40.0 service generated with mypy-boto3-builder 8.11.0" optional = false python-versions = ">=3.8" groups = ["dev"] files = [ - {file = 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38b05a2ad8d4f42afe32c662e707b243f51b38a4 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 09:46:37 +0200 Subject: [PATCH 11/52] Build: Bump polars from 1.31.0 to 1.32.0 (#2279) --- poetry.lock | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/poetry.lock b/poetry.lock index 911b160723..df18f2b18f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3864,20 +3864,20 @@ files = [ [[package]] name = "polars" -version = "1.31.0" +version = "1.32.0" description = "Blazingly fast DataFrame library" optional = true python-versions = ">=3.9" groups = ["main"] markers = "extra == \"polars\"" files = [ - {file = "polars-1.31.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:ccc68cd6877deecd46b13cbd2663ca89ab2a2cb1fe49d5cfc66a9cef166566d9"}, - {file = "polars-1.31.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:a94c5550df397ad3c2d6adc212e59fd93d9b044ec974dd3653e121e6487a7d21"}, - {file = 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file changed, 7 insertions(+), 7 deletions(-) diff --git a/poetry.lock b/poetry.lock index df18f2b18f..ae072829ac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1235,19 +1235,19 @@ files = [ [[package]] name = "daft" -version = "0.5.11" +version = "0.5.16" description = "Distributed Dataframes for Multimodal Data" optional = true python-versions = ">=3.9" groups = ["main"] markers = "extra == \"daft\"" files = [ - {file = "daft-0.5.11-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:661978a311c9a75c071c1be5d6576e47b1d5a698d4472851d10f82f451970780"}, - {file = "daft-0.5.11-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:aa21103bdeffc7a4810d79ed21822fa279409e53f6eb4d9dd711fb44aa162c30"}, - {file = "daft-0.5.11-cp39-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:aa01effca4e6d23df2e767bee126c853a6e6e2dc5c27357d081b1973423e4f87"}, - {file = "daft-0.5.11-cp39-abi3-manylinux_2_24_x86_64.whl", hash = "sha256:640cbd53bfba15184d942206d1a6a0b3baf00c9c98c689dbe432e3728b125b94"}, - {file = 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"sha256:da1a1fb5087b476ccf3a93795f9c2ff1bd44f8f899fbafb6dfb7a86d9e449522"}, ] [package.dependencies] From 5e9b3d3cbd5f89bf7196195294d31af73b6e745a Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 09:48:28 +0200 Subject: [PATCH 13/52] Build: Bump mkdocstrings from 0.29.1 to 0.30.0 (#2282) --- poetry.lock | 8 ++++---- pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index ae072829ac..e2d16eeebc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2855,14 +2855,14 @@ mkdocs = ">=1.2" [[package]] name = "mkdocstrings" -version = "0.29.1" +version = "0.30.0" description = "Automatic documentation from sources, for MkDocs." optional = false python-versions = ">=3.9" groups = ["docs"] files = [ - {file = "mkdocstrings-0.29.1-py3-none-any.whl", hash = "sha256:37a9736134934eea89cbd055a513d40a020d87dfcae9e3052c2a6b8cd4af09b6"}, - {file = "mkdocstrings-0.29.1.tar.gz", hash = "sha256:8722f8f8c5cd75da56671e0a0c1bbed1df9946c0cef74794d6141b34011abd42"}, + {file = "mkdocstrings-0.30.0-py3-none-any.whl", hash = "sha256:ae9e4a0d8c1789697ac776f2e034e2ddd71054ae1cf2c2bb1433ccfd07c226f2"}, + {file = "mkdocstrings-0.30.0.tar.gz", hash = "sha256:5d8019b9c31ddacd780b6784ffcdd6f21c408f34c0bd1103b5351d609d5b4444"}, ] [package.dependencies] @@ -6408,4 +6408,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "f219f936d67009d58b8c913d3864442af2e821b02542a856fed74c0b543ea5c6" +content-hash = "78aa4cd13723b0a2d245c555a25c331a7c391ea873f9e53f51b8a187478199db" diff --git a/pyproject.toml b/pyproject.toml index 6709f2f28f..c37dedcdb0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -111,7 +111,7 @@ mypy-boto3-dynamodb = ">=1.28.18" mkdocs = "1.6.1" griffe = "1.7.3" jinja2 = "3.1.6" -mkdocstrings = "0.29.1" +mkdocstrings = "0.30.0" mkdocstrings-python = "1.16.12" mkdocs-literate-nav = "0.6.2" mkdocs-autorefs = "1.4.2" From 5c604c23b94519193e1f85e1cc8a89ade81eb9c0 Mon Sep 17 00:00:00 2001 From: smaheshwar-pltr Date: Tue, 5 Aug 2025 09:31:05 +0100 Subject: [PATCH 14/52] Add `__eq__` and `__hash__` methods to `ManifestFile` (#2233) --- pyiceberg/manifest.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/pyiceberg/manifest.py b/pyiceberg/manifest.py index 362e9085df..a92d944811 100644 --- a/pyiceberg/manifest.py +++ b/pyiceberg/manifest.py @@ -866,6 +866,14 @@ def fetch_manifest_entry(self, io: FileIO, discard_deleted: bool = True) -> List if not discard_deleted or entry.status != ManifestEntryStatus.DELETED ] + def __eq__(self, other: Any) -> bool: + """Return the equality of two instances of the ManifestFile class.""" + return self.manifest_path == other.manifest_path if isinstance(other, ManifestFile) else False + + def __hash__(self) -> int: + """Return the hash of manifest_path.""" + return hash(self.manifest_path) + @cached(cache=LRUCache(maxsize=128), key=lambda io, manifest_list: hashkey(manifest_list)) def _manifests(io: FileIO, manifest_list: str) -> Tuple[ManifestFile, ...]: From cd7d8c754cfa95e8f07edce91f5d1d69b71f4103 Mon Sep 17 00:00:00 2001 From: Roman Shanin <40040452+Erigara@users.noreply.github.com> Date: Tue, 5 Aug 2025 18:04:09 +0300 Subject: [PATCH 15/52] Fix projected fields predicate evaluation (#2029) Closes #2028 # Rationale for this change Provide expected result aligned with `spark` implementation. This PR fixes a bug where predicate evaluation for a column that is missing from the parquet file schema will return no result. This is due to `_ColumnNameTranslator` visitor returning `AlwaysFalse` when the column cannot be found in the file schema. The solution is to pass in the projected field value for evaluation. This follows the order of operation described in https://iceberg.apache.org/spec/#column-projection # Are these changes tested? I've checked it on script attached to issue + new test was added. Yes, added some unit tests for `_ColumnNameTranslator`/`translate_column_names` Added a test for predicate evaluation for projected columns. # Are there any user-facing changes? Kinda yes, because results of some scans now different. --------- Co-authored-by: Roman Shanin Co-authored-by: Kevin Liu Co-authored-by: Kevin Liu Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Fokko Driesprong --- pyiceberg/expressions/visitors.py | 24 ++- pyiceberg/io/pyarrow.py | 14 +- tests/expressions/test_visitors.py | 281 +++++++++++++++++++++++++++++ tests/io/test_pyarrow.py | 10 + 4 files changed, 317 insertions(+), 12 deletions(-) diff --git a/pyiceberg/expressions/visitors.py b/pyiceberg/expressions/visitors.py index 26241d2351..99cbc0fb66 100644 --- a/pyiceberg/expressions/visitors.py +++ b/pyiceberg/expressions/visitors.py @@ -861,6 +861,7 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]): Args: file_schema (Schema): The schema of the file. case_sensitive (bool): Whether to consider case when binding a reference to a field in a schema, defaults to True. + projected_field_values (Dict[str, Any]): Values for projected fields not present in the data file. Raises: TypeError: In the case of an UnboundPredicate. @@ -869,10 +870,12 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]): file_schema: Schema case_sensitive: bool + projected_field_values: Dict[str, Any] - def __init__(self, file_schema: Schema, case_sensitive: bool) -> None: + def __init__(self, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[str, Any] = EMPTY_DICT) -> None: self.file_schema = file_schema self.case_sensitive = case_sensitive + self.projected_field_values = projected_field_values or {} def visit_true(self) -> BooleanExpression: return AlwaysTrue() @@ -897,9 +900,8 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi file_column_name = self.file_schema.find_column_name(field.field_id) if file_column_name is None: - # In the case of schema evolution, the column might not be present - # we can use the default value as a constant and evaluate it against - # the predicate + # In the case of schema evolution or column projection, the field might not be present in the file schema. + # we can use the projected value or the field's default value as a constant and evaluate it against the predicate pred: BooleanExpression if isinstance(predicate, BoundUnaryPredicate): pred = predicate.as_unbound(field.name) @@ -910,6 +912,14 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi else: raise ValueError(f"Unsupported predicate: {predicate}") + # In the order described by the "Column Projection" section of the Iceberg spec: + # https://iceberg.apache.org/spec/#column-projection + # Evaluate column projection first if it exists + if projected_field_value := self.projected_field_values.get(field.name): + if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(projected_field_value)): + return AlwaysTrue() + + # Evaluate initial_default value return ( AlwaysTrue() if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(field.initial_default)) @@ -926,8 +936,10 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi raise ValueError(f"Unsupported predicate: {predicate}") -def translate_column_names(expr: BooleanExpression, file_schema: Schema, case_sensitive: bool) -> BooleanExpression: - return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive)) +def translate_column_names( + expr: BooleanExpression, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[str, Any] = EMPTY_DICT +) -> BooleanExpression: + return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive, projected_field_values)) class _ExpressionFieldIDs(BooleanExpressionVisitor[Set[int]]): diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index 2797371028..e6992843ca 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -1460,18 +1460,20 @@ def _task_to_record_batches( # the table format version. file_schema = pyarrow_to_schema(physical_schema, name_mapping, downcast_ns_timestamp_to_us=True) - pyarrow_filter = None - if bound_row_filter is not AlwaysTrue(): - translated_row_filter = translate_column_names(bound_row_filter, file_schema, case_sensitive=case_sensitive) - bound_file_filter = bind(file_schema, translated_row_filter, case_sensitive=case_sensitive) - pyarrow_filter = expression_to_pyarrow(bound_file_filter) - # Apply column projection rules # https://iceberg.apache.org/spec/#column-projection should_project_columns, projected_missing_fields = _get_column_projection_values( task.file, projected_schema, partition_spec, file_schema.field_ids ) + pyarrow_filter = None + if bound_row_filter is not AlwaysTrue(): + translated_row_filter = translate_column_names( + bound_row_filter, file_schema, case_sensitive=case_sensitive, projected_field_values=projected_missing_fields + ) + bound_file_filter = bind(file_schema, translated_row_filter, case_sensitive=case_sensitive) + pyarrow_filter = expression_to_pyarrow(bound_file_filter) + file_project_schema = prune_columns(file_schema, projected_field_ids, select_full_types=False) fragment_scanner = ds.Scanner.from_fragment( diff --git a/tests/expressions/test_visitors.py b/tests/expressions/test_visitors.py index 273bd24c9b..f02aadfe44 100644 --- a/tests/expressions/test_visitors.py +++ b/tests/expressions/test_visitors.py @@ -72,6 +72,7 @@ expression_to_plain_format, rewrite_not, rewrite_to_dnf, + translate_column_names, visit, visit_bound_predicate, ) @@ -79,6 +80,7 @@ from pyiceberg.schema import Accessor, Schema from pyiceberg.typedef import Record from pyiceberg.types import ( + BooleanType, DoubleType, FloatType, IcebergType, @@ -1623,3 +1625,282 @@ def test_expression_evaluator_null() -> None: assert expression_evaluator(schema, LessThan("a", 1), case_sensitive=True)(struct) is False assert expression_evaluator(schema, StartsWith("a", 1), case_sensitive=True)(struct) is False assert expression_evaluator(schema, NotStartsWith("a", 1), case_sensitive=True)(struct) is True + + +def test_translate_column_names_simple_case(table_schema_simple: Schema) -> None: + """Test translate_column_names with matching column names.""" + # Create a bound expression using the original schema + unbound_expr = EqualTo("foo", "test_value") + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=table_schema_simple, case_sensitive=True)) + + # File schema has the same column names + file_schema = Schema( + NestedField(field_id=1, name="foo", field_type=StringType(), required=False), + NestedField(field_id=2, name="bar", field_type=IntegerType(), required=True), + NestedField(field_id=3, name="baz", field_type=BooleanType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # Should return an unbound expression with the same column name since they match + assert isinstance(translated_expr, EqualTo) + assert translated_expr.term == Reference("foo") + assert translated_expr.literal == literal("test_value") + + +def test_translate_column_names_different_column_names() -> None: + """Test translate_column_names with different column names in file schema.""" + # Original schema + original_schema = Schema( + NestedField(field_id=1, name="original_name", field_type=StringType(), required=False), + schema_id=1, + ) + + # Create bound expression + unbound_expr = EqualTo("original_name", "test_value") + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema has different column name but same field ID + file_schema = Schema( + NestedField(field_id=1, name="file_column_name", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # Should use the file schema's column name + assert isinstance(translated_expr, EqualTo) + assert translated_expr.term == Reference("file_column_name") + assert translated_expr.literal == literal("test_value") + + +def test_translate_column_names_missing_column() -> None: + """Test translate_column_names when column is missing from file schema (such as in schema evolution).""" + # Original schema + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # missing_col's default initial_default (None) does not match the expression literal (42) + assert translated_expr == AlwaysFalse() + + +def test_translate_column_names_missing_column_match_null() -> None: + """Test translate_column_names when missing column matches null.""" + # Original schema + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = IsNull("missing_col") + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # Should evaluate to AlwaysTrue because the missing column is treated as null + # missing_col's default initial_default (None) satisfies the IsNull predicate + assert translated_expr == AlwaysTrue() + + +def test_translate_column_names_missing_column_with_initial_default() -> None: + """Test translate_column_names when missing column's initial_default matches expression.""" + # Original schema + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=42), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # Should evaluate to AlwaysTrue because the initial_default value (42) matches the literal (42) + assert translated_expr == AlwaysTrue() + + +def test_translate_column_names_missing_column_with_initial_default_mismatch() -> None: + """Test translate_column_names when missing column's initial_default doesn't match expression.""" + # Original schema + original_schema = Schema( + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=10), + schema_id=1, + ) + + # Create bound expression that won't match the default value + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema doesn't have this column + file_schema = Schema( + NestedField(field_id=1, name="other_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True) + + # Should evaluate to AlwaysFalse because initial_default value (10) doesn't match literal (42) + assert translated_expr == AlwaysFalse() + + +def test_translate_column_names_missing_column_with_projected_field_matches() -> None: + """Test translate_column_names with projected field value that matches expression.""" + # Original schema with a field that has no initial_default (defaults to None) + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Projected column that is missing in the file schema + projected_field_values = {"missing_col": 42} + + # Translate column names + translated_expr = translate_column_names( + bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values + ) + + # Should evaluate to AlwaysTrue since projected field value matches the expression literal + # even though the field is missing in the file schema + assert translated_expr == AlwaysTrue() + + +def test_translate_column_names_missing_column_with_projected_field_mismatch() -> None: + """Test translate_column_names with projected field value that doesn't match expression.""" + # Original schema with a field that has no initial_default (defaults to None) + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Projected column that is missing in the file schema + projected_field_values = {"missing_col": 1} + + # Translate column names + translated_expr = translate_column_names( + bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values + ) + + # Should evaluate to AlwaysFalse since projected field value does not match the expression literal + assert translated_expr == AlwaysFalse() + + +def test_translate_column_names_missing_column_projected_field_fallbacks_to_initial_default() -> None: + """Test translate_column_names when projected field value doesn't match but initial_default does.""" + # Original schema with a field that has an initial_default + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=42), + schema_id=1, + ) + + # Create bound expression for the missing column that would match initial_default + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Projected field value that differs from both the expression literal and initial_default + projected_field_values = {"missing_col": 10} # This doesn't match expression literal (42) + + # Translate column names + translated_expr = translate_column_names( + bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values + ) + + # Should evaluate to AlwaysTrue since projected field value doesn't match but initial_default does + assert translated_expr == AlwaysTrue() + + +def test_translate_column_names_missing_column_projected_field_matches_initial_default_mismatch() -> None: + """Test translate_column_names when both projected field value and initial_default doesn't match.""" + # Original schema with a field that has an initial_default that doesn't match the expression + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=10), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = EqualTo("missing_col", 42) + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Projected field value that matches the expression literal + projected_field_values = {"missing_col": 10} # This doesn't match expression literal (42) + + # Translate column names + translated_expr = translate_column_names( + bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values + ) + + # Should evaluate to AlwaysFalse since both projected field value and initial_default does not match + assert translated_expr == AlwaysFalse() diff --git a/tests/io/test_pyarrow.py b/tests/io/test_pyarrow.py index 4f121ba3bc..ac16ef18f6 100644 --- a/tests/io/test_pyarrow.py +++ b/tests/io/test_pyarrow.py @@ -1197,6 +1197,16 @@ def test_identity_transform_column_projection(tmp_path: str, catalog: InMemoryCa }, schema=schema, ) + # Test that row filter works with partition value projection + assert table.scan(row_filter="partition_id = 1").to_arrow() == pa.table( + { + "other_field": ["foo", "bar", "baz"], + "partition_id": [1, 1, 1], + }, + schema=schema, + ) + # Test that row filter does not return any rows for a non-existing partition value + assert len(table.scan(row_filter="partition_id = -1").to_arrow()) == 0 def test_identity_transform_columns_projection(tmp_path: str, catalog: InMemoryCatalog) -> None: From 2a775131048e3557280da8ac3fd2d6ccea8c2193 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 11:04:51 -0400 Subject: [PATCH 16/52] Build: Bump mypy-boto3-dynamodb from 1.39.0 to 1.40.0 (#2283) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [mypy-boto3-dynamodb](https://github.com/youtype/mypy_boto3_builder) from 1.39.0 to 1.40.0.
Release notes

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8.8.0 - Python 3.8 runtime is back

Changed

  • [services] install_requires section is calculated based on dependencies in use, so typing-extensions version is set properly
  • [all] Replaced typing imports with collections.abc with a fallback to typing for Python <3.9
  • [all] Added aliases for builtins.list, builtins.set, builtins.dict, and builtins.type, so Python 3.8 runtime should work as expected again (reported by @​YHallouard in #340 and @​Omri-Ben-Yair in #336)
  • [all] Unions use the same type annotations as the rest of the structures due to proper fallbacks

