End of support for Spark version 1.6 in Analytics for Apache Spark

5 min read

By: Rohan Vaidyanathan

End of support for Spark version 1.6 in Analytics for Apache Spark

We’d like to inform you about the withdrawal of support for Apache Spark v1.6 in IBM Analytics for Apache Spark which will end on March 30, 2018. However, this service will continue to support newer Apache Spark versions under the Spark 2.x branch – namely Spark v2.0 and Spark v2.1.2. As part of IBM’s effort to provide a current, secure and GDPR compliant cloud service, several security vulnerabilities are being identified and repaired. A number of them present in Spark v1.6 have been fixed in the Spark v2.x branch. In addition, Spark v2.x introduced newer capabilities and performance improvements, for example:

  • Kafka 0.10.0 support

  • Structured streaming support

 

For more a more complete list of changes added to Apache Spark, consult the release notes for the Spark release at (Spark 2.0Spark 2.1). The support for Apache Spark v1.6 will be withdrawn on March 30, 2018. Here’s what you need to know:

End of Support Announce Date: January 30, 2018

End of Support Withdrawal Date: March 30, 2018

For a period of 60 days after the End of Support Announce Date, through March 30, 2018, all new or existing instances of Analytics for Apache Spark will have the ability to submit and execute jobs using a Spark v1.6 kernel or driver.

As of March 30, 2018, new or existing kernels or jobs cannot be submitted to execute with Spark v1.6 driver.

  • Please update your applications and notebooks to use Spark v2.1.2 APIs before the End of Support Withdrawal Date, i.e. March 30, 2018.

We strongly recommend you to move your applications to Spark v2.1.2 in order to get access to the latest APIs and capabilities of Apache Spark in order to stay compliant with the GDPR requirements. Also, you may follow these migration guidelines to upgrade.

As always, we’re here to help! Reach out to us in the support forums.

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