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Posted to issues@spark.apache.org by "Rivkin Andrey (JIRA)" <ji...@apache.org> on 2017/01/20 15:04:26 UTC

[jira] [Created] (SPARK-19312) Spark gives wrong error message when failes to create file due to hdfs quota limit.

Rivkin Andrey created SPARK-19312:
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             Summary: Spark gives wrong error message when failes to create file due to hdfs quota limit.
                 Key: SPARK-19312
                 URL: https://issues.apache.org/jira/browse/SPARK-19312
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.6.0
         Environment: CDH 5.8
            Reporter: Rivkin Andrey
            Priority: Minor


If we set quota on user space and then will try to create table through hive on spark, which will need more space then avaliable, spark will fail with: 

Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.protocol.AlreadyBeingCreatedException): failed to create file /user/xxxx/hive_db/.hive-staging_hive_..../_task_tmp.-ext-10003/_tmp.000030_0 for DFSClient_NONMAPREDUCE_-27052423_230 for client 192.168.x.x because current leaseholder is trying to recreate file.


If we will change hive execution engine to mr and execute the same command - create table, we will get:

Caused by: org.apache.hadoop.hdfs.protocol.DSQuotaExceededException: The DiskSpace quota of /user/xxxx is exceeded: quota = 10737418240 B = 10 GB but diskspace consumed = 11098812438 B = 10.34 GB

After increasing quota hive on spark is working. 
The problem is with log message, which is inaccurate and not helpful.




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