jose-torres commented on a change in pull request #23749: [SPARK-26841][SQL]
Kafka timestamp pushdown
URL: https://github.com/apache/spark/pull/23749#discussion_r266098262
##########
File path:
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala
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@@ -106,19 +112,49 @@ private[kafka010] class KafkaRelation(
val rdd = new KafkaSourceRDD(
sqlContext.sparkContext, executorKafkaParams, offsetRanges,
pollTimeoutMs, failOnDataLoss, reuseKafkaConsumer = false).map { cr =>
- InternalRow(
- cr.key,
- cr.value,
- UTF8String.fromString(cr.topic),
- cr.partition,
- cr.offset,
- DateTimeUtils.fromJavaTimestamp(new java.sql.Timestamp(cr.timestamp)),
- cr.timestampType.id)
+ val columns =
requiredColumns.map{KafkaRelation.columnToValueExtractor(_)(cr)}
Review comment:
This is on the fast path. I don't think we should add 2 lambda invocations
and a HashMap lookup to every row computation. I'd prefer just having the test
harness create its own extractor if it needs one.
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