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From "Pete Robbins (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17827) StatisticsColumnSuite failures on big endian platforms
Date Wed, 12 Oct 2016 15:33:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15569048#comment-15569048
] 

Pete Robbins commented on SPARK-17827:
--------------------------------------

So this looks like the max field is being written as an Int into the UnsafeRow but is later
read as a Long. Code stack to the write:

java.lang.Thread.dumpStack(Thread.java:462)
	at org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:149)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateResultProjection$1.apply(AggregationIterator.scala:232)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$generateResultProjection$1.apply(AggregationIterator.scala:221)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.next(TungstenAggregationIterator.scala:392)
	at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.next(TungstenAggregationIterator.scala:79)
	at scala.collection.Iterator$class.foreach(Iterator.scala:893)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator.foreach(AggregationIterator.scala:35)
	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$class.to(TraversableOnce.scala:310)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator.to(AggregationIterator.scala:35)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator.toBuffer(AggregationIterator.scala:35)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
	at org.apache.spark.sql.execution.aggregate.AggregationIterator.toArray(AggregationIterator.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:912)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:912)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1927)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1927)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1153)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	at java.lang.Thread.run(Thread.java:785)

> StatisticsColumnSuite failures on big endian platforms
> ------------------------------------------------------
>
>                 Key: SPARK-17827
>                 URL: https://issues.apache.org/jira/browse/SPARK-17827
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>         Environment: big endian
>            Reporter: Pete Robbins
>              Labels: big-endian
>
> https://issues.apache.org/jira/browse/SPARK-17073
> introduces new tests/function that fails on big endian platforms
> Failing tests:
>  org.apache.spark.sql.StatisticsColumnSuite.column-level statistics for string column
>  org.apache.spark.sql.StatisticsColumnSuite.column-level statistics for binary column
>  org.apache.spark.sql.StatisticsColumnSuite.column-level statistics for columns with
different types
>  org.apache.spark.sql.hive.StatisticsSuite.generate column-level statistics and load
them from hive metastore
> all fail in checkColStat eg: 
> java.lang.AssertionError: assertion failed
>       at scala.Predef$.assert(Predef.scala:156)
>       at org.apache.spark.sql.StatisticsTest$.checkColStat(StatisticsTest.scala:92)
>       at org.apache.spark.sql.StatisticsTest$$anonfun$checkColStats$1$$anonfun$apply$mcV$sp$1.apply(StatisticsTest.scala:43)
>       at org.apache.spark.sql.StatisticsTest$$anonfun$checkColStats$1$$anonfun$apply$mcV$sp$1.apply(StatisticsTest.scala:40)
>       at scala.collection.immutable.List.foreach(List.scala:381)
>       at org.apache.spark.sql.StatisticsTest$$anonfun$checkColStats$1.apply$mcV$sp(StatisticsTest.scala:40)
>       at org.apache.spark.sql.test.SQLTestUtils$class.withTable(SQLTestUtils.scala:168)
>       at org.apache.spark.sql.StatisticsColumnSuite.withTable(StatisticsColumnSuite.scala:30)
>       at org.apache.spark.sql.StatisticsTest$class.checkColStats(StatisticsTest.scala:33)
>       at org.apache.spark.sql.StatisticsColumnSuite.checkColStats(StatisticsColumnSuite.scala:30)
>       at org.apache.spark.sql.StatisticsColumnSuite$$anonfun$7.apply$mcV$sp(StatisticsColumnSuite.scala:171)
>       at org.apache.spark.sql.StatisticsColumnSuite$$anonfun$7.apply(StatisticsColumnSuite.scala:160)
>       at org.apache.spark.sql.StatisticsColumnSuite$$anonfun$7.apply(StatisticsColumnSuite.scala:160)



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