Start Using Zeppelin with Spark and Cassandra on Centos 7
July 26, 2016
in this post we wanna install Zeppelin and configuring spark to connect with our cassandra cluster for starting analytic jobs.
why we wanna do this ?
- For view, analyze our big data records , making charts and graphs without writing single line of code
- Spark give use ability to make SQL queries and processing our data very fast and at all our process cost is not in our cassandra clusters
- its not enough ?
what is Apache Zeppelin ?
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
in my opinion its very easy to use , many interpreters , configurable and cool :) .
what is Apache Spark ?
Apache Spark™ is a fast and general engine for large-scale data processing.
they right it’s very fast , as they say its up to 100x faster than Hadoop MapReduce in memory .
what about Apache Cassandra ?
Apache Cassandra, a top level Apache project born at Facebook and built on Amazon’s Dynamo and Google’s BigTable, is a distributed database for managing large amounts of structured data across many commodity servers, while providing highly available service and no single point of failure. Cassandra offers capabilities that relational databases and other NoSQL databases simply cannot match such as: continuous availability, linear scale performance, operational simplicity and easy data distribution across multiple data centers and cloud availability zones.
at all cassandra is really fast in INSERT and fast enough for many Big data models .
- Installing Apache Zeppelin
- configuring spark interpreters
- Create new note and write our first spark job
Installing Apache Zeppelin
- Oracle JDK 1.7 (set JAVA_HOME)
- Maven 3.1.x or higher
# installing jdk 7 sudo yum install java-1.7.0-openjdk java-1.7.0-openjdk-devel -y # setting JAVA_HOME export JAVA_HOME=/usr/lib/jvm/java-1.7.0-openjdk-22.214.171.124-126.96.36.199.el7_2.x86_64/jre/ # installing npm sudo yum install npm -y # installing git sudo yum install git -y #installing Maven wget http://www.eu.apache.org/dist/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz tar -zxf apache-maven-3.3.9-bin.tar.gz -C /usr/local/ ln -s /usr/local/apache-maven-3.3.9/bin/mvn /usr/local/bin/mvn export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=1024m"
after installing ensure they installed correctly
mvn -version node --version
git clone https://github.com/apache/zeppelin.git cd zeppelin/ # compiling with cassandra and spark interpreters , it's take while mvn clean package -Pcassandra-spark-1.5 -Dhadoop.version=2.6.0 -Phadoop-2.6 -DskipTests
After successful start, visit http://localhost:8080 with your web browser.
for stoping zeppelin
configuring spark interpreters
Add this properties to the Spark connector interpreter
- spark.cassandra.connection.host with value 127.0.0.1 (or IP of one of your Cassandra cluster node)
- spark.cassandra.auth.username and spark.cassandra.auth.password if you using authentication for connecting to your cassandra cluster
Create new note and write our first spark job
just create a new note and write your job
this example load cassandra records in rdd and then print sum of amount field
%spark import com.datastax.spark.connector._ val rdd = sc.cassandraTable("my_keyspace", "transactions") println(rdd.map(_.getInt("amount")).sum) sc.stop
for understanding how write spark jobs for cassandra using datastax spark connector visit this link