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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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