About amit_dass

amit_dass · ‎01-23-2018

I am running Spark job on Hortonworks cluster . In source we have Oracle DB . we are fetching records from Oracle and analyse. I am getting below error message , I refer many solution accordingly I am using ojdbc7.jar . Please guide me on this 18/01/22 07:04:09 ERROR Executor: Exception in task 0.0 in stage 15.0 (TID 1069) java.sql.SQLException: Protocol violation: [ 6, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, 21, 7, ] at oracle.jdbc.driver.T4CTTIfun.receive(T4CTTIfun.java:536) at oracle.jdbc.driver.T4CTTIfun.doRPC(T4CTTIfun.java:257) at oracle.jdbc.driver.T4C8Oall.doOALL(T4C8Oall.java:587) at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:225) at oracle.jdbc.driver.T4CPreparedStatement.fetch(T4CPreparedStatement.java:1066) at oracle.jdbc.driver.OracleStatement.fetchMoreRows(OracleStatement.java:3716) at oracle.jdbc.driver.InsensitiveScrollableResultSet.fetchMoreRows(InsensitiveScrollableResultSet.java:1015) at oracle.jdbc.driver.InsensitiveScrollableResultSet.absoluteInternal(InsensitiveScrollableResultSet.java:979) at oracle.jdbc.driver.InsensitiveScrollableResultSet.next(InsensitiveScrollableResultSet.java:579) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.getNext(JDBCRDD.scala:369) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.hasNext(JDBCRDD.scala:498) at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoin$$anonfun$2.apply(BroadcastNestedLoopJoin.scala:105) at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoin$$anonfun$2.apply(BroadcastNestedLoopJoin.scala:96) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717) at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) 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) End of LogType:stderr. This log file belongs to a running container (container_e13_1503300866021_880451_01_000002) and so may not be complete. LogType:launch_container.sh Log Upload Time:Tue Jan 23 02:09:02 -0500 2018

amit_dass · ‎12-18-2017

Issue got resolved . Follow this checklists -- 1. Check Zookeeper running . 2. Check Kafka Producer and Consumer running fine on console, create one topic and list it this is to ensure that kafka running fine . 3. Similar version use in sbt like for Kafka 0.9 below should be use : org.apache.flink" %% "flink-connector-kafka-0.9" % flinkVersion % "provided" and import in scala program : import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaProducer09, FlinkKafkaConsumer09} For Kafka 0.10 org.apache.flink" %% "flink-connector-kafka-0.10" % flinkVersion % "provided" And Import in scala program : import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaProducer10, FlinkKafkaConsumer10}

