Re: Checkpoint directory structure
Thanks for the log file. Unfortunately, this is insufficient as it does not why the file does not exist. It could be that before failure somehow the file was deleted. For that I need to see both the before failure and after recovery logs. If this can be reproduced, could you generate the before and after failure logs? On Wed, Sep 23, 2015 at 7:33 PM, Bin Wang wrote: > I've attached the full log. The error is like this: > > 15/09/23 17:47:39 ERROR yarn.ApplicationMaster: User class threw > exception: java.lang.IllegalArgumentException: requirement failed: > Checkpoint directory does not exist: hdfs:// > szq2.appadhoc.com:8020/user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2/rdd-26909 > java.lang.IllegalArgumentException: requirement failed: Checkpoint > directory does not exist: hdfs:// > szq2.appadhoc.com:8020/user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2/rdd-26909 > at scala.Predef$.require(Predef.scala:233) > at > org.apache.spark.rdd.ReliableCheckpointRDD.(ReliableCheckpointRDD.scala:45) > at > org.apache.spark.SparkContext$$anonfun$checkpointFile$1.apply(SparkContext.scala:1227) > at > org.apache.spark.SparkContext$$anonfun$checkpointFile$1.apply(SparkContext.scala:1227) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) > at org.apache.spark.SparkContext.withScope(SparkContext.scala:709) > at org.apache.spark.SparkContext.checkpointFile(SparkContext.scala:1226) > at > org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$restore$1.apply(DStreamCheckpointData.scala:112) > at > org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$restore$1.apply(DStreamCheckpointData.scala:109) > at > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) > at > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) > at > scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) > at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) > at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) > at > org.apache.spark.streaming.dstream.DStreamCheckpointData.restore(DStreamCheckpointData.scala:109) > at > org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:487) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) > at > org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:153) > at > org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:153) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.streaming.DStreamGraph.restoreCheckpointData(DStreamGraph.scala:153) > at > org.apache.spark.streaming.StreamingContext.(StreamingContext.scala:158) > at > org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:837) > at > org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:837) > at scala.Option.map(Option.scala:145) > at > org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:837) > at com.appadhoc.data.main.StatCounter$.main(StatCounter.scala:51) > at com.appadhoc.data.main.StatCounter.main(StatCounter.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:525) > 15/09/23 17:47:39 INFO yarn.ApplicationMaster: Final app status: FAILED, > exitCode: 15, (reason: User class threw
Re: Checkpoint directory structure
I've attached the full log. The error is like this: 15/09/23 17:47:39 ERROR yarn.ApplicationMaster: User class threw exception: java.lang.IllegalArgumentException: requirement failed: Checkpoint directory does not exist: hdfs:// szq2.appadhoc.com:8020/user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2/rdd-26909 java.lang.IllegalArgumentException: requirement failed: Checkpoint directory does not exist: hdfs:// szq2.appadhoc.com:8020/user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2/rdd-26909 at scala.Predef$.require(Predef.scala:233) at org.apache.spark.rdd.ReliableCheckpointRDD.(ReliableCheckpointRDD.scala:45) at org.apache.spark.SparkContext$$anonfun$checkpointFile$1.apply(SparkContext.scala:1227) at org.apache.spark.SparkContext$$anonfun$checkpointFile$1.apply(SparkContext.scala:1227) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.SparkContext.withScope(SparkContext.scala:709) at org.apache.spark.SparkContext.checkpointFile(SparkContext.scala:1226) at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$restore$1.apply(DStreamCheckpointData.scala:112) at org.apache.spark.streaming.dstream.DStreamCheckpointData$$anonfun$restore$1.apply(DStreamCheckpointData.scala:109) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) at org.apache.spark.streaming.dstream.DStreamCheckpointData.restore(DStreamCheckpointData.scala:109) at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:487) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at scala.collection.immutable.List.foreach(List.scala:318) at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at scala.collection.immutable.List.foreach(List.scala:318) at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at org.apache.spark.streaming.dstream.DStream$$anonfun$restoreCheckpointData$2.apply(DStream.scala:488) at scala.collection.immutable.List.foreach(List.scala:318) at org.apache.spark.streaming.dstream.DStream.restoreCheckpointData(DStream.scala:488) at org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:153) at org.apache.spark.streaming.DStreamGraph$$anonfun$restoreCheckpointData$2.apply(DStreamGraph.scala:153) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.streaming.DStreamGraph.restoreCheckpointData(DStreamGraph.scala:153) at org.apache.spark.streaming.StreamingContext.