Apache Hive is a data warehouse infrastructure built on top of Hadoop that supports data summarization, query, and analysis. Hive provides an SQL-like language called HiveQL that transparently converts queries to MapReduce for execution on large datasets stored in Hadoop's HDFS. Learn more at hive.apache.org.
This charm provides the Hive command line interface and the HiveServer2 service.
This charm is intended to be deployed via one of the apache bundles. For example:
juju quickstart apache-analytics-sql
This will deploy the Apache Hadoop platform with Apache Hive available to perform SQL-like queries against your data.
The services provide extended status reporting to indicate when they are ready:
juju status --format=tabular
This is particularly useful when combined with watch to track the on-going
progress of the deployment:
watch -n 0.5 juju status --format=tabular
The message for each unit will provide information about that unit's state.
Once they all indicate that they are ready, you can perform a "smoke test"
to verify that Hive is working as expected using the built-in smoke-test
action:
juju action do hive/0 smoke-test
After a few seconds or so, you can check the results of the smoke test:
juju action status
You will see status: completed if the smoke test was successful, or
status: failed if it was not. You can get more information on why it failed
via:
juju action fetch <action-id>