Fixed

  • [services] Universal input/output shapes were not replaced properly in service subresources
  • [docs] Simplified doc links rendering for services
  • [services] Cleaned up unnecessary imports in client.pyi
  • [builder] Import records with fallback are always rendered
Commits

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/poetry.lock b/poetry.lock index e2d16eeebc..0d7e28901a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3310,14 +3310,14 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""} [[package]] name = "mypy-boto3-dynamodb" -version = "1.39.0" -description = "Type annotations for boto3 DynamoDB 1.39.0 service generated with mypy-boto3-builder 8.11.0" +version = "1.40.0" +description = "Type annotations for boto3 DynamoDB 1.40.0 service generated with mypy-boto3-builder 8.11.0" optional = false python-versions = ">=3.8" groups = ["dev"] files = [ - {file = "mypy_boto3_dynamodb-1.39.0-py3-none-any.whl", hash = "sha256:3a136f9d764fa5e1b2ff464fa9599533fd00e65affe47bd28a40d920ece707a4"}, - {file = "mypy_boto3_dynamodb-1.39.0.tar.gz", hash = "sha256:c3bafc7b4f8d59bac9a7436c7ccfb6fe32991bc7fc88c62264eaad06ae63f8a8"}, + {file = "mypy_boto3_dynamodb-1.40.0-py3-none-any.whl", hash = "sha256:b7b0c02e58d1c2323378a9c648c39c68bef867cf7da2721ea257e1c6aaa3d229"}, + {file = "mypy_boto3_dynamodb-1.40.0.tar.gz", hash = "sha256:97f65006a1706f7cbdf53ad1c3a9914e10b53754194db4ad12004eca7c376b4e"}, ] [package.dependencies] From e97e275c49273fcb971b34e84f9145b31352a3d6 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 11:05:21 -0400 Subject: [PATCH 17/52] Build: Bump pypa/cibuildwheel from 3.0.1 to 3.1.3 (#2285) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 3.0.1 to 3.1.3.
Release notes

Sourced from pypa/cibuildwheel's releases.

v3.1.3

  • 🐛 Fix bug where "latest" dependencies couldn't update to pip 25.2 on Windows (#2537)
  • 🛠 Use pytest-rerunfailures to improve some of our iOS/Android tests (#2527, #2539)
  • 🛠 Remove some GraalPy Windows workarounds in our tests (#2501)

v3.1.2

  • ⚠️ Add an error if CIBW_FREE_THREADING_SUPPORT is set; you are likely missing 3.13t wheels, please use the enable/CIBW_ENABLE (#2520)
  • 🛠 riscv64 now enabled if you target that architecture, it's now supported on PyPI (#2509)
  • 🛠 Add warning when using cpython-experimental-riscv64 (no longer needed) (#2526, #2528)
  • 🛠 iOS versions bumped, fixing issues with 3.14 (now RC 1) (#2530)
  • 🐛 Fix bug in Android running wheel from our GitHub Action (#2517)
  • 🐛 Fix warning when using test-skip of "*-macosx_universal2:arm64" (#2522)
  • 🐛 Fix incorrect number of wheels reported in logs, again (#2517)
  • 📚 We welcome our Android platform maintainer (#2516)

v3.1.1

  • 🐛 Fix a bug showing an incorrect wheel count at the end of execution, and misrepresenting test-only runs in the GitHub Action summary (#2512)
  • 📚 Docs fix (#2510)

v3.1.0

  • 🌟 CPython 3.14 wheels are now built by default - without the "cpython-prerelease" enable set. It's time to build and upload these wheels to PyPI! This release includes CPython 3.14.0rc1, which is guaranteed to be ABI compatible with the final release. (#2507) Free-threading is no longer experimental in 3.14, so you have to skip it explicitly with 'cp31?t-*' if you don't support it yet. (#2503)
  • 🌟 Adds the ability to build wheels for Android! Set the platform option to android on Linux or macOS to try it out! (#2349)
  • 🌟 Adds Pyodide 0.28, which builds 3.13 wheels (#2487)
  • ✨ Support for 32-bit manylinux_2_28 (now a consistent default) and manylinux_2_34 added (#2500)
  • 🛠 Improved summary, will also use markdown summary output on GHA (#2469)
  • 🛠 The riscv64 images now have a working default (as they are now part of pypy/manylinux), but are still experimental (and behind an enable) since you can't push them to PyPI yet (#2506)
  • 🛠 Fixed a typo in the 3.9 MUSL riscv64 identifier (cp39-musllinux_ricv64 -> cp39-musllinux_riscv64) (#2490)
  • 🛠 Mistyping --only now shows the correct possibilities, and even suggests near matches on Python 3.14+ (#2499)
  • 🛠 Only support one output from the repair step on linux like other platforms; auditwheel fixed this over four years ago! (#2478)
  • 🛠 We now use pattern matching extensively (#2434)
  • 📚 We now have platform maintainers for our special platforms and interpreters! (#2481)
Changelog

Sourced from pypa/cibuildwheel's changelog.

v3.1.3

1 August 2025

  • 🐛 Fix bug where "latest" dependencies couldn't update to pip 25.2 on Windows (#2537)
  • 🛠 Use pytest-rerunfailures to improve some of our iOS/Android tests (#2527, #2539)
  • 🛠 Remove some GraalPy Windows workarounds in our tests (#2501)

v3.1.2

29 July 2025

  • ⚠️ Add an error if CIBW_FREE_THREADING_SUPPORT is set; you are likely missing 3.13t wheels, please use the enable/CIBW_ENABLE (#2520)
  • 🛠 riscv64 now enabled if you target that architecture, it's now supported on PyPI (#2509)
  • 🛠 Add warning when using cpython-experimental-riscv64 (no longer needed) (#2526, #2528)
  • 🛠 iOS versions bumped, fixing issues with 3.14 (now RC 1) (#2530)
  • 🐛 Fix bug in Android running wheel from our GitHub Action (#2517)
  • 🐛 Fix warning when using test-skip of "*-macosx_universal2:arm64" (#2522)
  • 🐛 Fix incorrect number of wheels reported in logs, again (#2517)
  • 📚 We welcome our Android platform maintainer (#2516)

v3.1.1

24 July 2025

  • 🐛 Fix a bug showing an incorrect wheel count at the end of execution, and misrepresenting test-only runs in the GitHub Action summary (#2512)
  • 📚 Docs fix (#2510)

v3.1.0

23 July 2025

  • 🌟 CPython 3.14 wheels are now built by default - without the "cpython-prerelease" enable set. It's time to build and upload these wheels to PyPI! This release includes CPython 3.14.0rc1, which is guaranteed to be ABI compatible with the final release. (#2507) Free-threading is no longer experimental in 3.14, so you have to skip it explicitly with 'cp31?t-*' if you don't support it yet. (#2503)
  • 🌟 Adds the ability to build wheels for Android! Set the platform option to android on Linux or macOS to try it out! (#2349)
  • 🌟 Adds Pyodide 0.28, which builds 3.13 wheels (#2487)
  • ✨ Support for 32-bit manylinux_2_28 (now a consistent default) and manylinux_2_34 added (#2500)
  • 🛠 Improved summary, will also use markdown summary output on GHA (#2469)
  • 🛠 The riscv64 images now have a working default (as they are now part of pypy/manylinux), but are still experimental (and behind an enable) since you can't push them to PyPI yet (#2506)
  • 🛠 Fixed a typo in the 3.9 MUSL riscv64 identifier (cp39-musllinux_ricv64 -> cp39-musllinux_riscv64) (#2490)
  • 🛠 Mistyping --only now shows the correct possibilities, and even suggests near matches on Python 3.14+ (#2499)
  • 🛠 Only support one output from the repair step on linux like other platforms; auditwheel fixed this over four years ago! (#2478)
  • 🛠 We now use pattern matching extensively (#2434)
  • 📚 We now have platform maintainers for our special platforms and interpreters! (#2481)
Commits

[![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=pypa/cibuildwheel&package-manager=github_actions&previous-version=3.0.1&new-version=3.1.3)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) ---
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/pypi-build-artifacts.yml | 2 +- .github/workflows/svn-build-artifacts.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pypi-build-artifacts.yml b/.github/workflows/pypi-build-artifacts.yml index b8c9384ef3..538c59667e 100644 --- a/.github/workflows/pypi-build-artifacts.yml +++ b/.github/workflows/pypi-build-artifacts.yml @@ -62,7 +62,7 @@ jobs: if: startsWith(matrix.os, 'ubuntu') - name: Build wheels - uses: pypa/cibuildwheel@v3.0.1 + uses: pypa/cibuildwheel@v3.1.3 with: output-dir: wheelhouse config-file: "pyproject.toml" diff --git a/.github/workflows/svn-build-artifacts.yml b/.github/workflows/svn-build-artifacts.yml index f222411e4d..a60a827f25 100644 --- a/.github/workflows/svn-build-artifacts.yml +++ b/.github/workflows/svn-build-artifacts.yml @@ -57,7 +57,7 @@ jobs: if: startsWith(matrix.os, 'ubuntu') - name: Build wheels - uses: pypa/cibuildwheel@v3.0.1 + uses: pypa/cibuildwheel@v3.1.3 with: output-dir: wheelhouse config-file: "pyproject.toml" From 7b0c8568fbe84708391c6962c57a34f856d9ec30 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 11:06:35 -0400 Subject: [PATCH 18/52] Build: Bump griffe from 1.7.3 to 1.9.0 (#2280) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [griffe](https://github.com/mkdocstrings/griffe) from 1.7.3 to 1.9.0.
Release notes

Sourced from griffe's releases.

1.9.0

1.9.0 - 2025-07-28

Compare with 1.8.0

Features

1.8.0

1.8.0 - 2025-07-23

Compare with 1.7.3

Features

  • Add method to functions and classes to build and return a stringified signature (8ef1486 by ISOREX). Discussion-376, PR-381, Co-authored-by: Timothée Mazzucotelli dev@pawamoy.fr
  • Enhance Sphinx-style parameter parsing to handle invalid type info (cbce5a2 by Edouard Choinière). PR-396
  • Parse Sphinx parameter types as expressions (70dda21 by Edouard Choinière). PR-392

Bug Fixes

Code Refactoring

  • Be more consistent regarding not overriding submodules with aliases (be1963c by Timothée Mazzucotelli).
  • Allow ExprName.parent to be of type griffe.Function (acafbd8 by Edouard Choinière). Issue-391, PR-395
  • Normalize labels for attributes (1b376cd by Timothée Mazzucotelli).
Changelog

Sourced from griffe's changelog.

1.9.0 - 2025-07-28

Compare with 1.8.0

Features

1.8.0 - 2025-07-23

Compare with 1.7.3

Features

  • Add method to functions and classes to build and return a stringified signature (8ef1486 by ISOREX). Discussion-376, PR-381, Co-authored-by: Timothée Mazzucotelli dev@pawamoy.fr
  • Enhance Sphinx-style parameter parsing to handle invalid type info (cbce5a2 by Edouard Choinière). PR-396
  • Parse Sphinx parameter types as expressions (70dda21 by Edouard Choinière). PR-392

Bug Fixes

Code Refactoring

  • Be more consistent regarding not overriding submodules with aliases (be1963c by Timothée Mazzucotelli).
  • Allow ExprName.parent to be of type griffe.Function (acafbd8 by Edouard Choinière). Issue-391, PR-395
  • Normalize labels for attributes (1b376cd by Timothée Mazzucotelli).
Commits
  • 032779a chore: Prepare release 1.9.0
  • be28e9c feat: Support PEP 695 generics
  • 27a385b chore: Prepare release 1.8.0
  • 8ef1486 feat: Add method to functions and classes to build and return a stringified s...
  • b346190 fix: Avoid SyntaxError when loading modules encoded in UTF8 with BOM
  • a8c5585 fix: Correctly parenthesize expressions
  • 0a05186 ci: Ignore Mypy warnings
  • cbce5a2 feat: Enhance Sphinx-style parameter parsing to handle invalid type info
  • 2d77bf1 Merge branch 'main' of github.com:mkdocstrings/griffe
  • be1963c refactor: Be more consistent regarding not overriding submodules with aliases
  • Additional commits viewable in compare view

[![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=griffe&package-manager=pip&previous-version=1.7.3&new-version=1.9.0)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) ---
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 8 ++++---- pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0d7e28901a..dd3ae287e8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2075,14 +2075,14 @@ test = ["objgraph", "psutil"] [[package]] name = "griffe" -version = "1.7.3" +version = "1.9.0" description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.9" groups = ["docs"] files = [ - {file = "griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75"}, - {file = "griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b"}, + {file = "griffe-1.9.0-py3-none-any.whl", hash = "sha256:bcf90ee3ad42bbae70a2a490c782fc8e443de9b84aa089d857c278a4e23215fc"}, + {file = "griffe-1.9.0.tar.gz", hash = "sha256:b5531cf45e9b73f0842c2121cc4d4bcbb98a55475e191fc9830e7aef87a920a0"}, ] [package.dependencies] @@ -6408,4 +6408,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "78aa4cd13723b0a2d245c555a25c331a7c391ea873f9e53f51b8a187478199db" +content-hash = "f284faaefc50898177d1c9b9952f6e692324b8b8bcc63928b5ecc2b45d53fa5b" diff --git a/pyproject.toml b/pyproject.toml index c37dedcdb0..d308cb383c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -109,7 +109,7 @@ mypy-boto3-dynamodb = ">=1.28.18" [tool.poetry.group.docs.dependencies] # for mkdocs mkdocs = "1.6.1" -griffe = "1.7.3" +griffe = "1.9.0" jinja2 = "3.1.6" mkdocstrings = "0.30.0" mkdocstrings-python = "1.16.12" From aa8c6afe5c3040920e436e8f16b87247b32075b1 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Tue, 5 Aug 2025 17:08:03 +0200 Subject: [PATCH 19/52] Remove unused `AddFileTask` (#2284) # Rationale for this change # Are these changes tested? # Are there any user-facing changes? --- pyiceberg/table/__init__.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py index 21898e9c4d..30b06fcb0b 100644 --- a/pyiceberg/table/__init__.py +++ b/pyiceberg/table/__init__.py @@ -2096,14 +2096,6 @@ def generate_data_file_filename(self, extension: str) -> str: return f"00000-{self.task_id}-{self.write_uuid}.{extension}" -@dataclass(frozen=True) -class AddFileTask: - """Task with the parameters for adding a Parquet file as a DataFile.""" - - file_path: str - partition_field_value: Record - - def _parquet_files_to_data_files(table_metadata: TableMetadata, file_paths: List[str], io: FileIO) -> Iterable[DataFile]: """Convert a list files into DataFiles. From d1c6005ad05166ab0fb08d3c15ccdfd7568e8013 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 5 Aug 2025 12:02:52 -0400 Subject: [PATCH 20/52] Build: Bump mkdocs-material from 9.6.15 to 9.6.16 (#2286) Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 9.6.15 to 9.6.16.
Release notes

Sourced from mkdocs-material's releases.

mkdocs-material-9.6.16

  • Fixed #8349: Info plugin doesn't correctly detect virtualenv in some cases
  • Fixed #8334: Find-in-page detects matches in hidden search result list
Changelog

Sourced from mkdocs-material's changelog.

mkdocs-material-9.6.16 (2025-07-26)

  • Fixed #8349: Info plugin doesn't correctly detect virtualenv in some cases
  • Fixed #8334: Find-in-page detects matches in hidden search result list

mkdocs-material-9.6.15 (2025-07-01)

  • Updated Mongolian translations
  • Improved semantic markup of "edit this page" button
  • Improved info plugin virtual environment resolution
  • Fixed #8291: Large font size setting throws of breakpoints in JavaScript

mkdocs-material-9.6.14 (2025-05-13)

  • Fixed #8215: Social plugin crashes when CairoSVG is updated to 2.8

mkdocs-material-9.6.13 (2025-05-10)

  • Fixed #8204: Annotations showing list markers in print view
  • Fixed #8153: Improve style of cardinality symbols in Mermaid.js ER diagrams

mkdocs-material-9.6.12 (2025-04-17)

  • Fixed #8158: Flip footnote back reference icon for right-to-left languages

mkdocs-material-9.6.11 (2025-04-01)

  • Updated Docker image to latest Alpine Linux
  • Bump required Jinja version to 3.1
  • Fixed #8133: Jinja filter items not available (9.6.10 regression)
  • Fixed #8128: Search plugin not entirely disabled via enabled setting

mkdocs-material-9.6.10 (2025-03-30)

This version is a pure refactoring release, and does not contain new features or bug fixes. It strives to improve the compatibility of our templates with alternative Jinja-like template engines that we're currently exploring, including minijinja.

Additionally, it replaces several instances of Python function invocations with idiomatic use of template filters. All instances where variables have been mutated inside templates have been replaced. Most changes have been made in partials, and only a few in blocks, and all of them are fully backward compatible, so no changes to overrides are necessary.

Note that this release does not replace the Jinja template engine with minijinja. However, our templates are now 99% compatible with minijinja, which means we can explore alternative Jinja-compatible implementations. Additionally, immutability and removal of almost all Python function invocations means much more idiomatic templating.

