danielhumanmod commented on code in PR #518:
URL: https://github.com/apache/incubator-xtable/pull/518#discussion_r1722664802
##########
xtable-core/src/test/java/org/apache/xtable/iceberg/TestIcebergDataHelper.java:
##########
@@ -99,7 +99,9 @@ public class TestIcebergDataHelper {
NestedField.optional(
28, "timestamp_micros_nullable_field",
Types.TimestampType.withZone()),
NestedField.optional(
- 30, "timestamp_local_micros_nullable_field",
Types.TimestampType.withoutZone()));
+ 30, "timestamp_local_micros_nullable_field",
Types.TimestampType.withoutZone()),
+ NestedField.optional(33, "uuid_field", Types.UUIDType.get())
Review Comment:
Hi @the-other-tim-brown ,After adding the new line to `COMMON_FIELDS`, I
encountered an error when converting from Iceberg to Hudi during the
`ITConversionController` test. I’m wondering if this issue might be due to a
missing configuration (like need to updated the generated datasource
somewhere?) or if there is something specific I should be aware of in this
context.
If you could provide some guidance or context on this, it would be greatly
appreciated.
```
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 134.0 failed 1 times, most recent failure: Lost task 0.0 in stage 134.0
(TID 571) (10.0.0.119 executor driver): org.apache.spark.sql.AnalysisException:
Illegal Parquet type: FIXED_LEN_BYTE_ARRAY (UUID).
at
org.apache.spark.sql.errors.QueryCompilationErrors$.illegalParquetTypeError(QueryCompilationErrors.scala:1762)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.illegalType$1(ParquetSchemaConverter.scala:206)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.$anonfun$convertPrimitiveField$2(ParquetSchemaConverter.scala:310)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convertPrimitiveField(ParquetSchemaConverter.scala:224)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convertField(ParquetSchemaConverter.scala:187)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.$anonfun$convertInternal$3(ParquetSchemaConverter.scala:147)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.$anonfun$convertInternal$3$adapted(ParquetSchemaConverter.scala:117)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convertInternal(ParquetSchemaConverter.scala:117)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.convert(ParquetSchemaConverter.scala:87)
at
org.apache.spark.sql.execution.datasources.parquet.HoodieParquetFileFormatHelper$.buildImplicitSchemaChangeInfo(HoodieParquetFileFormatHelper.scala:31)
at
org.apache.spark.sql.execution.datasources.parquet.Spark34LegacyHoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark34LegacyHoodieParquetFileFormat.scala:254)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:231)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:293)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:101)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
at org.apache.spark.scheduler.Task.run(Task.scala:139)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1529)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
```
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