Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15868#discussion_r87910285
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
---
@@ -667,7 +667,14 @@ object JdbcUtils extends Logging {
val getConnection: () => Connection = createConnectionFactory(options)
val batchSize = options.batchSize
val isolationLevel = options.isolationLevel
- df.foreachPartition(iterator => savePartition(
+ val numPartitions = options.numPartitions
+ val repartitionedDF =
+ if (numPartitions != null && numPartitions.toInt !=
df.rdd.getNumPartitions) {
--- End diff --
Normally, based on my understanding, users only cares the maximal number of
connections. Thus, no need to repartition it when `numPartitions.toInt >=
df.rdd.getNumPartitions`, right?
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