Binzi Cao created SPARK-20760:
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Summary: Memory Leak of RDD blocks
Key: SPARK-20760
URL: https://issues.apache.org/jira/browse/SPARK-20760
Project: Spark
Issue Type: Bug
Components: Block Manager
Affects Versions: 2.1.0
Environment: Spark 2.1.0
Reporter: Binzi Cao
Priority: Critical
Memory lead for RDD blocks for a long time running rdd process. I have a long
term running application, which is doing caculations of RDDs. and I found the
RDD blocks are keep increasing. The rdd blocks and memory usage does not mach
the cached rdds and memory. It looks like spark keeps old rdds in memory and
never released it. In addtion, I'm not seeing this issue in spark 1.6.
The below is the minimized code and it is reproducible by justing running it in
local mode.
Scala file:
import scala.concurrent.duration.Duration
import scala.util.{Try, Failure, Success}
import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.apache.spark.rdd.RDD
import scala.concurrent._
import ExecutionContext.Implicits.global
case class Person(id: String, name: String)
object RDDApp {
def run(sc: SparkContext) = {
while (true) {
val r = scala.util.Random
val data = (1 to r.nextInt(100)).toList.map { a =>
Person(a.toString, a.toString)
}
val rdd = sc.parallelize(data)
rdd.cache
println("running")
val a = (1 to 100).toList.map { x =>
Future(rdd.filter(_.id == x.toString).collect)
}
a.foreach { f =>
println(Await.ready(f, Duration.Inf).value.get)
}
rdd.unpersist()
}
}
def main(args: Array[String]): Unit = {
val conf = new SparkConf().setAppName("test")
val sc = new SparkContext(conf)
run(sc)
}
}
build sbt file:
name := "RDDTest"
version := "0.1.1"
scalaVersion := "2.11.5"
libraryDependencies ++= Seq (
"org.scalaz" %% "scalaz-core" % "7.2.0",
"org.scalaz" %% "scalaz-concurrent" % "7.2.0",
"org.apache.spark" % "spark-core_2.11" % "2.1.0" % "provided",
"org.apache.spark" % "spark-hive_2.11" % "2.1.0" % "provided"
)
addCompilerPlugin("org.spire-math" %% "kind-projector" % "0.7.1")
mainClass in assembly := Some("RDDApp")
test in assembly := {}
To reproduce it:
Just
spark-2.1.0-bin-hadoop2.7/bin/spark-submit --driver-memory 4G \
--executor-memory 4G \
--executor-cores 1 \
--num-executors 1 \
--class "RDDApp" --master local[4] RDDTest-assembly-0.1.1.jar
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