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fix spark tests on machines with many cores (#4634)

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This commit is contained in:
Rong Ou 2019-07-07 16:02:56 -07:00 committed by Nan Zhu
parent d333918f5e
commit 30204b50fe
2 changed files with 8 additions and 6 deletions
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7
jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/PerTest.scala
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@ -19,15 +19,16 @@ package ml.dmlc.xgboost4j.scala.spark
import java.io.File
import ml.dmlc.xgboost4j.{LabeledPoint => XGBLabeledPoint}
import org.apache.spark.{SparkConf, SparkContext, TaskFailedListener}
import org.apache.spark.sql._
import org.scalatest.{BeforeAndAfterEach, FunSuite}
import scala.math.min
import scala.util.Random
trait PerTest extends BeforeAndAfterEach { self: FunSuite =>
protected val numWorkers: Int = Runtime.getRuntime.availableProcessors()
protected val numWorkers: Int = min(Runtime.getRuntime.availableProcessors(), 4)
@transient private var currentSession: SparkSession = _
@ -35,7 +36,7 @@ trait PerTest extends BeforeAndAfterEach { self: FunSuite =>
implicit def sc: SparkContext = ss.sparkContext
protected def sparkSessionBuilder: SparkSession.Builder = SparkSession.builder()
.master("local[*]")
.master(s"local[${numWorkers}]")
.appName("XGBoostSuite")
.config("spark.ui.enabled", false)
.config("spark.driver.memory", "512m")

7
jvm-packages/xgboost4j-spark/src/test/scala/org/apache/spark/SparkParallelismTrackerSuite.scala
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@ -18,16 +18,17 @@ package org.apache.spark
import org.scalatest.FunSuite
import _root_.ml.dmlc.xgboost4j.scala.spark.PerTest
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession
import scala.math.min
class SparkParallelismTrackerSuite extends FunSuite with PerTest {
val numParallelism: Int = Runtime.getRuntime.availableProcessors()
val numParallelism: Int = min(Runtime.getRuntime.availableProcessors(), 4)
override protected def sparkSessionBuilder: SparkSession.Builder = SparkSession.builder()
.master("local[*]")
.master(s"local[${numParallelism}]")
.appName("XGBoostSuite")
.config("spark.ui.enabled", true)
.config("spark.driver.memory", "512m")