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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.util
import scala.collection.mutable.ArrayBuffer
import org.apache.spark._
import org.apache.spark.sql.{functions, QueryTest}
import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Project}
import org.apache.spark.sql.execution.{QueryExecution, WholeStageCodegenExec}
import org.apache.spark.sql.test.SharedSQLContext
class DataFrameCallbackSuite extends QueryTest with SharedSQLContext {
import testImplicits._
import functions._
test("execute callback functions when a DataFrame action finished successfully") {
val metrics = ArrayBuffer.empty[(String, QueryExecution, Long)]
val listener = new QueryExecutionListener {
// Only test successful case here, so no need to implement `onFailure`
override def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit = {}
override def onSuccess(funcName: String, qe: QueryExecution, duration: Long): Unit = {
metrics += ((funcName, qe, duration))
}
}
sqlContext.listenerManager.register(listener)
val df = Seq(1 -> "a").toDF("i", "j")
df.select("i").collect()
df.filter($"i" > 0).count()
assert(metrics.length == 2)
assert(metrics(0)._1 == "collect")
assert(metrics(0)._2.analyzed.isInstanceOf[Project])
assert(metrics(0)._3 > 0)
assert(metrics(1)._1 == "count")
assert(metrics(1)._2.analyzed.isInstanceOf[Aggregate])
assert(metrics(1)._3 > 0)
sqlContext.listenerManager.unregister(listener)
}
test("execute callback functions when a DataFrame action failed") {
val metrics = ArrayBuffer.empty[(String, QueryExecution, Exception)]
val listener = new QueryExecutionListener {
override def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit = {
metrics += ((funcName, qe, exception))
}
// Only test failed case here, so no need to implement `onSuccess`
override def onSuccess(funcName: String, qe: QueryExecution, duration: Long): Unit = {}
}
sqlContext.listenerManager.register(listener)
val errorUdf = udf[Int, Int] { _ => throw new RuntimeException("udf error") }
val df = sparkContext.makeRDD(Seq(1 -> "a")).toDF("i", "j")
// Ignore the log when we are expecting an exception.
sparkContext.setLogLevel("FATAL")
val e = intercept[SparkException](df.select(errorUdf($"i")).collect())
assert(metrics.length == 1)
assert(metrics(0)._1 == "collect")
assert(metrics(0)._2.analyzed.isInstanceOf[Project])
assert(metrics(0)._3.getMessage == e.getMessage)
sqlContext.listenerManager.unregister(listener)
}
test("get numRows metrics by callback") {
val metrics = ArrayBuffer.empty[Long]
val listener = new QueryExecutionListener {
// Only test successful case here, so no need to implement `onFailure`
override def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit = {}
override def onSuccess(funcName: String, qe: QueryExecution, duration: Long): Unit = {
val metric = qe.executedPlan match {
case w: WholeStageCodegenExec => w.child.longMetric("numOutputRows")
case other => other.longMetric("numOutputRows")
}
metrics += metric.value.value
}
}
sqlContext.listenerManager.register(listener)
val df = Seq(1 -> "a").toDF("i", "j").groupBy("i").count()
df.collect()
df.collect()
Seq(1 -> "a", 2 -> "a").toDF("i", "j").groupBy("i").count().collect()
assert(metrics.length == 3)
assert(metrics(0) === 1)
assert(metrics(1) === 1)
assert(metrics(2) === 2)
sqlContext.listenerManager.unregister(listener)
}
// TODO: Currently some LongSQLMetric use -1 as initial value, so if the accumulator is never
// updated, we can filter it out later. However, when we aggregate(sum) accumulator values at
// driver side for SQL physical operators, these -1 values will make our result smaller.
// A easy fix is to create a new SQLMetric(including new MetricValue, MetricParam, etc.), but we
// can do it later because the impact is just too small (1048576 tasks for 1 MB).
ignore("get size metrics by callback") {
val metrics = ArrayBuffer.empty[Long]
val listener = new QueryExecutionListener {
// Only test successful case here, so no need to implement `onFailure`
override def onFailure(funcName: String, qe: QueryExecution, exception: Exception): Unit = {}
override def onSuccess(funcName: String, qe: QueryExecution, duration: Long): Unit = {
metrics += qe.executedPlan.longMetric("dataSize").value.value
val bottomAgg = qe.executedPlan.children(0).children(0)
metrics += bottomAgg.longMetric("dataSize").value.value
}
}
sqlContext.listenerManager.register(listener)
val sparkListener = new SaveInfoListener
sqlContext.sparkContext.addSparkListener(sparkListener)
val df = (1 to 100).map(i => i -> i.toString).toDF("i", "j")
df.groupBy("i").count().collect()
def getPeakExecutionMemory(stageId: Int): Long = {
val peakMemoryAccumulator = sparkListener.getCompletedStageInfos(stageId).accumulables
.filter(_._2.name == InternalAccumulator.PEAK_EXECUTION_MEMORY)
assert(peakMemoryAccumulator.size == 1)
peakMemoryAccumulator.head._2.value.get.asInstanceOf[Long]
}
assert(sparkListener.getCompletedStageInfos.length == 2)
val bottomAggDataSize = getPeakExecutionMemory(0)
val topAggDataSize = getPeakExecutionMemory(1)
// For this simple case, the peakExecutionMemory of a stage should be the data size of the
// aggregate operator, as we only have one memory consuming operator per stage.
assert(metrics.length == 2)
assert(metrics(0) == topAggDataSize)
assert(metrics(1) == bottomAggDataSize)
sqlContext.listenerManager.unregister(listener)
}
}
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