Question

我有一个spark sql perforce count与groupingsets，likt

不同

select
a,
b,
c,
count(distinct d) as d,
count(distinct e) as e
from
table
where
a=x
group by
a,b,c
groupingsets
((a),(ab),(ac),(abc))

但有时这项工作会出现异常

17/08/04 10:35:31 ERROR ApplicationMaster: User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 21 in stage 2.0 failed 4 times, most recent failure: Lost task 21.3 in stage 2.0 (TID 1261, rz-data-hdp-dn0158.rz.sankuai.com, executor 124): java.lang.NullPointerException
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
    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$$anonfun$10$$anon$2.hasNext(WholeStageCodegenExec.scala:396)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

我无法从此例外中获取任何有用的信息。

我使用的火花版本是2.1

这是一个火花的错误吗？或者我需要修改什么？

Answer 1

我将火花版本从2.1更改为2.2，问题解决了。这似乎是在2.1.1版本及之后修复的错误 https://issues.apache.org/jira/browse/SPARK-19037

执行count with distinct with groupingsets时出现Spark代码错误

1 个答案: