You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@spark.apache.org by Karunya Padala <Ka...@infotech-enterprises.com> on 2014/09/11 14:34:28 UTC
problem in using Spark-Cassandra connector
Hi,
I am new to spark. I encountered an issue when trying to connect to Cassandra using Spark Cassandra connector. Can anyone help me. Following are the details.
1) Following Spark and Cassandra versions I am using on LUbuntu12.0.
i)spark-1.0.2-bin-hadoop2
ii) apache-cassandra-2.0.10
2) In the Cassandra, i created a key space, table and inserted some data.
3)Following libs are specified when starting the spark-shell.
antworks@INHN1I-DW1804:$ spark-shell --jars /home/antworks/lib-spark-cassandra/apache-cassandra-clientutil-2.0.10.jar,/home/antworks/lib-spark-cassandra/apache-cassandra-thrift-2.0.10.jar,/home/antworks/lib-spark-cassandra/cassandra-driver-core-2.0.2.jar,/home/antworks/lib-spark-cassandra/guava-15.0.jar,/home/antworks/lib-spark-cassandra/joda-convert-1.6.jar,/home/antworks/lib-spark-cassandra/joda-time-2.3.jar,/home/antworks/lib-spark-cassandra/libthrift-0.9.1.jar,/home/antworks/lib-spark-cassandra/spark-cassandra-connector_2.10-1.0.0-rc3.jar
4) when running the stmt val rdd = sc.cassandraTable("EmailKeySpace", "Emails")encountered following issue.
My application connecting to Cassandra and immediately disconnecting and throwing java.io.IOException: Table not found: EmailKeySpace.Emails
Here is the stack trace.
scala> import com.datastax.spark.connector._
import com.datastax.spark.connector._
scala> val rdd = sc.cassandraTable("EmailKeySpace", "Emails")
14/09/11 23:06:51 WARN FrameCompressor: Cannot find LZ4 class, you should make sure the LZ4 library is in the classpath if you intend to use it. LZ4 compression will not be available for the protocol.
14/09/11 23:06:51 INFO Cluster: New Cassandra host /172.23.1.68:9042 added
14/09/11 23:06:51 INFO CassandraConnector: Connected to Cassandra cluster: AWCluster
14/09/11 23:06:52 INFO CassandraConnector: Disconnected from Cassandra cluster: AWCluster
java.io.IOException: Table not found: EmailKeySpace.Emails
at com.datastax.spark.connector.rdd.CassandraRDD.tableDef$lzycompute(CassandraRDD.scala:208)
at com.datastax.spark.connector.rdd.CassandraRDD.tableDef(CassandraRDD.scala:205)
at com.datastax.spark.connector.rdd.CassandraRDD.<init>(CassandraRDD.scala:212)
at com.datastax.spark.connector.SparkContextFunctions.cassandraTable(SparkContextFunctions.scala:48)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:20)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:22)
at $iwC$$iwC$$iwC.<init>(<console>:24)
at $iwC$$iwC.<init>(<console>:26)
at $iwC.<init>(<console>:28)
at <init>(<console>:30)
at .<init>(<console>:34)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:303)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
________________________________
DISCLAIMER:
This email may contain confidential information and is intended only for the use of the specific individual(s) to which it is addressed. If you are not the intended recipient of this email, you are hereby notified that any unauthorized use, dissemination or copying of this email or the information contained in it or attached to it is strictly prohibited. If you received this message in error, please immediately notify the sender at Cyient and delete the original message.
RE: problem in using Spark-Cassandra connector
Posted by Karunya Padala <Ka...@infotech-enterprises.com>.
I have created key space called EmailKeySpace’and table called Emails and inserted some data in the Cassandra. See my Cassandra console screen shot.
[cid:image001.png@01CFCDEB.8FB55CB0]
Regards,
Karunya.
From: Reddy Raja [mailto:areddyraja@gmail.com]
Sent: 11 September 2014 18:07
To: Karunya Padala
Cc: user@spark.incubator.apache.org
Subject: Re: problem in using Spark-Cassandra connector
You will have to create create KeySpace and Table.
See the message,
Table not found: EmailKeySpace.Emails
Looks like you have not created the Emails table.
