spark-hbase-connector (homepage)
Connect Spark to HBase for reading and writing data with ease
@nerdammer / (3)
This library lets your Apache Spark application interact with Apache HBase using a simple and elegant API.
If you want to read and write data to HBase, you don't need using the Hadoop API anymore, you can just use Spark.
Tags
How to
Include this package in your Spark Applications using:
spark-shell, pyspark, or spark-submit
> $SPARK_HOME/bin/spark-shell --packages it.nerdammer.bigdata:spark-hbase-connector_2.10:1.0.3
sbt
If you use the sbt-spark-package plugin, in your sbt build file, add:
spDependencies += "nerdammer/spark-hbase-connector:1.0.3"
Otherwise,
libraryDependencies += "it.nerdammer.bigdata" % "spark-hbase-connector_2.10" % "1.0.3"
Maven
In your pom.xml, add:<dependencies> <!-- list of dependencies --> <dependency> <groupId>it.nerdammer.bigdata</groupId> <artifactId>spark-hbase-connector_2.10</artifactId> <version>1.0.3</version> </dependency> </dependencies>
Releases
Version: 1.0.3 ( b17e16 | zip | jar ) / Date: 2016-04-20 / License: Apache-2.0 / Scala version: 2.10
Version: 1.0.0 ( e6208f | zip | jar ) / Date: 2015-05-11 / License: Apache-2.0 / Scala version: 2.10
Version: 0.9.5 ( cdbcac | zip | jar ) / Date: 2015-03-24 / License: Apache-2.0 / Scala version: 2.10
Version: 0.9.4 ( 72057a | zip | jar ) / Date: 2015-03-24 / License: Apache-2.0 / Scala version: 2.10
Version: 0.9.3 ( 70d8ff | zip | jar ) / Date: 2015-02-26 / License: Apache-2.0
Version: 0.9.2 ( 98a40f | zip | jar ) / Date: 2015-02-07 / License: Apache-2.0