(StreamingContext.scala:158) at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:837) at org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:837) at scala.Option.map(Option.scala:145) at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:837) at com.appadhoc.data.main.StatCounter$.main(StatCounter.scala:51) at com.appadhoc.data.main.StatCounter.main(StatCounter.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:525) 15/09/23 17:47:39 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: java.lang.IllegalArgumentException: requirement failed: Checkpoint directory does not exist: hdfs:// szq2.appadhoc.com:8020/user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2/rdd-26909 ) 15/09/23 17:47:39 INFO spark.SparkContext: Invoking stop() from shutdown hook Tathagata Das 于2015年9月24日周四 上午9:45写道： > Could you provide the logs on when and how you are seeing this error? > > On Wed, Sep 23, 2015 at 6:32 PM, Bin Wang wrote: > >> BTW, I just kill the application and restart it. Then the application >> cannot recover from c
Re: Checkpoint directory structure
Could you provide the logs on when and how you are seeing this error? On Wed, Sep 23, 2015 at 6:32 PM, Bin Wang wrote: > BTW, I just kill the application and restart it. Then the application > cannot recover from checkpoint because of some lost of RDD. So I'm wonder, > if there are some failure in the application, won't it possible not be able > to recovery from checkpoint? > > Bin Wang 于2015年9月23日周三 下午6:58写道： > >> I find the checkpoint directory structure is like this: >> >> -rw-r--r-- 1 root root 134820 2015-09-23 16:55 >> /user/root/checkpoint/checkpoint-144299850 >> -rw-r--r-- 1 root root 134768 2015-09-23 17:00 >> /user/root/checkpoint/checkpoint-144299880 >> -rw-r--r-- 1 root root 134895 2015-09-23 17:05 >> /user/root/checkpoint/checkpoint-144299910 >> -rw-r--r-- 1 root root 134899 2015-09-23 17:10 >> /user/root/checkpoint/checkpoint-144299940 >> -rw-r--r-- 1 root root 134913 2015-09-23 17:15 >> /user/root/checkpoint/checkpoint-144299970 >> -rw-r--r-- 1 root root 134928 2015-09-23 17:20 >> /user/root/checkpoint/checkpoint-14430 >> -rw-r--r-- 1 root root 134987 2015-09-23 17:25 >> /user/root/checkpoint/checkpoint-144300030 >> -rw-r--r-- 1 root root 134944 2015-09-23 17:30 >> /user/root/checkpoint/checkpoint-144300060 >> -rw-r--r-- 1 root root 134956 2015-09-23 17:35 >> /user/root/checkpoint/checkpoint-144300090 >> -rw-r--r-- 1 root root 135244 2015-09-23 17:40 >> /user/root/checkpoint/checkpoint-144300120 >> drwxr-xr-x - root root 0 2015-09-23 18:48 >> /user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2 >> drwxr-xr-x - root root 0 2015-09-23 17:44 >> /user/root/checkpoint/receivedBlockMetadata >> >> >> I restart spark and it reads from >> /user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2. But it seems >> that the data in it lost some rdds so it is not able to recovery. While I >> find other directories in checkpoint/, like >> /user/root/checkpoint/checkpoint-144300120. What does it used for? >> Can I recovery my data from that? >> >
Re: Checkpoint directory structure
BTW, I just kill the application and restart it. Then the application cannot recover from checkpoint because of some lost of RDD. So I'm wonder, if there are some failure in the application, won't it possible not be able to recovery from checkpoint? Bin Wang 于2015年9月23日周三 下午6:58写道： > I find the checkpoint directory structure is like this: > > -rw-r--r-- 1 root root 134820 2015-09-23 16:55 > /user/root/checkpoint/checkpoint-144299850 > -rw-r--r-- 1 root root 134768 2015-09-23 17:00 > /user/root/checkpoint/checkpoint-144299880 > -rw-r--r-- 1 root root 134895 2015-09-23 17:05 > /user/root/checkpoint/checkpoint-144299910 > -rw-r--r-- 1 root root 134899 2015-09-23 17:10 > /user/root/checkpoint/checkpoint-144299940 > -rw-r--r-- 1 root root 134913 2015-09-23 17:15 > /user/root/checkpoint/checkpoint-144299970 > -rw-r--r-- 1 root root 134928 2015-09-23 17:20 > /user/root/checkpoint/checkpoint-14430 > -rw-r--r-- 1 root root 134987 2015-09-23 17:25 > /user/root/checkpoint/checkpoint-144300030 > -rw-r--r-- 1 root root 134944 2015-09-23 17:30 > /user/root/checkpoint/checkpoint-144300060 > -rw-r--r-- 1 root root 134956 2015-09-23 17:35 > /user/root/checkpoint/checkpoint-144300090 > -rw-r--r-- 1 root root 135244 2015-09-23 17:40 > /user/root/checkpoint/checkpoint-144300120 > drwxr-xr-x - root root 0 2015-09-23 18:48 > /user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2 > drwxr-xr-x - root root 0 2015-09-23 17:44 > /user/root/checkpoint/receivedBlockMetadata > > > I restart spark and it reads from > /user/root/checkpoint/d3714249-e03a-45c7-a0d5-1dc870b7d9f2. But it seems > that the data in it lost some rdds so it is not able to recovery. While I > find other directories in checkpoint/, like > /user/root/checkpoint/checkpoint-144300120. What does it used for? > Can I recovery my data from that? >
