xiarixiaoyao commented on code in PR #4910:
URL: https://github.com/apache/hudi/pull/4910#discussion_r1014970711
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hudi-client/hudi-client-common/src/main/java/org/apache/hudi/table/action/commit/HoodieMergeHelper.java:
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@@ -78,12 +90,41 @@ public void runMerge(HoodieTable<T,
HoodieData<HoodieRecord<T>>, HoodieData<Hood
BoundedInMemoryExecutor<GenericRecord, GenericRecord, Void> wrapper = null;
HoodieFileReader<GenericRecord> reader =
HoodieFileReaderFactory.getFileReader(cfgForHoodieFile,
mergeHandle.getOldFilePath());
+
+ Option<InternalSchema> querySchemaOpt =
SerDeHelper.fromJson(table.getConfig().getInternalSchema());
+ boolean needToReWriteRecord = false;
+ // TODO support bootstrap
+ if (querySchemaOpt.isPresent() &&
!baseFile.getBootstrapBaseFile().isPresent()) {
+ // check implicitly add columns, and position reorder(spark sql may
change cols order)
+ InternalSchema querySchema =
AvroSchemaEvolutionUtils.evolveSchemaFromNewAvroSchema(readSchema,
querySchemaOpt.get(), true);
Review Comment:
1) querySchema is the latest table schema which parsed from commit file.
eg: a int, b string, c int
2) readSchema is write schema(from dataFrame) by defalut, eg: a int, b
string, c int, d string, e string
3) we do evolution to get the final schema, eg: a int, b string, c int, d
string, e string
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