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[SPARK-18146] [SQL] Avoid using Union to chain together create table and repair partition commands #15665

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ericl wants to merge 5 commits into from
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[SPARK-18146] [SQL] Avoid using Union to chain together create table and repair partition commands #15665

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11fc8c4
avoid union
ericl Oct 27, 2016
310c5cb
Update DataFrameWriter.scala
ericl Oct 28, 2016
dd01f3a
Update DataFrameWriter.scala
ericl Oct 28, 2016
e8d28e1
Update DataFrameWriter.scala
ericl Oct 28, 2016
da00002
Fri Oct 28 11:31:14 PDT 2016
ericl Oct 28, 2016
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12 changes: 5 additions & 7 deletions sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -388,16 +388,14 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
partitionColumnNames = partitioningColumns.getOrElse(Nil),
bucketSpec = getBucketSpec
)
val createCmd = CreateTable(tableDesc, mode, Some(df.logicalPlan))
val cmd = if (tableDesc.partitionColumnNames.nonEmpty &&
df.sparkSession.sessionState.executePlan(
CreateTable(tableDesc, mode, Some(df.logicalPlan))).toRdd
if (tableDesc.partitionColumnNames.nonEmpty &&
df.sparkSession.sqlContext.conf.manageFilesourcePartitions) {
// Need to recover partitions into the metastore so our saved data is visible.
val recoverPartitionCmd = AlterTableRecoverPartitionsCommand(tableDesc.identifier)
Union(createCmd, recoverPartitionCmd)
} else {
createCmd
df.sparkSession.sessionState.executePlan(
AlterTableRecoverPartitionsCommand(tableDesc.identifier)).toRdd
}
df.sparkSession.sessionState.executePlan(cmd).toRdd
}
}

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