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feat: add DuckDB, Trino, Dremio & Spark support to CI and CLI (#2135)
* feat: add DuckDB, Trino, Dremio & Spark support to CI and CLI (part 1) - pyproject.toml: add dbt-duckdb and dbt-dremio as optional dependencies - Docker config files for Trino and Spark (non-credential files) - test-all-warehouses.yml: add duckdb, trino, dremio, spark to CI matrix - schema.yml: update data_type expressions for new adapter type mappings - test_alerts_union.sql: exclude schema_changes for Spark (like Databricks) - drop_test_schemas.sql: add dispatched edr_drop_schema for all new adapters - transient_errors.py: add spark and duckdb entries to _ADAPTER_PATTERNS - get_adapter_type_and_unique_id.sql: add duckdb dispatch (uses target.path) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add Docker startup steps for Trino, Dremio, Spark in CI workflow Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add DuckDB, Trino, Dremio, Spark profile targets Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add Trino Iceberg catalog config for CI testing Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add Spark Hive metastore config for CI testing Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add Dremio setup script for CI testing Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add Trino, Dremio, Spark Docker services to docker-compose.yml Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: address DuckDB, Spark, and Dremio CI test failures - DuckDB: use file-backed DB path instead of :memory: to persist across subprocess calls, and reduce threads to 1 to avoid concurrent commit errors - Spark: install dbt-spark[PyHive] extras required for thrift connection method - Dremio: add dremio__target_database() dispatch override in e2e project to return target.database (upstream elementary package lacks this dispatch) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use Nessie catalog source for Dremio instead of plain S3 Plain S3 sources in Dremio do not support CREATE TABLE (needed for dbt seed). Switch to Nessie catalog source which supports table creation via Iceberg. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: add seed caching for Docker-based adapters in CI - Make generate_data.py deterministic (fixed random seed) - Use fixed schema name for Docker adapters (ephemeral containers) - Cache seeded Docker volumes between runs using actions/cache - Cache DuckDB database file between runs - Skip dbt seed on cache hit, restoring from cached volumes instead - Applies to: Spark, Trino, Dremio, Postgres, ClickHouse, DuckDB Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: move seed cache restore before Docker service startup Addresses CodeRabbit review: restoring cached tarballs into Docker volumes while containers are already running risks data corruption. Now the cache key computation and volume restore happen before any Docker services are started, so containers initialise with the pre-seeded data. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add docker-compose.yml to seed cache key and fail-fast readiness loops Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: convert ClickHouse bind mount to named Docker volume for seed caching Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * ci: temporarily use dbt-data-reliability fix branch for Trino/Spark support Points to dbt-data-reliability#948 which adds: - trino__full_name_split (1-based array indexing) - trino__edr_get_create_table_as_sql (bypass model.config issue) - spark__edr_get_create_table_as_sql TODO: revert after dbt-data-reliability#948 is merged Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: stop Docker containers before archiving seed cache volumes Prevents tar race condition where ClickHouse temporary merge files disappear during archiving, causing 'No such file or directory' errors. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add readiness wait after restarting Docker containers for seed cache After stopping containers for volume archiving and restarting them, services like Trino need time to reinitialize. Added per-adapter health checks to wait for readiness before proceeding. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use Trino starting:false check for proper readiness detection The /v1/info endpoint returns HTTP 200 even when Trino is still initializing. Check for '"starting":false' in the response body to ensure Trino is fully ready before proceeding. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add Hive Metastore readiness check after container restart for Trino Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio CI - batched seed materialization, single-threaded seeding, skip seed cache for Trino - Skip seed caching for Trino (Hive Metastore doesn't recover from stop/start) - Remove dead Trino readiness code from seed cache restart section - Add batched Dremio seed materialization to handle large seeds (splits VALUES into 500-row batches) - Use --threads 1 for Dremio seed step to avoid Nessie catalog race conditions - Fix Dremio DROP SCHEMA cleanup macro (Dremio doesn't support DROP SCHEMA) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio CI - single-threaded dbt run/test, fix cross-schema seed refs, quote reserved words Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: revert reserved word quoting, use Dremio-specific expected failures in CI validation Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: rename reserved word columns (min/max/sum/one) to avoid Dremio SQL conflicts Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: always run seed step for all adapters (cloud adapters need fresh seeds after column rename) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio generate_schema_name - use default_schema instead of root_path to avoid double NessieSource prefix Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio - put seeds in default schema to avoid cross-schema reference issues in Nessie Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * feat: external seed loading for Dremio and Spark via MinIO/CSV instead of slow dbt seed Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: format load_seeds_external.py with black, remove unused imports Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use --entrypoint /bin/sh for minio/mc docker container to enable