03-17-2017 08:35 AM
Hi all
We have Spark 2.0 (*) installed from the Cloudera parcel on our cluster (CDH 5.9.0).
When running a quite simple App which just reads in some csv files and does a groupBy I always receive errors.
The App is submitted with:
spark2-submit --class my_class myapp-1.0-SNAPSHOT.jar
And I receive the following error message:
java.io.InvalidClassException: org.apache.commons.lang3.time.FastDateFormat; local class incompatible: stream classdesc serialVersionUID = 2, local class serialVersionUID = 1
I figured out that there are multiple versions of lang3 installed with the Cloudera release and modified the spark2-submit to:
spark2-submit --conf spark.driver.userClassPathFirst=true --conf spark.executor.userClassPathFirst=true --jars /var/opt/teradata/cloudera/parcels/CDH/jars/commons-lang3-3.3.2.jar --class my_class myapp-1.0-SNAPSHOT.jar
This way I cloud get rid of the first error message, but now I get:
java.lang.ClassCastException: cannot assign instance of org.apache.commons.lang3.time.FastDateFormat to field org.apache.spark.sql.execution.datasources.csv.CSVOptions.dateFormat of type org.apache.commons.lang3.time.FastDateFormat in instance of org.apache.spark.sql.execution.datasources.csv.CSVOptions
The App was written in Scala and compiled using Maven. The source code (**) and the maven pom file (***) are attached at the bottom of this post.
Does anybody have an idea on solving this issue?
Any help is highly appreciated!
Thanks a lot in advance!
Kind Regards
(*)
$spark2-submit --version Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.0.0.cloudera1 /_/ Branch HEAD Compiled by user jenkins on 2016-12-06T18:34:13Z Revision 2389f44e0185f33969d782ed09b41ae45fe30324
(**)
import org.apache.spark.sql.SparkSession object my_class { def main(args: Array[String]): Unit = { val spark = SparkSession .builder .appName("myapp") .getOrCreate() val csv = spark.read.option("header", value = false).csv("/path/to/folder/with/some/csv/files/") val pivot = csv.groupBy("_c0").count() csv.take(10).foreach(println) pivot.take(10).foreach(println) spark.stop() } }
(***)
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>de.lht.datalab.ingestion</groupId> <artifactId>myapp</artifactId> <version>1.0-SNAPSHOT</version> <properties> <scala.version.base>2.11</scala.version.base> <scala.version>${scala.version.base}.8</scala.version> <spark.version>2.0.0.cloudera1</spark.version> </properties> <repositories> <repository> <id>cloudera</id> <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url> </repository> </repositories> <dependencies> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_${scala.version.base}</artifactId> <version>${spark.version}</version> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <version>2.15.2</version> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> </plugin> </plugins> </build> </project>
03-18-2017 03:23 AM
This is due to a difference in the version of commons-lang3 you use and the one Spark does, generally. See https://issues.apache.org/jira/browse/ZEPPELIN-1977 for example.
I believe you'll find that it's resolved in the latest Spark 2 release for CDH.
http://community.cloudera.com/t5/Community-News-Release/ANNOUNCE-Spark-2-0-Release-2/m-p/51464#M161
03-20-2017 06:33 AM
Thanks a lot.
With the given workaround at the end of the Zeppelin issue, it works for me now.
04-08-2017 12:07 PM
What is the solution? (I do not have an enterprise account and we may not be able to upgrade the cluster soon enough).