ClassNotFoundException: org.apache.spark.SparkConf with spark on hive - hadoop

Question

I am trying to use SPARK as hive execution engine, but getting the below error. Spark 1.5.0 is installed and I am working with Hive 1.1.0 version with Hadoop 2.7.0 version.
hive_emp table is created as ORC format table in hive.
hive (Koushik)> insert into table hive_emp values (2,'Koushik',1);
Query ID = hduser_20150921072727_feba8363-258d-4d0b-8976-662e404bca88
Total jobs = 1
Launching Job 1 out of 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
java.lang.NoClassDefFoundError: org/apache/spark/SparkConf
at org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.generateSparkConf(HiveSparkClientFactory.java:140)
at org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.createHiveSparkClient(HiveSparkClientFactory.java:56)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:55)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionManagerImpl.getSession(SparkSessionManagerImpl.java:116)
at org.apache.hadoop.hive.ql.exec.spark.SparkUtilities.getSparkSession(SparkUtilities.java:113)
at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:95)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:88)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1638)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1397)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1183)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1039)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:207)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:159)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:370)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:754)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:615)
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:601)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.SparkConf
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:423)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:356)
... 25 more
FAILED: Execution Error, return code -101 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. org/apache/spark/SparkConf
I also set the spark path and execution engine in hive shell.
hduser#ubuntu:~$ spark-shell
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.5.0
/_/
Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_21)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
SQL context available as sqlContext.
scala> exit;
warning: there were 1 deprecation warning(s); re-run with -deprecation for details
hduser#ubuntu:~$ hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/lib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/auxlib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/lib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/auxlib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Logging initialized using configuration in file:/usr/lib/hive/conf/hive-log4j.properties
hive (default)> use Koushik;
OK
Time taken: 0.593 seconds
hive (Koushik)> set spark.home=/usr/local/src/spark;
I have also created a .hiverc as below
hduser#ubuntu:/usr/lib/hive/conf$ cat .hiverc
SET hive.cli.print.header=true;
set hive.cli.print.current.db=true;
set hive.auto.convert.join=true;
SET hbase.scan.cacheblock=0;
SET hbase.scan.cache=10000;
SET hbase.client.scanner.cache=10000;
SET hive.execution.engine=spark;
DEBUG mode error details given below:
hduser#ubuntu:~$ hive
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/lib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/auxlib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/lib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/auxlib/spark-assembly-1.5.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Logging initialized using configuration in file:/usr/lib/hive/conf/hive-log4j.properties
hive (default)> use Koushik;
OK
Time taken: 0.625 seconds
hive (Koushik)> set hive --hiveconf hive.root.logger=DEBUG
> ;
hive (Koushik)> set hive.execution.engine=spark;
hive (Koushik)> desc hive_emp;
OK
col_name data_type comment
empid int
empnm varchar(50)
deptid int
Time taken: 0.173 seconds, Fetched: 3 row(s)
hive (Koushik)> select * from hive_emp;
OK
hive_emp.empid hive_emp.empnm hive_emp.deptid
Time taken: 1.689 seconds
hive (Koushik)> insert into table hive_emp values (2,'Koushik',1);
Query ID = hduser_20151015112525_c96a458b-34f8-42ac-ab11-52c32479a29a
Total jobs = 1
Launching Job 1 out of 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
java.lang.NoSuchMethodError: org.apache.spark.scheduler.LiveListenerBus.addListener(Lorg/apache/spark/scheduler/SparkListener;)V
at org.apache.hadoop.hive.ql.exec.spark.LocalHiveSparkClient.<init>(LocalHiveSparkClient.java:85)
at org.apache.hadoop.hive.ql.exec.spark.LocalHiveSparkClient.getInstance(LocalHiveSparkClient.java:69)
at org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.createHiveSparkClient(HiveSparkClientFactory.java:56)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:55)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionManagerImpl.getSession(SparkSessionManagerImpl.java:116)
at org.apache.hadoop.hive.ql.exec.spark.SparkUtilities.getSparkSession(SparkUtilities.java:113)
at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:95)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:88)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1638)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1397)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1183)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1039)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:207)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:159)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:370)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:754)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:615)
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:601)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
FAILED: Execution Error, return code -101 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. org.apache.spark.scheduler.LiveListenerBus.addListener(Lorg/apache/spark/scheduler/SparkListener;)V
hive (Koushik)>
I have executed the above insert twice and both the times it fails. Please find the hive.log which generated today.hive.log

Answer 1

The reason for this error is hive not able to find the spark assembly jar.
export SPARK_HOME=/usr/local/src/spark or add the spark assembly jar in hive lib folder. This issue will be resolved.

Answer 2

I too was facing the same issue on my Ubuntu 14.4 VitualBox. Here are the steps I have followed to fix:
hive> set spark.home=/usr/local/spark;
hive> set spark.master=local;
hive> SET hive.execution.engine=spark;
Added spark-assembly jar file as shown below:
hive> ADD jar /usr/local/spark/lib/spark-assembly-1.4.0-hadoop2.6.0.jar;

Answer 3

Like you, I encountered the same problem when deploying hive on spark. Finally, after my research, it was found that because hive could not load spark jars, so I made the following changes to hive-env.sh.
Add in hive-env.sh:
//Pay attention to your spark path
export SPARK_HOME=/opt/module/spark-2.4.5-bin-without-hive
export SPARK_JARS=""
for jar in `ls $SPARK_HOME/jars`; do
export SPARK_JARS=$SPARK_JARS:$SPARK_HOME/jars/$jar
done
export HIVE_AUX_JARS_PATH=$SPARK_JARS
中文： 这就是你的hive启动时没加载到spark的jars,所以在hive-env.sh里配置一下环境就可以了。
注意这里面的路径，我最下面的lzo你也可以不配，可以参考上面的这个配置（只是少了lzo）
export SPARK_HOME=/opt/module/spark-2.4.5-bin-without-hive
export SPARK_JARS=""
for jar in `ls $SPARK_HOME/jars`; do
export SPARK_JARS=$SPARK_JARS:$SPARK_HOME/jars/$jar
done
export HIVE_AUX_JARS_PATH=/opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.21-SNAPSHOT.jar$SPARK_JARS

Answer 4

I was running into the same issue, and it was because the hive is not able to find spark files. there is a well-detailed info step if you running spark on YARN. I followed Spark 2.3 on Yarn3.0 with Hive 3.1
https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark%3A+Getting+Started
To run with YARN mode (yarn-client or yarn-cluster), link the following jars to HIVE_HOME/lib.
scala-library
spark-core
spark-network-common
Used below Steps:
Get all the files for my version from /usr/hdp/current/spark2-client/jars
Copied all the above files from the spark directory to /usr.hdp/current/hive-client
Create symlinks in hive dir files in the same dir without and just .jar suffix.
Restarted the hiveserver2 to load the new files.
It worked, and now Hive can load the files, and I can submit a hive query as Spark job on Yarn. also, the files will have a version suffix at the end