I am trying to connect ElasticSerach 5.6.6 from Spark 1.6.
Following are configured in my code. Is there anything else I am missing ?
"xpack.security.user"
"xpack.security.transport.ssl.enabled"
"xpack.security.transport.ssl.keystore.path"
"xpack.security.transport.ssl.keystore.password"
"xpack.security.transport.ssl.truststore.path"
"xpack.security.transport.ssl.truststore.password"
Getting follwoung issues:
2018-03-07 07:33:01,509 WARN [task-result-getter-2] scheduler.TaskSetManager(70): Lost task 2.0 in stage 6.0 (TID 150, ip-172-30-4-42.ec2.internal, executor 3): org.elasticsearch.hadoop.EsHadoopIllegalArgumentException: Cannot detect ES version - typically this happens if the network/Elasticsearch cluster is not accessible or when targeting a WAN/Cloud instance without the proper setting 'es.nodes.wan.only'
at org.elasticsearch.hadoop.rest.InitializationUtils.discoverEsVersion(InitializationUtils.java:250)
at org.elasticsearch.hadoop.rest.RestService.createWriter(RestService.java:546)
at org.elasticsearch.spark.rdd.EsRDDWriter.write(EsRDDWriter.scala:58)
at org.elasticsearch.spark.rdd.EsSpark$$anonfun$doSaveToEs$1.apply(EsSpark.scala:102)
at org.elasticsearch.spark.rdd.EsSpark$$anonfun$doSaveToEs$1.apply(EsSpark.scala:102)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
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:748)
Caused by: org.elasticsearch.hadoop.rest.EsHadoopTransportException: javax.net.ssl.SSLException: java.lang.RuntimeException: Unexpected error: java.security.InvalidAlgorithmParameterException: the trustAnchors parameter must be non-empty
at org.elasticsearch.hadoop.rest.NetworkClient.execute(NetworkClient.java:124)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:444)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:424)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:428)
at org.elasticsearch.hadoop.rest.RestClient.get(RestClient.java:154)
at org.elasticsearch.hadoop.rest.RestClient.remoteEsVersion(RestClient.java:609)
at org.elasticsearch.hadoop.rest.InitializationUtils.discoverEsVersion(InitializationUtils.java:243)
Caused by: org.elasticsearch.hadoop.rest.EsHadoopTransportException: javax.net.ssl.SSLException: java.lang.RuntimeException: Unexpected error: java.security.InvalidAlgorithmParameterException: the trustAnchors parameter must be non-empty
at org.elasticsearch.hadoop.rest.NetworkClient.execute(NetworkClient.java:124)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:444)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:424)
at org.elasticsearch.hadoop.rest.RestClient.execute(RestClient.java:428)
at org.elasticsearch.hadoop.rest.RestClient.get(RestClient.java:154)
at org.elasticsearch.hadoop.rest.RestClient.remoteEsVersion(RestClient.java:609)
at org.elasticsearch.hadoop.rest.InitializationUtils.discoverEsVersion(InitializationUtils.java:243)
As we were executing the job in spark file path need to be file:///<yourdirectory>/<filename>
Related
I need help please getting spark working in windows cluster of 3 nodes. I am able to download and configure and run the master node and worker nodes. the worker nodes are registered successfully with the master. Im able to see both worker nodes in the Master UI. When I try to submit a job using:
spark-submit --master spark://IP:7077 hello_world.py
Spark continuously try to start multiple executors but the all failed with code exit 1 and it doesnt stop until I kill it. when I check the log in the UI for each worker Im seeing the following error:
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1894)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:61)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:424)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:413)
at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:102)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$9(CoarseGrainedExecutorBackend.scala:444)
at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:985)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:984)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$7(CoarseGrainedExecutorBackend.scala:442)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878)
... 4 more
**Caused by: java.io.IOException: Failed to connect to <Master DNS>/<Master IP>:56785
at **org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:288)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: no further information: <Master DNS>/<Master IP>:56785
Caused by: java.net.ConnectException: Connection refused: no further information
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:710)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496)
at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986)
at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:748)
Im using Spark: spark-3.3.1-bin-hadoop3
Please help.
Thanks
The application to run
I have recently upgraded my DSE version from 4.8.4 to 4.8.8 and I am seeing the following unexpected result.