amit_dass · ‎12-18-2017

@Fabian Hueske Please guide here

amit_dass · ‎12-18-2017

0favorite I am writing a Flink Kafka integration program as below but getting timeout error for kafka : <code>import org.apache.flink.streaming.api.scala._ import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer010, FlinkKafkaProducer010} import org.apache.flink.streaming.util.serialization.SimpleStringSchema import java.util.Properties object StreamKafkaProducer { def main(args: Array[String]) { val env = StreamExecutionEnvironment.getExecutionEnvironment val properties = new Properties() properties.setProperty("bootstrap.servers", "localhost:9092") properties.setProperty("zookeeper.connect", "localhost:2181") properties.setProperty("serializer.class", "kafka.serializer.StringEncoder") val stream: DataStream[String] =env.fromElements( ("Adam"), ("Sarah")) val kafkaProducer = new FlinkKafkaProducer010[String]( "localhost:9092", "output", new SimpleStringSchema ) // write data into Kafka stream.addSink(kafkaProducer) env.execute("Flink kafka integration ") } } From terminal I can see kafka and zookeeper are running but when I run above program from Intellij it is showing this error : <code>C:\Users\amdass\workspace\flink-project-master>sbt run Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=256m; support was removed in 8.0 [info] Loading project definition from C:\Users\amdass\workspace\flink- project-master\project [info] Set current project to Flink Project (in build file:/C:/Users/amdass/workspace/flink-project-master/) [info] Compiling 1 Scala source to C:\Users\amdass\workspace\flink-project- master\target\scala-2.11\classes... [info] Running org.example.StreamKafkaProducer SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. Connected to JobManager at Actor[akka://flink/user/jobmanager_1#-563113020] with leader session id 5a637740-5c73-4f69-a19e-c8ef7141efa1. 12/15/2017 14:41:49 Job execution switched to status RUNNING. 12/15/2017 14:41:49 Source: Collection Source(1/1) switched to SCHEDULED 12/15/2017 14:41:49 Sink: Unnamed(1/4) switched to SCHEDULED 12/15/2017 14:41:49 Sink: Unnamed(2/4) switched to SCHEDULED 12/15/2017 14:41:49 Sink: Unnamed(3/4) switched to SCHEDULED 12/15/2017 14:41:49 Sink: Unnamed(4/4) switched to SCHEDULED 12/15/2017 14:41:49 Source: Collection Source(1/1) switched to DEPLOYING 12/15/2017 14:41:49 Sink: Unnamed(1/4) switched to DEPLOYING 12/15/2017 14:41:49 Sink: Unnamed(2/4) switched to DEPLOYING 12/15/2017 14:41:49 Sink: Unnamed(3/4) switched to DEPLOYING 12/15/2017 14:41:49 Sink: Unnamed(4/4) switched to DEPLOYING 12/15/2017 14:41:50 Source: Collection Source(1/1) switched to RUNNING 12/15/2017 14:41:50 Sink: Unnamed(2/4) switched to RUNNING 12/15/2017 14:41:50 Sink: Unnamed(4/4) switched to RUNNING 12/15/2017 14:41:50 Sink: Unnamed(3/4) switched to RUNNING 12/15/2017 14:41:50 Sink: Unnamed(1/4) switched to RUNNING 12/15/2017 14:41:50 Source: Collection Source(1/1) switched to FINISHED 12/15/2017 14:41:50 Sink: Unnamed(3/4) switched to FINISHED 12/15/2017 14:41:50 Sink: Unnamed(4/4) switched to FINISHED 12/15/2017 14:42:50 Sink: Unnamed(1/4) switched to FAILED <b> org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms. </b> 12/15/2017 14:42:50 Sink: Unnamed(2/4) switched to FAILED org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms. 12/15/2017 14:42:50 Job execution switched to status FAILING. org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms. 12/15/2017 14:42:50 Job execution switched to status FAILED. [error] (run-main-0) org.apache.flink.runtime.client.JobExecutionException: Job execution failed. org.apache.flink.runtime.client.JobExecutionException: Job execution failed. at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply$mcV$sp(JobManager.scala:933) at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:876) at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:876) at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24) at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107 ) Caused by: org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms. [trace] Stack trace suppressed: run last *:run for the full output. java.lang.RuntimeException: Nonzero exit code: 1 at scala.sys.package$.error(package.scala:27) [trace] Stack trace suppressed: run last compile:run for the full output. [error] (compile:run) Nonzero exit code: 1 [error] Total time: 75 s, completed Dec 15, 2017 2:42:51 PM

amit_dass · ‎12-15-2017

@Fabian Hueske Need your help for below : https://stackoverflow.com/questions/47831484/flink-kafka-program-in-scala-giving-timeout-error-org-apache-kafka-common-errors

amit_dass · ‎12-15-2017

@Fabian Hueske Need your help for below : https://stackoverflow.com/questions/47831484/flink-kafka-program-in-scala-giving-timeout-error-org-apache-kafka-common-errors

amit_dass · ‎12-14-2017

Adding this detail : In its current version (1.4.0, Dec. 2017), Flink does not provide a built-in TableSource to ingest data from a relational database.

amit_dass · ‎12-14-2017

Hi , I am referring "https://flink.apache.org/news/2017/04/04/dynamic-tables.html" in that database configuration is not shown `val sensorTable = ??? // can be a CSV file, Kafka topic, database, or ... // register the table source tEnv.registerTableSource("sensors", sensorTable) I have to connect with relational source, do Flink have API for database or JDBC approach we need to use ? (Did we have any similar like for Apache Spark we have sqlcontext or sparksession object )

amit_dass · ‎11-13-2017

Do we know default partitions and replications for this topic __consumer_offsets (internal topic) ? By any chance if we loses this topic then do we have anything other then this to recover ? As you explained above , what I understand is now there is no current offset and commit offset concepts . Please add your valuable knowledge if it is not ?

amit_dass · ‎11-08-2017

I got the answer for this question : Number of partitions for a topic can only be increased, never decreased Reason for this as if we decrease the partition it will be data loss . We can delete current topic and recreate new one with required partition to achieve this .

amit_dass · ‎11-08-2017

Suppose at the time of creation of Topic we created a topic XX with 5 Partition and later we recognized that we dont need 2 , so can we reduce the number of partition for a Topic ?

amit_dass · ‎11-07-2017

Do we know for what purpose these files which will be created after starting Kafka server and all contains __consumer_offsets information in log . files are : state-change.log ,kafka-request.log,kafka-authorizer.log,controller.log,server.log,log-cleaner.log I have read that "__consumer_offsets" is the topic what type of details it holds ?

amit_dass · ‎11-07-2017

Please refer this for solution : https://community.hortonworks.com/questions/147131/kafka-hdp-doubt-current-offset-and-commit-offset.html?childToView=147156#comment-147156

amit_dass · ‎11-07-2017

I gone with this HDP Kafka PDF (https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.3/bk_kafka-component-guide/bk_kafka-component-guide.pdf) Can someone brief on this line : "Kafka consumers keep track of which messages have already been consumed by storing the current offset." Please also correct my understanding on Current Offset and Commit Offset : Current Offset is taken care by Kafka Broker . Commit Offset is taken care by Consumer .

amit_dass · ‎11-07-2017

I gone with this HDP Kafka PDF (https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.3/bk_kafka-component-guide/bk_kafka-component-guide.pdf) Can someone brief on this line : "Kafka consumers keep track of which messages have already been consumed by storing the current offset." Please also correct my understanding on Current Offset and Commit Offset : Current Offset is taken care by Kafka Broker . Commit Offset is taken care by Consumer .

amit_dass · ‎10-25-2017

Can someone explain following lines about num-executors and executor-memory Below written statement on hortonworks site (https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.4/bk_spark-guide/content/ch_tuning-spark.html#spark-job-status): There are tradeoffs between num-executors and executor-memory . Large executor memory does not imply better performance, due to JVM garbage collection. Sometimes it is better to configur a larger number of small JVMs than a small number of large JVMs.

amit_dass · ‎03-03-2017

Provided solution for "java.sql.SQLSyntaxErrorException: ORA-00933: SQL command not properly ended"

amit_dass · ‎03-03-2017

Issue in Sqoop : Oracle database to hdfs 17/03/02 19:44:28 WARN sqoop.ConnFactory: Parameter --driver is set to an explicit driver however appropriate connection manager is not being set (via --connection-manager). Sqoop is going to fall back to org.apache.sqoop.manager.GenericJdbcManager. Please specify explicitly which connection manager should be used next time. 17/03/02 19:44:28 INFO manager.SqlManager: Using default fetchSize of 1000 17/03/02 19:44:28 INFO tool.CodeGenTool: Beginning code generation 17/03/02 19:44:40 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM ABCSCHEMA.ABCTABLE AS t WHERE 1=0 17/03/02 19:44:40 ERROR manager.SqlManager: Error executing statement: java.sql.SQLSyntaxErrorException: ORA-00933: SQL command not properly ended java.sql.SQLSyntaxErrorException: ORA-00933: SQL command not properly ended at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:445) at oracle.jdbc.driver.T4CTTIoer.processError(T4CTTIoer.java:396) at oracle.jdbc.driver.T4C8Oall.processError(T4C8Oall.java:879) Solution : 1.Table name should be capital : SqoopOptions.setTableName("ABCSCHEMA.ABCTABLE"); String[] cols={"E_DATE","E_CATEGORY","E_COMPUTER","U_NAME","IPADDRESS","D_NAME","R_INSERT_DATE"}; SqoopOptions.setColumns(cols); SqoopOptions.setWhereClause("R_INSERT_DATE >=to_date('31-12-1900','DD-MM-YYYY')"); 2. Dont Specify Driver name in your program using below commands (refer this : https://issues.apache.org/jira/browse/SQOOP-457 ) So below lines not required in your program : // SqoopOptions.setDriverClassName(DriverDomain); //SqoopOptions.setConnManagerClassName("org.apache.sqoop.manager.GenericJdbcManager");

amit_dass · ‎02-09-2017

When we run from terminal its running fine . We are getting issue while submitting program from local (using eclipse) and phoenix is in these servers(10.40.17.183,10.40.17.155,10.40.17.129). Can you please validate hbase-site.xml ( Do I need to place this file to hbase/conf and Phoenix/bin for all three servers/nodes) <?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property> <name>hbase.rootdir</name> <value>hdfs://mycluster:8020/hbase</value> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> <property> <name>hbase.config.read.zookeeper.config</name> <value>true</value> </property> <property> <name>hbase.zookeeper.quorum</name> <value>namenode1,namenode2,datanode2</value> </property> <property> <name>hbase.zookeeper.property.dataDir</name> <value>/DBHADOOP/installations/zookeeper-3.4.5/zookeeper/zk1</value> </property> <property> <name>hbase.client.keyvalue.maxsize</name> <value>0</value> </property> <property> <name>hbase.client.scanner.timeout.period</name> <value>600000</value> </property> <property> <name>hbase.master</name> <value>mycluster:60000</value> <description>The host and port the HBase master runs at. </description> </property> <property> <name>hbase.regionserver.port</name> <value>60020</value> <description>The host and port the HBase master runs at. </description> </property> <property> <name>zookeeper.znode.parent</name> <value>/hbase</value> </property> <property> <name>hbase.zookeeper.peerport</name> <value>2888</value> </property> <property> <name>hbase.zookeeper.leaderport</name> <value>3888</value> </property> <property> <name>zookeeper.znode.clusterId</name> <value>12345</value> </property> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2181</value> <description>Property from ZooKeeper's config zoo.cfg. The port at which the clients will connect. </description> </property> <property> <name>hbase.rpc.timeout</name> <value>120000</value> <source>hbase-site.xml</source> </property> </configuration>

amit_dass · ‎02-08-2017

Do we also need to open port 2888,3888 which is for peer and lead?

amit_dass · ‎02-08-2017

As per jps HMaster running .. Please advice Server 1 : [hadoop@CDCUDHDPDB3 ~]$ sudo jps 5992 RunJar 23297 QuorumPeerMain 23781 Jps 13428 RunJar 13086 JobHistoryServer 2137 ResourceManager 22604 HMaster 7266 Master Server 2 : [hadoop@CDCUDHDPDB2 ~]$ sudo jps 19481 Worker 26187 HRegionServer 22091 NodeManager 30755 Jps 21979 DataNode 21797 NameNode 30017 QuorumPeerMain 30680 -- process information unavailable 21896 DFSZKFailoverController 26312 HMaster Server 3: [hadoop@CDCUDHDPDB1 ~]$ sudo jps 11820 Jps 8936 HRegionServer 18514 QuorumPeerMain 8365 NodeManager 6455 Worker 11695 -- process information unavailable 8254 DataNode

