Sylvain Zimmer created SPARK-16802:
--------------------------------------
Summary: joins.LongToUnsafeRowMap crashes with
ArrayIndexOutOfBoundsException
Key: SPARK-16802
URL: https://issues.apache.org/jira/browse/SPARK-16802
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0, 2.0.1
Reporter: Sylvain Zimmer
Hello!
This is a little similar to
[SPARK-16740|https://issues.apache.org/jira/browse/SPARK-16740] (should I have
reopened it?).
I would recommend to give another full review to {{HashedRelation.scala}},
particularly the new {{LongToUnsafeRowMap}} code. I've had a few other errors
that I haven't managed to reproduce so far, as well as what I suspect could be
memory leaks (I have a query in a loop OOMing after a few iterations despite
not caching its results).
Here is the script to reproduce the ArrayIndexOutOfBoundsException on the
current 2.0 branch:
{{code}}
import os
import random
from pyspark import SparkContext
from pyspark.sql import types as SparkTypes
from pyspark.sql import SQLContext
sc = SparkContext()
sqlc = SQLContext(sc)
schema1 = SparkTypes.StructType([
SparkTypes.StructField("id1", SparkTypes.LongType(), nullable=True),
# SparkTypes.StructField("weight1", SparkTypes.FloatType(), nullable=True)
])
schema2 = SparkTypes.StructType([
SparkTypes.StructField("id2", SparkTypes.LongType(), nullable=True),
# SparkTypes.StructField("weight2", SparkTypes.LongType(), nullable=True)
])
def randlong():
return random.randint(-9223372036854775808, 9223372036854775807)
while True:
l1, l2 = randlong(), randlong()
# Sample values that crash:
# l1, l2 = 4661454128115150227, -5543241376386463808
print "Testing with %s, %s" % (l1, l2)
data1 = [(l1, ), (l2, )]
data2 = [(l1, )]
df1 = sqlc.createDataFrame(sc.parallelize(data1), schema1)
df2 = sqlc.createDataFrame(sc.parallelize(data2), schema2)
crash = True
if crash:
os.system("rm -rf /tmp/sparkbug")
df1.write.parquet("/tmp/sparkbug/vertex")
df2.write.parquet("/tmp/sparkbug/edge")
df1 = sqlc.read.load("/tmp/sparkbug/vertex")
df2 = sqlc.read.load("/tmp/sparkbug/edge")
sqlc.registerDataFrameAsTable(df1, "df1")
sqlc.registerDataFrameAsTable(df2, "df2")
result_df = sqlc.sql("""
SELECT
df1.id1
FROM df1
LEFT OUTER JOIN df2 ON df1.id1 = df2.id2
""")
print result_df.collect()
{{code}}
{{code}}
java.lang.ArrayIndexOutOfBoundsException: 1728150825
at
org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463)
at
org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:117)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:112)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.to(SerDeUtil.scala:112)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toBuffer(SerDeUtil.scala:112)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toArray(SerDeUtil.scala:112)
at
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:899)
at
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:899)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1898)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1898)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:85)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/07/29 20:19:00 WARN TaskSetManager: Lost task 0.0 in stage 17.0 (TID 50,
localhost): java.lang.ArrayIndexOutOfBoundsException: 1728150825
at
org.apache.spark.sql.execution.joins.LongToUnsafeRowMap.getValue(HashedRelation.scala:463)
at
org.apache.spark.sql.execution.joins.LongHashedRelation.getValue(HashedRelation.scala:762)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.hasNext(SerDeUtil.scala:117)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.foreach(SerDeUtil.scala:112)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.to(SerDeUtil.scala:112)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toBuffer(SerDeUtil.scala:112)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
at
org.apache.spark.api.python.SerDeUtil$AutoBatchedPickler.toArray(SerDeUtil.scala:112)
at
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:899)
at
org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:899)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1898)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1898)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:85)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
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)
{{code}}
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