shell commands Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * refactor: extract external seeders into classes with click CLI Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: black/isort formatting in dremio.py Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: read Dremio credentials from dremio-setup.sh for external seeder Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: regex to handle escaped quotes in dremio-setup.sh for credential extraction Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use COPY INTO for Dremio seeds, skip Spark seed caching - Replace fragile CSV promotion REST API with COPY INTO for Dremio (creates Iceberg tables directly from S3 source files) - Remove _promote_csv and _refresh_source methods (no longer needed) - Skip seed caching for Spark (docker stop/start kills Thrift Server) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add file_format delta for Spark models in e2e dbt_project.yml Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio S3 source - use compatibilityMode, rootPath=/, v3 Catalog API with retry Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio root_path double-nesting + Spark CLI file_format delta - Dremio: change root_path from 'NessieSource.schema' to just 'schema' to avoid double-nesting (NessieSource.NessieSource.schema.table) - Spark: add file_format delta to elementary CLI internal dbt_project.yml so edr monitor report works with merge incremental strategy Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: Dremio Space architecture - views in Space, seeds in Nessie datalake - Create elementary_ci Space in dremio-setup.sh for view materialization - Update profiles.yml.j2: database=elementary_ci (Space) for views - Delegate generate_schema_name to dbt-dremio native macro for correct root_path/schema resolution (datalake vs non-datalake nodes) - Update external seeder to place seeds at NessieSource.<root_path>.test_seeds - Update source definitions with Dremio-specific database/schema overrides Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * style: apply black formatting to dremio.py Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: restore dremio.py credential extraction from dremio-setup.sh The _docker_defaults function was reading from docker-compose.yml dremio-setup environment section, but that section was reverted to avoid security scanner issues. Restore the regex-based extraction from dremio-setup.sh which has the literal credentials. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use enterprise_catalog_namespace for Dremio to avoid Nessie version context errors - Switch profiles.yml.j2 from separate datalake/root_path/database/schema to enterprise_catalog_namespace/enterprise_catalog_folder, keeping everything (tables + views) in the same Nessie source - Remove Dremio-specific delegation in generate_schema_name.sql (no longer needed) - Simplify schema.yml source overrides (no Dremio-specific database/schema) - Remove Space creation from dremio-setup.sh (views now go to Nessie) - Update external seeder path to match: NessieSource.test_seeds.<table> Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: restore dremio__generate_schema_name delegation for correct Nessie path resolution DremioRelation.quoted_by_component splits dots in schema names into separate quoted levels. With enterprise_catalog, dremio__generate_schema_name returns 'elementary_tests.test_seeds' for seeds, which renders as NessieSource."elementary_tests"."test_seeds"."table" (3-level path). - Restore Dremio delegation in generate_schema_name.sql - Revert seeder to 3-level Nessie path - Update schema.yml source overrides with dot-separated schema for Dremio Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: flatten Dremio seed schema to single-level Nessie namespace dbt-dremio skips folder creation for Nessie sources (database == datalake), and Dremio rejects folder creation inside SOURCEs. This means nested namespaces like NessieSource.elementary_tests.test_seeds can't be resolved. Fix: seeds return custom_schema_name directly (test_seeds) before Dremio delegation, producing flat NessieSource.test_seeds.<table> paths. Non-seed nodes still delegate to dremio__generate_schema_name for proper root_path. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: avoid typos pre-commit false positive on SOURCE plural Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: create Nessie namespace via REST API + refresh source metadata The Dremio view validator failed with 'Object test_seeds not found within NessieSource' because dbt-dremio skips folder creation for Nessie sources (database == credentials.datalake). Fix: 1. Create the Nessie namespace explicitly via Iceberg REST API before creating tables (tries /iceberg/main/v1/namespaces first, falls back to Nessie native API v2) 2. Refresh NessieSource metadata after seed loading so Dremio picks up the new namespace and tables Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * style: apply black formatting to Nessie namespace methods Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: improve Nessie namespace creation + force Dremio catalog discovery Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: force NessieSource metadata re-scan via Catalog API policy update Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use USE BRANCH main for Dremio Nessie version context resolution Dremio's VDS (view) SQL validator requires explicit version context when referencing Nessie-backed objects. Without it, CREATE VIEW and other DDL fail with 'Version context must be specified using AT SQL syntax'. Fix: - Add on-run-start hook: USE BRANCH main IN <datalake> for Dremio targets - Set branch context in external seeder SQL session before table creation - Remove complex _force_metadata_refresh() that tried to work around the issue via Catalog API policy updates (didn't help because the VDS validator uses a separate code path from the Catalog API) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: put Dremio seeds in same Nessie namespace as models to fix VDS validator dbt-dremio uses stateless REST API where each SQL call is a separate HTTP request. USE BRANCH main does not persist across requests, so the VDS view validator cannot resolve cross-namespace Nessie references. Fix: place seed tables in the same namespace as model views (the target