Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy

How to run apache hive on apache spark?


Asked by Tripp Dorsey on Nov 29, 2021 Spark Programming guide



In the Cloudera Manager Admin Console, go to the Hive service. Search for the Spark On YARN Service. To configure the Spark service, select the Spark service name. To remove the dependency, select none. Click Save Changes. Go to the Spark service. Add a Spark gateway role to the host running HiveServer2.
And,
The differences between Apache Hive and Apache Spark SQL is discussed in the points mentioned below: Hive is known to make use of HQL (Hive Query Language) whereas Spark SQL is known to make use of Structured Query language for processing and querying of data
Similarly, Install Apache Hadoop. Install Apache Hive. Setup Hadoop and start it. Open DbVisualizer and the Tools->Driver Manager. Select the Hive driver entry and load the following jar files: HIVE_HOME/lib/hive-jdbc-*-standalone.jar. HADOOP_HOME/share/hadoop/common/hadoop-common-*.jar.
Also,
Apache Ranger currently provides a centralized security adminstration, fine grain access control and detailed auditing for user access within Apache Hadoop, Apache Hive, Apache HBase and other Apache components There is a WADL document available that describes the resources API.
Indeed,
Run a Hive query When starting Beeline, you must provide a connection string for HiveServer2 on your HDInsight cluster: When connecting over the public internet, you must provide the cluster login account name (default admin) and password. Beeline commands begin with a ! character, for example !help displays help.