[spark][test] Use explicit Paimon provider in feature tests - #9145
Open
Zouxxyy wants to merge 1 commit into
Open
[spark][test] Use explicit Paimon provider in feature tests#9145Zouxxyy wants to merge 1 commit into
Zouxxyy wants to merge 1 commit into
Conversation
Make chain table, data evolution, and multimodal tests declare USING paimon instead of relying on Hive SerDe or the session catalog implicit provider. Co-Authored-By: Claude Code <noreply@anthropic.com> Co-Authored-By: Codex <noreply@openai.com> AI-Model: gpt-5.6-sol AI-Contributed/Feature: 0/0 AI-Contributed/UT: 69/69
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Purpose
Use explicit
USING paimonin Spark integration tests for Paimon-specific chain tables, data evolution, and multimodal tables.This removes their dependency on Hive SerDe syntax and the session catalog's implicit table provider while preserving the dedicated Hive compatibility tests.
Tests
mvn spotless:apply -Pspark3mvn -T 4 -pl paimon-spark/paimon-spark-ut -am -Pspark3,fast-build -DskipTests packagemvn -pl paimon-spark/paimon-spark-ut -am -Pspark3,fast-build -DwildcardSuites=none -DfailIfNoTests=false -Dsurefire.failIfNoSpecifiedTests=false -Dflink.forkCount=1 -Dtest=SparkChainTableITCase,SparkDataEvolutionITCase,SparkMultimodalITCase test(13 tests passed)