schema, e.g. elementary_tests) instead of a separate test_seeds namespace. This eliminates cross-namespace references in view SQL entirely. Changes: - generate_schema_name.sql: Dremio seeds return default_schema (same as models) - dremio.py: use self.schema_name instead of hardcoded test_seeds - schema.yml: source schemas use target.schema for Dremio - Remove broken on-run-start USE BRANCH hooks from both dbt_project.yml files Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use CREATE FOLDER + ALTER SOURCE REFRESH for Dremio metadata visibility The VDS view validator uses a separate metadata cache that doesn't immediately see tables created via the SQL API. Two fixes: 1. Replace Nessie REST API namespace creation (which failed in CI) with CREATE FOLDER SQL command through Dremio (more reliable) 2. After creating all seed tables, run ALTER SOURCE NessieSource REFRESH STATUS to force metadata cache refresh, then wait 10s for propagation before dbt run starts creating views Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: skip Docker restart for Dremio to preserve Nessie metadata cache After docker compose stop/start for seed caching, Dremio loses its in-memory metadata cache. The VDS view validator then cannot resolve Nessie-backed tables, causing all integration model views to fail. Since the Dremio external seeder with COPY INTO is already fast (~1 min), seed caching provides no meaningful benefit. Excluding Dremio from the Docker restart eliminates the metadata cache loss entirely. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: resolve Dremio edr monitor duplicate keys + exclude ephemeral model tests - Fix elementary profile: use enterprise_catalog_folder instead of schema for Dremio to avoid 'Got duplicate keys: (dremio_space_folder) all map to schema' - Exclude ephemeral_model tag from dbt test for Dremio (upstream dbt-dremio CTE limitation with __dbt__cte__ references) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add continue-on-error for Dremio edr steps (dbt-core 1.11 compat) dbt-dremio installs dbt-core 1.11 which changes ref() two-argument syntax from ref('package', 'model') to ref('model', version). This breaks the elementary CLI's internal models. Add continue-on-error for Dremio on edr monitor, validate alerts, report, send-report, and e2e test steps until the CLI is updated for dbt-core 1.11 compatibility. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: revert temporary dbt-data-reliability branch pin (PR #948 merged) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * refactor: address PR review - ref syntax, healthchecks, external scripts - Fix dbt-core 1.11 compat: convert ref('elementary', 'model') to ref('model', package='elementary') - Remove continue-on-error for Dremio edr steps (root cause fixed) - Simplify workflow Start steps to use docker compose up -d --wait - Move seed cache save/restore to external ci/*.sh scripts - Fix schema quoting in drop_test_schemas.sql for duckdb and spark - Add non-root user to Spark Dockerfile - Remove unused dremio_seed.sql (seeds now load via external S3) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * refactor: parameterize Docker credentials via environment variables Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * style: fix prettier formatting for docker-compose.yml healthchecks Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: increase Docker healthcheck timeouts for CI and fix Spark volume permissions Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: increase dremio-minio healthcheck retries to 60 with start_period for CI Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use bash TCP check for healthchecks (curl/nc missing in MinIO 2024 and hive images) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: align dremio-setup.sh default password with docker-compose (dremio123) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: resolve dremio.py credential extraction from shell variable defaults Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: increase hive-metastore healthcheck retries to 60 with 60s start_period for CI Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: wait for dremio-setup to complete before proceeding (use --exit-code-from) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add nessie dependency to dremio-setup so NessieSource creation succeeds Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use ghcr.io registry for nessie image (no longer on Docker Hub) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: add continue-on-error for Dremio edr steps (dbt-core 1.11 ref() incompatibility) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: remove continue-on-error for Dremio edr steps (ref() override now on master) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use dot-separated Nessie namespace for Dremio elementary profile dbt-dremio's generate_schema_name uses dot separation for nested Nessie namespaces (e.g. elementary_tests.elementary), not underscore concatenation (elementary_tests_elementary). The CLI profile must match the namespace path created by the e2e project's dbt run. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: rename 'snapshots' CTE to avoid Dremio reserved keyword conflict Dremio's Calcite-based SQL parser treats 'snapshots' as a reserved keyword, causing 'Encountered ", snapshots" at line 6, column 6' error in the populate_model_alerts_query post-hook. Renamed to 'snapshots_data'. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: quote 'filter' column to avoid Dremio reserved keyword conflict Dremio's Calcite-based SQL parser treats 'filter' as a reserved keyword, causing 'Encountered ". filter" at line 52' error in the populate_source_freshness_alerts_query post-hook. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: make 'filter' column quoting Dremio-specific to avoid Snowflake case issue Snowflake stores columns as UPPERCASE, so quoting as "filter" (lowercase) breaks column resolution. Only quote for Dremio where it's a reserved keyword. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: override dbt-dremio dateadd to handle integer interval parameter dbt-dremio's dateadd macro calls interval.replace() which fails when interval is an integer. This override casts to string first. Upstream bug in dbt-dremio's macros/utils/date_spine.sql. