aokolnychyi commented on a change in pull request #3171:
URL: https://github.com/apache/iceberg/pull/3171#discussion_r715731699
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File path: spark3/src/main/java/org/apache/iceberg/spark/source/SparkWrite.java
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@@ -538,68 +543,128 @@ protected WriterFactory(Broadcast<Table> tableBroadcast,
FileFormat format, long
@Override
public DataWriter<InternalRow> createWriter(int partitionId, long taskId,
long epochId) {
Table table = tableBroadcast.value();
-
- OutputFileFactory fileFactory = OutputFileFactory.builderFor(table,
partitionId, taskId).format(format).build();
- SparkAppenderFactory appenderFactory =
SparkAppenderFactory.builderFor(table, writeSchema, dsSchema).build();
-
PartitionSpec spec = table.spec();
FileIO io = table.io();
+ OutputFileFactory fileFactory = OutputFileFactory.builderFor(table,
partitionId, taskId)
+ .format(format)
+ .build();
+ SparkFileWriterFactory writerFactory =
SparkFileWriterFactory.builderFor(table)
+ .dataFileFormat(format)
+ .dataSchema(writeSchema)
+ .dataSparkType(dsSchema)
+ .build();
+
if (spec.isUnpartitioned()) {
- return new Unpartitioned3Writer(spec, format, appenderFactory,
fileFactory, io, targetFileSize);
+ ClusteredDataWriter<InternalRow> dataWriter = new
ClusteredDataWriter<>(
+ writerFactory, fileFactory, io,
+ format, targetFileSize);
+ return new UnpartitionedDataWriter(dataWriter, io, spec);
+
} else if (partitionedFanoutEnabled) {
- return new PartitionedFanout3Writer(
- spec, format, appenderFactory, fileFactory, io, targetFileSize,
writeSchema, dsSchema);
+ FanoutDataWriter<InternalRow> dataWriter = new FanoutDataWriter<>(
+ writerFactory, fileFactory, io,
+ format, targetFileSize);
+ return new PartitionedDataWriter(dataWriter, io, spec, writeSchema,
dsSchema);
+
} else {
- return new Partitioned3Writer(
- spec, format, appenderFactory, fileFactory, io, targetFileSize,
writeSchema, dsSchema);
+ ClusteredDataWriter<InternalRow> dataWriter = new
ClusteredDataWriter<>(
+ writerFactory, fileFactory, io,
+ format, targetFileSize);
+ return new PartitionedDataWriter(dataWriter, io, spec, writeSchema,
dsSchema);
}
}
}
- private static class Unpartitioned3Writer extends
UnpartitionedWriter<InternalRow>
- implements DataWriter<InternalRow> {
- Unpartitioned3Writer(PartitionSpec spec, FileFormat format,
SparkAppenderFactory appenderFactory,
- OutputFileFactory fileFactory, FileIO io, long
targetFileSize) {
- super(spec, format, appenderFactory, fileFactory, io, targetFileSize);
+ // TODO: why the old implementation throws throwFailureWhenFinished()?
Review comment:
I think it is purely a data writer abort, which is responsible for
writing data for a single task and it looks like Spark handles all exceptions
gracefully for such cases.
If I were to implement this from scratch, I'd probably go for a warning and
suppression. However, I am also worried about changing the behavior that worked
so far :)
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