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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 org.scalatest.Assertions
import org.apache.spark.storage.StorageLevel
class SparkContextInfoSuite extends SparkFunSuite with LocalSparkContext {
test("getPersistentRDDs only returns RDDs that are marked as cached") {
sc = new SparkContext("local", "test")
assert(sc.getPersistentRDDs.isEmpty === true)
val rdd = sc.makeRDD(Array(1, 2, 3, 4), 2)
assert(sc.getPersistentRDDs.isEmpty === true)
rdd.cache()
assert(sc.getPersistentRDDs.size === 1)
assert(sc.getPersistentRDDs.values.head === rdd)
}
test("getPersistentRDDs returns an immutable map") {
sc = new SparkContext("local", "test")
val rdd1 = sc.makeRDD(Array(1, 2, 3, 4), 2).cache()
val myRdds = sc.getPersistentRDDs
assert(myRdds.size === 1)
assert(myRdds(0) === rdd1)
assert(myRdds(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
// myRdds2 should have 2 RDDs, but myRdds should not change
val rdd2 = sc.makeRDD(Array(5, 6, 7, 8), 1).cache()
val myRdds2 = sc.getPersistentRDDs
assert(myRdds2.size === 2)
assert(myRdds2(0) === rdd1)
assert(myRdds2(1) === rdd2)
assert(myRdds2(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
assert(myRdds2(1).getStorageLevel === StorageLevel.MEMORY_ONLY)
assert(myRdds.size === 1)
assert(myRdds(0) === rdd1)
assert(myRdds(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
}
test("getRDDStorageInfo only reports on RDDs that actually persist data") {
sc = new SparkContext("local", "test")
val rdd = sc.makeRDD(Array(1, 2, 3, 4), 2).cache()
assert(sc.getRDDStorageInfo.size === 0)
rdd.collect()
assert(sc.getRDDStorageInfo.size === 1)
assert(sc.getRDDStorageInfo.head.isCached)
assert(sc.getRDDStorageInfo.head.memSize > 0)
assert(sc.getRDDStorageInfo.head.storageLevel === StorageLevel.MEMORY_ONLY)
}
test("call sites report correct locations") {
sc = new SparkContext("local", "test")
testPackage.runCallSiteTest(sc)
}
}
/** Call site must be outside of usual org.apache.spark packages (see Utils#SPARK_CLASS_REGEX). */
package object testPackage extends Assertions {
private val CALL_SITE_REGEX = "(.+) at (.+):([0-9]+)".r
def runCallSiteTest(sc: SparkContext) {
val rdd = sc.makeRDD(Array(1, 2, 3, 4), 2)
val rddCreationSite = rdd.getCreationSite
val curCallSite = sc.getCallSite().shortForm // note: 2 lines after definition of "rdd"
val rddCreationLine = rddCreationSite match {
case CALL_SITE_REGEX(func, file, line) => {
assert(func === "makeRDD")
assert(file === "SparkContextInfoSuite.scala")
line.toInt
}
case _ => fail("Did not match expected call site format")
}
curCallSite match {
case CALL_SITE_REGEX(func, file, line) => {
assert(func === "getCallSite") // this is correct because we called it from outside of Spark
assert(file === "SparkContextInfoSuite.scala")
assert(line.toInt === rddCreationLine.toInt + 2)
}
case _ => fail("Did not match expected call site format")
}
}
}
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