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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
import scala.concurrent.duration._
import scala.language.implicitConversions
import scala.language.postfixOps
import org.scalatest.Matchers
import org.scalatest.concurrent.Eventually._
import org.apache.spark.JobExecutionStatus._
class StatusTrackerSuite extends SparkFunSuite with Matchers with LocalSparkContext {
test("basic status API usage") {
sc = new SparkContext("local", "test", new SparkConf(false))
val jobFuture = sc.parallelize(1 to 10000, 2).map(identity).groupBy(identity).collectAsync()
val jobId: Int = eventually(timeout(10 seconds)) {
val jobIds = jobFuture.jobIds
jobIds.size should be(1)
jobIds.head
}
val jobInfo = eventually(timeout(10 seconds)) {
sc.statusTracker.getJobInfo(jobId).get
}
jobInfo.status() should not be FAILED
val stageIds = jobInfo.stageIds()
stageIds.size should be(2)
val firstStageInfo = eventually(timeout(10 seconds)) {
sc.statusTracker.getStageInfo(stageIds(0)).get
}
firstStageInfo.stageId() should be(stageIds(0))
firstStageInfo.currentAttemptId() should be(0)
firstStageInfo.numTasks() should be(2)
eventually(timeout(10 seconds)) {
val updatedFirstStageInfo = sc.statusTracker.getStageInfo(stageIds(0)).get
updatedFirstStageInfo.numCompletedTasks() should be(2)
updatedFirstStageInfo.numActiveTasks() should be(0)
updatedFirstStageInfo.numFailedTasks() should be(0)
}
}
test("getJobIdsForGroup()") {
sc = new SparkContext("local", "test", new SparkConf(false))
// Passing `null` should return jobs that were not run in a job group:
val defaultJobGroupFuture = sc.parallelize(1 to 1000).countAsync()
val defaultJobGroupJobId = eventually(timeout(10 seconds)) {
defaultJobGroupFuture.jobIds.head
}
eventually(timeout(10 seconds)) {
sc.statusTracker.getJobIdsForGroup(null).toSet should be (Set(defaultJobGroupJobId))
}
// Test jobs submitted in job groups:
sc.setJobGroup("my-job-group", "description")
sc.statusTracker.getJobIdsForGroup("my-job-group") should be (Seq.empty)
val firstJobFuture = sc.parallelize(1 to 1000).countAsync()
val firstJobId = eventually(timeout(10 seconds)) {
firstJobFuture.jobIds.head
}
eventually(timeout(10 seconds)) {
sc.statusTracker.getJobIdsForGroup("my-job-group") should be (Seq(firstJobId))
}
val secondJobFuture = sc.parallelize(1 to 1000).countAsync()
val secondJobId = eventually(timeout(10 seconds)) {
secondJobFuture.jobIds.head
}
eventually(timeout(10 seconds)) {
sc.statusTracker.getJobIdsForGroup("my-job-group").toSet should be (
Set(firstJobId, secondJobId))
}
}
}
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