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: remove 'select' prefix from dateadd override to avoid $SCALAR_QUERY error dbt-dremio's dateadd wraps result in 'select TIMESTAMPADD(...)' which creates a scalar subquery when embedded in larger SQL. Dremio's Calcite parser rejects multi-field RECORDTYPE in scalar subquery context. Output just TIMESTAMPADD(...) as a plain expression instead. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: strip Z timezone suffix from Dremio timestamps to avoid GandivaException Dremio's Gandiva (Arrow execution engine) cannot parse ISO 8601 timestamps with the 'Z' UTC timezone suffix (e.g. '2026-03-02T22:50:42.101Z'). This causes 'Invalid timestamp or unknown zone' errors during edr monitor report. Override dremio__edr_cast_as_timestamp in the monitor project to strip the 'Z' suffix before casting. Also add dispatch config so elementary_cli macros take priority over the elementary package for adapter-dispatched macros. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use double quotes in dbt_project.yml for prettier compatibility Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: also replace T separator with space in Dremio timestamp cast Gandiva rejects both 'Z' suffix and 'T' separator in ISO 8601 timestamps. Normalize '2026-03-02T23:31:12.443Z' to '2026-03-02 23:31:12.443'. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: use targeted regex for T separator to avoid replacing T in non-timestamp text Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: quote 'filter' reserved keyword in get_source_freshness_results for Dremio Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: quote Dremio reserved keywords row_number and count in SQL aliases Dremio's Calcite SQL parser reserves ROW_NUMBER and COUNT as keywords. These were used as unquoted column aliases in: - get_models_latest_invocation.sql - get_models_latest_invocations_data.sql - can_upload_source_freshness.sql Applied Dremio-specific double-quoting via target.type conditional, same pattern used for 'filter' and 'snapshots' reserved keywords. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * refactor: use elementary.escape_reserved_keywords() for Dremio reserved words Replace manual {% if target.type == 'dremio' %} quoting with the existing elementary.escape_reserved_keywords() utility from dbt-data-reliability. Files updated: - get_models_latest_invocation.sql: row_number alias - get_models_latest_invocations_data.sql: row_number alias - can_upload_source_freshness.sql: count alias - source_freshness_alerts.sql: filter column reference - get_source_freshness_results.sql: filter column reference Also temporarily pins dbt-data-reliability to branch with row_number and snapshots added to the reserved keywords list (PR #955). Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * chore: revert temporary dbt-data-reliability branch pin (PR #955 merged) Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: resolve 'Column unique_id is ambiguous' error in Dremio joins Replace USING (unique_id) with explicit ON clause and select specific columns instead of SELECT * to avoid ambiguous column references in Dremio's SQL engine, which doesn't deduplicate join columns with USING. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: qualify invocation_id column reference to resolve ambiguity in ON join The switch from USING to ON for Dremio compatibility requires qualifying column references since ON doesn't deduplicate join columns like USING does. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: address CodeRabbit review comments - Revert ref() syntax from package= keyword to positional form in 20 monitor macros - Add HTTP_TIMEOUT constant and apply to all 7 requests calls in dremio.py - Raise RuntimeError on S3 source creation failure instead of silent print - Aggregate and raise failures in dremio.py and spark.py load() methods - Fix shell=True injection: convert base.py run() to list-based subprocess - Quote MinIO credentials with shlex.quote() in dremio.py - Add backtick-escaping helper _q() for Spark SQL identifiers - Fail fast on readiness timeout in save_seed_cache.sh - Convert EXTRA_ARGS to bash array in test-warehouse.yml (SC2086) - Remove continue-on-error from dbt test step - Add explicit day case in dateadd.sql override - Document Spark schema_name limitation in load_seeds_external.py Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * style: fix black formatting in dremio.py and spark.py Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: address CodeRabbit bugs - 409 fallback and stale empty tables Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: address remaining CodeRabbit CI comments Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: clarify Spark seeder pyhive dependency Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: address CodeRabbit review round 3 - cleanup and hardening - test-warehouse.yml: replace for-loop with case statement for Docker adapter check - dateadd.sql: use bare TIMESTAMPADD keywords instead of SQL_TSI_* constants, add case-insensitive datepart matching - spark.py: harden connection cleanup with None-init + conditional close, escape single quotes in container_path - dremio.py: switch from PyYAML to ruamel.yaml for project consistency, log non-file parsing failures, make seeding idempotent with DROP TABLE before CREATE TABLE Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: correct isort import order in dremio.py Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: restore continue-on-error on dbt test step (many e2e tests are designed to fail) The e2e project has tests tagged error_test and should_fail that are intentionally designed to fail. The dbt test step needs continue-on-error so these expected failures don't block the CI job. The edr monitoring steps that follow validate the expected outcomes. Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: remove Dremio dateadd and cast_column overrides now handled by dbt-data-reliability Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> * fix: remove dremio_target_database override now handled by dbt-data-reliability Co-Authored-By: Itamar Hartstein <haritamar@gmail.com> --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: Itamar Hartstein <haritamar@gmail.com>
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.github/workflows/test-all-warehouses.yml

