hvanhovell commented on code in PR #38659:
URL: https://github.com/apache/spark/pull/38659#discussion_r1029714730
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connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
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@@ -271,8 +273,12 @@ class SparkConnectPlanner(session: SparkSession) {
}
private def transformLocalRelation(rel: proto.LocalRelation): LogicalPlan = {
- val attributes =
rel.getAttributesList.asScala.map(transformAttribute(_)).toSeq
- new org.apache.spark.sql.catalyst.plans.logical.LocalRelation(attributes)
+ val (rows, structType) = ArrowConverters.fromBatchWithSchemaIterator(
+ Seq(rel.getData.toByteArray).iterator,
Review Comment:
We may want to do this the other way around right? The row count in the
current arrowbatch message is not needed, that information is already encoded
inside the Arrow IPC stream.
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