DEPLOY PACKAGES¶

Deploys package in SnappyData.

Syntax¶

deploy package <unique-alias-name> ‘packages’ [ repos ‘repositories’ ] [ path 'some path to cache resolved jars' ]

* unique-alias-name - A name to identify a package. This name can be used to remove the package from the cluster. You can use alphabets, numbers, and underscores to create the name.

packages - Comma-delimited string of maven packages.
repos - Comma-delimited string of remote repositories other than the Maven Central and spark-package repositories. These two repositories are searched by default. The format specified by Maven is: groupId:artifactId:version.
path - The path to the local repository. This path should be visible to all the lead nodes of the system. If this path is not specified then the system uses the path set in the ivy.home property. if even that is not specified, the .ivy2 in the user’s home directory is used.

Description¶

Packages can be deployed in SnappyData using the DEPLOY PACKAGE SQL. You can pass the following through this SQL:

Name of the package.
Repository where the package is located.
Path to a local cache of jars.

Note

SnappyData requires internet connectivity to connect to repositories which are hosted outside the network. Otherwise the resolution of the package fails.

For resolving the package, Maven Central and Spark packages, located at http://dl.bintray.com/spark-packages, are searched by default. Hence, you must specify the repository only if the package is not there at Maven Central or in the spark-package repository.

Tip

Use spark-packages.org to search for Spark packages. Most of the popular Spark packages are listed here.

Example¶

Deploy packages from a default repository.

deploy package spark_deep_learning_0_3_0 'databricks:spark-deep-learning:0.3.0-spark2.2-s_2.11' path '/home/snappydata/work'

deploy package spark_redshift_300 'com.databricks:spark-redshift_2.10:3.0.0-preview1' path '/home/snappydata/work'

Deploy packages from a non-default repository.

Related Topics

DEPLOY JAR