Skip to content

Support Spark 2.4.0 #2

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
sungjuly merged 4 commits into from
Feb 5, 2019
+76 −67
Merged

Support Spark 2.4.0 #2

Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
3b6a318
Cherry picking from Yelp changes
sungjuly Jan 31, 2019
b15f13a
Upgrade Spark version to 2.4.0
sungjuly Jan 31, 2019
e9cacb1
Update dependency of spark-avro that was donated to ASF from 2.4.0 of…
sungjuly Jan 31, 2019
ca9782d
Add disclaimer for community users
sungjuly Jan 31, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Add disclaimer for community users
  • Loading branch information
@sungjuly
sungjuly committed Jan 31, 2019
commit ca9782d26d49dc857d44d23efc999a0b9c514f14
3 changes: 3 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,9 @@
[![Build Status](https://travis-ci.org/databricks/spark-redshift.svg?branch=master)](https://travis-ci.org/databricks/spark-redshift)
[![codecov.io](http://codecov.io/github/databricks/spark-redshift/coverage.svg?branch=master)](http://codecov.io/github/databricks/spark-redshift?branch=master)

## Disclaimer
This is fork version from Databricks's spark-redshift repository. Our custom changes only tested with Spark **2.4.0** version. These custom changes may not be worked with older version of Spark

## Note

To ensure the best experience for our customers, we have decided to inline this connector directly in Databricks Runtime. The latest version of Databricks Runtime (3.0+) includes an advanced version of the RedShift connector for Spark that features both performance improvements (full query pushdown) as well as security improvements (automatic encryption). For more information, refer to the <a href="https://docs.databricks.com/spark/latest/data-sources/aws/amazon-redshift.html">Databricks documentation</a>. As a result, we will no longer be making releases separately from Databricks Runtime.
Expand Down