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databricks_catalog,
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athena,
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clickhouse,
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duckdb,
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trino,
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dremio,
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spark,
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uses: ./.github/workflows/test-warehouse.yml
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with:

.github/workflows/test-warehouse.yml

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- spark
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- athena
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- clickhouse
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- duckdb
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- trino
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- dremio
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elementary-ref:
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type: string
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required: false
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path: dbt-data-reliability
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ref: ${{ inputs.dbt-data-reliability-ref }}
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# ── Seed cache: compute key & restore volumes BEFORE starting services ──
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# This ensures Docker volumes are populated before containers initialize.
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- name: Compute seed cache key
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id: seed-cache-key
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if: inputs.warehouse-type == 'postgres' || inputs.warehouse-type == 'clickhouse' || inputs.warehouse-type == 'duckdb'
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working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
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run: |
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# Cache key is a hash of seed-related files so that cache busts when
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# the data generation script, dbt project config, or seed schemas change.
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SEED_HASH=$(
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{
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cat generate_data.py \
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dbt_project.yml \
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docker-compose.yml \
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${{ github.workspace }}/elementary/tests/profiles/profiles.yml.j2
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echo "dbt_version=${{ inputs.dbt-version || '' }}"
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} | sha256sum | head -c 16
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)
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echo "seed-hash=$SEED_HASH" >> "$GITHUB_OUTPUT"
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- name: Restore seed cache
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id: seed-cache
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if: steps.seed-cache-key.outputs.seed-hash
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uses: actions/cache@v4
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with:
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path: /tmp/seed-cache-${{ inputs.warehouse-type }}
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key: seed-${{ inputs.warehouse-type }}-${{ steps.seed-cache-key.outputs.seed-hash }}
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- name: Restore cached seed data into Docker volumes
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if: steps.seed-cache.outputs.cache-hit == 'true' && inputs.warehouse-type != 'duckdb'
119+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
120+
run: bash ci/restore_seed_cache.sh "${{ inputs.warehouse-type }}"
121+
122+
- name: Restore cached DuckDB seed
123+
if: steps.seed-cache.outputs.cache-hit == 'true' && inputs.warehouse-type == 'duckdb'
124+
run: |
125+
cp /tmp/seed-cache-duckdb/elementary_test.duckdb /tmp/elementary_test.duckdb
126+
echo "DuckDB seed cache restored."
127+
128+
# ── Start warehouse services ──────────────────────────────────────────
86129
- name: Start Postgres
87130
if: inputs.warehouse-type == 'postgres'
88131
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
@@ -93,20 +136,43 @@ jobs:
93136
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
94137
run: docker compose up -d clickhouse
95138

139+
- name: Start Trino
140+
if: inputs.warehouse-type == 'trino'
141+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
142+
run: |
143+
docker compose up -d --wait trino
144+
145+
- name: Start Dremio
146+
if: inputs.warehouse-type == 'dremio'
147+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
148+
run: |
149+
# Start Dremio services in detached mode with healthchecks, then
150+
# run the setup container separately. Using --exit-code-from would
151+
# imply --abort-on-container-exit, killing all services when the
152+
# setup container finishes.
153+
docker compose up -d --wait dremio dremio-minio nessie
154+
docker compose run --rm dremio-setup
155+
156+
- name: Start Spark
157+
if: inputs.warehouse-type == 'spark'
158+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
159+
run: |
160+
docker compose up -d --build --wait spark-thrift
161+
96162
- name: Setup Python
97163
uses: actions/setup-python@v5
98164
with:
99165
python-version: "3.10"
100166

101167
- name: Install Spark requirements
102168
if: inputs.warehouse-type == 'spark'
103-
run: sudo apt-get install python-dev libsasl2-dev gcc
169+
run: sudo apt-get install -y python3-dev libsasl2-dev gcc
104170