... (truncated)

Commits
  • 8b94981 Prepare 9.6.16 release
  • e5c7ab5 Updated dependencies
  • 5338552 Fixed handling of inconsistent drive letter case
  • 6d4f756 Fixed dotpath venv guessing
  • 88bdcf5 Fixed empty username fallback
  • d0c4bd6 Merge pull request #8346 from squidfunk/dependabot/npm_and_yarn/form-data-3.0.4
  • 9c1e4de Bump form-data from 3.0.1 to 3.0.4
  • b2d235e Updated Premium sponsors
  • e54ff06 Updated Premium sponsors
  • 212b7ab Updated Premium sponsors
  • Additional commits viewable in compare view

[![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=mkdocs-material&package-manager=pip&previous-version=9.6.15&new-version=9.6.16)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) ---
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 8 ++++---- pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index dd3ae287e8..b4d59b3121 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2798,14 +2798,14 @@ mkdocs = ">=1.4.1" [[package]] name = "mkdocs-material" -version = "9.6.15" +version = "9.6.16" description = "Documentation that simply works" optional = false python-versions = ">=3.8" groups = ["docs"] files = [ - {file = "mkdocs_material-9.6.15-py3-none-any.whl", hash = "sha256:ac969c94d4fe5eb7c924b6d2f43d7db41159ea91553d18a9afc4780c34f2717a"}, - {file = "mkdocs_material-9.6.15.tar.gz", hash = "sha256:64adf8fa8dba1a17905b6aee1894a5aafd966d4aeb44a11088519b0f5ca4f1b5"}, + {file = "mkdocs_material-9.6.16-py3-none-any.whl", hash = "sha256:8d1a1282b892fe1fdf77bfeb08c485ba3909dd743c9ba69a19a40f637c6ec18c"}, + {file = "mkdocs_material-9.6.16.tar.gz", hash = "sha256:d07011df4a5c02ee0877496d9f1bfc986cfb93d964799b032dd99fe34c0e9d19"}, ] [package.dependencies] @@ -6408,4 +6408,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "f284faaefc50898177d1c9b9952f6e692324b8b8bcc63928b5ecc2b45d53fa5b" +content-hash = "8bc2837a064384f0ed11f28a4411e107c5dd90cc0259e354546ce78b9967555b" diff --git a/pyproject.toml b/pyproject.toml index d308cb383c..41b079a249 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -116,7 +116,7 @@ mkdocstrings-python = "1.16.12" mkdocs-literate-nav = "0.6.2" mkdocs-autorefs = "1.4.2" mkdocs-gen-files = "0.5.0" -mkdocs-material = "9.6.15" +mkdocs-material = "9.6.16" mkdocs-material-extensions = "1.3.1" mkdocs-section-index = "0.3.10" From f21e2a1f6e8d19c69938b360faa6fe46d983d6ae Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 6 Aug 2025 16:05:53 +0200 Subject: [PATCH 21/52] Build: Bump pyiceberg-core from 0.5.1 to 0.6.0 (#2275) Bumps [pyiceberg-core](https://rust.iceberg.apache.org) from 0.5.1 to 0.6.0. [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=pyiceberg-core&package-manager=pip&previous-version=0.5.1&new-version=0.6.0)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) ---
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- poetry.lock | 16 ++++++++-------- pyproject.toml | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index b4d59b3121..4a4f95f0c5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4470,19 +4470,19 @@ windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pyiceberg-core" -version = "0.5.1" +version = "0.6.0" description = "" optional = true python-versions = "~=3.9" groups = ["main"] markers = "extra == \"pyarrow\" or extra == \"pyiceberg-core\"" files = [ - {file = "pyiceberg_core-0.5.1-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:f5bffe70f036d4409ab5f8a2a52353635dfa9afa665e84eb5fb0415d12171aaa"}, - {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:aa5d0d00efeb7c03ad48b17577452f42398f398b41034d2695a294c872365fcd"}, - {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ae88f65f68898a680dde4d83179903d14b9ef2ca8f7b8715fca5d91a2aa24cd"}, - {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:9d02f82292d2d01cc6b43f79eadf1209e84457cf0a2b945a2ed834245d6a45f6"}, - {file = "pyiceberg_core-0.5.1-cp39-abi3-win_amd64.whl", hash = "sha256:aad22d3ea743fcf941336542fcf565e16b28b9131087d70e1b03924005334af3"}, - {file = "pyiceberg_core-0.5.1.tar.gz", hash = "sha256:5359750e690169e06e4c20b74854f0048abbb5fe74b75919247d87cf2af2fcf4"}, + {file = "pyiceberg_core-0.6.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:2f228a54a2a69912378be18f98ea866bb4a08d265c875856f99cd81f2f7299ba"}, + {file = "pyiceberg_core-0.6.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:edb41a1f182774085b11352a1f44955d561e21453f00973021244471873fbbd7"}, + {file = "pyiceberg_core-0.6.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cf869d225d57254a54bc3778841cffea4193319bc0a849767a15e05e75c9b36"}, + {file = "pyiceberg_core-0.6.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:18c12fe1ac5b4725b673cf0d1d0ab3e9475644ac0dae871a2e9a293c2622f0a8"}, + {file = "pyiceberg_core-0.6.0-cp39-abi3-win_amd64.whl", hash = "sha256:d3249eeae5e1d1f1d2c8bd8d6eced98da002afa7c48c751cb22d8dbd4b091a1e"}, + {file = "pyiceberg_core-0.6.0.tar.gz", hash = "sha256:ce2cac8cf8a85da6e682cec032165fcf387256257971f0f84bc6d50c0941f261"}, ] [[package]] @@ -6408,4 +6408,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "8bc2837a064384f0ed11f28a4411e107c5dd90cc0259e354546ce78b9967555b" +content-hash = "80d21d534ed064f5e4a377d42aeec41eeaba48b5d85e059816e690b31294f8d8" diff --git a/pyproject.toml b/pyproject.toml index 41b079a249..0f162b7c28 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -82,7 +82,7 @@ sqlalchemy = { version = "^2.0.18", optional = true } bodo = { version = ">=2025.7.4", optional = true } daft = { version = ">=0.5.0", optional = true } cachetools = ">=5.5,<7.0" -pyiceberg-core = { version = "^0.5.1", optional = true } +pyiceberg-core = { version = ">=0.5.1,<0.7.0", optional = true } polars = { version = "^1.21.0", optional = true } thrift-sasl = { version = ">=0.4.3", optional = true } kerberos = {version = "^1.3.1", optional = true} From 2a11b258c6f32390a39c7c19b6410f473cf47987 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Wed, 6 Aug 2025 17:43:06 +0200 Subject: [PATCH 22/52] Bump Iceberg in CI (#2288) # Rationale for this change Just a small bump, noticed this while working on some other stuff # Are these changes tested? # Are there any user-facing changes? --- tests/conftest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/conftest.py b/tests/conftest.py index 79560bc532..967180bc5a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2501,7 +2501,7 @@ def spark() -> "SparkSession": # Remember to also update `dev/Dockerfile` spark_version = ".".join(importlib.metadata.version("pyspark").split(".")[:2]) scala_version = "2.12" - iceberg_version = "1.9.0" + iceberg_version = "1.9.2" os.environ["PYSPARK_SUBMIT_ARGS"] = ( f"--packages org.apache.iceberg:iceberg-spark-runtime-{spark_version}_{scala_version}:{iceberg_version}," From a32c3dc5c0ade3f3a6901b9c1b33b79140cae5e7 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Wed, 6 Aug 2025 17:44:11 +0200 Subject: [PATCH 23/52] Use `rest` shorthand in `conftest.py` (#2289) # Rationale for this change Added this wayyyy back: https://github.com/apache/iceberg/pull/5570/. I think this is nicer than the full Java classpath # Are these changes tested? # Are there any user-facing changes? --- tests/conftest.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/conftest.py b/tests/conftest.py index 967180bc5a..c882302cfa 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2519,7 +2519,7 @@ def spark() -> "SparkSession": .config("spark.default.parallelism", "1") .config("spark.sql.extensions", "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions") .config("spark.sql.catalog.integration", "org.apache.iceberg.spark.SparkCatalog") - .config("spark.sql.catalog.integration.catalog-impl", "org.apache.iceberg.rest.RESTCatalog") + .config("spark.sql.catalog.integration.type", "rest") .config("spark.sql.catalog.integration.cache-enabled", "false") .config("spark.sql.catalog.integration.uri", "http://localhost:8181") .config("spark.sql.catalog.integration.io-impl", "org.apache.iceberg.aws.s3.S3FileIO") From 45f66da7a97c6097cb00c3b3370d164c224f0430 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Wed, 6 Aug 2025 19:35:52 +0200 Subject: [PATCH 24/52] Add test for migrated tables (#2290) Identified two issues that can be worked on in parallel # Rationale for this change # Are these changes tested? # Are there any user-facing changes? --------- Co-authored-by: Kevin Liu --- tests/conftest.py | 13 +++- tests/integration/test_hive_migration.py | 86 ++++++++++++++++++++++++ 2 files changed, 98 insertions(+), 1 deletion(-) create mode 100644 tests/integration/test_hive_migration.py diff --git a/tests/conftest.py b/tests/conftest.py index c882302cfa..c01ccc979c 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2502,9 +2502,13 @@ def spark() -> "SparkSession": spark_version = ".".join(importlib.metadata.version("pyspark").split(".")[:2]) scala_version = "2.12" iceberg_version = "1.9.2" + hadoop_version = "3.3.4" + aws_sdk_version = "1.12.753" os.environ["PYSPARK_SUBMIT_ARGS"] = ( f"--packages org.apache.iceberg:iceberg-spark-runtime-{spark_version}_{scala_version}:{iceberg_version}," + f"org.apache.hadoop:hadoop-aws:{hadoop_version}," + f"com.amazonaws:aws-java-sdk-bundle:{aws_sdk_version}," f"org.apache.iceberg:iceberg-aws-bundle:{iceberg_version} pyspark-shell" ) os.environ["AWS_REGION"] = "us-east-1" @@ -2526,7 +2530,6 @@ def spark() -> "SparkSession": .config("spark.sql.catalog.integration.warehouse", "s3://warehouse/wh/") .config("spark.sql.catalog.integration.s3.endpoint", "http://localhost:9000") .config("spark.sql.catalog.integration.s3.path-style-access", "true") - .config("spark.sql.defaultCatalog", "integration") .config("spark.sql.catalog.hive", "org.apache.iceberg.spark.SparkCatalog") .config("spark.sql.catalog.hive.type", "hive") .config("spark.sql.catalog.hive.uri", "http://localhost:9083") @@ -2534,6 +2537,14 @@ def spark() -> "SparkSession": .config("spark.sql.catalog.hive.warehouse", "s3://warehouse/hive/") .config("spark.sql.catalog.hive.s3.endpoint", "http://localhost:9000") .config("spark.sql.catalog.hive.s3.path-style-access", "true") + .config("spark.sql.catalog.spark_catalog", "org.apache.iceberg.spark.SparkSessionCatalog") + .config("spark.sql.catalog.spark_catalog.type", "hive") + .config("spark.sql.catalog.spark_catalog.uri", "http://localhost:9083") + .config("spark.sql.catalog.spark_catalog.warehouse", "s3://warehouse/hive/") + .config("spark.hadoop.fs.s3a.endpoint", "http://localhost:9000") + .config("spark.hadoop.fs.s3a.path.style.access", "true") + .config("spark.sql.catalogImplementation", "hive") + .config("spark.sql.defaultCatalog", "integration") .config("spark.sql.execution.arrow.pyspark.enabled", "true") .getOrCreate() ) diff --git a/tests/integration/test_hive_migration.py b/tests/integration/test_hive_migration.py new file mode 100644 index 0000000000..060450731e --- /dev/null +++ b/tests/integration/test_hive_migration.py @@ -0,0 +1,86 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +import time + +import pytest +from pyspark.sql import SparkSession + +from pyiceberg.catalog import Catalog + + +@pytest.mark.integration +def test_migrate_table( + session_catalog_hive: Catalog, + spark: SparkSession, +) -> None: + """ + Imported tables are an edge case since the partition column is not stored + in the Parquet files: + + test_migrate_table_hive_1754486926/dt=2022-01-01/part-00000-30a9798b-7597-4027-86d9-79d7c529bc87.c000.snappy.parquet + { + "type" : "record", + "name" : "spark_schema", + "fields" : [ { + "name" : "number", + "type" : "int" + } ] + } + + PyIceberg will project this column when the table is being read + """ + # Create new tables to avoid complex cleanup + src_table_identifier = f"spark_catalog.default.test_migrate_table_hive_{int(time.time())}" + dst_table_identifier = f"default.test_migrate_table_{int(time.time())}" + + spark.sql(f""" + CREATE TABLE {src_table_identifier} ( + number INTEGER + ) + PARTITIONED BY (dt date) + STORED AS parquet + """) + + spark.sql(f""" + INSERT OVERWRITE TABLE {src_table_identifier} + PARTITION (dt='2022-01-01') + VALUES (1), (2), (3) + """) + + spark.sql(f""" + INSERT OVERWRITE TABLE {src_table_identifier} + PARTITION (dt='2023-01-01') + VALUES (4), (5), (6) + """) + + # Docs: https://iceberg.apache.org/docs/latest/hive-migration/#snapshot-hive-table-to-iceberg + spark.sql(f""" + CALL hive.system.snapshot('{src_table_identifier}', 'hive.{dst_table_identifier}') + """) + + tbl = session_catalog_hive.load_table(dst_table_identifier) + assert tbl.schema().column_names == ["number", "dt"] + + # TODO: Returns the primitive type (int), rather than the logical type + # assert set(tbl.scan().to_arrow().column(1).combine_chunks().tolist()) == {'2022-01-01', '2023-01-01'} + + assert tbl.scan(row_filter="number > 3").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6] + + assert tbl.scan(row_filter="dt == '2023-01-01'").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6] + + # TODO: Issue with filtering the projected column + # assert tbl.scan(row_filter="dt == '2022-01-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3] From b6a45ed70676e1f0e832fa820a4d8b4b0bd42d23 Mon Sep 17 00:00:00 2001 From: Kristofer Gaudel <68076186+kris-gaudel@users.noreply.github.com> Date: Wed, 6 Aug 2025 17:12:32 -0400 Subject: [PATCH 25/52] fix: sanitize invalid Avro field names in manifest file (#2245) Closes https://github.com/apache/iceberg-python/issues/2123 # Rationale for this change Fixing sanitization behaviour to match specification and Java implementation # Are these changes tested? Yes - Unit and integration tests # Are there any user-facing changes? Yes - Field names will be sanitized to be Avro compatible if not already --------- Co-authored-by: Kevin Liu --- pyiceberg/schema.py | 22 +- pyiceberg/utils/schema_conversion.py | 29 +- tests/integration/test_writes/test_writes.py | 131 +++++++++ tests/test_avro_sanitization.py | 269 +++++++++++++++++++ 4 files changed, 442 insertions(+), 9 deletions(-) create mode 100644 tests/test_avro_sanitization.py diff --git a/pyiceberg/schema.py b/pyiceberg/schema.py index 6333ace6e2..1eadc58361 100644 --- a/pyiceberg/schema.py +++ b/pyiceberg/schema.py @@ -78,6 +78,9 @@ INITIAL_SCHEMA_ID = 0 +FIELD_ID_PROP = "field-id" +ICEBERG_FIELD_NAME_PROP = "iceberg-field-name" + class Schema(IcebergBaseModel): """A table Schema. @@ -1356,6 +1359,21 @@ def primitive(self, primitive: PrimitiveType) -> PrimitiveType: # Implementation copied from Apache Iceberg repo. def make_compatible_name(name: str) -> str: + """Make a field name compatible with Avro specification. + + This function sanitizes field names to comply with Avro naming rules: + - Names must start with [A-Za-z_] + - Subsequent characters must be [A-Za-z0-9_] + + Invalid characters are replaced with _xHHHH where HHHH is the hex code. + Names starting with digits get a leading underscore. + + Args: + name: The original field name + + Returns: + A sanitized name that complies with Avro specification + """ if not _valid_avro_name(name): return _sanitize_name(name) return name @@ -1391,7 +1409,9 @@ def _sanitize_name(name: str) -> str: def _sanitize_char(character: str) -> str: - return "_" + character if character.isdigit() else "_x" + hex(ord(character))[2:].upper() + if character.isdigit(): + return "_" + character + return "_x" + hex(ord(character))[2:].upper() def sanitize_column_names(schema: Schema) -> Schema: diff --git a/pyiceberg/utils/schema_conversion.py b/pyiceberg/utils/schema_conversion.py index 232b8f0094..551fa40156 100644 --- a/pyiceberg/utils/schema_conversion.py +++ b/pyiceberg/utils/schema_conversion.py @@ -26,7 +26,14 @@ Union, ) -from pyiceberg.schema import Schema, SchemaVisitorPerPrimitiveType, visit +from pyiceberg.schema import ( + FIELD_ID_PROP, + ICEBERG_FIELD_NAME_PROP, + Schema, + SchemaVisitorPerPrimitiveType, + make_compatible_name, + visit, +) from pyiceberg.types import ( BinaryType, BooleanType, @@ -225,13 +232,13 @@ def _convert_field(self, field: Dict[str, Any]) -> NestedField: Returns: The Iceberg equivalent field. """ - if "field-id" not in field: - raise ValueError(f"Cannot convert field, missing field-id: {field}") + if FIELD_ID_PROP not in field: + raise ValueError(f"Cannot convert field, missing {FIELD_ID_PROP}: {field}") plain_type, required = self._resolve_union(field["type"]) return NestedField( - field_id=field["field-id"], + field_id=field[FIELD_ID_PROP], name=field["name"], field_type=self._convert_schema(plain_type), required=required, @@ -524,12 +531,18 @@ def field(self, field: NestedField, field_result: AvroType) -> AvroType: if isinstance(field_result, dict) and field_result.get("type") == "record": field_result["name"] = f"r{field.field_id}" + original_name = field.name + sanitized_name = make_compatible_name(original_name) + result = { - "name": field.name, - "field-id": field.field_id, + "name": sanitized_name, + FIELD_ID_PROP: field.field_id, "type": field_result if field.required else ["null", field_result], } + if original_name != sanitized_name: + result[ICEBERG_FIELD_NAME_PROP] = original_name + if field.write_default is not None: result["default"] = field.write_default elif field.optional: @@ -564,8 +577,8 @@ def map(self, map_type: MapType, key_result: AvroType, value_result: AvroType) - "type": "record", "name": f"k{self.last_map_key_field_id}_v{self.last_map_value_field_id}", "fields": [ - {"name": "key", "type": key_result, "field-id": self.last_map_key_field_id}, - {"name": "value", "type": value_result, "field-id": self.last_map_value_field_id}, + {"name": "key", "type": key_result, FIELD_ID_PROP: self.last_map_key_field_id}, + {"name": "value", "type": value_result, FIELD_ID_PROP: self.last_map_value_field_id}, ], }, "logicalType": "map", diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py index b73680e483..173ddf782b 100644 --- a/tests/integration/test_writes/test_writes.py +++ b/tests/integration/test_writes/test_writes.py @@ -1201,6 +1201,137 @@ def test_sanitize_character_partitioned(catalog: Catalog) -> None: assert len(tbl.scan().to_arrow()) == 