geserdugarov commented on code in PR #12516:
URL: https://github.com/apache/hudi/pull/12516#discussion_r1893691006
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hudi-client/hudi-flink-client/src/main/java/org/apache/hudi/io/storage/row/HoodieRowDataCreateHandle.java:
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@@ -90,6 +91,7 @@ public HoodieRowDataCreateHandle(HoodieTable table,
HoodieWriteConfig writeConfi
this.fileId = fileId;
this.newRecordLocation = new HoodieRecordLocation(instantTime, fileId);
this.preserveHoodieMetadata = preserveHoodieMetadata;
+ this.skipMetadataWrite = skipMetadataWrite;
Review Comment:
@danny0405
I've added `ITTestHoodieDataSource::testWriteWithoutMetaColumns`. But for
proper checking, it would be great to write data by Flink, and then read it by
Spark, because in Spark
```SQL
SELECT * FROM table;
```
will return all columns including those with metadata.
And it would be really useful check of engines interoperability. I've
created a corresponding task HUDI-8788.
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