Starter project for building MemSQL Streamliner Pipelines
Scala Makefile
Failed to load latest commit information.
project initial commit for pipeline starter repo Sep 4, 2015
.gitignore add project structure to build.sbt Sep 8, 2015
.travis.yml add travis ci setup Mar 2, 2016
LICENSE add APLv2 license Sep 8, 2015
Makefile Added test Sep 22, 2015
NOTICE add APLv2 license Sep 8, 2015
build.sbt version bump memsql-etl to 1.3.3 Jul 15, 2016

MemSQL Streamliner Starter

Build Status

This is a starter repository that you can use to build pipelines for MemSQL Spark Streamliner.

MemSQL Spark Streamliner lets you build custom Spark pipelines to:

  1. extract from real-time data sources such as Kafka,
  2. transform data structures such as CSV, JSON, or Thrift in table rows,
  3. load your data into MemSQL.

Check out the MemSQL Spark Streamliner Examples repository for more example Extractors and Transformers.

Get Started with MemSQL Spark Streamliner

  1. Clone this repository

  2. Modify Extractors.scala and Transformers.scala

  3. Build the JAR with:

    make build
  4. The JAR will be placed in target/scala-<version>/. Upload the JAR to MemSQL Ops and create a pipeline using your custom code.

Read more on how to create custom Spark Interface JARs in our docs.

Run Tests


make test