The exact Exception is as follows
com.datastax.driver.core.exceptions.CodecNotFoundException: Codec not found for requested operation: [varchar <-> java.math.BigDecimal]
These are the versions of Software I am using Spark 1.5 Datastax-cassandra 3.2.1 CDH 5.5.1
The code I am trying to execute is a Spark program using the java api and it basically reads data (csv's) from hdfs and loads it into cassandra tables . I am using the spark-cassandra-connector. I had a lot of issues regarding the google s guava library conflict initially which I was able to resolve by shading the guava library and building a snap-shot jar with all the dependencies.
However I was able to load data for some files but for some files I get the Codec Exception . When I researched on this issue I got these following threads on the same issue.
https://groups.google.com/a/lists.datastax.com/forum/#!topic/java-driver-user/yZyaOQ-wazk
https://groups.google.com/a/lists.datastax.com/forum/#!topic/java-driver-user/yZyaOQ-wazk
After going through these discussion what I understand is either it is a wrong version of the cassandra-driver I am using . Or there is still a class path issue related to the guava library as cassandra 3.0 and later versions use guava 16.0.1 and the discussions above say that there might be a lower version of the guava present in the class path .
Here is pom.xml file
 <dependencies>
 <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.5.0</version> 
</dependency>
<dependency>
  <groupId>junit</groupId>
  <artifactId>junit</artifactId>
  <version>3.8.1</version>
  <scope>test</scope>
</dependency>
<dependency>
<groupId>com.datastax.spark</groupId>
<artifactId>spark-cassandra-connector-java_2.10</artifactId>
<version>1.5.0-M3</version>
</dependency>
<dependency>
<groupId>org.apache.cassandra</groupId>
<artifactId>cassandra-clientutil</artifactId>
<version>3.2.1</version>
</dependency>
</dependencies>
  <build>
<plugins>
    <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <version>2.3</version>
        <executions>
            <execution>
                <phase>package</phase>
                <goals>
                    <goal>shade</goal>
                </goals>
                <configuration>
                 <filters>
    <filter>
        <artifact>*:*</artifact>
        <excludes>
            <exclude>META-INF/*.SF</exclude>
            <exclude>META-INF/*.DSA</exclude>
            <exclude>META-INF/*.RSA</exclude>
        </excludes>
    </filter>
</filters>
                    <relocations>
                        <relocation>
                            <pattern>com.google</pattern>
                            <shadedPattern>com.pointcross.shaded.google</shadedPattern>
                        </relocation>
                    </relocations>
                    <minimizeJar>false</minimizeJar>
                    <shadedArtifactAttached>true</shadedArtifactAttached>
                </configuration>
            </execution>
        </executions>
    </plugin>
</plugins>
</build>
</project>
and these are the dependencies that were downloaded using the above pom
spark-core_2.10-1.5.0.jar
spark-cassandra-connector-   java_2.10-1.5.0-M3.jar
spark-cassandra-connector_2.10-1.5.0-M3.jar
spark-repl_2.10-1.5.1.jar
spark-bagel_2.10-1.5.1.jar
spark-mllib_2.10-1.5.1.jar
spark-streaming_2.10-1.5.1.jar
spark-graphx_2.10-1.5.1.jar
guava-16.0.1.jar
cassandra-clientutil-3.2.1.jar
cassandra-driver-core-3.0.0-alpha4.jar
Above are some of the main dependencies on in my snap-shot jar.
Y is the CodecNotFoundException ? Is it because of the class path (guava) ? or cassandra-driver (cassandra-driver-core-3.0.0-alpha4.jar for datastax cassandra 3.2.1) or because of the code .
Another point is all the dates I am inserting to columns who's data type is timestamp .
Also when I do a spark-submit I see the class path in the logs , There are other guava versions which are under the hadoop libs . R these causing the problem ?
How do we specify the a user-specific class path while do a spark-submit. Will that help ?
Would be glad to get some points on these. Thanks
Following is the stacktrace
com.datastax.driver.core.exceptions.CodecNotFoundException: Codec not found for requested operation: [timestamp <-> java.lang.String]
at com.datastax.driver.core.CodecRegistry.notFound(CodecRegistry.java:689)
at com.datastax.driver.core.CodecRegistry.createCodec(CodecRegistry.java:550)
at com.datastax.driver.core.CodecRegistry.findCodec(CodecRegistry.java:530)
at com.datastax.driver.core.CodecRegistry.codecFor(CodecRegistry.java:485)
at com.datastax.driver.core.AbstractGettableByIndexData.codecFor(AbstractGettableByIndexData.java:85)
at com.datastax.driver.core.BoundStatement.bind(BoundStatement.java:198)
at com.datastax.driver.core.DefaultPreparedStatement.bind(DefaultPreparedStatement.java:126)
at com.cassandra.test.LoadDataToCassandra$1.call(LoadDataToCassandra.java:223)
at com.cassandra.test.LoadDataToCassandra$1.call(LoadDataToCassandra.java:1)
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:1555)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1121)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1121)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
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)
I also got
com.datastax.driver.core.exceptions.CodecNotFoundException: Codec not found for requested operation: [Math.BigDecimal <-> java.lang.String]