This tutorial guides you through the installation and configuration of CarbonData in the following two modes :
followed by :
Hadoop HDFS and Yarn should be installed and running.
Spark should be installed and running on all the cluster nodes.
CarbonData user should have permission to access HDFS.
Build the CarbonData project and get the assembly jar from ./assembly/target/scala-2.1x/carbondata_xxx.jar.
Copy ./assembly/target/scala-2.1x/carbondata_xxx.jar to $SPARK_HOME/carbonlib folder.
NOTE: Create the carbonlib folder if it does not exist inside $SPARK_HOME path.
Add the carbonlib folder path in the Spark classpath. (Edit $SPARK_HOME/conf/spark-env.sh file and modify the value of SPARK_CLASSPATH by appending $SPARK_HOME/carbonlib/* to the existing value)
Copy the ./conf/carbon.properties.template file from CarbonData repository to $SPARK_HOME/conf/ folder and rename the file to carbon.properties.
Repeat Step 2 to Step 5 in all the nodes of the cluster.
In Spark node[master], configure the properties mentioned in the following table in $SPARK_HOME/conf/spark-defaults.conf file.
| Property | Value | Description |
|---|---|---|
| spark.driver.extraJavaOptions | -Dcarbon.properties.filepath = $SPARK_HOME/conf/carbon.properties | A string of extra JVM options to pass to the driver. For instance, GC settings or other logging. |
| spark.executor.extraJavaOptions | -Dcarbon.properties.filepath = $SPARK_HOME/conf/carbon.properties | A string of extra JVM options to pass to executors. For instance, GC settings or other logging. NOTE: You can enter multiple values separated by space. |
$SPARK_HOME/conf/carbon.properties file:| Property | Required | Description | Example | Remark |
|---|---|---|---|---|
| carbon.storelocation | NO | Location where data CarbonData will create the store and write the data in its own format. | hdfs://HOSTNAME:PORT/Opt/CarbonStore | Propose to set HDFS directory |
./spark-shell --master spark://HOSTNAME:PORT --total-executor-cores 2 --executor-memory 2G
NOTE: Make sure you have permissions for CarbonData JARs and files through which driver and executor will start.
To get started with CarbonData : Quick Start, DDL Operations on CarbonData
This section provides the procedure to install CarbonData on “Spark on YARN” cluster.
The following steps are only for Driver Nodes. (Driver nodes are the one which starts the spark context.)
Build the CarbonData project and get the assembly jar from ./assembly/target/scala-2.1x/carbondata_xxx.jar and copy to $SPARK_HOME/carbonlib folder.
NOTE: Create the carbonlib folder if it does not exists inside $SPARK_HOME path.
Copy the ./conf/carbon.properties.template file from CarbonData repository to $SPARK_HOME/conf/ folder and rename the file to carbon.properties.
Create tar.gz file of carbonlib folder and move it inside the carbonlib folder.
cd $SPARK_HOME tar -zcvf carbondata.tar.gz carbonlib/ mv carbondata.tar.gz carbonlib/
$SPARK_HOME/conf/spark-defaults.conf file.| Property | Description | Value |
|---|---|---|
| spark.master | Set this value to run the Spark in yarn cluster mode. | Set yarn-client to run the Spark in yarn cluster mode. |
| spark.yarn.dist.files | Comma-separated list of files to be placed in the working directory of each executor. | $SPARK_HOME/conf/carbon.properties |
| spark.yarn.dist.archives | Comma-separated list of archives to be extracted into the working directory of each executor. | $SPARK_HOME/carbonlib/carbondata.tar.gz |
| spark.executor.extraJavaOptions | A string of extra JVM options to pass to executors. For instance NOTE: You can enter multiple values separated by space. | -Dcarbon.properties.filepath = carbon.properties |
| spark.executor.extraClassPath | Extra classpath entries to prepend to the classpath of executors. NOTE: If SPARK_CLASSPATH is defined in spark-env.sh, then comment it and append the values in below parameter spark.driver.extraClassPath | carbondata.tar.gz/carbonlib/* |
| spark.driver.extraClassPath | Extra classpath entries to prepend to the classpath of the driver. NOTE: If SPARK_CLASSPATH is defined in spark-env.sh, then comment it and append the value in below parameter spark.driver.extraClassPath. | $SPARK_HOME/carbonlib/* |
| spark.driver.extraJavaOptions | A string of extra JVM options to pass to the driver. For instance, GC settings or other logging. | -Dcarbon.properties.filepath = $SPARK_HOME/conf/carbon.properties |
$SPARK_HOME/conf/carbon.properties:| Property | Required | Description | Example | Default Value |
|---|---|---|---|---|
| carbon.storelocation | NO | Location where CarbonData will create the store and write the data in its own format. | hdfs://HOSTNAME:PORT/Opt/CarbonStore | Propose to set HDFS directory |
./bin/spark-shell --master yarn-client --driver-memory 1g --executor-cores 2 --executor-memory 2G
NOTE: Make sure you have permissions for CarbonData JARs and files through which driver and executor will start.
Getting started with CarbonData : Quick Start, DDL Operations on CarbonData
a. cd $SPARK_HOME
b. Run the following command to start the CarbonData thrift server.
./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer $SPARK_HOME/carbonlib/$CARBON_ASSEMBLY_JAR <carbon_store_path>
| Parameter | Description | Example |
|---|---|---|
| CARBON_ASSEMBLY_JAR | CarbonData assembly jar name present in the $SPARK_HOME/carbonlib/ folder. | carbondata_2.xx-x.x.x-SNAPSHOT-shade-hadoop2.7.2.jar |
| carbon_store_path | This is a parameter to the CarbonThriftServer class. This a HDFS path where CarbonData files will be kept. Strongly Recommended to put same as carbon.storelocation parameter of carbon.properties. | hdfs://<host_name>:port/user/hive/warehouse/carbon.store |
Examples
./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer $SPARK_HOME/carbonlib /carbondata_2.xx-x.x.x-SNAPSHOT-shade-hadoop2.7.2.jar hdfs://<host_name>:port/user/hive/warehouse/carbon.store
./bin/spark-submit --conf spark.sql.hive.thriftServer.singleSession=true --class org.apache.carbondata.spark.thriftserver.CarbonThriftServer --num-executors 3 --driver-memory 20g --executor-memory 250g --executor-cores 32 /srv/OSCON/BigData/HACluster/install/spark/sparkJdbc/lib /carbondata_2.xx-x.x.x-SNAPSHOT-shade-hadoop2.7.2.jar hdfs://<host_name>:port/user/hive/warehouse/carbon.store
cd $SPARK_HOME
./sbin/start-thriftserver.sh
./bin/beeline -u jdbc:hive2://<thriftserver_host>:port
Example
./bin/beeline -u jdbc:hive2://10.10.10.10:10000