brkyvz commented on a change in pull request #25651: [SPARK-28948][SQL] support
data source v2 in CREATE TABLE USING
URL: https://github.com/apache/spark/pull/25651#discussion_r321889377
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File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
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@@ -216,7 +216,7 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
val finalOptions = sessionOptions ++ extraOptions.toMap ++ pathsOption
val dsOptions = new CaseInsensitiveStringMap(finalOptions.asJava)
val table = userSpecifiedSchema match {
- case Some(schema) => provider.getTable(dsOptions, schema)
+ case Some(schema) => provider.getTable(dsOptions, schema, Array.empty)
Review comment:
yeah, this is one of the most annoying and confusing behaviors of
DataSourceV1. Being able to provide a schema but not partitioning information,
which leads to minutes of partition schema inference.
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