22 +@pytest.mark.integration +@pytest.mark.parametrize("catalog", [pytest.lazy_fixture("session_catalog")]) +def test_sanitize_character_partitioned_avro_bug(catalog: Catalog) -> None: + table_name = "default.test_table_partitioned_sanitized_character_avro" + try: + catalog.drop_table(table_name) + except NoSuchTableError: + pass + + schema = Schema( + NestedField(id=1, name="😎", field_type=StringType(), required=False), + ) + + partition_spec = PartitionSpec( + PartitionField( + source_id=1, + field_id=1001, + transform=IdentityTransform(), + name="😎", + ) + ) + + tbl = _create_table( + session_catalog=catalog, + identifier=table_name, + schema=schema, + partition_spec=partition_spec, + data=[ + pa.Table.from_arrays( + [pa.array([str(i) for i in range(22)])], schema=pa.schema([pa.field("😎", pa.string(), nullable=False)]) + ) + ], + ) + + assert len(tbl.scan().to_arrow()) == 22 + + # verify that we can read the table with DuckDB + import duckdb + + location = tbl.metadata_location + duckdb.sql("INSTALL iceberg; LOAD iceberg;") + # Configure S3 settings for DuckDB to match the catalog configuration + duckdb.sql("SET s3_endpoint='localhost:9000';") + duckdb.sql("SET s3_access_key_id='admin';") + duckdb.sql("SET s3_secret_access_key='password';") + duckdb.sql("SET s3_use_ssl=false;") + duckdb.sql("SET s3_url_style='path';") + result = duckdb.sql(f"SELECT * FROM iceberg_scan('{location}')").fetchall() + assert len(result) == 22 + + +@pytest.mark.integration +@pytest.mark.parametrize("format_version", [1, 2]) +def test_cross_platform_special_character_compatibility( + spark: SparkSession, session_catalog: Catalog, format_version: int +) -> None: + """Test cross-platform compatibility with special characters in column names.""" + identifier = "default.test_cross_platform_special_characters" + + # Test various special characters that need sanitization + special_characters = [ + "😎", # emoji - Java produces _xD83D_xDE0E, Python produces _x1F60E + "a.b", # dot - both should produce a_x2Eb + "a#b", # hash - both should produce a_x23b + "9x", # starts with digit - both should produce _9x + "x_", # valid - should remain unchanged + "letter/abc", # slash - both should produce letter_x2Fabc + ] + + for i, special_char in enumerate(special_characters): + table_name = f"{identifier}_{format_version}_{i}" + pyiceberg_table_name = f"{identifier}_pyiceberg_{format_version}_{i}" + + try: + session_catalog.drop_table(table_name) + except Exception: + pass + try: + session_catalog.drop_table(pyiceberg_table_name) + except Exception: + pass + + try: + # Test 1: Spark writes, PyIceberg reads + spark_df = spark.createDataFrame([("test_value",)], [special_char]) + spark_df.writeTo(table_name).using("iceberg").createOrReplace() + + # Read with PyIceberg table scan + tbl = session_catalog.load_table(table_name) + pyiceberg_df = tbl.scan().to_pandas() + assert len(pyiceberg_df) == 1 + assert special_char in pyiceberg_df.columns + assert pyiceberg_df.iloc[0][special_char] == "test_value" + + # Test 2: PyIceberg writes, Spark reads + from pyiceberg.schema import Schema + from pyiceberg.types import NestedField, StringType + + schema = Schema(NestedField(field_id=1, name=special_char, field_type=StringType(), required=True)) + + tbl_pyiceberg = session_catalog.create_table( + identifier=pyiceberg_table_name, schema=schema, properties={"format-version": str(format_version)} + ) + + import pyarrow as pa + + # Create PyArrow schema with required field to match Iceberg schema + pa_schema = pa.schema([pa.field(special_char, pa.string(), nullable=False)]) + data = pa.Table.from_pydict({special_char: ["pyiceberg_value"]}, schema=pa_schema) + tbl_pyiceberg.append(data) + + # Read with Spark + spark_df_read = spark.table(pyiceberg_table_name) + spark_result = spark_df_read.collect() + + # Verify data integrity + assert len(spark_result) == 1 + assert special_char in spark_df_read.columns + assert spark_result[0][special_char] == "pyiceberg_value" + + finally: + try: + session_catalog.drop_table(table_name) + except Exception: + pass + try: + session_catalog.drop_table(pyiceberg_table_name) + except Exception: + pass + + @pytest.mark.integration @pytest.mark.parametrize("format_version", [1, 2]) def test_table_write_subset_of_schema(session_catalog: Catalog, arrow_table_with_null: pa.Table, format_version: int) -> None: diff --git a/tests/test_avro_sanitization.py b/tests/test_avro_sanitization.py new file mode 100644 index 0000000000..0ca23e3165 --- /dev/null +++ b/tests/test_avro_sanitization.py @@ -0,0 +1,269 @@ +# type: ignore +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + + +import tempfile +from typing import Any, Dict + +from fastavro import reader + +import pyiceberg.avro.file as avro +from pyiceberg.io.pyarrow import PyArrowFileIO +from pyiceberg.schema import ICEBERG_FIELD_NAME_PROP, Schema +from pyiceberg.typedef import Record +from pyiceberg.types import IntegerType, NestedField, StringType +from pyiceberg.utils.schema_conversion import AvroSchemaConversion, AvroType + + +class AvroTestRecord(Record): + """Test record class for Avro compatibility testing.""" + + @property + def valid_field(self) -> str: + return self._data[0] + + @property + def invalid_field(self) -> int: + return self._data[1] + + @property + def field_starting_with_digit(self) -> str: + return self._data[2] + + +def test_comprehensive_field_name_sanitization() -> None: + """Test comprehensive field name sanitization including edge cases and Java compatibility.""" + + test_cases = [ + # Java compatibility test cases + ("9x", "_9x"), + ("x_", "x_"), + ("a.b", "a_x2Eb"), + ("☃", "_x2603"), + ("a#b", "a_x23b"), + ("123", "_123"), + ("_", "_"), + ("a", "a"), + ("a1", "a1"), + ("1a", "_1a"), + ("a☃b", "a_x2603b"), + ("name#with#hash", "name_x23with_x23hash"), + ("123number", "_123number"), + ("😎", "_x1F60E"), + ("😎_with_text", "_x1F60E_with_text"), + ] + + for original_name, expected_sanitized in test_cases: + schema = Schema(NestedField(field_id=1, name=original_name, field_type=StringType(), required=True)) + + avro_schema: AvroType = AvroSchemaConversion().iceberg_to_avro(schema) + avro_dict: Dict[str, Any] = avro_schema + + assert avro_dict["fields"][0]["name"] == expected_sanitized + + if original_name != expected_sanitized: + assert avro_dict["fields"][0][ICEBERG_FIELD_NAME_PROP] == original_name + else: + assert ICEBERG_FIELD_NAME_PROP not in avro_dict["fields"][0] + + +def test_comprehensive_avro_compatibility() -> None: + """Test comprehensive Avro compatibility including complex schemas and file structure.""" + + # Create schema with various field name types + schema = Schema( + NestedField(field_id=1, name="valid_field", field_type=StringType(), required=True), + NestedField(field_id=2, name="invalid.field", field_type=IntegerType(), required=True), + NestedField(field_id=3, name="9x", field_type=StringType(), required=True), + NestedField(field_id=4, name="name#with#hash", field_type=StringType(), required=True), + NestedField(field_id=5, name="☃", field_type=IntegerType(), required=True), + NestedField(field_id=6, name="😎", field_type=IntegerType(), required=True), + ) + + test_records = [ + AvroTestRecord("hello", 42, "test", "hash_value", 100, 200), + AvroTestRecord("goodbye", 99, "example", "another_hash", 200, 300), + ] + + with tempfile.NamedTemporaryFile(suffix=".avro", delete=False) as tmp_file: + tmp_avro_file = tmp_file.name + + try: + with avro.AvroOutputFile[AvroTestRecord]( + output_file=PyArrowFileIO().new_output(tmp_avro_file), + file_schema=schema, + schema_name="test_schema", + metadata={"test": "metadata"}, + ) as output_file: + output_file.write_block(test_records) + + with open(tmp_avro_file, "rb") as fo: + # Test Avro file structure + magic = fo.read(4) + assert magic == b"Obj\x01" # Avro magic bytes + + import struct + + metadata_length = struct.unpack(">I", fo.read(4))[0] + assert metadata_length > 0 + + fo.seek(0) + avro_reader = reader(fo) + + avro_schema: AvroType = avro_reader.writer_schema + avro_dict: Dict[str, Any] = avro_schema + field_names = [field["name"] for field in avro_dict["fields"]] + + # Expected sanitized names (matching Java implementation) + expected_field_names = [ + "valid_field", + "invalid_x2Efield", + "_9x", + "name_x23with_x23hash", + "_x2603", + "_x1F60E", + ] + + assert field_names == expected_field_names + + # Verify iceberg-field-name properties + for field in avro_dict["fields"]: + field_dict: Dict[str, Any] = field + if field_dict["name"] == "invalid_x2Efield": + assert "iceberg-field-name" in field_dict + assert field_dict["iceberg-field-name"] == "invalid.field" + elif field_dict["name"] == "_9x": + assert "iceberg-field-name" in field_dict + assert field_dict["iceberg-field-name"] == "9x" + elif field_dict["name"] == "name_x23with_x23hash": + assert "iceberg-field-name" in field_dict + assert field_dict["iceberg-field-name"] == "name#with#hash" + elif field_dict["name"] == "_x2603": + assert "iceberg-field-name" in field_dict + assert field_dict["iceberg-field-name"] == "☃" + elif field_dict["name"] == "_x1F60E": + assert "iceberg-field-name" in field_dict + assert field_dict["iceberg-field-name"] == "😎" + else: + assert "iceberg-field-name" not in field_dict + + records = list(avro_reader) + assert len(records) == 2 + + # Verify data integrity + first_record = records[0] + assert first_record["valid_field"] == "hello" + assert first_record["invalid_x2Efield"] == 42 + assert first_record["_9x"] == "test" + assert first_record["name_x23with_x23hash"] == "hash_value" + assert first_record["_x2603"] == 100 + assert first_record["_x1F60E"] == 200 + + second_record = records[1] + assert second_record["valid_field"] == "goodbye" + assert second_record["invalid_x2Efield"] == 99 + assert second_record["_9x"] == "example" + assert second_record["name_x23with_x23hash"] == "another_hash" + assert second_record["_x2603"] == 200 + assert second_record["_x1F60E"] == 300 + + assert avro_reader.metadata.get("test") == "metadata" + + finally: + import os + + if os.path.exists(tmp_avro_file): + os.unlink(tmp_avro_file) + + +def test_emoji_field_name_sanitization() -> None: + """Test that emoji field names are properly sanitized according to Java implementation.""" + + schema = Schema( + NestedField(field_id=1, name="😎", field_type=IntegerType(), required=True), + NestedField(field_id=2, name="valid_field", field_type=StringType(), required=True), + NestedField(field_id=3, name="😎_with_text", field_type=StringType(), required=True), + ) + + avro_schema: AvroType = AvroSchemaConversion().iceberg_to_avro(schema, schema_name="emoji_test") + avro_dict: Dict[str, Any] = avro_schema + + field_names = [field["name"] for field in avro_dict["fields"]] + expected_field_names = [ + "_x1F60E", # 😎 becomes _x1F60E (Unicode 0x1F60E) + "valid_field", + "_x1F60E_with_text", + ] + + assert field_names == expected_field_names + + for field in avro_dict["fields"]: + field_dict: Dict[str, Any] = field + if field_dict["name"] == "_x1F60E": + assert field_dict["iceberg-field-name"] == "😎" + elif field_dict["name"] == "_x1F60E_with_text": + assert field_dict["iceberg-field-name"] == "😎_with_text" + else: + assert "iceberg-field-name" not in field_dict + + test_records = [ + AvroTestRecord(42, "hello", "world"), + ] + + with tempfile.NamedTemporaryFile(suffix=".avro", delete=False) as tmp_file: + tmp_avro_file = tmp_file.name + + try: + with avro.AvroOutputFile[AvroTestRecord]( + output_file=PyArrowFileIO().new_output(tmp_avro_file), + file_schema=schema, + schema_name="emoji_test", + ) as output_file: + output_file.write_block(test_records) + + with open(tmp_avro_file, "rb") as fo: + avro_reader = reader(fo) + + avro_schema_reader: AvroType = avro_reader.writer_schema + avro_dict_reader: Dict[str, Any] = avro_schema_reader + field_names_reader = [field["name"] for field in avro_dict_reader["fields"]] + + assert field_names_reader == expected_field_names + + for field in avro_dict_reader["fields"]: + field_dict_reader: Dict[str, Any] = field + if field_dict_reader["name"] == "_x1F60E": + assert field_dict_reader["iceberg-field-name"] == "😎" + elif field_dict_reader["name"] == "_x1F60E_with_text": + assert field_dict_reader["iceberg-field-name"] == "😎_with_text" + else: + assert "iceberg-field-name" not in field_dict_reader + + records = list(avro_reader) + assert len(records) == 1 + + first_record = records[0] + assert first_record["_x1F60E"] == 42 + assert first_record["valid_field"] == "hello" + assert first_record["_x1F60E_with_text"] == "world" + + finally: + import os + + if os.path.exists(tmp_avro_file): + os.unlink(tmp_avro_file) From 8042d822a34361bcb939a3a2ce3e7a4889235e96 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Thu, 7 Aug 2025 08:18:00 +0200 Subject: [PATCH 26/52] Convert `_get_column_projection_values` to use Field-IDs (#2293) # Rationale for this change This is a refactor of the `_get_column_projection_values` to rely on field-IDs rather than names. Field IDs will never change, while partitions and column names can be updated in a tables' lifetime. # Are these changes tested? # Are there any user-facing changes? --- pyiceberg/expressions/visitors.py | 19 +++--- pyiceberg/io/pyarrow.py | 65 +++++++------------ tests/conftest.py | 4 +- tests/expressions/test_visitors.py | 35 ++++++++-- .../test_writes/test_partitioned_writes.py | 4 +- tests/io/test_pyarrow.py | 26 +++++--- 6 files changed, 87 insertions(+), 66 deletions(-) diff --git a/pyiceberg/expressions/visitors.py b/pyiceberg/expressions/visitors.py index 99cbc0fb66..779f2b476f 100644 --- a/pyiceberg/expressions/visitors.py +++ b/pyiceberg/expressions/visitors.py @@ -861,7 +861,7 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]): Args: file_schema (Schema): The schema of the file. case_sensitive (bool): Whether to consider case when binding a reference to a field in a schema, defaults to True. - projected_field_values (Dict[str, Any]): Values for projected fields not present in the data file. + projected_field_values (Dict[int, Any]): Values for projected fields not present in the data file. Raises: TypeError: In the case of an UnboundPredicate. @@ -870,12 +870,12 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]): file_schema: Schema case_sensitive: bool - projected_field_values: Dict[str, Any] + projected_field_values: Dict[int, Any] - def __init__(self, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[str, Any] = EMPTY_DICT) -> None: + def __init__(self, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[int, Any] = EMPTY_DICT) -> None: self.file_schema = file_schema self.case_sensitive = case_sensitive - self.projected_field_values = projected_field_values or {} + self.projected_field_values = projected_field_values def visit_true(self) -> BooleanExpression: return AlwaysTrue() @@ -897,7 +897,8 @@ def visit_unbound_predicate(self, predicate: UnboundPredicate[L]) -> BooleanExpr def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpression: field = predicate.term.ref().field - file_column_name = self.file_schema.find_column_name(field.field_id) + field_id = field.field_id + file_column_name = self.file_schema.find_column_name(field_id) if file_column_name is None: # In the case of schema evolution or column projection, the field might not be present in the file schema. @@ -915,8 +916,10 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi # In the order described by the "Column Projection" section of the Iceberg spec: # https://iceberg.apache.org/spec/#column-projection # Evaluate column projection first if it exists - if projected_field_value := self.projected_field_values.get(field.name): - if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(projected_field_value)): + if field_id in self.projected_field_values: + if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)( + Record(self.projected_field_values[field_id]) + ): return AlwaysTrue() # Evaluate initial_default value @@ -937,7 +940,7 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi def translate_column_names( - expr: BooleanExpression, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[str, Any] = EMPTY_DICT + expr: BooleanExpression, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[int, Any] = EMPTY_DICT ) -> BooleanExpression: return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive, projected_field_values)) diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index e6992843ca..cee2ccac72 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -131,7 +131,6 @@ ) from pyiceberg.partitioning import PartitionField, PartitionFieldValue, PartitionKey, PartitionSpec, partition_record_value from pyiceberg.schema import ( - Accessor, PartnerAccessor, PreOrderSchemaVisitor, Schema, @@ -1402,41 +1401,23 @@ def _field_id(self, field: pa.Field) -> int: def _get_column_projection_values( file: DataFile, projected_schema: Schema, partition_spec: Optional[PartitionSpec], file_project_field_ids: Set[int] -) -> Tuple[bool, Dict[str, Any]]: +) -> Dict[int, Any]: """Apply Column Projection rules to File Schema.""" project_schema_diff = projected_schema.field_ids.difference(file_project_field_ids) - should_project_columns = len(project_schema_diff) > 0 - projected_missing_fields: Dict[str, Any] = {} + if len(project_schema_diff) == 0 or partition_spec is None: + return EMPTY_DICT - if not should_project_columns: - return False, {} - - partition_schema: StructType - accessors: Dict[int, Accessor] - - if partition_spec is not None: - partition_schema = partition_spec.partition_type(projected_schema) - accessors = build_position_accessors(partition_schema) - else: - return False, {} + partition_schema = partition_spec.partition_type(projected_schema) + accessors = build_position_accessors(partition_schema) + projected_missing_fields = {} for field_id in project_schema_diff: for partition_field in partition_spec.fields_by_source_id(field_id): if isinstance(partition_field.transform, IdentityTransform): - accessor = accessors.get(partition_field.field_id) - - if