I am using : spark-cassandra-connector-java_2.10: 1.4.2
spark-streaming_2.10: 1.4.1
spark-core_2.10 1.4.1
WARN 2016-06-23 21:28:50,132 org.apache.spark.scheduler.TaskSetManager: Lost task 3.0 in stage 3365.0 (TID 6731, 172.31.17.116): java.lang.ExceptionInInitializerError
at com.dynosense.dynospark.SparkApp$2.call(SparkApp.java:107)
at com.dynosense.dynospark.SparkApp$2.call(SparkApp.java:103)
at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1027)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1508)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1792)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1792)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: com.datastax.spark.connector.util.ConfigCheck$ConnectorConfigurationException: Invalid Config Variables
Only known spark.cassandra.* variables are allowed when using the Spark Cassandra Connector.
spark.cassandra.connection.host.autoUpdate is not a valid Spark Cassandra Connector variable.
No likely matches found.
at com.datastax.spark.connector.util.ConfigCheck$.checkConfig(ConfigCheck.scala:46)
at com.datastax.spark.connector.cql.CassandraConnectorConf$.apply(CassandraConnectorConf.scala:171)
at com.datastax.spark.connector.cql.CassandraConnector$.apply(CassandraConnector.scala:192)
at com.datastax.spark.connector.cql.CassandraConnector.apply(CassandraConnector.scala)
at com.dynosense.dynospark.SparkApp.<clinit>(SparkApp.java:62)
... 15 more
I am running a spark streaming application with spark version 1.4.0
If I kill the worker (using kill -9) when my job is running, then the worker and executor both on that node dies,but it still shows up in the executors tab of the UI. The number of active tasks sometimes shows as negative on those executors.
Because of this the jobs keep on failing with the following exception
16/04/01 23:54:20 WARN TaskSetManager: Lost task 141.0 in stage 19859.0 (TID 190333, 192.168.33.96): java.io.IOException: Failed to connect to /192.168.33.97:63276
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
at org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
Caused by: java.net.ConnectException: Connection refused: /192.168.33.97:63276
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:716)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:208)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:287)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
... 1 more
On relaunching the worker a new executor is allocated but the old (dead) executor's entry is still there and the stages fail with "java.io.IOException: Failed to connect to " error.
I am getting the following exception on running my spark streaming job.
The same job has been running fine since long and when I added two new machines to my cluster I see the job failing with the following exception.
16/02/22 19:23:01 ERROR Executor: Exception in task 2.0 in stage 4229.0 (TID 22594)
java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1257)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:59)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
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:744)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:408)
at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:68)
at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:60)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$setConf(TorrentBroadcast.scala:73)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:167)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1254)
... 11 more
Caused by: java.lang.IllegalArgumentException
at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:152)
... 20 more
On changing the default compression codec which is snappy to lzf the errors are gone !!
How can I fix this using snappy as the codec ? Is there any downside of using lzf as snappy is the default codec that ships with spark ?
Spark Version is 1.4.0
Tried to Deploy profile "testFuse" into the child container and got this provision exception
Provision Exception:
org.osgi.service.resolver.ResolutionException: Unable to resolve dummy/0.0.0: missing requirement [dummy/0.0.0] osgi.identity; osgi.identity=testFuse; type=osgi.bundle; version="[1.0.0.SNAPSHOT,1.0.0.SNAPSHOT]" [caused by: Unable to resolve testFuse/1.0.0.SNAPSHOT: missing requirement [testFuse/1.0.0.SNAPSHOT] osgi.wiring.package; filter:="(&(osgi.wiring.package=org.apache.activemq.camel.component)(version>=5.9.0)(!(version>=6.0.0)))"]
at org.apache.felix.resolver.Candidates.populateResource(Candidates.java:285)
at org.apache.felix.resolver.Candidates.populate(Candidates.java:153)
at org.apache.felix.resolver.ResolverImpl.resolve(ResolverImpl.java:148)
at io.fabric8.agent.DeploymentBuilder.resolve(DeploymentBuilder.java:226)
at io.fabric8.agent.DeploymentAgent.doUpdate(DeploymentAgent.java:521)
at io.fabric8.agent.DeploymentAgent$2.run(DeploymentAgent.java:252)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)