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.
This charm provides version 1.2.1 of the Hive application from Apache Bigtop.
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
This charm deploys version 1.2.1 of the Hive component from Apache Bigtop.
This charm requires Juju 2.0 or greater. If Juju is not yet set up, please
follow the getting-started instructions prior to deploying this charm.
This charm is intended to be deployed via one of the bigtop hadoop bundles.
juju deploy hadoop-processing
This will deploy an Apache Bigtop Hadoop cluster. More information about this
deployment can be found in the bundle readme.
Now add Hive and relate it to the cluster via the hadoop-plugin:
juju deploy hive juju add-relation hive plugin
This charm will start the Hive Metastore service using a local Apache Derby
metastore database by default. This is suitable for unit or smoke testing Hive,
but this configuration should not be used in production. Deploying an external
database for the Hive metastore is recommended:
juju deploy mariadb juju add-relation hive mariadb
This charm supports interacting with HBase using Hive. Enable this by relating
Hive to a deployment that includes HBase. For example:
juju deploy hadoop-hbase juju add-relation hive hbase
See the hadoop-hbase bundle for more information about this HBase
Note: Applications that are duplicated in multiple bundles will be
reused. This means when deploying both
Juju will reuse (and not duplicate) common applications like the NameNode,
ResourceManager, Slaves, etc.
Charms can be deployed in environments with limited network access. To deploy
in this environment, configure a Juju model with appropriate proxy and/or
mirror options. See Configuring Models for more information.
Apache Bigtop charms provide extended status reporting to indicate when they
This is particularly useful when combined with
watch to track the on-going
progress of the deployment:
watch -n 2 juju status
The message column will provide information about a given unit's state.
This charm is ready for use once the status message indicates that it is
This charm provides a
smoke-test action that can be used to verify the
application is functioning as expected. Run the action as follows:
juju run-action hive/0 smoke-test
Watch the progress of the smoke test actions with:
watch -n 2 juju show-action-status
Eventually, the action should settle to
status: completed. If it
status: failed, the application is not working as expected. Get
more information about a specific smoke test with:
juju show-action-output <action-id>
This charm provides a variety of actions and interfaces that can be used
to interact with Hive.
Run a smoke test (as described in the Verifying section):
juju run-action hive/0 smoke-test juju show-action-output <id> # <-- id from above command
Restart all Hive services on a unit:
juju run-action hive/0 restart juju show-action-output <id> # <-- id from above command
Command Line Interface
$ juju ssh hive/0 $ hive ... hive> create table foo(col1 int, col2 string); OK Time taken: 0.381 seconds hive> show tables; OK foo hivesmoke Time taken: 0.202 seconds, Fetched: 2 row(s) hive> exit;
As mentioned in the Deploying section, this charm supports integration
with HBase. When HBase is deployed and related to Hive, use the Hive CLI to
interact with HBase:
$ juju ssh hive/0 $ hive ... hive> CREATE TABLE myhivetable(key STRING, mycol STRING) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ('hbase.columns.mapping' = ':key,cf:mycol') TBLPROPERTIES ('hbase.table.name' = 'myhbasetable'); OK Time taken: 2.497 seconds hive> DESCRIBE myhivetable; OK key string from deserializer mycol string from deserializer Time taken: 0.174 seconds, Fetched: 2 row(s)
The HiveServer2 service provides a thrift server that can be used by Hive
clients. To access this interface from external clients (i.e. applications
that are not part of the Juju deployment), find the
Public address of the
hive unit and expose the application:
juju status hive juju expose hive
External clients will be able to access Hive using:
Charm configuration can be changed at runtime with
juju config. This charm
supports the following config parameters.
The default heap size for the the Hive shell JVM is 1024MB. Set a different
value (in MB) with the following:
juju config hbase heap=4096
Restarting Hive is potentially disruptive when queries are running. Be aware
that the following events will cause a restart of all Hive services:
- Adding or removing an HBase relation
- Changing charm configuration with
- Upgrading this charm
Hive Web Interface
The Hive Web Interface (HWI) has been removed upstream (HIVE-15622). This
charm does not provide HWI. Use the command line or thrift interfaces for
interacting with Hive.
Apache Bigtop tracks issues using JIRA (Apache account required). File an
issue for this charm at:
Bigtop is selected as the project. Typically, charm issues are filed
deployment component with the latest stable release selected as the
affected version. Any uncertain fields may be left blank.
- (string) Apache Bigtop release version. The default, '1.2.1' will use the current GA release, Bigtop 1.2.1, for all hiera data, puppet recipes, and installable packages. Set this to 'master' to use the latest upstream bits.
- (int) The maximum heap size (in MB) used by the Hive shell JVM.
- (string) Version of the cuda-repo deb to install. Valid options can be found at: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64
- (boolean) Install the CUDA binaries if capable hardware is present (True by default). Set to False to disable CUDA installation regardless of capable hardware.