accessor is None: - continue + if partition_value := accessors[partition_field.field_id].get(file.partition): + projected_missing_fields[field_id] = partition_value - # The partition field may not exist in the partition record of the data file. - # This can happen when new partition fields are introduced after the file was written. - try: - if partition_value := accessor.get(file.partition): - projected_missing_fields[partition_field.name] = partition_value - except IndexError: - continue - - return True, projected_missing_fields + return projected_missing_fields def _task_to_record_batches( @@ -1460,9 +1441,8 @@ def _task_to_record_batches( # the table format version. file_schema = pyarrow_to_schema(physical_schema, name_mapping, downcast_ns_timestamp_to_us=True) - # Apply column projection rules - # https://iceberg.apache.org/spec/#column-projection - should_project_columns, projected_missing_fields = _get_column_projection_values( + # Apply column projection rules: https://iceberg.apache.org/spec/#column-projection + projected_missing_fields = _get_column_projection_values( task.file, projected_schema, partition_spec, file_schema.field_ids ) @@ -1517,16 +1497,9 @@ def _task_to_record_batches( file_project_schema, current_batch, downcast_ns_timestamp_to_us=True, + projected_missing_fields=projected_missing_fields, ) - # Inject projected column values if available - if should_project_columns: - for name, value in projected_missing_fields.items(): - index = result_batch.schema.get_field_index(name) - if index != -1: - arr = pa.repeat(value, result_batch.num_rows) - result_batch = result_batch.set_column(index, name, arr) - yield result_batch @@ -1696,7 +1669,7 @@ def _record_batches_from_scan_tasks_and_deletes( deletes_per_file.get(task.file.file_path), self._case_sensitive, self._table_metadata.name_mapping(), - self._table_metadata.spec(), + self._table_metadata.specs().get(task.file.spec_id), ) for batch in batches: if self._limit is not None: @@ -1714,12 +1687,15 @@ def _to_requested_schema( batch: pa.RecordBatch, downcast_ns_timestamp_to_us: bool = False, include_field_ids: bool = False, + projected_missing_fields: Dict[int, Any] = EMPTY_DICT, ) -> pa.RecordBatch: # We could reuse some of these visitors struct_array = visit_with_partner( requested_schema, batch, - ArrowProjectionVisitor(file_schema, downcast_ns_timestamp_to_us, include_field_ids), + ArrowProjectionVisitor( + file_schema, downcast_ns_timestamp_to_us, include_field_ids, projected_missing_fields=projected_missing_fields + ), ArrowAccessor(file_schema), ) return pa.RecordBatch.from_struct_array(struct_array) @@ -1730,6 +1706,7 @@ class ArrowProjectionVisitor(SchemaWithPartnerVisitor[pa.Array, Optional[pa.Arra _include_field_ids: bool _downcast_ns_timestamp_to_us: bool _use_large_types: Optional[bool] + _projected_missing_fields: Dict[int, Any] def __init__( self, @@ -1737,11 +1714,13 @@ def __init__( downcast_ns_timestamp_to_us: bool = False, include_field_ids: bool = False, use_large_types: Optional[bool] = None, + projected_missing_fields: Dict[int, Any] = EMPTY_DICT, ) -> None: self._file_schema = file_schema self._include_field_ids = include_field_ids self._downcast_ns_timestamp_to_us = downcast_ns_timestamp_to_us self._use_large_types = use_large_types + self._projected_missing_fields = projected_missing_fields if use_large_types is not None: deprecation_message( @@ -1821,7 +1800,9 @@ def struct( elif field.optional or field.initial_default is not None: # When an optional field is added, or when a required field with a non-null initial default is added arrow_type = schema_to_pyarrow(field.field_type, include_field_ids=self._include_field_ids) - if field.initial_default is None: + if projected_value := self._projected_missing_fields.get(field.field_id): + field_arrays.append(pa.repeat(pa.scalar(projected_value, type=arrow_type), len(struct_array))) + elif field.initial_default is None: field_arrays.append(pa.nulls(len(struct_array), type=arrow_type)) else: field_arrays.append(pa.repeat(field.initial_default, len(struct_array))) diff --git a/tests/conftest.py b/tests/conftest.py index c01ccc979c..16c9e06dac 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2375,8 +2375,10 @@ def data_file(table_schema_simple: Schema, tmp_path: str) -> str: @pytest.fixture def example_task(data_file: str) -> FileScanTask: + datafile = DataFile.from_args(file_path=data_file, file_format=FileFormat.PARQUET, file_size_in_bytes=1925) + datafile.spec_id = 0 return FileScanTask( - data_file=DataFile.from_args(file_path=data_file, file_format=FileFormat.PARQUET, file_size_in_bytes=1925), + data_file=datafile, ) diff --git a/tests/expressions/test_visitors.py b/tests/expressions/test_visitors.py index f02aadfe44..997cc7f7d7 100644 --- a/tests/expressions/test_visitors.py +++ b/tests/expressions/test_visitors.py @@ -1730,6 +1730,33 @@ def test_translate_column_names_missing_column_match_null() -> None: assert translated_expr == AlwaysTrue() +def test_translate_column_names_missing_column_match_explicit_null() -> None: + """Test translate_column_names when missing column matches null.""" + # Original schema + original_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False), + schema_id=1, + ) + + # Create bound expression for the missing column + unbound_expr = IsNull("missing_col") + bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) + + # File schema only has the existing column (field_id=1), missing field_id=2 + file_schema = Schema( + NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), + schema_id=1, + ) + + # Translate column names + translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True, projected_field_values={2: None}) + + # Should evaluate to AlwaysTrue because the missing column is treated as null + # missing_col's default initial_default (None) satisfies the IsNull predicate + assert translated_expr == AlwaysTrue() + + def test_translate_column_names_missing_column_with_initial_default() -> None: """Test translate_column_names when missing column's initial_default matches expression.""" # Original schema @@ -1801,7 +1828,7 @@ def test_translate_column_names_missing_column_with_projected_field_matches() -> ) # Projected column that is missing in the file schema - projected_field_values = {"missing_col": 42} + projected_field_values = {2: 42} # Translate column names translated_expr = translate_column_names( @@ -1833,7 +1860,7 @@ def test_translate_column_names_missing_column_with_projected_field_mismatch() - ) # Projected column that is missing in the file schema - projected_field_values = {"missing_col": 1} + projected_field_values = {2: 1} # Translate column names translated_expr = translate_column_names( @@ -1864,7 +1891,7 @@ def test_translate_column_names_missing_column_projected_field_fallbacks_to_init ) # Projected field value that differs from both the expression literal and initial_default - projected_field_values = {"missing_col": 10} # This doesn't match expression literal (42) + projected_field_values = {2: 10} # This doesn't match expression literal (42) # Translate column names translated_expr = translate_column_names( @@ -1895,7 +1922,7 @@ def test_translate_column_names_missing_column_projected_field_matches_initial_d ) # Projected field value that matches the expression literal - projected_field_values = {"missing_col": 10} # This doesn't match expression literal (42) + projected_field_values = {2: 10} # This doesn't match expression literal (42) # Translate column names translated_expr = translate_column_names( diff --git a/tests/integration/test_writes/test_partitioned_writes.py b/tests/integration/test_writes/test_partitioned_writes.py index b2f6ad410d..e9698067c1 100644 --- a/tests/integration/test_writes/test_partitioned_writes.py +++ b/tests/integration/test_writes/test_partitioned_writes.py @@ -711,8 +711,10 @@ def test_dynamic_partition_overwrite_evolve_partition(spark: SparkSession, sessi ) identifier = f"default.partitioned_{format_version}_test_dynamic_partition_overwrite_evolve_partition" - with pytest.raises(NoSuchTableError): + try: session_catalog.drop_table(identifier) + except NoSuchTableError: + pass tbl = session_catalog.create_table( identifier=identifier, diff --git a/tests/io/test_pyarrow.py b/tests/io/test_pyarrow.py index ac16ef18f6..f5c3082edc 100644 --- a/tests/io/test_pyarrow.py +++ b/tests/io/test_pyarrow.py @@ -970,6 +970,10 @@ def file_map(schema_map: Schema, tmpdir: str) -> str: def project( schema: Schema, files: List[str], expr: Optional[BooleanExpression] = None, table_schema: Optional[Schema] = None ) -> pa.Table: + def _set_spec_id(datafile: DataFile) -> DataFile: + datafile.spec_id = 0 + return datafile + return ArrowScan( table_metadata=TableMetadataV2( location="file://a/b/", @@ -985,13 +989,15 @@ def project( ).to_table( tasks=[ FileScanTask( - DataFile.from_args( - content=DataFileContent.DATA, - file_path=file, - file_format=FileFormat.PARQUET, - partition={}, - record_count=3, - file_size_in_bytes=3, + _set_spec_id( + DataFile.from_args( + content=DataFileContent.DATA, + file_path=file, + file_format=FileFormat.PARQUET, + partition={}, + record_count=3, + file_size_in_bytes=3, + ) ) ) for file in files @@ -1189,7 +1195,7 @@ def test_identity_transform_column_projection(tmp_path: str, catalog: InMemoryCa with transaction.update_snapshot().overwrite() as update: update.append_data_file(unpartitioned_file) - schema = pa.schema([("other_field", pa.string()), ("partition_id", pa.int64())]) + schema = pa.schema([("other_field", pa.string()), ("partition_id", pa.int32())]) assert table.scan().to_arrow() == pa.table( { "other_field": ["foo", "bar", "baz"], @@ -1264,8 +1270,8 @@ def test_identity_transform_columns_projection(tmp_path: str, catalog: InMemoryC str(table.scan().to_arrow()) == """pyarrow.Table field_1: string -field_2: int64 -field_3: int64 +field_2: int32 +field_3: int32 ---- field_1: [["foo"]] field_2: [[2]] From 00222a42d54099897edb29e681f0f310c6cca654 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Thu, 7 Aug 2025 19:42:36 +0200 Subject: [PATCH 27/52] Pass in type explicitly for `initial-default` (#2296) # Rationale for this change I noticed we just passed in the value, without setting the type explicitly. By default, PyArrow will for example upscale 1 to an int64 field, while the column is of type int32 in the table. # Are these changes tested? # Are there any user-facing changes? --- pyiceberg/io/pyarrow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index cee2ccac72..2fdee17441 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -1805,7 +1805,7 @@ def struct( elif field.initial_default is None: field_arrays.append(pa.nulls(len(struct_array), type=arrow_type)) else: - field_arrays.append(pa.repeat(field.initial_default, len(struct_array))) + field_arrays.append(pa.repeat(pa.scalar(field.initial_default, type=arrow_type), len(struct_array))) fields.append(self._construct_field(field, arrow_type)) else: raise ResolveError(f"Field is required, and could not be found in the file: {field}") From b67ef2eaccb92e27772d0c10efa8a526708b1e9d Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Thu, 7 Aug 2025 20:36:15 +0200 Subject: [PATCH 28/52] Bump Poetry to 2.1.4 (#2297) # Rationale for this change # Are these changes tested? # Are there any user-facing changes? --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 1f67b6ae52..6bc55e94aa 100644 --- a/Makefile +++ b/Makefile @@ -28,7 +28,7 @@ else TEST_RUNNER = poetry run endif -POETRY_VERSION = 2.1.3 +POETRY_VERSION = 2.1.4 # ============ # Help Section From 5902602a275ca9c1a0acd3e70d6af07a26970db5 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Thu, 7 Aug 2025 20:47:03 +0200 Subject: [PATCH 29/52] Enable add tests migrated Hive tables (#2295) # Rationale for this change # Are these changes tested? # Are there any user-facing changes? --------- Co-authored-by: Kevin Liu --- pyiceberg/expressions/visitors.py | 16 +++---- tests/expressions/test_visitors.py | 58 ++++-------------------- tests/integration/test_hive_migration.py | 11 ++--- 3 files changed, 18 insertions(+), 67 deletions(-) diff --git a/pyiceberg/expressions/visitors.py b/pyiceberg/expressions/visitors.py index 779f2b476f..a6268c0d48 100644 --- a/pyiceberg/expressions/visitors.py +++ b/pyiceberg/expressions/visitors.py @@ -915,17 +915,13 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi # In the order described by the "Column Projection" section of the Iceberg spec: # https://iceberg.apache.org/spec/#column-projection - # Evaluate column projection first if it exists - if field_id in self.projected_field_values: - if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)( - Record(self.projected_field_values[field_id]) - ): - return AlwaysTrue() - - # Evaluate initial_default value + # Evaluate column projection first if it exists, otherwise default to the initial-default-value + field_value = ( + self.projected_field_values[field_id] if field.field_id in self.projected_field_values else field.initial_default + ) return ( AlwaysTrue() - if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(field.initial_default)) + if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(field_value)) else AlwaysFalse() ) @@ -940,7 +936,7 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi def translate_column_names( - expr: BooleanExpression, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[int, Any] = EMPTY_DICT + expr: BooleanExpression, file_schema: Schema, case_sensitive: bool = True, projected_field_values: Dict[int, Any] = EMPTY_DICT ) -> BooleanExpression: return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive, projected_field_values)) diff --git a/tests/expressions/test_visitors.py b/tests/expressions/test_visitors.py index 997cc7f7d7..d0b6ab5ab4 100644 --- a/tests/expressions/test_visitors.py +++ b/tests/expressions/test_visitors.py @@ -1750,7 +1750,7 @@ def test_translate_column_names_missing_column_match_explicit_null() -> None: ) # Translate column names - translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True, projected_field_values={2: None}) + translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: None}) # Should evaluate to AlwaysTrue because the missing column is treated as null # missing_col's default initial_default (None) satisfies the IsNull predicate @@ -1828,12 +1828,7 @@ def test_translate_column_names_missing_column_with_projected_field_matches() -> ) # Projected column that is missing in the file schema - projected_field_values = {2: 42} - - # Translate column names - translated_expr = translate_column_names( - bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values - ) + translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: 42}) # Should evaluate to AlwaysTrue since projected field value matches the expression literal # even though the field is missing in the file schema @@ -1860,18 +1855,13 @@ def test_translate_column_names_missing_column_with_projected_field_mismatch() - ) # Projected column that is missing in the file schema - projected_field_values = {2: 1} - - # Translate column names - translated_expr = translate_column_names( - bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values - ) + translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: 1}) # Should evaluate to AlwaysFalse since projected field value does not match the expression literal assert translated_expr == AlwaysFalse() -def test_translate_column_names_missing_column_projected_field_fallbacks_to_initial_default() -> None: +def test_translate_column_names_missing_column_projected_field_ignores_initial_default() -> None: """Test translate_column_names when projected field value doesn't match but initial_default does.""" # Original schema with a field that has an initial_default original_schema = Schema( @@ -1891,43 +1881,11 @@ def test_translate_column_names_missing_column_projected_field_fallbacks_to_init ) # Projected field value that differs from both the expression literal and initial_default - projected_field_values = {2: 10} # This doesn't match expression literal (42) - - # Translate column names - translated_expr = translate_column_names( - bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values - ) - - # Should evaluate to AlwaysTrue since projected field value doesn't match but initial_default does - assert translated_expr == AlwaysTrue() - - -def test_translate_column_names_missing_column_projected_field_matches_initial_default_mismatch() -> None: - """Test translate_column_names when both projected field value and initial_default doesn't match.""" - # Original schema with a field that has an initial_default that doesn't match the expression - original_schema = Schema( - NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), - NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=10), - schema_id=1, - ) - - # Create bound expression for the missing column - unbound_expr = EqualTo("missing_col", 42) - bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True)) - - # File schema only has the existing column (field_id=1), missing field_id=2 - file_schema = Schema( - NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False), - schema_id=1, - ) - - # Projected field value that matches the expression literal - projected_field_values = {2: 10} # This doesn't match expression literal (42) - - # Translate column names translated_expr = translate_column_names( - bound_expr, file_schema, case_sensitive=True, projected_field_values=projected_field_values + bound_expr, + file_schema, + projected_field_values={2: 10}, # This doesn't match expression literal (42) ) - # Should evaluate to AlwaysFalse since both projected field value and initial_default does not match + # Should evaluate to AlwaysFalse since projected field value doesn't match the expression literal assert translated_expr == AlwaysFalse() diff --git a/tests/integration/test_hive_migration.py b/tests/integration/test_hive_migration.py index 060450731e..51386d56c4 100644 --- a/tests/integration/test_hive_migration.py +++ b/tests/integration/test_hive_migration.py @@ -15,6 +15,7 @@ # specific language governing permissions and limitations # under the License. import time +from datetime import date import pytest from pyspark.sql import SparkSession @@ -75,12 +76,8 @@ def test_migrate_table( tbl = session_catalog_hive.load_table(dst_table_identifier) assert tbl.schema().column_names == ["number", "dt"] - # TODO: Returns the primitive type (int), rather than the logical type - # assert set(tbl.scan().to_arrow().column(1).combine_chunks().tolist()) == {'2022-01-01', '2023-01-01'} - + assert set(tbl.scan().to_arrow().column(1).combine_chunks().tolist()) == {date(2023, 1, 1), date(2022, 1, 1)} assert tbl.scan(row_filter="number > 3").