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[SPARK-26277][SQL][TEST] WholeStageCodegen metrics should be tested with whole-stage codegen enabled #23224

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[SPARK-26277][SQL][TEST] WholeStageCodegen metrics should be tested with whole-stage codegen enabled #23224

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59acb16
[MINOR][SQL][TEST] WholeStageCodegen metrics should be tested with wh…
seancxmao Dec 5, 2018
d410a9c
check whole-stage codegen enabled
seancxmao Dec 7, 2018
fd7c63b
make test case more readable
seancxmao Dec 8, 2018
00284b6
remove unused flag
seancxmao Jan 2, 2019
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11 changes: 8 additions & 3 deletions sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -77,11 +77,16 @@ class SQLMetricsSuite extends SparkFunSuite with SQLMetricsTestUtils with Shared
}

test("WholeStageCodegen metrics") {
// Assume the execution plan is
// WholeStageCodegen(nodeId = 0, Range(nodeId = 2) -> Filter(nodeId = 1))
// Assume the execution plan with node id is
// WholeStageCodegen(nodeId = 0)
// Filter(nodeId = 1)
// Range(nodeId = 2)
// TODO: update metrics in generated operators
val ds = spark.range(10).filter('id < 5)
testSparkPlanMetrics(ds.toDF(), 1, Map.empty)
testSparkPlanMetricsWithPredicates(ds.toDF(), 1, Map(
0L -> (("WholeStageCodegen", Map(
"duration total (min, med, max)" -> {_.toString.matches(timingMetricPattern)})))
), true)
}

test("Aggregate metrics") {
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7 changes: 5 additions & 2 deletions sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
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Expand Up @@ -144,6 +144,7 @@ trait SQLMetricsTestUtils extends SQLTestUtils {
* @param df `DataFrame` to run
* @param expectedNumOfJobs number of jobs that will run
* @param expectedNodeIds the node ids of the metrics to collect from execution data.
* @param enableWholeStage enable whole-stage code generation or not.
*/
protected def getSparkPlanMetrics(
df: DataFrame,
Expand Down Expand Up @@ -210,13 +211,15 @@ trait SQLMetricsTestUtils extends SQLTestUtils {
* @param expectedNumOfJobs number of jobs that will run
* @param expectedMetricsPredicates the expected metrics predicates. The format is
* `nodeId -> (operatorName, metric name -> metric predicate)`.
* @param enableWholeStage enable whole-stage code generation or not.
*/
protected def testSparkPlanMetricsWithPredicates(
df: DataFrame,
expectedNumOfJobs: Int,
expectedMetricsPredicates: Map[Long, (String, Map[String, Any => Boolean])]): Unit = {
expectedMetricsPredicates: Map[Long, (String, Map[String, Any => Boolean])],
enableWholeStage: Boolean = false): Unit = {
val optActualMetrics =
getSparkPlanMetrics(df, expectedNumOfJobs, expectedMetricsPredicates.keySet)
getSparkPlanMetrics(df, expectedNumOfJobs, expectedMetricsPredicates.keySet, enableWholeStage)
optActualMetrics.foreach { actualMetrics =>
assert(expectedMetricsPredicates.keySet === actualMetrics.keySet)
for ((nodeId, (expectedNodeName, expectedMetricsPredicatesMap))
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