cloud-fan commented on code in PR #35395:
URL: https://github.com/apache/spark/pull/35395#discussion_r847980809
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala:
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@@ -85,12 +86,21 @@ object V2Writes extends Rule[LogicalPlan] with
PredicateHelper {
case WriteToMicroBatchDataSource(
relation, table, query, queryId, writeOptions, outputMode,
Some(batchId)) =>
- val writeBuilder = newWriteBuilder(table, query, writeOptions, queryId)
+ val writeBuilder = newWriteBuilder(table, writeOptions, query.schema,
queryId)
val write = buildWriteForMicroBatch(table, writeBuilder, outputMode)
val microBatchWrite = new MicroBatchWrite(batchId, write.toStreaming)
val customMetrics = write.supportedCustomMetrics.toSeq
val newQuery = DistributionAndOrderingUtils.prepareQuery(write, query,
conf)
WriteToDataSourceV2(relation, microBatchWrite, newQuery, customMetrics)
+
+ case rd @ ReplaceData(r: DataSourceV2Relation, _, query, _, None) =>
+ val rowSchema = StructType.fromAttributes(rd.dataInput)
Review Comment:
Can we simply use `rd.originalTable.output`?
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