revans2 commented on a change in pull request #29067:
URL: https://github.com/apache/spark/pull/29067#discussion_r463737044
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala
##########
@@ -85,77 +241,96 @@ case class CachedRDDBuilder(
}
private def buildBuffers(): RDD[CachedBatch] = {
- val output = cachedPlan.output
- val cached = cachedPlan.execute().mapPartitionsInternal { rowIterator =>
- new Iterator[CachedBatch] {
- def next(): CachedBatch = {
- val columnBuilders = output.map { attribute =>
- ColumnBuilder(attribute.dataType, batchSize, attribute.name,
useCompression)
- }.toArray
-
- var rowCount = 0
- var totalSize = 0L
- while (rowIterator.hasNext && rowCount < batchSize
- && totalSize < ColumnBuilder.MAX_BATCH_SIZE_IN_BYTE) {
- val row = rowIterator.next()
-
- // Added for SPARK-6082. This assertion can be useful for
scenarios when something
- // like Hive TRANSFORM is used. The external data generation
script used in TRANSFORM
- // may result malformed rows, causing
ArrayIndexOutOfBoundsException, which is somewhat
- // hard to decipher.
- assert(
- row.numFields == columnBuilders.length,
- s"Row column number mismatch, expected ${output.size} columns, "
+
- s"but got ${row.numFields}." +
- s"\nRow content: $row")
-
- var i = 0
- totalSize = 0
- while (i < row.numFields) {
- columnBuilders(i).appendFrom(row, i)
- totalSize += columnBuilders(i).columnStats.sizeInBytes
- i += 1
- }
- rowCount += 1
- }
-
- sizeInBytesStats.add(totalSize)
- rowCountStats.add(rowCount)
-
- val stats = InternalRow.fromSeq(
- columnBuilders.flatMap(_.columnStats.collectedStatistics).toSeq)
- CachedBatch(rowCount, columnBuilders.map { builder =>
- JavaUtils.bufferToArray(builder.build())
- }, stats)
- }
-
- def hasNext: Boolean = rowIterator.hasNext
- }
+ val cb = if (cachedPlan.supportsColumnar) {
+ serializer.convertColumnarBatchToCachedBatch(
Review comment:
Yes and No. If you go through the front door and create an
`InMemoryRelation` using `InMemoryRelation.apply`, but not the one made for
testing, then it guarantees that the only time you get a `SparkPlan` that
`supportsColumnar` is when the serializer also `supportsColumnarInput`. You
could purposely construct an `InMemoryReplaction` that does not match this, but
you would have to go out of your way to do it. I can add in an assertion to an
InMemoryRelation constructor to make sure that it is correct if you want me to.
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