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6] - assert tbl.scan(row_filter="dt == '2023-01-01'").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6] - - # TODO: Issue with filtering the projected column - # assert tbl.scan(row_filter="dt == '2022-01-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3] + assert tbl.scan(row_filter="dt == '2022-01-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3] + assert tbl.scan(row_filter="dt < '2022-02-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3] From b435c1b501e702fab43781186ba9e0c8313a6e68 Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Thu, 7 Aug 2025 21:19:47 +0200 Subject: [PATCH 30/52] Minor cleanup (#2298) # Rationale for this change Missed this in another PR # Are these changes tested? # Are there any user-facing changes? --- pyiceberg/io/pyarrow.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index 2fdee17441..cde6d94709 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -1492,7 +1492,7 @@ def _task_to_record_batches( current_batch = table.combine_chunks().to_batches()[0] - result_batch = _to_requested_schema( + yield _to_requested_schema( projected_schema, file_project_schema, current_batch, @@ -1500,8 +1500,6 @@ def _task_to_record_batches( projected_missing_fields=projected_missing_fields, ) - yield result_batch - def _read_all_delete_files(io: FileIO, tasks: Iterable[FileScanTask]) -> Dict[str, List[ChunkedArray]]: deletes_per_file: Dict[str, List[ChunkedArray]] = {} From dab25362831c9a2d6563b041b38f9698dc320d33 Mon Sep 17 00:00:00 2001 From: Alex Stephen <1325798+rambleraptor@users.noreply.github.com> Date: Thu, 7 Aug 2025 14:01:57 -0700 Subject: [PATCH 31/52] Update `__repr__` for `initial-default` and `write-default` (#2287) Closes #1853 This adds a new repr function that ensures that `initial-default` and `write-default` will not appear if they are None. Unfortunately, this functionality isn't baked into Pydantic. # Rationale for this change __repr__ changes may be breaking. # Are these changes tested? Tests included. # Are there any user-facing changes? --- pyiceberg/types.py | 19 +++++++++++++++++-- tests/test_types.py | 15 +++++++++++++++ 2 files changed, 32 insertions(+), 2 deletions(-) diff --git a/pyiceberg/types.py b/pyiceberg/types.py index 5822597952..6872663f84 100644 --- a/pyiceberg/types.py +++ b/pyiceberg/types.py @@ -340,8 +340,8 @@ class NestedField(IcebergType): field_type: SerializeAsAny[IcebergType] = Field(alias="type") required: bool = Field(default=False) doc: Optional[str] = Field(default=None, repr=False) - initial_default: Optional[DefaultValue] = Field(alias="initial-default", default=None, repr=False) # type: ignore - write_default: Optional[DefaultValue] = Field(alias="write-default", default=None, repr=False) # type: ignore + initial_default: Optional[DefaultValue] = Field(alias="initial-default", default=None, repr=True) # type: ignore + write_default: Optional[DefaultValue] = Field(alias="write-default", default=None, repr=True) # type: ignore @field_validator("field_type", mode="before") def convert_field_type(cls, v: Any) -> IcebergType: @@ -401,6 +401,21 @@ def __str__(self) -> str: req = "required" if self.required else "optional" return f"{self.field_id}: {self.name}: {req} {self.field_type}{doc}" + def __repr__(self) -> str: + """Return the string representation of the NestedField class.""" + parts = [ + f"field_id={self.field_id}", + f"name={self.name!r}", + f"field_type={self.field_type!r}", + f"required={self.required}", + ] + if self.initial_default is not None: + parts.append(f"initial_default={self.initial_default!r}") + if self.write_default is not None: + parts.append(f"write_default={self.write_default!r}") + + return f"NestedField({', '.join(parts)})" + def __getnewargs__(self) -> Tuple[int, str, IcebergType, bool, Optional[str]]: """Pickle the NestedField class.""" return (self.field_id, self.name, self.field_type, self.required, self.doc) diff --git a/tests/test_types.py b/tests/test_types.py index 2527f0e822..18eb909d09 100644 --- a/tests/test_types.py +++ b/tests/test_types.py @@ -525,6 +525,21 @@ def test_repr_decimal() -> None: assert repr(DecimalType(19, 25)) == "DecimalType(precision=19, scale=25)" +def test_repr_nested_field_default_nones_should_not_appear() -> None: + assert ( + repr(NestedField(1, "required_field", StringType(), required=False, initial_default=None, write_default=None)) + == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False)" + ) + assert ( + repr(NestedField(1, "required_field", StringType(), required=False, initial_default="hello", write_default=None)) + == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False, initial_default='hello')" + ) + assert ( + repr(NestedField(1, "required_field", StringType(), required=False, initial_default="hello", write_default="bye")) + == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False, initial_default='hello', write_default='bye')" + ) + + def test_serialization_nestedfield() -> None: expected = '{"id":1,"name":"required_field","type":"string","required":true,"doc":"this is a doc"}' actual = NestedField(1, "required_field", StringType(), True, "this is a doc").model_dump_json() From 24b12ddd8fdab4a62650786a2c3cdd56a53f8719 Mon Sep 17 00:00:00 2001 From: Alex Stephen <1325798+rambleraptor@users.noreply.github.com> Date: Thu, 7 Aug 2025 14:06:03 -0700 Subject: [PATCH 32/52] Support reading nanoseconds from PyArrow (#2294) Closes #2270 Related to #1045 # Rationale for this change This allows us to read nanosecond information from pyarrow. Right now, we always downcast to microseconds or throw an error. By passing through the format-version, we can grab nanosecond precision *just for v3 tables* # Are these changes tested? Included a test. I can't do a test involving writing since we don't support v3 writing yet (there's a PR out for that) # Are there any user-facing changes? --------- Co-authored-by: Fokko Driesprong --- pyiceberg/catalog/__init__.py | 15 ++++- pyiceberg/catalog/rest/__init__.py | 6 +- pyiceberg/io/pyarrow.py | 60 ++++++++++++++++---- pyiceberg/table/__init__.py | 22 +++++-- tests/conftest.py | 22 +++++++ tests/integration/test_writes/test_writes.py | 15 +++++ 6 files changed, 119 insertions(+), 21 deletions(-) diff --git a/pyiceberg/catalog/__init__.py b/pyiceberg/catalog/__init__.py index 4da116434e..1607541d0b 100644 --- a/pyiceberg/catalog/__init__.py +++ b/pyiceberg/catalog/__init__.py @@ -70,6 +70,7 @@ Identifier, Properties, RecursiveDict, + TableVersion, ) from pyiceberg.utils.config import Config, merge_config from pyiceberg.utils.properties import property_as_bool @@ -743,7 +744,9 @@ def _load_file_io(self, properties: Properties = EMPTY_DICT, location: Optional[ return load_file_io({**self.properties, **properties}, location) @staticmethod - def _convert_schema_if_needed(schema: Union[Schema, "pa.Schema"]) -> Schema: + def _convert_schema_if_needed( + schema: Union[Schema, "pa.Schema"], format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION + ) -> Schema: if isinstance(schema, Schema): return schema try: @@ -754,7 +757,10 @@ def _convert_schema_if_needed(schema: Union[Schema, "pa.Schema"]) -> Schema: downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False if isinstance(schema, pa.Schema): schema: Schema = visit_pyarrow( # type: ignore - schema, _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us) + schema, + _ConvertToIcebergWithoutIDs( + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version + ), ) return schema except ModuleNotFoundError: @@ -847,7 +853,10 @@ def _create_staged_table( Returns: StagedTable: the created staged table instance. """ - schema: Schema = self._convert_schema_if_needed(schema) # type: ignore + schema: Schema = self._convert_schema_if_needed( # type: ignore + schema, + int(properties.get(TableProperties.FORMAT_VERSION, TableProperties.DEFAULT_FORMAT_VERSION)), # type: ignore + ) database_name, table_name = self.identifier_to_database_and_table(identifier) diff --git a/pyiceberg/catalog/rest/__init__.py b/pyiceberg/catalog/rest/__init__.py index b39af9fc92..c43a64f3cc 100644 --- a/pyiceberg/catalog/rest/__init__.py +++ b/pyiceberg/catalog/rest/__init__.py @@ -64,6 +64,7 @@ StagedTable, Table, TableIdentifier, + TableProperties, ) from pyiceberg.table.metadata import TableMetadata from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder, assign_fresh_sort_order_ids @@ -498,7 +499,10 @@ def _create_table( properties: Properties = EMPTY_DICT, stage_create: bool = False, ) -> TableResponse: - iceberg_schema = self._convert_schema_if_needed(schema) + iceberg_schema = self._convert_schema_if_needed( + schema, + int(properties.get(TableProperties.FORMAT_VERSION, TableProperties.DEFAULT_FORMAT_VERSION)), # type: ignore + ) fresh_schema = assign_fresh_schema_ids(iceberg_schema) fresh_partition_spec = assign_fresh_partition_spec_ids(partition_spec, iceberg_schema, fresh_schema) fresh_sort_order = assign_fresh_sort_order_ids(sort_order, iceberg_schema, fresh_schema) diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index cde6d94709..ab85893ab4 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -145,12 +145,13 @@ visit, visit_with_partner, ) +from pyiceberg.table import TableProperties from pyiceberg.table.locations import load_location_provider from pyiceberg.table.metadata import TableMetadata from pyiceberg.table.name_mapping import NameMapping, apply_name_mapping from pyiceberg.table.puffin import PuffinFile from pyiceberg.transforms import IdentityTransform, TruncateTransform -from pyiceberg.typedef import EMPTY_DICT, Properties, Record +from pyiceberg.typedef import EMPTY_DICT, Properties, Record, TableVersion from pyiceberg.types import ( BinaryType, BooleanType, @@ -1017,13 +1018,20 @@ def _combine_positional_deletes(positional_deletes: List[pa.ChunkedArray], start def pyarrow_to_schema( - schema: pa.Schema, name_mapping: Optional[NameMapping] = None, downcast_ns_timestamp_to_us: bool = False + schema: pa.Schema, + name_mapping: Optional[NameMapping] = None, + downcast_ns_timestamp_to_us: bool = False, + format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION, ) -> Schema: has_ids = visit_pyarrow(schema, _HasIds()) if has_ids: - return visit_pyarrow(schema, _ConvertToIceberg(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)) + return visit_pyarrow( + schema, _ConvertToIceberg(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version) + ) elif name_mapping is not None: - schema_without_ids = _pyarrow_to_schema_without_ids(schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us) + schema_without_ids = _pyarrow_to_schema_without_ids( + schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version + ) return apply_name_mapping(schema_without_ids, name_mapping) else: raise ValueError( @@ -1031,8 +1039,15 @@ def pyarrow_to_schema( ) -def _pyarrow_to_schema_without_ids(schema: pa.Schema, downcast_ns_timestamp_to_us: bool = False) -> Schema: - return visit_pyarrow(schema, _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)) +def _pyarrow_to_schema_without_ids( + schema: pa.Schema, + downcast_ns_timestamp_to_us: bool = False, + format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION, +) -> Schema: + return visit_pyarrow( + schema, + _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version), + ) def _pyarrow_schema_ensure_large_types(schema: pa.Schema) -> pa.Schema: @@ -1214,9 +1229,12 @@ class _ConvertToIceberg(PyArrowSchemaVisitor[Union[IcebergType, Schema]]): _field_names: List[str] - def __init__(self, downcast_ns_timestamp_to_us: bool = False) -> None: + def __init__( + self, downcast_ns_timestamp_to_us: bool = False, format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION + ) -> None: # noqa: F821 self._field_names = [] self._downcast_ns_timestamp_to_us = downcast_ns_timestamp_to_us + self._format_version = format_version def _field_id(self, field: pa.Field) -> int: if (field_id := _get_field_id(field)) is not None: @@ -1287,6 +1305,11 @@ def primitive(self, primitive: pa.DataType) -> PrimitiveType: elif primitive.unit == "ns": if self._downcast_ns_timestamp_to_us: logger.warning("Iceberg does not yet support 'ns' timestamp precision. Downcasting to 'us'.") + elif self._format_version >= 3: + if primitive.tz in UTC_ALIASES: + return TimestamptzNanoType() + else: + return TimestampNanoType() else: raise TypeError( "Iceberg does not yet support 'ns' timestamp precision. Use 'downcast-ns-timestamp-to-us-on-write' configuration property to automatically downcast 'ns' to 'us' on write.", @@ -2519,7 +2542,10 @@ def bin_pack_arrow_table(tbl: pa.Table, target_file_size: int) -> Iterator[List[ def _check_pyarrow_schema_compatible( - requested_schema: Schema, provided_schema: pa.Schema, downcast_ns_timestamp_to_us: bool = False + requested_schema: Schema, + provided_schema: pa.Schema, + downcast_ns_timestamp_to_us: bool = False, + format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION, ) -> None: """ Check if the `requested_schema` is compatible with `provided_schema`. @@ -2532,10 +2558,15 @@ def _check_pyarrow_schema_compatible( name_mapping = requested_schema.name_mapping try: provided_schema = pyarrow_to_schema( - provided_schema, name_mapping=name_mapping, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us + provided_schema, + name_mapping=name_mapping, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=format_version, ) except ValueError as e: - provided_schema = _pyarrow_to_schema_without_ids(provided_schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us) + provided_schema = _pyarrow_to_schema_without_ids( + provided_schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version + ) additional_names = set(provided_schema._name_to_id.keys()) - set(requested_schema._name_to_id.keys()) raise ValueError( f"PyArrow table contains more columns: {', '.join(sorted(additional_names))}. Update the schema first (hint, use union_by_name)." @@ -2561,7 +2592,7 @@ def parquet_file_to_data_file(io: FileIO, table_metadata: TableMetadata, file_pa ) schema = table_metadata.schema() - _check_pyarrow_schema_compatible(schema, arrow_schema) + _check_pyarrow_schema_compatible(schema, arrow_schema, format_version=table_metadata.format_version) statistics = data_file_statistics_from_parquet_metadata( parquet_metadata=parquet_metadata, @@ -2652,7 +2683,12 @@ def _dataframe_to_data_files( ) name_mapping = table_metadata.schema().name_mapping downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False - task_schema = pyarrow_to_schema(df.schema, name_mapping=name_mapping, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us) + task_schema = pyarrow_to_schema( + df.schema, + name_mapping=name_mapping, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=table_metadata.format_version, + ) if table_metadata.spec().is_unpartitioned(): yield from write_file( diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py index 30b06fcb0b..7d5cc10de5 100644 --- a/pyiceberg/table/__init__.py +++ b/pyiceberg/table/__init__.py @@ -219,7 +219,7 @@ class TableProperties: DEFAULT_NAME_MAPPING = "schema.name-mapping.default" FORMAT_VERSION = "format-version" - DEFAULT_FORMAT_VERSION = 2 + DEFAULT_FORMAT_VERSION: TableVersion = 2 MANIFEST_TARGET_SIZE_BYTES = "commit.manifest.target-size-bytes" MANIFEST_TARGET_SIZE_BYTES_DEFAULT = 8 * 1024 * 1024 # 8 MB @@ -477,7 +477,10 @@ def append(self, df: pa.Table, snapshot_properties: Dict[str, str] = EMPTY_DICT, ) downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False _check_pyarrow_schema_compatible( - self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us + self.table_metadata.schema(), + provided_schema=df.schema, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=self.table_metadata.format_version, ) with self._append_snapshot_producer(snapshot_properties, branch=branch) as append_files: @@ -527,7 +530,10 @@ def dynamic_partition_overwrite( downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False _check_pyarrow_schema_compatible( - self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us + self.table_metadata.schema(), + provided_schema=df.schema, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=self.table_metadata.format_version, ) # If dataframe does not have data, there is no need to overwrite @@ -593,7 +599,10 @@ def overwrite( ) downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False _check_pyarrow_schema_compatible( - self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us + self.table_metadata.schema(), + provided_schema=df.schema, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=self.table_metadata.format_version, ) if overwrite_filter != AlwaysFalse(): @@ -789,7 +798,10 @@ def upsert( downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False _check_pyarrow_schema_compatible( - self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us + self.table_metadata.schema(), + provided_schema=df.schema, + downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, + format_version=self.table_metadata.format_version, ) # get list of rows that exist so we don't have to load the entire target table diff --git a/tests/conftest.py b/tests/conftest.py index 16c9e06dac..e036a2fa54 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2811,6 +2811,28 @@ def