我的数据集大小为10GB(例如Test.txt)。
我写了我的pyspark脚本，如下所示(Test.py):
from pyspark import SparkConf
from pyspark.sql import SparkSession
from pyspark.sql import SQLContext
spark = SparkSession.builder.appName("FilterProduct").getOrCreate()
sc = spark.sparkContext
sqlContext = SQLContext(sc)
lines = spark.read.text("C:/Users/test/Desktop/Test.txt").rdd
lines.collect()
然后我使用以下命令执行以上脚本:
spark-submit Test.py --executor-memory 12G
然后我得到如下错误:
17/12/29 13:27:18 INFO FileScanRDD: Reading File path: file:///C:/Users/test/Desktop/Test.txt, range: 402653184-536870912, partition values: [empty row]
17/12/29 13:27:18 INFO CodeGenerator: Code generated in 22.743725 ms
17/12/29 13:27:44 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3230)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
at org.apache.spark.util.ByteBufferOutputStream.write(ByteBufferOutputStream.scala:41)
at java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
at java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:43)
at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:100)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:383)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
17/12/29 13:27:44 ERROR Executor: Exception in task 2.0 in stage 0.0 (TID 2)
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3230)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93
请让我知道如何解决此问题？
最佳答案
您可以尝试--conf "spark.driver.maxResultSize=20g"。您应该检查spark conf page.spark.apache.org/docs/latest/configuration.html上的配置。
除了此答案外，我还建议您 reduce task 结果，否则序列化可能会遇到麻烦。
关于apache-spark - pyspark spark-submit中的Java堆空间OutOfMemoryError？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/48019648/