amit_dass · ‎02-08-2017

Josh Elser Please guide us

amit_dass · ‎02-08-2017

This program we are submitting from Eclipse local and Phoenix store in remote server. --------------------------------------------------------------------------------------- Java code: public static String driverName = "org.apache.phoenix.jdbc.PhoenixDriver"; try { Class.forName(driverName); System.out.println("In try"); conn = DriverManager.getConnection("jdbc:phoenix:10.40.17.183,10.40.17.155,10.40.17.129:2181:/hbase","",""); System.out.println("Connected"); conn.createStatement().execute("create table IF NOT EXISTS TEST0702(mykey integer not null primary key, asset_name varchar(50),item_name varchar(50),country_org_name varchar(100),branch_org_name varchar(100),dc_name varchar(100),building_name varchar(100),floor_desc varchar(500),cubicle_id varchar(500),ws_no varchar(500),iou_name varchar(500),monthly_count integer,month_year varchar(200),project_no varchar(200),project_name varchar(500),project_id varchar(200),project_status varchar(200),completion_date varchar(200),start_date varchar(200))"); conn.commit(); System.out.println("Table Created!!"); } Console Message : In try log4j:WARN No appenders could be found for logger (org.apache.hadoop.conf.Configuration.deprecation). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. org.apache.phoenix.exception.PhoenixIOException: org.apache.hadoop.hbase.MasterNotRunningException: Can't get connection to ZooKeeper: KeeperErrorCode = OperationTimeout at org.apache.phoenix.util.ServerUtil.parseServerException(ServerUtil.java:108) at org.apache.phoenix.query.ConnectionQueryServicesImpl.ensureTableCreated(ConnectionQueryServicesImpl.java:890) at org.apache.phoenix.query.ConnectionQueryServicesImpl.createTable(ConnectionQueryServicesImpl.java:1224) at org.apache.phoenix.query.DelegateConnectionQueryServices.createTable(DelegateConnectionQueryServices.java:113) at org.apache.phoenix.schema.MetaDataClient.createTableInternal(MetaDataClient.java:1937) at org.apache.phoenix.schema.MetaDataClient.createTable(MetaDataClient.java:751) at org.apache.phoenix.compile.CreateTableCompiler$2.execute(CreateTableCompiler.java:186) at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:314) at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:306) at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53) at org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:304) at org.apache.phoenix.jdbc.PhoenixStatement.executeUpdate(PhoenixStatement.java:1363) at org.apache.phoenix.query.ConnectionQueryServicesImpl$12.call(ConnectionQueryServicesImpl.java:1911) at org.apache.phoenix.query.ConnectionQueryServicesImpl$12.call(ConnectionQueryServicesImpl.java:1880) at org.apache.phoenix.util.PhoenixContextExecutor.call(PhoenixContextExecutor.java:77) at org.apache.phoenix.query.ConnectionQueryServicesImpl.init(ConnectionQueryServicesImpl.java:1880) at org.apache.phoenix.jdbc.PhoenixDriver.getConnectionQueryServices(PhoenixDriver.java:180) at org.apache.phoenix.jdbc.PhoenixEmbeddedDriver.connect(PhoenixEmbeddedDriver.java:132) at org.apache.phoenix.jdbc.PhoenixDriver.connect(PhoenixDriver.java:151) at java.sql.DriverManager.getConnection(DriverManager.java:571) at java.sql.DriverManager.getConnection(DriverManager.java:215) at PhoenixConnection.getConnection(PhoenixConnection.java:38) at PhoenixConnection.main(PhoenixConnection.java:17) Caused by: org.apache.hadoop.hbase.MasterNotRunningException: org.apache.hadoop.hbase.MasterNotRunningException: Can't get connection to ZooKeeper: KeeperErrorCode = OperationTimeout at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$StubMaker.makeStub(HConnectionManager.java:1698) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$MasterServiceStubMaker.makeStub(HConnectionManager.java:1724) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.getKeepAliveMasterService(HConnectionManager.java:1931) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.getHTableDescriptor(HConnectionManager.java:2732) at org.apache.hadoop.hbase.client.HBaseAdmin.getTableDescriptor(HBaseAdmin.java:426) at org.apache.hadoop.hbase.client.HBaseAdmin.getTableDescriptor(HBaseAdmin.java:431) at org.apache.phoenix.query.ConnectionQueryServicesImpl.ensureTableCreated(ConnectionQueryServicesImpl.java:824) ... 21 more Caused by: org.apache.hadoop.hbase.MasterNotRunningException: Can't get connection to ZooKeeper: KeeperErrorCode = OperationTimeout at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.checkIfBaseNodeAvailable(HConnectionManager.java:934) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.access$600(HConnectionManager.java:597) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$StubMaker.makeStubNoRetries(HConnectionManager.java:1624) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation$StubMaker.makeStub(HConnectionManager.java:1670) ... 27 more Caused by: org.apache.zookeeper.KeeperException$OperationTimeoutException: KeeperErrorCode = OperationTimeout at org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper.checkZk(RecoverableZooKeeper.java:145) at org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper.exists(RecoverableZooKeeper.java:222) at org.apache.hadoop.hbase.zookeeper.ZKUtil.checkExists(ZKUtil.java:481) at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.checkIfBaseNodeAvailable(HConnectionManager.java:923) ... 30 more

amit_dass · ‎11-21-2016

This issue is solved now . Thanks

amit_dass · ‎11-15-2016

@Josh Elser Please guide here

amit_dass · ‎11-15-2016

Hi @Raja Ray We are also getting the same issue when I try to fix the hbase issue using -fix . we are getting error "ERROR: java.io.IOException: Table Namespace Manager not ready yet, try again later" while creating a hbase table

amit_dass · ‎11-11-2016

I am looking for the easy explanation on Map Reduce phase - From InputSplit to Reducer . Role of InputSplit ,RecordReader for Map Phase When Shuffle/Sort Phase run Partition phase How the data goes to reducer

amit_dass · ‎10-20-2016

As both data resides on hdfs . So which is best in terms of Storage / Memory etc.

amit_dass · ‎10-20-2016

Do any one help me to write Sqoop script with Java API ?

amit_dass · ‎10-20-2016

Can anyone clarify this : Apache Cassandra is a key-value or a column-oriented (or tabular) database management system?

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Re: Flink Kafka program in scala giving timeout er...

Re: kafka Topic - Can we decrease partition for a ...

Re: How to change location of the external table i...

java.sql.SQLException: Protocol violation: [ 6, 7,...

Re: Flink Kafka program in scala giving timeout er...

Re: Flink Kafka program in scala giving timeout er...

Flink Kafka program in scala giving timeout error ...

Re: Flink Table Api how to connect with relational...

Re: Flink Table Api how to connect with relational...

Re: Flink Table Api how to connect with relational...

Flink Table Api how to connect with relational sou...

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