[CI] Split Spark lake tests to reduce pipeline time#3717
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Purpose
Related issue: #3273
The Spark 3 CI lanes currently run the same 264-test suite for both Scala 2.12 and Scala 2.13. Most of the runtime is spent in lake integration tests, while the Spark 3.4 and 3.5 wrapper modules finish quickly.
Following the CI-stage splitting approach in #3692 and the representative-version coverage strategy described in #3273, this change keeps complete Spark coverage on Scala 2.12 while using Scala 2.13 as a non-lake compatibility lane. This reduces duplicated work and lowers the risk of Spark jobs approaching the CI timeout as more tests are added.
Brief change log
SparkLakeTestScalaTest tag and apply it to the four Paimon and Iceberg lake suites.spark3(214 non-lake tests) andspark3-lake(50 lake tests), which run as independent matrix jobs.spark3-scala213as a 214-test non-lake compatibility lane.spark3-laketo the existingtest-spark3coverage profile.Tests
bash -n .github/workflows/stage.shspark3: 214 testsspark3-lake: 50 testsspark3-scala213: 214 testsAPI and Format
No public API or storage format changes.
Documentation
No documentation changes. This change only updates CI configuration and Spark test grouping.
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