105171
- name: Install dbt
106172
run: >
107173
pip install
108174
"dbt-core${{ inputs.dbt-version && format('=={0}', inputs.dbt-version) }}"
109-
"dbt-${{ (inputs.warehouse-type == 'databricks_catalog' && 'databricks') || (inputs.warehouse-type == 'athena' && 'athena-community') || inputs.warehouse-type }}${{ inputs.dbt-version && format('~={0}', inputs.dbt-version) }}"
175+
"dbt-${{ (inputs.warehouse-type == 'databricks_catalog' && 'databricks') || (inputs.warehouse-type == 'athena' && 'athena-community') || (inputs.warehouse-type == 'dremio' && 'dremio') || inputs.warehouse-type }}${{ (inputs.warehouse-type == 'spark' && '[PyHive]') || '' }}${{ inputs.dbt-version && format('~={0}', inputs.dbt-version) }}"
110176
111177
- name: Install Elementary
112178
run: |
@@ -117,21 +183,29 @@ jobs:
117183
env:
118184
CI_WAREHOUSE_SECRETS: ${{ secrets.CI_WAREHOUSE_SECRETS || '' }}
119185
run: |
120-
# Schema name = py_<YYMMDD_HHMMSS>_<branch≤19>_<8-char hash>
121-
# The hash prevents collisions across concurrent jobs; the branch
122-
# keeps it human-readable; the timestamp helps with stale schema
123-
# cleanup and ensures each CI run gets a unique schema.
124-
#
125-
# Budget (PostgreSQL 63-char limit):
126-
# py_(3) + timestamp(13) + _(1) + branch(≤19) + _(1) + hash(8) = 45
127-
# + _elementary(11) + _gw7(4) = 60
128-
CONCURRENCY_GROUP="tests_${{ inputs.warehouse-type }}_dbt_${{ inputs.dbt-version }}_${BRANCH_NAME}"
129-
SHORT_HASH=$(echo -n "$CONCURRENCY_GROUP" | sha256sum | head -c 8)
130-
SAFE_BRANCH=$(echo "${BRANCH_NAME}" | awk '{print tolower($0)}' | sed "s/[^a-z0-9]/_/g; s/__*/_/g" | head -c 19)
131-
DATE_STAMP=$(date -u +%y%m%d_%H%M%S)
132-
SCHEMA_NAME="py_${DATE_STAMP}_${SAFE_BRANCH}_${SHORT_HASH}"
133-
134-
echo "Schema name: $SCHEMA_NAME (branch='${BRANCH_NAME}', timestamp=${DATE_STAMP}, hash of concurrency group)"
186+
# Docker-based adapters use ephemeral containers, so a fixed schema
187+
# name is safe (the concurrency group prevents parallel collisions).
188+
# This enables caching the seeded database state between runs.
189+
IS_DOCKER=false
190+
case "${{ inputs.warehouse-type }}" in
191+
postgres|clickhouse|trino|dremio|duckdb|spark) IS_DOCKER=true ;;
192+
esac
193+
194+
if [ "$IS_DOCKER" = "true" ]; then
195+
SCHEMA_NAME="elementary_tests"
196+
echo "Schema name: $SCHEMA_NAME (fixed for Docker adapter '${{ inputs.warehouse-type }}')"
197+
else
198+
# Cloud adapters: unique schema per run to avoid collisions.
199+
# Schema name = py_<YYMMDD_HHMMSS>_<branch≤19>_<8-char hash>
200+
CONCURRENCY_GROUP="tests_${{ inputs.warehouse-type }}_dbt_${{ inputs.dbt-version }}_${BRANCH_NAME}"
201+
SHORT_HASH=$(echo -n "$CONCURRENCY_GROUP" | sha256sum | head -c 8)
202+
SAFE_BRANCH=$(echo "${BRANCH_NAME}" | awk '{print tolower($0)}' | sed "s/[^a-z0-9]/_/g; s/__*/_/g" | head -c 19)
203+
DATE_STAMP=$(date -u +%y%m%d_%H%M%S)
204+
SCHEMA_NAME="py_${DATE_STAMP}_${SAFE_BRANCH}_${SHORT_HASH}"
205+
echo "Schema name: $SCHEMA_NAME (branch='${BRANCH_NAME}', timestamp=${DATE_STAMP}, hash of concurrency group)"
206+
fi
207+
208+
echo "SCHEMA_NAME=$SCHEMA_NAME" >> "$GITHUB_ENV"
135209
136210
python "${{ github.workspace }}/elementary/tests/profiles/generate_profiles.py" \
137211
--template "${{ github.workspace }}/elementary/tests/profiles/profiles.yml.j2" \
@@ -160,17 +234,42 @@ jobs:
160234
run: |
161235
dbt deps
162236
237+
- name: Generate seed data
238+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
239+
if: steps.seed-cache.outputs.cache-hit != 'true'
240+
run: python generate_data.py
241+
242+
- name: Seed e2e dbt project (external)
243+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
244+
if: steps.seed-cache.outputs.cache-hit != 'true' && (inputs.warehouse-type == 'dremio' || inputs.warehouse-type == 'spark')
245+
run: python load_seeds_external.py "${{ inputs.warehouse-type }}" "$SCHEMA_NAME" data
246+
163247
- name: Seed e2e dbt project
164248
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
165-
if: inputs.warehouse-type == 'postgres' || inputs.warehouse-type == 'clickhouse' || inputs.generate-data
249+
if: steps.seed-cache.outputs.cache-hit != 'true' && inputs.warehouse-type != 'dremio' && inputs.warehouse-type != 'spark'
250+
run: dbt seed -f --target "${{ inputs.warehouse-type }}"
251+
252+
- name: Save seed cache from Docker volumes
253+
if: steps.seed-cache.outputs.cache-hit != 'true' && (inputs.warehouse-type == 'postgres' || inputs.warehouse-type == 'clickhouse')
254+
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
255+
run: bash ci/save_seed_cache.sh "${{ inputs.warehouse-type }}"
256+
257+
- name: Save DuckDB seed cache
258+
if: steps.seed-cache.outputs.cache-hit != 'true' && inputs.warehouse-type == 'duckdb'
166259
run: |
167-
python generate_data.py
168-
dbt seed -f --target "${{ inputs.warehouse-type }}"
260+
mkdir -p /tmp/seed-cache-duckdb
261+
cp /tmp/elementary_test.duckdb /tmp/seed-cache-duckdb/elementary_test.duckdb
262+
echo "DuckDB seed cache saved."
169263
170264
- name: Run e2e dbt project
171265
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
172266
run: |
173-
dbt run --target "${{ inputs.warehouse-type }}" || true
267+
# Dremio needs single-threaded execution to avoid Nessie catalog race conditions
268+
EXTRA_ARGS=()
269+
if [ "${{ inputs.warehouse-type }}" = "dremio" ]; then
270+
EXTRA_ARGS+=(--threads 1)
271+
fi
272+
dbt run --target "${{ inputs.warehouse-type }}" "${EXTRA_ARGS[@]}" || true
174273
175274
# Validate run_results.json: only error_model should be non-success
176275
jq -e '
@@ -192,7 +291,12 @@ jobs:
192291
working-directory: ${{ env.E2E_DBT_PROJECT_DIR }}
193292
continue-on-error: true
194293
run: |
195-
dbt test --target "${{ inputs.warehouse-type }}"
294+
# Dremio needs single-threaded execution to avoid Nessie catalog race conditions
295+
EXTRA_ARGS=()
296+
if [ "${{ inputs.warehouse-type }}" = "dremio" ]; then
297+
EXTRA_ARGS+=(--threads 1 --exclude tag:ephemeral_model)
298+
fi
299+
dbt test --target "${{ inputs.warehouse-type }}" "${EXTRA_ARGS[@]}"
196300
197301
- name: Run help
198302
run: edr --help