arrow_table_schema_with_all_microseconds_timestamp_precisions() -> "pa.Schem ) +@pytest.fixture(scope="session") +def arrow_table_schema_with_nanoseconds_timestamp_precisions() -> "pa.Schema": + """Pyarrow Schema with all microseconds timestamp.""" + import pyarrow as pa + + return pa.schema( + [ + ("timestamp_s", pa.timestamp(unit="us")), + ("timestamptz_s", pa.timestamp(unit="us", tz="UTC")), + ("timestamp_ms", pa.timestamp(unit="us")), + ("timestamptz_ms", pa.timestamp(unit="us", tz="UTC")), + ("timestamp_us", pa.timestamp(unit="us")), + ("timestamptz_us", pa.timestamp(unit="us", tz="UTC")), + ("timestamp_ns", pa.timestamp(unit="us")), + ("timestamptz_ns", pa.timestamp(unit="ns", tz="UTC")), + ("timestamptz_us_etc_utc", pa.timestamp(unit="us", tz="UTC")), + ("timestamptz_ns_z", pa.timestamp(unit="ns", tz="UTC")), + ("timestamptz_s_0000", pa.timestamp(unit="us", tz="UTC")), + ] + ) + + @pytest.fixture(scope="session") def table_schema_with_all_microseconds_timestamp_precision() -> Schema: """Iceberg table Schema with only date, timestamp and timestamptz values.""" diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py index 173ddf782b..38aea1e255 100644 --- a/tests/integration/test_writes/test_writes.py +++ b/tests/integration/test_writes/test_writes.py @@ -2246,3 +2246,18 @@ def test_branch_py_write_spark_read(session_catalog: Catalog, spark: SparkSessio ) assert main_df.count() == 3 assert branch_df.count() == 2 + + +@pytest.mark.integration +def test_nanosecond_support_on_catalog(session_catalog: Catalog) -> None: + identifier = "default.test_nanosecond_support_on_catalog" + # Create a pyarrow table with a nanosecond timestamp column + table = pa.Table.from_arrays( + [ + pa.array([datetime.now()], type=pa.timestamp("ns")), + pa.array([datetime.now()], type=pa.timestamp("ns", tz="America/New_York")), + ], + names=["timestamp_ns", "timestamptz_ns"], + ) + + _create_table(session_catalog, identifier, {"format-version": "3"}, schema=table.schema) From 0d463b9faef5236cc55f849611acddb5a8187713 Mon Sep 17 00:00:00 2001 From: tbirch-cyber <86316862+tbirch-cyber@users.noreply.github.com> Date: Sun, 10 Aug 2025 16:53:07 -0400 Subject: [PATCH 33/52] added support for ADLS_CREDENTIAL (#2299) Reference: https://github.com/fsspec/adlfs/blob/main/adlfs/spec.py#L176 --- pyiceberg/io/__init__.py | 1 + pyiceberg/io/fsspec.py | 2 ++ 2 files changed, 3 insertions(+) diff --git a/pyiceberg/io/__init__.py b/pyiceberg/io/__init__.py index 0b03a7dd4f..f89de18f12 100644 --- a/pyiceberg/io/__init__.py +++ b/pyiceberg/io/__init__.py @@ -74,6 +74,7 @@ HDFS_USER = "hdfs.user" HDFS_KERB_TICKET = "hdfs.kerberos_ticket" ADLS_CONNECTION_STRING = "adls.connection-string" +ADLS_CREDENTIAL = "adls.credential" ADLS_ACCOUNT_NAME = "adls.account-name" ADLS_ACCOUNT_KEY = "adls.account-key" ADLS_SAS_TOKEN = "adls.sas-token" diff --git a/pyiceberg/io/fsspec.py b/pyiceberg/io/fsspec.py index 6febff0ae6..d075765ed1 100644 --- a/pyiceberg/io/fsspec.py +++ b/pyiceberg/io/fsspec.py @@ -45,6 +45,7 @@ ADLS_CLIENT_ID, ADLS_CLIENT_SECRET, ADLS_CONNECTION_STRING, + ADLS_CREDENTIAL, ADLS_SAS_TOKEN, ADLS_TENANT_ID, AWS_ACCESS_KEY_ID, @@ -203,6 +204,7 @@ def _adls(properties: Properties) -> AbstractFileSystem: return AzureBlobFileSystem( connection_string=properties.get(ADLS_CONNECTION_STRING), + credential=properties.get(ADLS_CREDENTIAL), account_name=properties.get(ADLS_ACCOUNT_NAME), account_key=properties.get(ADLS_ACCOUNT_KEY), sas_token=properties.get(ADLS_SAS_TOKEN), From 805265288d7373ffc85c7843c19a44696727e69c Mon Sep 17 00:00:00 2001 From: Kevin Liu Date: Mon, 11 Aug 2025 02:39:51 -0700 Subject: [PATCH 34/52] Add missing Arrow AzureFileSystem parameters (#2301) # Rationale for this change Similar to #2299 This PR adds the rest of the parameters to [`pyarrow.fs.AzureFileSystem`](https://arrow.apache.org/docs/python/generated/pyarrow.fs.AzureFileSystem.html) Note the [Azure Data Lake configuration page](https://github.com/apache/iceberg-python/blob/main/mkdocs/docs/configuration.md#azure-data-lake) already has these 3 parameters # Are these changes tested? # Are there any user-facing changes? --- pyiceberg/io/pyarrow.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py index ab85893ab4..c756487c32 100644 --- a/pyiceberg/io/pyarrow.py +++ b/pyiceberg/io/pyarrow.py @@ -87,9 +87,12 @@ ADLS_ACCOUNT_NAME, ADLS_BLOB_STORAGE_AUTHORITY, ADLS_BLOB_STORAGE_SCHEME, + ADLS_CLIENT_ID, + ADLS_CLIENT_SECRET, ADLS_DFS_STORAGE_AUTHORITY, ADLS_DFS_STORAGE_SCHEME, ADLS_SAS_TOKEN, + ADLS_TENANT_ID, AWS_ACCESS_KEY_ID, AWS_REGION, AWS_ROLE_ARN, @@ -501,6 +504,7 @@ def _initialize_s3_fs(self, netloc: Optional[str]) -> FileSystem: return S3FileSystem(**client_kwargs) def _initialize_azure_fs(self) -> FileSystem: + # https://arrow.apache.org/docs/python/generated/pyarrow.fs.AzureFileSystem.html from packaging import version MIN_PYARROW_VERSION_SUPPORTING_AZURE_FS = "20.0.0" @@ -535,6 +539,24 @@ def _initialize_azure_fs(self) -> FileSystem: if sas_token := self.properties.get(ADLS_SAS_TOKEN): client_kwargs["sas_token"] = sas_token + if client_id := self.properties.get(ADLS_CLIENT_ID): + client_kwargs["client_id"] = client_id + if client_secret := self.properties.get(ADLS_CLIENT_SECRET): + client_kwargs["client_secret"] = client_secret + if tenant_id := self.properties.get(ADLS_TENANT_ID): + client_kwargs["tenant_id"] = tenant_id + + # Validate that all three are provided together for ClientSecretCredential + credential_keys = ["client_id", "client_secret", "tenant_id"] + provided_keys = [key for key in credential_keys if key in client_kwargs] + if provided_keys and len(provided_keys) != len(credential_keys): + missing_keys = [key for key in credential_keys if key not in client_kwargs] + raise ValueError( + f"client_id, client_secret, and tenant_id must all be provided together " + f"to use ClientSecretCredential for Azure authentication. 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00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:11:53 +0200 Subject: [PATCH 36/52] Build: Bump pre-commit from 4.2.0 to 4.3.0 (#2319) --- poetry.lock | 8 ++++---- pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index fc2ce19b1f..270cca9885 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3909,14 +3909,14 @@ xlsxwriter = ["xlsxwriter"] [[package]] name = "pre-commit" -version = "4.2.0" +version = "4.3.0" description = "A framework for managing and maintaining multi-language pre-commit hooks." optional = false python-versions = ">=3.9" groups = ["dev"] files = [ - {file = "pre_commit-4.2.0-py2.py3-none-any.whl", hash = "sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd"}, - {file = "pre_commit-4.2.0.tar.gz", hash = "sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146"}, + {file = "pre_commit-4.3.0-py2.py3-none-any.whl", hash = "sha256:2b0747ad7e6e967169136edffee14c16e148a778a54e4f967921aa1ebf2308d8"}, + {file = "pre_commit-4.3.0.tar.gz", hash = "sha256:499fe450cc9d42e9d58e606262795ecb64dd05438943c62b66f6a8673da30b16"}, ] [package.dependencies] @@ -6408,4 +6408,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "80d21d534ed064f5e4a377d42aeec41eeaba48b5d85e059816e690b31294f8d8" +content-hash = "4f1927f42fe2b901a183d368749e7822e16fbe321eaa16768545650a0e427b02" diff --git a/pyproject.toml b/pyproject.toml index 0f162b7c28..5d18d422bc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -92,7 +92,7 @@ datafusion = { version = ">=45", optional = true } pytest = "7.4.4" pytest-checkdocs = "2.13.0" pytest-lazy-fixture = "0.6.3" -pre-commit = "4.2.0" +pre-commit = "4.3.0" fastavro = "1.12.0" coverage = { version = "^7.4.2", extras = ["toml"] } requests-mock = "1.12.1" From 29f71fb97e7262f1bbe01c83785e6f9bac25c924 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:12:12 +0200 Subject: [PATCH 37/52] Build: Bump rich from 14.0.0 to 14.1.0 (#2318) --- poetry.lock | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/poetry.lock b/poetry.lock index 270cca9885..47af783f37 100644 --- a/poetry.lock +++ b/poetry.lock @@ -5193,20 +5193,19 @@ six = "*" [[package]] name = "rich" -version = "14.0.0" +version = "14.1.0" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.0.0-py3-none-any.whl", hash = "sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0"}, - {file = "rich-14.0.0.tar.gz", hash = "sha256:82f1bc23a6a21ebca4ae0c45af9bdbc492ed20231dcb63f297d6d1021a9d5725"}, + {file = "rich-14.1.0-py3-none-any.whl", hash = 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allows you to easily mock out tests based on AWS infrastructure" optional = false python-versions = ">=3.9" groups = ["dev"] files = [ - {file = "moto-5.1.8-py3-none-any.whl", hash = "sha256:12f3a15100da7de019c671a516dbba33b14072faba103f16ca79a39b8c803b7d"}, - {file = "moto-5.1.8.tar.gz", hash = "sha256:5c2f63c051b7c13224cb1483917c85a796468d7e37dcd5d1a5b8de66729de3f4"}, + {file = "moto-5.1.10-py3-none-any.whl", hash = "sha256:9ec1a21a924f97470af225b2bfa854fe46c1ad30fb44655eba458206dedf28b5"}, + {file = "moto-5.1.10.tar.gz", hash = "sha256:d6bdc8f82a1e503502927cc0a3da22014f836094d0bf399bb0f695754ae6c7a6"}, ] [package.dependencies] From c9cd95dccf2e28c00c8c748f5a62a6d00063dde2 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:15:17 +0200 Subject: [PATCH 39/52] Build: Bump boto3 from 1.38.46 to 1.39.11 (#2316) --- poetry.lock | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/poetry.lock b/poetry.lock index 474f99710f..6192822657 100644 --- a/poetry.lock +++ b/poetry.lock @@ -27,29 +27,29 @@ tests = ["arrow", "dask[dataframe]", "docker", "pytest", "pytest-mock"] [[package]] name = "aiobotocore" -version = "2.23.1" +version = "2.24.0" description = "Async client for aws services using botocore and aiohttp" optional = true python-versions = ">=3.9" groups = ["main"] markers = "extra == \"s3fs\"" files = [ - {file = "aiobotocore-2.23.1-py3-none-any.whl", hash = "sha256:d81c54d2eae2406ea9a473fea518fed580cf37bc4fc51ce43ba81546e5305114"}, - {file = "aiobotocore-2.23.1.tar.gz", hash = "sha256:a59f2a78629b97d52f10936b79c73de64e481a8c44a62c1871f088df6c1afc4f"}, + {file = "aiobotocore-2.24.0-py3-none-any.whl", hash = "sha256:72bb1f8eb1b962779a95e1bcc9cf35bc33196ad763b622a40ae7fa9d2e95c87c"}, + {file = "aiobotocore-2.24.0.tar.gz", hash = "sha256:b32c0c45d38c22a18ce395a0b5448606c5260603296a152895b5bdb40ab3139d"}, ] [package.dependencies] aiohttp = ">=3.9.2,<4.0.0" aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.38.40,<1.38.47" +botocore = ">=1.39.9,<1.39.12" jmespath = ">=0.7.1,<2.0.0" multidict = ">=6.0.0,<7.0.0" python-dateutil = ">=2.1,<3.0.0" wrapt = ">=1.10.10,<2.0.0" [package.extras] -awscli = ["awscli (>=1.40.39,<1.40.46)"] -boto3 = ["boto3 (>=1.38.40,<1.38.47)"] +awscli = ["awscli (>=1.41.9,<1.41.12)"] +boto3 = ["boto3 (>=1.39.9,<1.39.12)"] httpx = ["httpx (>=0.25.1,<0.29)"] [[package]] @@ -522,19 +522,19 @@ snowflake = ["snowflake-connector-python"] [[package]] name = "boto3" -version = "1.38.46" +version = "1.39.11" description = "The AWS SDK for Python" optional = false python-versions = ">=3.9" groups = ["main", "dev"] files = [ - {file = "boto3-1.38.46-py3-none-any.whl", hash = "sha256:9c8e88a32a6465e5905308708cff5b17547117f06982908bdfdb0108b4a65079"}, - {file = "boto3-1.38.46.tar.gz", hash = "sha256:d1ca2b53138afd0341e1962bd52be6071ab7a63c5b4f89228c5ef8942c40c852"}, + {file = "boto3-1.39.11-py3-none-any.whl", hash 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hash = "sha256:1545352931a8a186f3e977b1e1a4542d7d434796e274c3c62efd0210b5ea76dc"}, + {file = "botocore-1.39.11.tar.gz", hash = "sha256:953b12909d6799350e346ab038e55b6efe622c616f80aef74d7a6683ffdd972c"}, ] markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\" or extra == \"s3fs\""} From 0ca2ce9fab9cc84cb2f398ca6cda2ad1e8fc64df Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:15:58 +0200 Subject: [PATCH 40/52] Build: Bump huggingface-hub from 0.33.4 to 0.34.4 (#2315) --- poetry.lock | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6192822657..5cb7fcef74 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2112,21 +2112,21 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.33.4" +version = "0.34.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = true python-versions = ">=3.8.0" groups = ["main"] markers = "extra == \"hf\"" files = [ - {file = "huggingface_hub-0.33.4-py3-none-any.whl", hash = "sha256:09f9f4e7ca62547c70f8b82767eefadd2667f4e116acba2e3e62a5a81815a7bb"}, - {file = "huggingface_hub-0.33.4.tar.gz", hash = "sha256:6af13478deae120e765bfd92adad0ae1aec1ad8c439b46f23058ad5956cbca0a"}, + {file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"}, + {file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"}, ] [package.dependencies] filelock = "*" fsspec = ">=2023.5.0" -hf-xet = {version = ">=1.1.2,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} packaging = ">=20.9" pyyaml = ">=5.1" requests = "*" @@ -2134,16 +2134,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (==1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] From 514f6f6fb87f1a39e14693f5ffe6123f13be4e34 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Aug 2025 11:16:21 +0200 Subject: [PATCH 41/52] Build: Bump mypy-boto3-glue from 1.40.0 to 1.40.5 (#2313) --- poetry.lock | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5cb7fcef74..8fe3940e07 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3325,14 +3325,14 @@ typing-extensions = {version = "*", markers = "python_version < \"3.12\""} [[package]] name = "mypy-boto3-glue" -version = "1.40.0" -description = "Type annotations for boto3 Glue 1.40.0 service generated with mypy-boto3-builder 8.11.0" +version = "1.40.5" +description = "Type annotations for boto3 Glue 1.40.5 service generated with mypy-boto3-builder 8.11.0" optional = false python-versions = ">=3.8" groups = ["dev"] files = [ - {file = "mypy_boto3_glue-1.40.0-py3-none-any.whl", hash = "sha256:3593881c548f1ca2de887201c2f9ca7502b471014c4678c351de14803e74b6d2"}, - {file = "mypy_boto3_glue-1.40.0.tar.gz", hash = "sha256:9ab3fbced2f73e5e3fa49940b67f9eab64c4157f64591053ec6b0ad2824a0ee9"}, + {file = "mypy_boto3_glue-1.40.5-py3-none-any.whl", hash = "sha256:a86c478345545b5c55adf8eef2648c3663161a678fa7313f019795a725768e06"}, + 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.github/workflows/python-ci.yml | 4 ++-- .github/workflows/python-release-docs.yml | 2 +- .github/workflows/python-release.yml | 2 +- .github/workflows/svn-build-artifacts.yml | 2 +- 8 files changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/license_check.yml b/.github/workflows/license_check.yml index 9408a3a046..a501a6807e 100644 --- a/.github/workflows/license_check.yml +++ b/.github/workflows/license_check.yml @@ -24,5 +24,5 @@ jobs: rat: runs-on: ubuntu-22.04 steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v5 - run: dev/check-license diff --git a/.github/workflows/nightly-pypi-build.yml b/.github/workflows/nightly-pypi-build.yml index e7a32a3d0a..dea6d653ae 100644 --- a/.github/workflows/nightly-pypi-build.yml +++ b/.github/workflows/nightly-pypi-build.yml @@ -31,7 +31,7 @@ jobs: outputs: VERSION: ${{ steps.set-version.outputs.VERSION }} steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v5 with: fetch-depth: 1 diff --git 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Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.9" groups = ["docs"] files = [ - {file = "griffe-1.9.0-py3-none-any.whl", hash = "sha256:bcf90ee3ad42bbae70a2a490c782fc8e443de9b84aa089d857c278a4e23215fc"}, - {file = "griffe-1.9.0.tar.gz", hash = "sha256:b5531cf45e9b73f0842c2121cc4d4bcbb98a55475e191fc9830e7aef87a920a0"}, + {file = "griffe-1.11.1-py3-none-any.whl", hash = "sha256:5799cf7c513e4b928cfc6107ee6c4bc4a92e001f07022d97fd8dee2f612b6064"}, + {file = "griffe-1.11.1.tar.gz", hash = "sha256:d54ffad1ec4da9658901eb5521e9cddcdb7a496604f67d8ae71077f03f549b7e"}, ] [package.dependencies] @@ -6438,4 +6438,4 @@ zstandard = ["zstandard"] [metadata] lock-version = "2.1" python-versions = "^3.9.2, !=3.9.7" -content-hash = "4f1927f42fe2b901a183d368749e7822e16fbe321eaa16768545650a0e427b02" +content-hash = "bb54e8caddecc4be1b9614edfd2fe105aa486ed7dca172917df39d6c90b33b0a" diff --git a/pyproject.toml b/pyproject.toml index 5d18d422bc..e642f2888b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -109,7 +109,7 @@ mypy-boto3-dynamodb = ">=1.28.18" [tool.poetry.group.docs.dependencies] # for mkdocs mkdocs = "1.6.1" -griffe = "1.9.0" +griffe = "1.11.1" jinja2 = "3.1.6" mkdocstrings = "0.30.0" mkdocstrings-python = "1.16.12" From 4b961f709625413abb4933476b593f64ae6f825d Mon Sep 17 00:00:00 2001 From: Brad <61765732+ForeverAngry@users.noreply.github.com> Date: Tue, 12 Aug 2025 15:19:09 -0400 Subject: [PATCH 50/52] refactor: consolidate snapshot expiration into MaintenanceTable (#2143) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit # Rationale for this change - Consolidates snapshot expiration functionality from the standalone `ExpireSnapshots` class into the `MaintenanceTable` class for a unified maintenance API. - Resolves planned work left over from #1880, and closes https://github.com/apache/iceberg-python/issues/2142 - Achieves feature and API parity with the Java implementation for snapshot retention and table maintenance. # Features & Enhancements - Introduces `table.maintenance.expire_snapshots()` as the unified entry point for snapshot expiration and future maintenance operations. - Retains the existing `ExpireSnapshots` implementation internally. The `expire_snapshots()` method on `MaintenanceTable` now returns an `ExpireSnapshots` object, preserving transaction semantics and supporting context manager usage: ```python with table.maintenance.expire_snapshots() as expire_snapshots: expire_snapshots.by_id(1) expire_snapshots.by_id(2) ``` - Focuses this PR on refactoring and documentation improvements, while maintaining compatibility with the prior `ExpireSnapshots` interface. - Sets a foundation for future expansion of the `MaintenanceTable` abstraction to encapsulate additional maintenance operations. # Bug Fixes & Cleanups - **ManageSnapshots Cleanup ([#2151](https://github.com/apache/iceberg-python/issues/2151))** - Removes an unrelated instance variable from the `ManageSnapshots` class, aligning with the Java reference implementation. # Testing & Documentation - **Testing:** - Tested the new API interface including: - Expiration by ID - Protection of branch/tag snapshots - **Documentation:** - Added and updated documentation to describe: - API usage examples Preview: Screenshot 2025-08-11 at 1 37 04 PM # Are these changes tested? Yes. All changes are tested.