amogh-jahagirdar commented on code in PR #13310:
URL: https://github.com/apache/iceberg/pull/13310#discussion_r2192811369
##########
spark/v4.0/spark/src/main/java/org/apache/iceberg/spark/source/SparkWrite.java:
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@@ -699,29 +708,41 @@ public DataWriter<InternalRow> createWriter(int
partitionId, long taskId, long e
writeSchema,
dsSchema,
targetFileSize,
- useFanoutWriter);
+ useFanoutWriter,
+ extractRowLineage);
}
}
}
private static class UnpartitionedDataWriter implements
DataWriter<InternalRow> {
private final FileWriter<InternalRow, DataWriteResult> delegate;
private final FileIO io;
+ private final Function<InternalRow, InternalRow>
extractRowLineageFromMetadata;
private UnpartitionedDataWriter(
SparkFileWriterFactory writerFactory,
OutputFileFactory fileFactory,
FileIO io,
PartitionSpec spec,
- long targetFileSize) {
+ long targetFileSize,
+ Function<InternalRow, InternalRow> extractRowLineageFromMetadata) {
this.delegate =
new RollingDataWriter<>(writerFactory, fileFactory, io,
targetFileSize, spec, null);
this.io = io;
+ this.extractRowLineageFromMetadata = extractRowLineageFromMetadata;
}
@Override
public void write(InternalRow record) throws IOException {
- delegate.write(record);
+ write(null, record);
Review Comment:
Yeah basically what @nastra said, this is delegating to the new Spark DSV2
writer write(InternalRow meta, InternalRow data) API where the first row is the
metadata row, and I pass through null to indicate that there is no metadata for
this existing Write(record) API.
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