![]() Sqoop and Hive Lineage Create a mysql table cd /tmp/sandbox/Ĭhmod -R 777 /tmp/sandbox/crosscomponent_demo/ Run the following command to get to the scripts for the tutorial. Last login: DDD MMM D HH:MM:SS YYYY from ~]# Download & extract the demo script Text you should see on your screen looks similar: sandbox login: password: The first time password for root user is hadoop.Īlternatively, you could "ssh" into the sandbox from your terminal or Windows Ubuntu Shell. Your Ambari dashboard page should look like this:įirst access the Sandbox Web Shell Client at :4200. Stop some services like Spark, Oozie, Flume and Zeppelin which are not required in this tutorial and also turn on Maintenance mode. In the same way you started Kafka above, start other required services (in order): Wait for Kafka to start (It may take a few minutes to turn green) Start Kafka, Storm, HBase, Infra Solr and Atlasįrom the Dashboard page of Ambari, click on Kafka from the list of installed services.įrom the Kafka page, click on Service Actions -> StartĬheck the Maintenance Mode box and click on Confirm Start: Now we must Restart Hive, click on Restart and then Restart All Affected. Write Atlas-hive hook enabled in the prompt and then proceed with saving the change. By default, it is false, change it to true so that you can capture the lineage for hive operations.Ĭlick Save after you make the change. This property takes a boolean value and specifies whether to run the Atlas-Hive hook synchronously or not. Then click on Configs tab and search in the filter text box. Servicesįrom the Dashboard page of Ambari, click on Hive from the list of installed services. User name - raj_ops and password - raj_ops. Started by logging into Ambari as raj_ops user. Start Kafka, Storm, HBase, Infra Solr and Atlas.Learning the Ropes of the HDP Sandbox tutorial.Downloaded and deployed the Hortonworks Data Platform (HDP) Sandbox.This tutorial walks through the steps for creating data in Apache Hive through Apache Sqoop and using Apache Kafka with Apache Storm. Atlas is now offering, as a tech preview, cross component lineage functionality, delivering a complete view of data movement across a number of analytic engines such as Apache Storm, Kafka, and Hive. Hortonworks introduced Apache Atlas as part of the Data Governance Initiative, and has continued to deliver on the vision for open source solution for centralized metadata store, data classification, data lifecycle management and centralized security.
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