On Thu, Sep 11, 2014 at 6:04 PM, Karunya Padala <Ka...@infotech-enterprises.com>> wrote:
Hi,
I am new to spark. I encountered an issue when trying to connect to Cassandra using Spark Cassandra connector. Can anyone help me. Following are the details.
1) Following Spark and Cassandra versions I am using on LUbuntu12.0.
i)spark-1.0.2-bin-hadoop2
ii) apache-cassandra-2.0.10
2) In the Cassandra, i created a key space, table and inserted some data.
3)Following libs are specified when starting the spark-shell.
antworks@INHN1I-DW1804:$ spark-shell --jars /home/antworks/lib-spark-cassandra/apache-cassandra-clientutil-2.0.10.jar,/home/antworks/lib-spark-cassandra/apache-cassandra-thrift-2.0.10.jar,/home/antworks/lib-spark-cassandra/cassandra-driver-core-2.0.2.jar,/home/antworks/lib-spark-cassandra/guava-15.0.jar,/home/antworks/lib-spark-cassandra/joda-convert-1.6.jar,/home/antworks/lib-spark-cassandra/joda-time-2.3.jar,/home/antworks/lib-spark-cassandra/libthrift-0.9.1.jar,/home/antworks/lib-spark-cassandra/spark-cassandra-connector_2.10-1.0.0-rc3.jar
4) when running the stmt val rdd = sc.cassandraTable("EmailKeySpace", "Emails")encountered following issue.
My application connecting to Cassandra and immediately disconnecting and throwing java.io.IOException: Table not found: EmailKeySpace.Emails
Here is the stack trace.
scala> import com.datastax.spark.connector._
import com.datastax.spark.connector._
scala> val rdd = sc.cassandraTable("EmailKeySpace", "Emails")
14/09/11 23:06:51 WARN FrameCompressor: Cannot find LZ4 class, you should make sure the LZ4 library is in the classpath if you intend to use it. LZ4 compression will not be available for the protocol.
14/09/11 23:06:51 INFO Cluster: New Cassandra host /172.23.1.68:9042<http://172.23.1.68:9042> added
14/09/11 23:06:51 INFO CassandraConnector: Connected to Cassandra cluster: AWCluster
14/09/11 23:06:52 INFO CassandraConnector: Disconnected from Cassandra cluster: AWCluster
java.io.IOException: Table not found: EmailKeySpace.Emails
at com.datastax.spark.connector.rdd.CassandraRDD.tableDef$lzycompute(CassandraRDD.scala:208)
at com.datastax.spark.connector.rdd.CassandraRDD.tableDef(CassandraRDD.scala:205)
at com.datastax.spark.connector.rdd.CassandraRDD.<init>(CassandraRDD.scala:212)
at com.datastax.spark.connector.SparkContextFunctions.cassandraTable(SparkContextFunctions.scala:48)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:20)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:22)
at $iwC$$iwC$$iwC.<init>(<console>:24)
at $iwC$$iwC.<init>(<console>:26)
at $iwC.<init>(<console>:28)
at <init>(<console>:30)
at .<init>(<console>:34)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:303)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
________________________________
DISCLAIMER:
This email may contain confidential information and is intended only for the use of the specific individual(s) to which it is addressed. If you are not the intended recipient of this email, you are hereby notified that any unauthorized use, dissemination or copying of this email or the information contained in it or attached to it is strictly prohibited. If you received this message in error, please immediately notify the sender at Cyient and delete the original message.
--
"In this world, you either have an excuse or a story. I preferred to have a story"
Re: problem in using Spark-Cassandra connector
Posted by Reddy Raja <ar...@gmail.com>.
You will have to create create KeySpace and Table.
See the message,
Table not found: EmailKeySpace.Emails
Looks like you have not created the Emails table.
On Thu, Sep 11, 2014 at 6:04 PM, Karunya Padala <
Karunya.Padala@infotech-enterprises.com> wrote:
>
>
> Hi,
>
>
>
> I am new to spark. I encountered an issue when trying to connect to
> Cassandra using Spark Cassandra connector. Can anyone help me. Following
> are the details.
>
>
>
> 1) Following Spark and Cassandra versions I am using on LUbuntu12.0.
