[
https://issues.apache.org/jira/browse/SPARK-6570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14383794#comment-14383794
]
Jon Chase commented on SPARK-6570:
----------------------------------
Stack trace for saveAsParquetFile():
{code}
root
|-- col1: string (nullable = false)
|-- col2s: array (nullable = true)
| |-- element: integer (containsNull = true)
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further
details.
ERROR org.apache.spark.executor.Executor Exception in task 7.0 in stage 1.0
(TID 15)
java.lang.ClassCastException: [I cannot be cast to scala.collection.Seq
at
org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:185)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at
parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
~[parquet-hadoop-1.6.0rc3.jar:na]
at
parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
~[parquet-hadoop-1.6.0rc3.jar:na]
at
parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
~[parquet-hadoop-1.6.0rc3.jar:na]
at
org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:631)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
~[spark-sql_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.scheduler.Task.run(Task.scala:64)
~[spark-core_2.10-1.3.0.jar:1.3.0]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
~[spark-core_2.10-1.3.0.jar:1.3.0]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
[na:1.8.0_31]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
[na:1.8.0_31]
at java.lang.Thread.run(Thread.java:745) [na:1.8.0_31]
WARN o.a.spark.scheduler.TaskSetManager Lost task 7.0 in stage 1.0 (TID 15,
localhost): java.lang.ClassCastException: [I cannot be cast to
scala.collection.Seq
at
org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:185)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
at
parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
at
org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:631)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR o.a.spark.scheduler.TaskSetManager Task 7 in stage 1.0 failed 1 times;
aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in
stage 1.0 failed 1 times, most recent failure: Lost task 7.0 in stage 1.0 (TID
15, localhost): java.lang.ClassCastException: [I cannot be cast to
scala.collection.Seq
at
org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:185)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
at
org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
at
parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
at
org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:631)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
at
org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:648)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
{code}
> Spark SQL "explode()" fails, assumes underlying SQL array is represented by
> Scala Seq
> -------------------------------------------------------------------------------------
>
> Key: SPARK-6570
> URL: https://issues.apache.org/jira/browse/SPARK-6570
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Jon Chase
>
> {code}
> @Rule
> public TemporaryFolder tmp = new TemporaryFolder();
> @Test
> public void testPercentileWithExplode() throws Exception {
> StructType schema = DataTypes.createStructType(Lists.newArrayList(
> DataTypes.createStructField("col1", DataTypes.StringType,
> false),
> DataTypes.createStructField("col2s",
> DataTypes.createArrayType(DataTypes.IntegerType, true), true)
> ));
> JavaRDD<Row> rowRDD = sc.parallelize(Lists.newArrayList(
> RowFactory.create("test", new int[]{1, 2, 3})
> ));
> DataFrame df = sql.createDataFrame(rowRDD, schema);
> df.registerTempTable("df");
> df.printSchema();
> List<int[]> ints = sql.sql("select col2s from df").javaRDD()
> .map(row -> (int[]) row.get(0)).collect();
> assertEquals(1, ints.size());
> assertArrayEquals(new int[]{1, 2, 3}, ints.get(0));
> // fails: lateral view explode does not work:
> java.lang.ClassCastException: [I cannot be cast to scala.collection.Seq
> List<Integer> explodedInts = sql.sql("select col2 from df lateral
> view explode(col2s) splode as col2").javaRDD()
> .map(row -> row.getInt(0)).collect();
> assertEquals(3, explodedInts.size());
> assertEquals(Lists.newArrayList(1, 2, 3), explodedInts);
> // fails: java.lang.ClassCastException: [I cannot be cast to
> scala.collection.Seq
> df.saveAsParquetFile(tmp.getRoot().getAbsolutePath() + "/parquet");
> DataFrame loadedDf = sql.load(tmp.getRoot().getAbsolutePath() +
> "/parquet");
> loadedDf.registerTempTable("loadedDf");
> List<int[]> moreInts = sql.sql("select col2s from loadedDf").javaRDD()
> .map(row -> (int[]) row.get(0)).collect();
> assertEquals(1, moreInts.size());
> assertArrayEquals(new int[]{1, 2, 3}, moreInts.get(0));
> }
> {code}
> {code}
> root
> |-- col1: string (nullable = false)
> |-- col2s: array (nullable = true)
> | |-- element: integer (containsNull = true)
> ERROR org.apache.spark.executor.Executor Exception in task 7.0 in stage 1.0
> (TID 15)
> java.lang.ClassCastException: [I cannot be cast to scala.collection.Seq
> at
> org.apache.spark.sql.catalyst.expressions.Explode.eval(generators.scala:125)
> ~[spark-catalyst_2.10-1.3.0.jar:1.3.0]
> at
> org.apache.spark.sql.execution.Generate$$anonfun$2$$anonfun$apply$1.apply(Generate.scala:70)
> ~[spark-sql_2.10-1.3.0.jar:1.3.0]
> at
> org.apache.spark.sql.execution.Generate$$anonfun$2$$anonfun$apply$1.apply(Generate.scala:69)
> ~[spark-sql_2.10-1.3.0.jar:1.3.0]
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> ~[scala-library-2.10.4.jar:na]
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> ~[scala-library-2.10.4.jar:na]
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> ~[scala-library-2.10.4.jar:na]
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> ~[scala-library-2.10.4.jar:na]
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> ~[scala-library-2.10.4.jar:na]
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> ~[scala-library-2.10.4.jar:na]
> {code}
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