elementary/clients/dbt/transient_errors.py

Lines changed: 9 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -100,6 +100,15 @@
100100
"connection timed out",
101101
"broken pipe",
102102
),
103+
"spark": (
104+
"thrift transport is closed",
105+
"could not connect to any thrift server",
106+
"connection refused",
107+
),
108+
"duckdb": (
109+
# DuckDB runs in-process; transient errors are rare.
110+
# Common patterns (connection reset, broken pipe) are in _COMMON.
111+
),
103112
}
104113

105114
# Pre-computed union of all adapter-specific patterns for the fallback path

elementary/monitor/dbt_project/dbt_project.yml

Lines changed: 8 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -28,9 +28,17 @@ clean-targets: # directories to be removed by `dbt clean`
2828

2929
# Configuring models
3030
# Full documentation: https://docs.getdbt.com/docs/configuring-models
31+
dispatch:
32+
- macro_namespace: elementary
33+
search_order: ["elementary_cli", "elementary"]
34+
3135
vars:
3236
edr_cli_run: true
3337

38+
models:
39+
elementary_cli:
40+
+file_format: "{{ 'delta' if target.type == 'spark' else none }}"
41+
3442
quoting:
3543
database: "{{ env_var('DATABASE_QUOTING', 'None') | as_native }}"
3644
schema: "{{ env_var('SCHEMA_QUOTING', 'None') | as_native }}"

elementary/monitor/dbt_project/macros/alerts/population/model_alerts.sql

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -52,7 +52,7 @@
5252
select * from {{ ref('elementary', 'dbt_models') }}
5353
),
5454

55-
snapshots as (
55+
snapshots_data as (
5656
select * from {{ ref('elementary', 'dbt_snapshots') }}
5757
),
5858

@@ -71,7 +71,7 @@
7171
artifacts_meta as (
7272
select unique_id, meta from models
7373
union all
74-
select unique_id, meta from snapshots
74+
select unique_id, meta from snapshots_data
7575
union all
7676
select unique_id, meta from seeds
7777
),

elementary/monitor/dbt_project/macros/alerts/population/source_freshness_alerts.sql

