[SPARK-14927] DataFrame. saveAsTable creates RDD partitions but not Hive partitions

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Affects Version/s: 1.5.2, 1.6.1
• Component/s: SQL
• Labels: bulk-closed

Environment

Mac OS X 10.11.4 local

• Assignee: Unassigned
• Reporter: Sasha Ovsankin
• Created: 26/Apr/16 19:10
• Updated: 21/May/19 04:17
• Resolved: 21/May/19 04:17

Description

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:

======================
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.