danny0405 commented on code in PR #11069:
URL: https://github.com/apache/hudi/pull/11069#discussion_r1575652974
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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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@@ -361,7 +369,15 @@ private HoodieData<HoodieRecord<T>>
readRecordsForGroupBaseFiles(JavaSparkContex
List<Iterator<HoodieRecord<T>>> iteratorsForPartition = new
ArrayList<>();
clusteringOpsPartition.forEachRemaining(clusteringOp -> {
try {
- Schema readerSchema = HoodieAvroUtils.addMetadataFields(new
Schema.Parser().parse(writeConfig.getSchema()));
+ TableSchemaResolver schemaUtil = new
TableSchemaResolver(getHoodieTable().getMetaClient());
+ Schema readerSchema;
+ try {
+ readerSchema = schemaUtil.getTableAvroSchema(true);
+ } catch (Exception e) {
+ LOG.warn(e.getMessage());
+ readerSchema = HoodieAvroUtils.addMetadataFields(new
Schema.Parser().parse(writeConfig.getSchema()));
+ }
Review Comment:
So we are using the latest table schema for clustering, that makes sense to
me.
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