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By H2O.ai Team | minute read | April 12, 2018
Hi Makers!
We are happy to announce that Sparkling Water now fully supports Spark 2.3 and is available from our download page .
If you are using an older version of Spark, that’s no problem. Even though we suggest upgrading to the latest version possible, we keep the Sparkling Water releases for Spark 2.2 and 2.1 up-to-date with the latest version if we are not limited by Spark.
The last release of Sparkling Water contained several important bug fixes. The 3 major bug fixes are:
In PySparkling, the method as_h2o_frame didn’t issue an alert when we passed in a wrong input type. This method accepts only Spark DataFrames and RDDs, however, some users tried to pass different types and this method ended silently. Now we fail if the user passes a wrong data type to this method.
It is also important to mention that Spark 2.3 removed support for Scala 2.10. We’ve done the same in the release for Spark 2.3. Scala 2.10 is still supported in the older Spark versions.
The latest Sparkling Water versions also integrated with H2O 3.18.0.5 which brings several important fixes. The full change log for H2O 3.18.0.5 is available here and the full Sparkling Water change log can be viewed here .
Thank you!
Kuba
Senior Software Engineer, Sparkling Water Team
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Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.
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