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From Imran Rajjad <raj...@gmail.com>
Subject graphframe out of memory
Date Thu, 07 Sep 2017 16:16:09 GMT
I am getting Out of Memory error while running connectedComponents job on
graph with around 12000 vertices and 134600 edges.
I am running spark in embedded mode in a standalone Java application and
have tried to increase the memory but it seems that its not taking any
effect

sparkConf = new SparkConf().setAppName("SOME APP
NAME").setMaster("local[10]")
    .set("spark.executor.memory","5g")
    .set("spark.driver.memory","8g")
    .set("spark.driver.maxResultSize","1g")
    .set("spark.sql.warehouse.dir", "file:///d:/spark/tmp")
    .set("hadoop.home.dir", "file:///D:/spark-2.1.0-bin-hadoop2.7/bin");

  spark = SparkSession.builder().config(sparkConf).getOrCreate();
  spark.sparkContext().setLogLevel("ERROR");
  spark.sparkContext().setCheckpointDir("D:/spark/tmp");

the stack trace
java.lang.OutOfMemoryError: Java heap space
 at java.util.Arrays.copyOf(Arrays.java:3332)
 at
java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:124)
 at java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:448)
 at java.lang.StringBuilder.append(StringBuilder.java:136)
 at scala.StringContext.standardInterpolator(StringContext.scala:126)
 at scala.StringContext.s(StringContext.scala:95)
 at
org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:230)
 at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:54)
 at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2788)
 at org.apache.spark.sql.Dataset.org
$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2385)
 at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2390)
 at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2390)
 at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2801)
 at org.apache.spark.sql.Dataset.org
$apache$spark$sql$Dataset$$collect(Dataset.scala:2390)
 at org.apache.spark.sql.Dataset.collect(Dataset.scala:2366)
 at
org.graphframes.lib.ConnectedComponents$.skewedJoin(ConnectedComponents.scala:239)
 at
org.graphframes.lib.ConnectedComponents$.org$graphframes$lib$ConnectedComponents$$run(ConnectedComponents.scala:308)
 at
org.graphframes.lib.ConnectedComponents.run(ConnectedComponents.scala:139)

GraphFrame version is 0.5.0 and Spark version is 2.1.1

regards,
Imran

-- 
I.R

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