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https://issues.apache.org/jira/browse/SPARK-17827?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15571881#comment-15571881
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Zhenhua Wang commented on SPARK-17827:
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[~srowen] Thanks for notification. [~robbinspg] It's strange I didn't receive
your email, sorry for this late response.
I think we hit a bug here, the maxColLen should be Int type because the return
type for the `Length` aggregate function is Int.
But I don't have a big endian platform to verify this, is it ok for me to
create a pr and let you to rerun the test suite using my branch?
> 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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