Thomas Sebastian created SPARK-18626:
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Summary: Concurrent write to table fails from spark
Key: SPARK-18626
URL: https://issues.apache.org/jira/browse/SPARK-18626
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.0
Reporter: Thomas Sebastian
When a spark job is submitted twice, to execute concurrently using spark
summit, both the jobs are failing, not allowing concurrent write(Append) to
Hive tables.
ERROR InsertIntoHadoopFsRelation: Aborting job.
java.io.IOException: Failed to rename
FileStatus{path=hdfs://nameservice1/user/hive/warehouse/aaa.db/table1/_temporary/0/task_201611210639_0017_m_000050/part-r-00050-00e873af-e3ab-4730-881f-e8a1b22077e0.gz.parquet;
isDirectory=false; length=492; replication=3; blocksize=134217728;
modification_time=1479728364366; access_time=1479728364062;
owner=name; group=hive; permission=rw-rw-r--; isSymlink=false} to
hdfs://nameservice1/user/hive/warehouse/aaa.db/table1t/part-r-00050-00e873af-e3ab-4730-881f-e8a1b22077e0.gz.parquet
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:371)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:384)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:326)
at
parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:46)
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