Hi,
I'm getting Java OOM errors even though I'm setting my driver memory to 24g
and I'm executing against local[*]
I was wondering if anyone can give me any insight. The server this
job is running on has more than enough memory as does the spark
driver.
The final result does write 3 csv files that are 300MB each so there's
no way its coming close to the 24g
>From the OOM, I don't know about the internals of Spark itself to tell
me where this is failing + how I should refactor or change anything
Would appreciate any advice on how I can resolve
Thx
Parameters here:
val spark = SparkSession
.builder
.master("local[*]")
.appName("OOM")
.config("spark.driver.host", "localhost")
.config("spark.driver.maxResultSize", "0")
.config("spark.sql.caseSensitive", "false")
.config("spark.sql.adaptive.enabled", "true")
.config("spark.sql.adaptive.coalescePartitions.enabled", "true")
.config("spark.driver.memory", "24g")
.getOrCreate()
My OOM errors are below:
driver): java.lang.OutOfMemoryError: Java heap space
at java.io.BufferedOutputStream.<init>(BufferedOutputStream.java:76)
at
org.apache.spark.storage.DiskBlockObjectWriter$ManualCloseBufferedOutputStream$1.<init>(DiskBlockObjectWriter.scala:109)
at
org.apache.spark.storage.DiskBlockObjectWriter.initialize(DiskBlockObjectWriter.scala:110)
at
org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:118)
at
org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:245)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:158)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at
org.apache.spark.executor.Executor$TaskRunner$$Lambda$1792/1058609963.apply(Unknown
Source)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
driver): java.lang.OutOfMemoryError: Java heap space
at
net.jpountz.lz4.LZ4BlockOutputStream.<init>(LZ4BlockOutputStream.java:102)
at
org.apache.spark.io.LZ4CompressionCodec.compressedOutputStream(CompressionCodec.scala:145)
at
org.apache.spark.serializer.SerializerManager.wrapForCompression(SerializerManager.scala:158)
at
org.apache.spark.serializer.SerializerManager.wrapStream(SerializerManager.scala:133)
at
org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:122)
at
org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:245)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:158)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
at
org.apache.spark.executor.Executor$TaskRunner$$Lambda$1792/249605067.apply(Unknown
Source)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
