You need to keep a certain number of rdds around for checkpointing, based on e.g. the window size. Those would all need to be loaded at once.
On Mon, Aug 10, 2015 at 11:49 AM, Dmitry Goldenberg < dgoldenberg...@gmail.com> wrote: > Would there be a way to chunk up/batch up the contents of the > checkpointing directories as they're being processed by Spark Streaming? > Is it mandatory to load the whole thing in one go? > > On Mon, Aug 10, 2015 at 12:42 PM, Ted Yu <yuzhih...@gmail.com> wrote: > >> I wonder during recovery from a checkpoint whether we can estimate the >> size of the checkpoint and compare with Runtime.getRuntime().freeMemory >> (). >> >> If the size of checkpoint is much bigger than free memory, log warning, >> etc >> >> Cheers >> >> On Mon, Aug 10, 2015 at 9:34 AM, Dmitry Goldenberg < >> dgoldenberg...@gmail.com> wrote: >> >>> Thanks, Cody, will try that. Unfortunately due to a reinstall I don't >>> have the original checkpointing directory :( Thanks for the clarification >>> on spark.driver.memory, I'll keep testing (at 2g things seem OK for now). >>> >>> On Mon, Aug 10, 2015 at 12:10 PM, Cody Koeninger <c...@koeninger.org> >>> wrote: >>> >>>> That looks like it's during recovery from a checkpoint, so it'd be >>>> driver memory not executor memory. >>>> >>>> How big is the checkpoint directory that you're trying to restore from? >>>> >>>> On Mon, Aug 10, 2015 at 10:57 AM, Dmitry Goldenberg < >>>> dgoldenberg...@gmail.com> wrote: >>>> >>>>> We're getting the below error. Tried increasing spark.executor.memory >>>>> e.g. from 1g to 2g but the below error still happens. >>>>> >>>>> Any recommendations? Something to do with specifying -Xmx in the >>>>> submit job scripts? >>>>> >>>>> Thanks. >>>>> >>>>> Exception in thread "main" java.lang.OutOfMemoryError: GC overhead >>>>> limit exceeded >>>>> at java.util.Arrays.copyOf(Arrays.java:3332) >>>>> at >>>>> java.lang.AbstractStringBuilder.expandCapacity(AbstractStringBuilder.java:137) >>>>> at >>>>> java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:121) >>>>> at >>>>> java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:421) >>>>> at java.lang.StringBuilder.append(StringBuilder.java:136) >>>>> at java.lang.StackTraceElement.toString(StackTraceElement.java:173) >>>>> at >>>>> org.apache.spark.util.Utils$$anonfun$getCallSite$1.apply(Utils.scala:1212) >>>>> at >>>>> org.apache.spark.util.Utils$$anonfun$getCallSite$1.apply(Utils.scala:1190) >>>>> at >>>>> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) >>>>> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) >>>>> at org.apache.spark.util.Utils$.getCallSite(Utils.scala:1190) >>>>> at >>>>> org.apache.spark.SparkContext$$anonfun$getCallSite$2.apply(SparkContext.scala:1441) >>>>> at >>>>> org.apache.spark.SparkContext$$anonfun$getCallSite$2.apply(SparkContext.scala:1441) >>>>> at scala.Option.getOrElse(Option.scala:120) >>>>> at org.apache.spark.SparkContext.getCallSite(SparkContext.scala:1441) >>>>> at org.apache.spark.rdd.RDD.<init>(RDD.scala:1365) >>>>> at org.apache.spark.streaming.kafka.KafkaRDD.<init>(KafkaRDD.scala:46) >>>>> at >>>>> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData$$anonfun$restore$2.apply(DirectKafkaInputDStream.scala:155) >>>>> at >>>>> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData$$anonfun$restore$2.apply(DirectKafkaInputDStream.scala:153) >>>>> at >>>>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >>>>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >>>>> at >>>>> org.apache.spark.streaming.kafka.DirectKafkaInputDStream$DirectKafkaInputDStreamCheckpointData.restore(DirectKafkaInputDStream.scala:153) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:402) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >>>>> at scala.collection.immutable.List.foreach(List.scala:318) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:403) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:403) >>>>> at scala.collection.immutable.List.foreach(List.scala:318) >>>>> at >>>>> org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:403) >>>>> at >>>>> org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:149) >>>>> >>>>> >>>>> >>>>> >>>> >>> >> >
