Description
After upgrading spark versrion to 3.0.0-SNAPSHOT. Selecting parquet columns got exception in case insensitive manner. Even we set spark.sql.caseSensitive to false. Reading parquet with case ignored schema (which means columns in parquet and catalyst types are same with respect to case insensitive manner)
To reproduce error executing follow code cause java.lang.IllegalArgumentException
import org.apache.spark.sql.types._ val path = "/some/temp/path" spark .range(1L) .selectExpr("NAMED_STRUCT('lowercase', id, 'camelCase', id + 1) AS StructColumn") .write.parquet(path) val caseInsensitiveSchema = new StructType() .add( "StructColumn", new StructType() .add("LowerCase", LongType) .add("camelcase", LongType)) spark.read.schema(caseInsensitiveSchema).parquet(path).show()
Then we got following error.
23:57:09.077 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 215.0 (TID 366)23:57:09.077 ERROR org.apache.spark.executor.Executor: Exception in task 0.0 in stage 215.0 (TID 366)java.lang.IllegalArgumentException: lowercase does not exist. Available: LowerCase, camelcase at org.apache.spark.sql.types.StructType.$anonfun$fieldIndex$1(StructType.scala:306) at scala.collection.immutable.Map$Map2.getOrElse(Map.scala:147) at org.apache.spark.sql.types.StructType.fieldIndex(StructType.scala:305) at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.$anonfun$fieldConverters$1(ParquetRowConverter.scala:182) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.<init>(ParquetRowConverter.scala:181) at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.org$apache$spark$sql$execution$datasources$parquet$ParquetRowConverter$$newConverter(ParquetRowConverter.scala:351) at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.$anonfun$fieldConverters$1(ParquetRowConverter.scala:185) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.<init>(ParquetRowConverter.scala:181) at org.apache.spark.sql.execution.datasources.parquet.ParquetRecordMaterializer.<init>(ParquetRecordMaterializer.scala:43) at org.apache.spark.sql.execution.datasources.parquet.ParquetReadSupport.prepareForRead(ParquetReadSupport.scala:130) at org.apache.parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:204) at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:182) at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(ParquetFileFormat.scala:341) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1804) at org.apache.spark.rdd.RDD.$anonfun$count$1(RDD.scala:1229) at org.apache.spark.rdd.RDD.$anonfun$count$1$adapted(RDD.scala:1229) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2144) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:460) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:463) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)
I think from 3.0.0, `org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter` does not have equal number of fields between parquetRequestedSchema and catalystRequestedSchema (https://github.com/apache/spark/pull/22880). So we consider case sensitivity in ParquetRowConverter or some related classes.
Attachments
Issue Links
- is caused by
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SPARK-25407 Spark throws a `ParquetDecodingException` when attempting to read a field from a complex type in certain cases of schema merging
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- Resolved
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- is related to
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- Resolved
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- relates to
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SPARK-26402 Accessing nested fields with different cases in case insensitive mode
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- Resolved
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- links to