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dev/diffs/4.1.2.diff

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@@ -1663,18 +1663,27 @@ index ede5d285932..c9a8abb5a94 100644
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before {
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diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionAnsiErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionAnsiErrorsSuite.scala
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index 64bb5a289b3..9041a2dfb2c 100644
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index 64bb5a289b3..13fc3c6b0ef 100644
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--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionAnsiErrorsSuite.scala
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+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionAnsiErrorsSuite.scala
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@@ -291,7 +291,7 @@ class QueryExecutionAnsiErrorsSuite extends QueryTest
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@@ -20,6 +20,7 @@ import org.apache.spark._
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import org.apache.spark.SparkBuildInfo
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import org.apache.spark.scheduler.{SparkListener, SparkListenerTaskStart}
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import org.apache.spark.sql.QueryTest
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+import org.apache.spark.sql.IgnoreComet
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import org.apache.spark.sql.catalyst.expressions.{CaseWhen, Cast, CheckOverflowInTableInsert, ExpressionProxy, Literal, SubExprEvaluationRuntime}
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import org.apache.spark.sql.catalyst.plans.logical.OneRowRelation
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import org.apache.spark.sql.classic.SparkSession
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@@ -286,7 +287,8 @@ class QueryExecutionAnsiErrorsSuite extends QueryTest
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)
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}
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- test("INVALID_DATETIME_PATTERN with non-constant pattern") {
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+ test("INVALID_DATETIME_PATTERN with non-constant pattern",
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+ IgnoreComet("Comet exception type mismatch")) {
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withTable("patterns") {
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sql("create table patterns(pattern string) using parquet")
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sql("insert into patterns values ('yyyyMMddHHMIss')")
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checkError(
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- exception = intercept[SparkRuntimeException] {
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+ exception = intercept[SparkException] {
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sql("select to_timestamp('20231225143045', pattern) from patterns").collect()
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},
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condition = "INVALID_DATETIME_PATTERN.WITH_SUGGESTION",
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diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
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index fcecaf25d4c..e5a511022cc 100644
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--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala

docs/source/contributor-guide/development.md

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@@ -660,6 +660,52 @@ make # Build everything and update generated docs
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make test # Run tests (optional but recommended)
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```
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## Forked-Branch CI
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Comet runs PR CI on the contributor's fork rather than on `apache/datafusion-comet`. The heavy build/test matrix consumes the fork owner's GitHub Actions minutes and runners; the upstream repo only hosts a thin `Build` check that links to the fork's run. The design mirrors Apache Spark's fork-CI bridge.
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### Flow
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```mermaid
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flowchart TD
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subgraph fork["Forked repo (contributor)"]
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P([push to any branch]) --> BM["build_main.yml — job: Run"]
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BM -->|workflow_call| BAT["build_and_test.yml (reusable):<br/>ci.yml fan-out, force_all=true"]
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BAT --> CR["check runs:<br/>Run / CI / Preflight, per-Spark-version matrix, ..."]
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end
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subgraph up["Upstream repo (apache/datafusion-comet)"]
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PRT([pull_request_target]) --> N["notify_test_workflow.yml"]
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SCH([schedule: every 15 min]) --> U["update_build_status.yml"]
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N -->|create| B(["Build check on PR"])
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U -->|"PATCH status / conclusion"| B
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end
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BM -.->|"① find run (id: build_main.yml)"| N
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CR -.->|"② link check-run view"| N
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BM -.->|"③ poll run status"| U
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```
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### Workflow responsibilities
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- **`build_main.yml`** (fork) — triggers on `push` to any branch and calls `build_and_test.yml`. Contributor pushes to their fork run here, on the fork's runners.
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- **`build_and_test.yml`** (fork, reusable) — invokes `ci.yml` with `force_all: true`, so the full per-Spark-version matrix runs even when changed paths don't match `ci.yml`'s filters (e.g. when iterating on the workflow files themselves).
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- **`notify_test_workflow.yml`** (upstream) — runs on `pull_request_target` for opened/reopened/synchronize. Looks up the matching `build_main.yml` run on the PR head's fork+branch, then creates a `Build` check on the PR pointing at the fork's check-run view (`Run / CI / Preflight`). If the run can't be found, it reports `action_required` with instructions for the contributor to enable GitHub Actions on their fork.
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- **`update_build_status.yml`** (upstream) — runs on a 15-minute cron, walks open PRs, and `PATCH`es each `Build` check's status/conclusion from the corresponding fork run. This is what eventually flips the upstream check from "queued" to "success/failure".
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### Contributor checklist
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If the upstream `Build` check fails with **"Workflow run detection failed"**:
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1. Ensure GitHub Actions is enabled on your fork (Settings → Actions → "Allow all actions").
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2. Rebase onto the latest upstream `main` and force-push — `notify_test_workflow.yml` looks up the run by `(fork owner, fork repo, branch, head sha)`, and a stale base can prevent the match:
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```sh
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git fetch upstream
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git rebase upstream/main
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git push origin <branch> --force
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```
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3. If the fork's run is healthy but the upstream check stays "queued" longer than ~15 minutes, the cron job in `update_build_status.yml` may have skipped a cycle — pushing a follow-up commit re-triggers `notify_test_workflow.yml` immediately.
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## How to format `.md` document
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We are using `prettier` to format `.md` files.

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