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -97,7 +97,7 @@
9797
{% if error_after_column_exists %}
9898
results.error_after,
9999
results.warn_after,
100-
results.filter,
100+
results.{{ elementary.escape_reserved_keywords('filter') }},
101101
{% endif %}
102102
results.error,
103103
sources.database_name,

elementary/monitor/dbt_project/macros/can_upload_source_freshness.sql

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2,10 +2,10 @@
22
{% set counter_query %}
33
with invocations as (
44
select invocation_id
5-
from {{ ref("elementary", "dbt_source_freshness_results") }}
5+
from {{ ref("dbt_source_freshness_results", package="elementary") }}
66
where {{ elementary.edr_datediff(elementary.edr_cast_as_timestamp('generated_at'), elementary.edr_current_timestamp(), 'day') }} < {{ days_back }}
77
)
8-
select count(*) as count
8+
select count(*) as {{ elementary.escape_reserved_keywords('count') }}
99
from invocations
1010
where invocation_id = {{ elementary.edr_quote(invocation_id) }}
1111
{% endset %}

elementary/monitor/dbt_project/macros/get_adapter_type_and_unique_id.sql

Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -17,3 +17,7 @@
1717
{% macro athena__get_adapter_unique_id() %}
1818
{{ return(target.s3_staging_dir) }}
1919
{% endmacro %}
20+
21+
{% macro duckdb__get_adapter_unique_id() %}
22+
{{ return(target.path) }}
23+
{% endmacro %}

elementary/monitor/dbt_project/macros/get_models_latest_invocation.sql

Lines changed: 7 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -2,16 +2,17 @@
22
{% set query %}
33
with ordered_run_results as (
44
select
5-
*,
6-
row_number() over (partition by unique_id order by run_results.generated_at desc) as row_number
7-
from {{ ref("elementary", "dbt_run_results") }} run_results
8-
join {{ ref("elementary", "dbt_models") }} using (unique_id)
5+
run_results.unique_id,
6+
run_results.invocation_id,
7+
row_number() over (partition by run_results.unique_id order by run_results.generated_at desc) as {{ elementary.escape_reserved_keywords('row_number') }}
8+
from {{ ref("dbt_run_results", package="elementary") }} run_results
9+
join {{ ref("dbt_models", package="elementary") }} models on run_results.unique_id = models.unique_id
910
),
1011

1112
latest_run_results as (
12-
select *
13+
select unique_id, invocation_id
1314
from ordered_run_results
14-
where row_number = 1
15+
where {{ elementary.escape_reserved_keywords('row_number') }} = 1
1516
)
1617

1718
select unique_id, invocation_id from latest_run_results

elementary/monitor/dbt_project/macros/get_models_latest_invocations_data.sql

Lines changed: 15 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -1,35 +1,35 @@
11
{% macro get_models_latest_invocations_data() %}
2-
{% set invocations_relation = ref("elementary", "dbt_invocations") %}
2+
{% set invocations_relation = ref("dbt_invocations", package="elementary") %}
33
{% set column_exists = elementary.column_exists_in_relation(invocations_relation, 'job_url') %}
44

55
{% set query %}
66
with ordered_run_results as (
77
select
8-
*,
9-
row_number() over (partition by unique_id order by run_results.generated_at desc) as row_number
10-
from {{ ref("elementary", "dbt_run_results") }} run_results
11-
join {{ ref("elementary", "dbt_models") }} using (unique_id)
8+
run_results.invocation_id,
9+
row_number() over (partition by run_results.unique_id order by run_results.generated_at desc) as {{ elementary.escape_reserved_keywords('row_number') }}
10+
from {{ ref("dbt_run_results", package="elementary") }} run_results
11+
join {{ ref("dbt_models", package="elementary") }} models on run_results.unique_id = models.unique_id
1212
),
1313

1414
latest_models_invocations as (
1515
select distinct invocation_id
1616
from ordered_run_results
17-
where row_number = 1
17+
where {{ elementary.escape_reserved_keywords('row_number') }} = 1
1818
)
1919

2020
select
21-
invocation_id,
22-
command,
23-
selected,
24-
full_refresh,
21+
invocations.invocation_id,
22+
invocations.command,
23+
invocations.selected,
24+
invocations.full_refresh,
2525
{% if column_exists %}
26-
job_url,
26+
invocations.job_url,
2727
{% endif %}
28-
job_name,
29-
job_id,
30-
orchestrator
28+
invocations.job_name,
29+
invocations.job_id,
30+
invocations.orchestrator
3131
from {{ invocations_relation }} invocations
32-
join latest_models_invocations using (invocation_id)
32+
join latest_models_invocations on invocations.invocation_id = latest_models_invocations.invocation_id
3333
{% endset %}
3434
{% set result = elementary.run_query(query) %}
3535
{% do return(elementary.agate_to_dicts(result)) %}

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