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[HUDI-1847] Adding inline scheduling support for spark datasource path for compaction and clustering (#4420)

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- This adds support in spark-datasource to just schedule table services inline so that users can leverage async execution w/o the need for lock service providers.
This commit is contained in:
Sivabalan Narayanan
2022-02-10 08:04:55 -05:00
committed by GitHub
parent b3b44236fe
commit 0ababcfaa7
10 changed files with 204 additions and 18 deletions
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hudi-client/hudi-client-common/src/test/java/org/apache/hudi/config/TestHoodieWriteConfig.java
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@@ -167,7 +167,7 @@ public class TestHoodieWriteConfig {
}
});
assertFalse(writeConfig.areAnyTableServicesAsync());
assertTrue(writeConfig.areAnyTableServicesInline());
assertTrue(writeConfig.areAnyTableServicesExecutedInline());
assertEquals(HoodieLockConfig.LOCK_PROVIDER_CLASS_NAME.defaultValue(), writeConfig.getLockProviderClass());
// 5. User override for the lock provider should always take the precedence