James Willis created SPARK-48942:
------------------------------------
Summary: Reading parquet with Array of Structs of UDTs throws
Exception
Key: SPARK-48942
URL: https://issues.apache.org/jira/browse/SPARK-48942
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.5.1, 3.4.0
Reporter: James Willis
When reading parquet files that have a column that is an Array of Structs where
the Struct contains a UDT, the read fails. We have repro'd this is 3.4.0 and
3.5.1.
I see this might be some related work on Supporting UDTs in parquet:
https://issues.apache.org/jira/browse/SPARK-39086
I'm trying to create a UDT to repro this without sedona
I discovered this when using Apache Sedona. Here is my minimal reproducible
example:
{code:java}
sedona.sql("""
SELECT ARRAY(STRUCT(ST_POINT(1.0, 1.1)))
""").write.mode("overwrite").format("parquet").save(test_read_write_path)df =
sedona.read.format("parquet").load(test_read_write_path)
df.show() {code}
This gives the following stack trace:
{code:java}
24/07/19 03:31:23 WARN TaskSetManager: Lost task 0.0 in stage 22.0 (TID 24)
(10.0.133.128 executor 1): java.lang.IllegalArgumentException: Spark type:
StructType(StructField(col1,BinaryType,true)) doesn't match the type:
StructType(StructField(col1,org.apache.spark.sql.sedona_sql.UDT.GeometryUDT@5b138d06,true))
in column vector
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:69)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:116)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:272)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:292)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(ParquetFileFormat.scala:286)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:228)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:290)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
at
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:594)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
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(Unknown
Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.base/java.lang.Thread.run(Unknown Source)
24/07/19 03:31:23 WARN TaskSetManager: Lost task 0.1 in stage 22.0 (TID 25)
(10.0.183.100 executor 5): java.lang.IllegalArgumentException: Spark type:
StructType(StructField(col1,BinaryType,true)) doesn't match the type:
StructType(StructField(col1,org.apache.spark.sql.sedona_sql.UDT.GeometryUDT@239780ef,true))
in column vector
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:69)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:116)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:272)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:292)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(ParquetFileFormat.scala:286)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:228)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:290)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
at
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:594)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
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$TaskRunner.run(Executor.scala:557)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.base/java.lang.Thread.run(Unknown Source)
24/07/19 03:31:24 WARN TaskSetManager: Lost task 0.2 in stage 22.0 (TID 26)
(10.0.137.49 executor 3): java.lang.IllegalArgumentException: Spark type:
StructType(StructField(col1,BinaryType,true)) doesn't match the type:
StructType(StructField(col1,org.apache.spark.sql.sedona_sql.UDT.GeometryUDT@54e7b6bf,true))
in column vector
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:69)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:116)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:272)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:292)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(ParquetFileFormat.scala:286)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:228)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:290)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:125)
at
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:594)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:888)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:888)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
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$TaskRunner.run(Executor.scala:557)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.base/java.lang.Thread.run(Unknown Source) {code}
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