Dooyoung-Hwang commented on a change in pull request #22347: [SPARK-25353][SQL]
executeTake in SparkPlan is modified to avoid unnecessary decoding.
URL: https://github.com/apache/spark/pull/22347#discussion_r299316137
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlan.scala
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@@ -423,31 +424,37 @@ abstract class SparkPlan extends QueryPlan[SparkPlan]
with Logging with Serializ
// Otherwise, interpolate the number of partitions we need to try, but
overestimate
// it by 50%. We also cap the estimation in the end.
val limitScaleUpFactor = Math.max(sqlContext.conf.limitScaleUpFactor,
2)
- if (buf.isEmpty) {
+ if (scannedRowCount == 0) {
numPartsToTry = partsScanned * limitScaleUpFactor
} else {
- val left = n - buf.size
+ val left = n - scannedRowCount
// As left > 0, numPartsToTry is always >= 1
- numPartsToTry = Math.ceil(1.5 * left * partsScanned / buf.size).toInt
+ numPartsToTry = Math.ceil(1.5 * left * partsScanned /
scannedRowCount).toInt
numPartsToTry = Math.min(numPartsToTry, partsScanned *
limitScaleUpFactor)
}
}
val p = partsScanned.until(math.min(partsScanned + numPartsToTry,
totalParts).toInt)
val sc = sqlContext.sparkContext
- val res = sc.runJob(childRDD,
- (it: Iterator[Array[Byte]]) => if (it.hasNext) it.next() else
Array.empty[Byte], p)
-
- buf ++= res.flatMap(decodeUnsafeRows)
-
+ val res = sc.runJob(childRDD, (it: Iterator[(Long, Array[Byte])]) =>
+ if (it.hasNext) it.next() else (0L, Array.empty[Byte]), p)
+
+ var i = 0
+ while (scannedRowCount < n && i < res.length) {
+ val rows = decodeUnsafeRows(res(i)._2)
Review comment:
Yes, we can remove scannedRowCount.
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