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Posted to issues@spark.apache.org by "Sasha Ovsankin (JIRA)" <ji...@apache.org> on 2016/04/26 21:11:12 UTC
[jira] [Created] (SPARK-14927) DataFrame. saveAsTable creates RDD
partitions but not Hive partitions
Sasha Ovsankin created SPARK-14927:
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Summary: DataFrame. saveAsTable creates RDD partitions but not Hive partitions
Key: SPARK-14927
URL: https://issues.apache.org/jira/browse/SPARK-14927
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.1, 1.5.2
Environment: Mac OS X 10.11.4 local
Reporter: Sasha Ovsankin
This is a followup to http://stackoverflow.com/questions/31341498/save-spark-dataframe-as-dynamic-partitioned-table-in-hive . I tried to use suggestions in the answers but couldn't make it to work in Spark 1.6.1
I am trying to create partitions programmatically from `DataFrame. Here is the relevant code (adapted from a Spark test):
hc.setConf("hive.metastore.warehouse.dir", "tmp/tests")
// hc.setConf("hive.exec.dynamic.partition", "true")
// hc.setConf("hive.exec.dynamic.partition.mode", "nonstrict")
hc.sql("create database if not exists tmp")
hc.sql("drop table if exists tmp.partitiontest1")
Seq(2012 -> "a").toDF("year", "val")
.write
.partitionBy("year")
.mode(SaveMode.Append)
.saveAsTable("tmp.partitiontest1")
hc.sql("show partitions tmp.partitiontest1").show
Full file is here: https://gist.github.com/SashaOv/7c65f03a51c7e8f9c9e018cd42aa4c4a
I get the error that the table is not partitioned:
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HIVE FAILURE OUTPUT
======================
SET hive.support.sql11.reserved.keywords=false
SET hive.metastore.warehouse.dir=tmp/tests
OK
OK
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. Table tmp.partitiontest1 is not a partitioned table
======================
It looks like the root cause is that `org.apache.spark.sql.hive.HiveMetastoreCatalog.newSparkSQLSpecificMetastoreTable` always creates table with empty partitions.
Any help to move this forward is appreciated.
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