~, with this PR predicated on the final changes from #1200.~ This work builds on the framework introduced by @jayceslesar in #1200 for the `MaintenanceTable`. # Are there any user-facing changes? --- **Closes:** - Closes #2151 - Closes #2142 --------- Co-authored-by: Fokko Driesprong Co-authored-by: Kevin Liu --- mkdocs/docs/api.md | 41 +++++++++++++++++++++++++ pyiceberg/table/__init__.py | 16 ++++++---- pyiceberg/table/maintenance.py | 45 ++++++++++++++++++++++++++++ pyiceberg/table/update/snapshot.py | 11 ++++--- tests/table/test_expire_snapshots.py | 12 ++++---- 5 files changed, 108 insertions(+), 17 deletions(-) create mode 100644 pyiceberg/table/maintenance.py diff --git a/mkdocs/docs/api.md b/mkdocs/docs/api.md index 1791b112da..1559fdedab 100644 --- a/mkdocs/docs/api.md +++ b/mkdocs/docs/api.md @@ -1287,6 +1287,47 @@ with table.manage_snapshots() as ms: ms.create_branch(snapshot_id1, "Branch_A").create_tag(snapshot_id2, "tag789") ``` +## Table Maintenance + +PyIceberg provides table maintenance operations through the `table.maintenance` API. This provides a clean interface for performing maintenance tasks like snapshot expiration. + +### Snapshot Expiration + +Expire old snapshots to clean up table metadata and reduce storage costs: + +```python +# Basic usage - expire a specific snapshot by ID +table.maintenance.expire_snapshots().by_id(12345).commit() + +# Context manager usage (recommended for multiple operations) +with table.maintenance.expire_snapshots() as expire: + expire.by_id(12345) + expire.by_id(67890) + # Automatically commits when exiting the context + +# Method chaining +table.maintenance.expire_snapshots().by_id(12345).commit() +``` + +#### Real-world Example + +```python +def cleanup_old_snapshots(table_name: str, snapshot_ids: list[int]): + """Remove specific snapshots from a table.""" + catalog = load_catalog("production") + table = catalog.load_table(table_name) + + # Use context manager for safe transaction handling + with table.maintenance.expire_snapshots() as expire: + for snapshot_id in snapshot_ids: + expire.by_id(snapshot_id) + + print(f"Expired {len(snapshot_ids)} snapshots from {table_name}") + +# Usage +cleanup_old_snapshots("analytics.user_events", [12345, 67890, 11111]) +``` + ## Views PyIceberg supports view operations. diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py index 7d5cc10de5..92bbd60358 100644 --- a/pyiceberg/table/__init__.py +++ b/pyiceberg/table/__init__.py @@ -80,6 +80,7 @@ from pyiceberg.schema import Schema from pyiceberg.table.inspect import InspectTable from pyiceberg.table.locations import LocationProvider, load_location_provider +from pyiceberg.table.maintenance import MaintenanceTable from pyiceberg.table.metadata import ( INITIAL_SEQUENCE_NUMBER, TableMetadata, @@ -115,7 +116,7 @@ update_table_metadata, ) from pyiceberg.table.update.schema import UpdateSchema -from pyiceberg.table.update.snapshot import ExpireSnapshots, ManageSnapshots, UpdateSnapshot, _FastAppendFiles +from pyiceberg.table.update.snapshot import ManageSnapshots, UpdateSnapshot, _FastAppendFiles from pyiceberg.table.update.spec import UpdateSpec from pyiceberg.table.update.statistics import UpdateStatistics from pyiceberg.transforms import IdentityTransform @@ -1086,6 +1087,15 @@ def inspect(self) -> InspectTable: """ return InspectTable(self) + @property + def maintenance(self) -> MaintenanceTable: + """Return the MaintenanceTable object for maintenance. + + Returns: + MaintenanceTable object based on this Table. + """ + return MaintenanceTable(self) + def refresh(self) -> Table: """Refresh the current table metadata. @@ -1258,10 +1268,6 @@ def manage_snapshots(self) -> ManageSnapshots: """ return ManageSnapshots(transaction=Transaction(self, autocommit=True)) - def expire_snapshots(self) -> ExpireSnapshots: - """Shorthand to run expire snapshots by id or by a timestamp.""" - return ExpireSnapshots(transaction=Transaction(self, autocommit=True)) - def update_statistics(self) -> UpdateStatistics: """ Shorthand to run statistics management operations like add statistics and remove statistics. diff --git a/pyiceberg/table/maintenance.py b/pyiceberg/table/maintenance.py new file mode 100644 index 0000000000..0fcda35ae9 --- /dev/null +++ b/pyiceberg/table/maintenance.py @@ -0,0 +1,45 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +logger = logging.getLogger(__name__) + + +if TYPE_CHECKING: + from pyiceberg.table import Table + from pyiceberg.table.update.snapshot import ExpireSnapshots + + +class MaintenanceTable: + tbl: Table + + def __init__(self, tbl: Table) -> None: + self.tbl = tbl + + def expire_snapshots(self) -> ExpireSnapshots: + """Return an ExpireSnapshots builder for snapshot expiration operations. + + Returns: + ExpireSnapshots builder for configuring and executing snapshot expiration. + """ + from pyiceberg.table import Transaction + from pyiceberg.table.update.snapshot import ExpireSnapshots + + return ExpireSnapshots(transaction=Transaction(self.tbl, autocommit=True)) diff --git a/pyiceberg/table/update/snapshot.py b/pyiceberg/table/update/snapshot.py index 3ffb275ded..9a44024a3c 100644 --- a/pyiceberg/table/update/snapshot.py +++ b/pyiceberg/table/update/snapshot.py @@ -907,8 +907,7 @@ def remove_branch(self, branch_name: str) -> ManageSnapshots: class ExpireSnapshots(UpdateTableMetadata["ExpireSnapshots"]): - """ - Expire snapshots by ID. + """Expire snapshots by ID. Use table.expire_snapshots().().commit() to run a specific operation. Use table.expire_snapshots().().().commit() to run multiple operations. @@ -953,7 +952,7 @@ def _get_protected_snapshot_ids(self) -> Set[int]: return protected_ids - def expire_snapshot_by_id(self, snapshot_id: int) -> ExpireSnapshots: + def by_id(self, snapshot_id: int) -> ExpireSnapshots: """ Expire a snapshot by its ID. @@ -974,7 +973,7 @@ def expire_snapshot_by_id(self, snapshot_id: int) -> ExpireSnapshots: return self - def expire_snapshots_by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots": + def by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots": """ Expire multiple snapshots by their IDs. @@ -986,10 +985,10 @@ def expire_snapshots_by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots": This for method chaining. """ for snapshot_id in snapshot_ids: - self.expire_snapshot_by_id(snapshot_id) + self.by_id(snapshot_id) return self - def expire_snapshots_older_than(self, timestamp_ms: int) -> "ExpireSnapshots": + def older_than(self, timestamp_ms: int) -> "ExpireSnapshots": """ Expire all unprotected snapshots with a timestamp older than a given value. diff --git a/tests/table/test_expire_snapshots.py b/tests/table/test_expire_snapshots.py index 82ecb9e493..273b4f631b 100644 --- a/tests/table/test_expire_snapshots.py +++ b/tests/table/test_expire_snapshots.py @@ -43,7 +43,7 @@ def test_cannot_expire_protected_head_snapshot(table_v2: Table) -> None: # Attempt to expire the HEAD snapshot and expect a ValueError with pytest.raises(ValueError, match=f"Snapshot with ID {HEAD_SNAPSHOT} is protected and cannot be expired."): - table_v2.expire_snapshots().expire_snapshot_by_id(HEAD_SNAPSHOT).commit() + table_v2.maintenance.expire_snapshots().by_id(HEAD_SNAPSHOT).commit() table_v2.catalog.commit_table.assert_not_called() @@ -66,7 +66,7 @@ def test_cannot_expire_tagged_snapshot(table_v2: Table) -> None: assert any(ref.snapshot_id == TAGGED_SNAPSHOT for ref in table_v2.metadata.refs.values()) with pytest.raises(ValueError, match=f"Snapshot with ID {TAGGED_SNAPSHOT} is protected and cannot be expired."): - table_v2.expire_snapshots().expire_snapshot_by_id(TAGGED_SNAPSHOT).commit() + table_v2.maintenance.expire_snapshots().by_id(TAGGED_SNAPSHOT).commit() table_v2.catalog.commit_table.assert_not_called() @@ -98,7 +98,7 @@ def test_expire_unprotected_snapshot(table_v2: Table) -> None: assert all(ref.snapshot_id != EXPIRE_SNAPSHOT for ref in table_v2.metadata.refs.values()) # Expire the snapshot - table_v2.expire_snapshots().expire_snapshot_by_id(EXPIRE_SNAPSHOT).commit() + table_v2.maintenance.expire_snapshots().by_id(EXPIRE_SNAPSHOT).commit() table_v2.catalog.commit_table.assert_called_once() remaining_snapshots = table_v2.metadata.snapshots @@ -114,7 +114,7 @@ def test_expire_nonexistent_snapshot_raises(table_v2: Table) -> None: table_v2.metadata = table_v2.metadata.model_copy(update={"refs": {}}) with pytest.raises(ValueError, match=f"Snapshot with ID {NONEXISTENT_SNAPSHOT} does not exist."): - table_v2.expire_snapshots().expire_snapshot_by_id(NONEXISTENT_SNAPSHOT).commit() + table_v2.maintenance.expire_snapshots().by_id(NONEXISTENT_SNAPSHOT).commit() table_v2.catalog.commit_table.assert_not_called() @@ -152,7 +152,7 @@ def test_expire_snapshots_by_timestamp_skips_protected(table_v2: Table) -> None: ) table_v2.catalog.commit_table.return_value = mock_response - table_v2.expire_snapshots().expire_snapshots_older_than(future_timestamp).commit() + table_v2.maintenance.expire_snapshots().older_than(future_timestamp).commit() # Update metadata to reflect the commit (as in other tests) table_v2.metadata = mock_response.metadata @@ -215,7 +215,7 @@ def test_expire_snapshots_by_ids(table_v2: Table) -> None: assert all(ref.snapshot_id not in (EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2) for ref in table_v2.metadata.refs.values()) # Expire the snapshots - table_v2.expire_snapshots().expire_snapshots_by_ids([EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2]).commit() + table_v2.maintenance.expire_snapshots().by_ids([EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2]).commit() table_v2.catalog.commit_table.assert_called_once() remaining_snapshots = table_v2.metadata.snapshots From 640c592b705db01199020db8e5f2b6e2c67f06bf Mon Sep 17 00:00:00 2001 From: Fokko Driesprong Date: Wed, 13 Aug 2025 19:42:29 +0200 Subject: [PATCH 51/52] Document `older_than` of ExpireSnapshots (#2324) # Rationale for this change I was looking into this, and took the liberty of changing the API to a datetime rather than milliseconds to avoid anyone passing in seconds or microseconds. # Are these changes tested? # Are there any user-facing changes? --- mkdocs/docs/api.md | 11 +++++++---- pyiceberg/table/update/snapshot.py | 21 +++++++++++---------- tests/table/test_expire_snapshots.py | 5 +++-- 3 files changed, 21 insertions(+), 16 deletions(-) diff --git a/mkdocs/docs/api.md b/mkdocs/docs/api.md index 1559fdedab..070a6d08e4 100644 --- a/mkdocs/docs/api.md +++ b/mkdocs/docs/api.md @@ -1296,7 +1296,13 @@ PyIceberg provides table maintenance operations through the `table.maintenance` Expire old snapshots to clean up table metadata and reduce storage costs: ```python -# Basic usage - expire a specific snapshot by ID +# Expire snapshots older than three days +from datetime import datetime, timedelta +table.maintenance.expire_snapshots().older_than( + datetime.now() - timedelta(days=3) +).commit() + +# Expire a specific snapshot by ID table.maintenance.expire_snapshots().by_id(12345).commit() # Context manager usage (recommended for multiple operations) @@ -1304,9 +1310,6 @@ with table.maintenance.expire_snapshots() as expire: expire.by_id(12345) expire.by_id(67890) # Automatically commits when exiting the context - -# Method chaining -table.maintenance.expire_snapshots().by_id(12345).commit() ``` #### Real-world Example diff --git a/pyiceberg/table/update/snapshot.py b/pyiceberg/table/update/snapshot.py index 9a44024a3c..018f6614c1 100644 --- a/pyiceberg/table/update/snapshot.py +++ b/pyiceberg/table/update/snapshot.py @@ -22,6 +22,7 @@ from abc import abstractmethod from collections import defaultdict from concurrent.futures import Future +from datetime import datetime from functools import cached_property from typing import TYPE_CHECKING, Callable, Dict, Generic, List, Optional, Set, Tuple @@ -82,6 +83,7 @@ ) from pyiceberg.utils.bin_packing import ListPacker from pyiceberg.utils.concurrent import ExecutorFactory +from pyiceberg.utils.datetime import datetime_to_millis from pyiceberg.utils.properties import property_as_bool, property_as_int if TYPE_CHECKING: @@ -944,13 +946,11 @@ def _get_protected_snapshot_ids(self) -> Set[int]: Returns: Set of protected snapshot IDs to exclude from expiration. """ - protected_ids: Set[int] = set() - - for ref in self._transaction.table_metadata.refs.values(): - if ref.snapshot_ref_type in [SnapshotRefType.TAG, SnapshotRefType.BRANCH]: - protected_ids.add(ref.snapshot_id) - - return protected_ids + return { + ref.snapshot_id + for ref in self._transaction.table_metadata.refs.values() + if ref.snapshot_ref_type in [SnapshotRefType.TAG, SnapshotRefType.BRANCH] + } def by_id(self, snapshot_id: int) -> ExpireSnapshots: """ @@ -988,18 +988,19 @@ def by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots": self.by_id(snapshot_id) return self - def older_than(self, timestamp_ms: int) -> "ExpireSnapshots": + def older_than(self, dt: datetime) -> "ExpireSnapshots": """ Expire all unprotected snapshots with a timestamp older than a given value. Args: - timestamp_ms (int): Only snapshots with timestamp_ms < this value will be expired. + dt (datetime): Only snapshots with datetime < this value will be expired. Returns: This for method chaining. """ protected_ids = self._get_protected_snapshot_ids() + expire_from = datetime_to_millis(dt) for snapshot in self._transaction.table_metadata.snapshots: - if snapshot.timestamp_ms < timestamp_ms and snapshot.snapshot_id not in protected_ids: + if snapshot.timestamp_ms < expire_from and snapshot.snapshot_id not in protected_ids: self._snapshot_ids_to_expire.add(snapshot.snapshot_id) return self diff --git a/tests/table/test_expire_snapshots.py b/tests/table/test_expire_snapshots.py index 273b4f631b..e2b2d47b67 100644 --- a/tests/table/test_expire_snapshots.py +++ b/tests/table/test_expire_snapshots.py @@ -14,6 +14,7 @@ # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. +import datetime from unittest.mock import MagicMock from uuid import uuid4 @@ -142,7 +143,7 @@ def test_expire_snapshots_by_timestamp_skips_protected(table_v2: Table) -> None: table_v2.catalog = MagicMock() # Attempt to expire all snapshots before a future timestamp (so both are candidates) - future_timestamp = 9999999999999 # Far in the future, after any real snapshot + future_datetime = datetime.datetime.now() + datetime.timedelta(days=1) # Mock the catalog's commit_table to return the current metadata (simulate no change) mock_response = CommitTableResponse( @@ -152,7 +153,7 @@ def test_expire_snapshots_by_timestamp_skips_protected(table_v2: Table) -> None: ) table_v2.catalog.commit_table.return_value = mock_response - table_v2.maintenance.expire_snapshots().older_than(future_timestamp).commit() + table_v2.maintenance.expire_snapshots().older_than(future_datetime).commit() # Update metadata to reflect the commit (as in other tests) table_v2.metadata = mock_response.metadata From 0d1de4e29d35df04b9949cfe860e9aae3b6e2f0b Mon Sep 17 00:00:00 2001 From: Kevin Liu Date: Thu, 14 Aug 2025 13:12:58 -0700 Subject: [PATCH 52/52] support adls.token --- pyiceberg/io/__init__.py | 1 + pyiceberg/io/fsspec.py | 27 ++++++++++++++++++++++++++- 2 files changed, 27 insertions(+), 1 deletion(-) diff --git a/pyiceberg/io/__init__.py b/pyiceberg/io/__init__.py index f89de18f12..9e4bf104c2 100644 --- a/pyiceberg/io/__init__.py +++ b/pyiceberg/io/__init__.py @@ -86,6 +86,7 @@ ADLS_DFS_STORAGE_AUTHORITY = "adls.dfs-storage-authority" ADLS_BLOB_STORAGE_SCHEME = "adls.blob-storage-scheme" ADLS_DFS_STORAGE_SCHEME = "adls.dfs-storage-scheme" +ADLS_TOKEN = "adls.token" GCS_TOKEN = "gcs.oauth2.token" GCS_TOKEN_EXPIRES_AT_MS = "gcs.oauth2.token-expires-at" GCS_PROJECT_ID = "gcs.project-id" diff --git a/pyiceberg/io/fsspec.py b/pyiceberg/io/fsspec.py index d075765ed1..d37890d58b 100644 --- a/pyiceberg/io/fsspec.py +++ b/pyiceberg/io/fsspec.py @@ -48,6 +48,7 @@ ADLS_CREDENTIAL, ADLS_SAS_TOKEN, ADLS_TENANT_ID, + ADLS_TOKEN, AWS_ACCESS_KEY_ID, AWS_REGION, AWS_SECRET_ACCESS_KEY, @@ -192,7 +193,11 @@ def _gs(properties: Properties) -> AbstractFileSystem: def _adls(properties: Properties) -> AbstractFileSystem: + import time + from adlfs import AzureBlobFileSystem + from azure.core.credentials import AccessToken + from azure.core.credentials_async import AsyncTokenCredential for key, sas_token in { key.replace(f"{ADLS_SAS_TOKEN}.", ""): value for key, value in properties.items() if key.startswith(ADLS_SAS_TOKEN) @@ -202,9 +207,29 @@ def _adls(properties: Properties) -> AbstractFileSystem: if ADLS_SAS_TOKEN not in properties: properties[ADLS_SAS_TOKEN] = sas_token + class StaticTokenCredential(AsyncTokenCredential): + def __init__(self, token_string: str) -> None: + self._token = token_string + # If no expiry provided, set 1 hour from now + self._expires_on = int(time.time()) + 3600 + + async def get_token(self, *scopes: str, **kwargs: Any) -> AccessToken: + return AccessToken(self._token, self._expires_on) + + if ADLS_TOKEN in properties: + token = properties.get(ADLS_TOKEN) + if token is not None: + credential = StaticTokenCredential(token) + else: + credential = None + elif ADLS_CREDENTIAL in properties: + credential = properties.get(ADLS_CREDENTIAL) + else: + credential = None + return AzureBlobFileSystem( connection_string=properties.get(ADLS_CONNECTION_STRING), - credential=properties.get(ADLS_CREDENTIAL), + credential=credential, account_name=properties.get(ADLS_ACCOUNT_NAME), account_key=properties.get(ADLS_ACCOUNT_KEY), sas_token=properties.get(ADLS_SAS_TOKEN),