yihua commented on code in PR #12395:
URL: https://github.com/apache/hudi/pull/12395#discussion_r1866471426
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hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/MultipleSparkJobExecutionStrategy.java:
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@@ -263,14 +286,21 @@ private CompletableFuture<HoodieData<WriteStatus>>
runClusteringForGroupAsyncAsR
String instantTime,
ExecutorService clusteringExecutorService) {
return CompletableFuture.supplyAsync(() -> {
- JavaSparkContext jsc =
HoodieSparkEngineContext.getSparkContext(getEngineContext());
- Dataset<Row> inputRecords = readRecordsForGroupAsRow(jsc,
clusteringGroup, instantTime);
- Schema readerSchema = HoodieAvroUtils.addMetadataFields(new
Schema.Parser().parse(getWriteConfig().getSchema()));
+ JavaSparkContext jsc =
HoodieSparkEngineContext.getSparkContext(getEngineContext()); // incase of
MIT, config.getSchema may not contain the full table schema
+ Schema tableSchemaWithMetaFields = null;
+ try {
+ tableSchemaWithMetaFields = HoodieAvroUtils.addMetadataFields(new
TableSchemaResolver(getHoodieTable().getMetaClient()).getTableAvroSchema(false),
Review Comment:
`getTableAvroSchema(true)` does the same of getting the table schema with
meta fields?
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