>
> i)spark-1.0.2-bin-hadoop2
>
> ii) apache-cassandra-2.0.10
>
>
>
> 2) In the Cassandra, i created a key space, table and inserted some data.
>
>
>
> 3)Following libs are specified when starting the spark-shell.
>
> antworks@INHN1I-DW1804:$ spark-shell --jars
> /home/antworks/lib-spark-cassandra/apache-cassandra-clientutil-2.0.10.jar,/home/antworks/lib-spark-cassandra/apache-cassandra-thrift-2.0.10.jar,/home/antworks/lib-spark-cassandra/cassandra-driver-core-2.0.2.jar,/home/antworks/lib-spark-cassandra/guava-15.0.jar,/home/antworks/lib-spark-cassandra/joda-convert-1.6.jar,/home/antworks/lib-spark-cassandra/joda-time-2.3.jar,/home/antworks/lib-spark-cassandra/libthrift-0.9.1.jar,/home/antworks/lib-spark-cassandra/spark-cassandra-connector_2.10-1.0.0-rc3.jar
>
>
>
> 4) when running the stmt val rdd = sc.cassandraTable("EmailKeySpace",
> "Emails")encountered following issue.
>
>
>
> My application connecting to Cassandra and immediately disconnecting and
> throwing java.io.IOException: Table not found: EmailKeySpace.Emails
>
> Here is the stack trace.
>
>
>
> scala> import com.datastax.spark.connector._
>
> import com.datastax.spark.connector._
>
>
>
> scala> val rdd = sc.cassandraTable("EmailKeySpace", "Emails")
>
> 14/09/11 23:06:51 WARN FrameCompressor: Cannot find LZ4 class, you should
> make sure the LZ4 library is in the classpath if you intend to use it. LZ4
> compression will not be available for the protocol.
>
> 14/09/11 23:06:51 INFO Cluster: New Cassandra host /172.23.1.68:9042 added
>
> 14/09/11 23:06:51 INFO CassandraConnector: Connected to Cassandra cluster:
> AWCluster
>
> 14/09/11 23:06:52 INFO CassandraConnector: Disconnected from Cassandra
> cluster: AWCluster
>
> java.io.IOException: Table not found: EmailKeySpace.Emails
>
> at
> com.datastax.spark.connector.rdd.CassandraRDD.tableDef$lzycompute(CassandraRDD.scala:208)
>
> at
> com.datastax.spark.connector.rdd.CassandraRDD.tableDef(CassandraRDD.scala:205)
>
> at
> com.datastax.spark.connector.rdd.CassandraRDD.<init>(CassandraRDD.scala:212)
>
> at
> com.datastax.spark.connector.SparkContextFunctions.cassandraTable(SparkContextFunctions.scala:48)
>
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
>
> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:20)
>
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:22)
>
> at $iwC$$iwC$$iwC.<init>(<console>:24)
>
> at $iwC$$iwC.<init>(<console>:26)
>
> at $iwC.<init>(<console>:28)
>
> at <init>(<console>:30)
>
> at .<init>(<console>:34)
>
> at .<clinit>(<console>)
>
> at .<init>(<console>:7)
>
> at .<clinit>(<console>)
>
> at $print(<console>)
>
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> at java.lang.reflect.Method.invoke(Method.java:606)
>
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
>
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
>
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
>
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
>
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
>
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
>
> at
> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601)
>
> at
> org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608)
>
> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
>
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
>
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
>
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
>
> at org.apache.spark.repl.Main$.main(Main.scala:31)
>
> at org.apache.spark.repl.Main.main(Main.scala)
>
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> at java.lang.reflect.Method.invoke(Method.java:606)
>
> at
> org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:303)
>
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
>
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>
>
>
>
>
>
>
> ------------------------------
>
> DISCLAIMER:
>
> This email may contain confidential information and is intended only for
> the use of the specific individual(s) to which it is addressed. If you are
> not the intended recipient of this email, you are hereby notified that any
> unauthorized use, dissemination or copying of this email or the information
> contained in it or attached to it is strictly prohibited. If you received
> this message in error, please immediately notify the sender at Cyient and
> delete the original message.
>
--
"In this world, you either have an excuse or a story. I preferred to have a
story"