The SnappyData team is pleased to announce the availability of version 1.3.1 of the platform. The release artifacts are listed at the end.
The major change in this release is the move from log4j 1.x to log4j 2.x (2.17.2) for all the components. The Spark connector component still continues to allow usage of log4j 1.x for compatibility with upstream Spark releases, but SnappyData and its Spark distribution neither includes nor depends on any log4j 1.x components.
Prior to release 1.3.0 there were two editions namely, the Community Edition which was a fully functional core OSS distribution that was under the Apache Source License v2.0, and the Enterprise Edition which was sold by TIBCO Software under the name TIBCO ComputeDB™ that included everything offered in the OSS version along with additional capabilities that are closed source and only available as part of a licensed subscription. Following the release of OSS 1.3.0, all the platform's private modules have been made open-source (under the Apache Source License v2.0) apart from the streaming GemFire connector (which depends on non-OSS Pivotal GemFire product jars).
The release notes are available here. Full set of documentation is here.
Update: Hotfix-1 release
A hotfix release with version 1.3.1-HF-1 was released subsequently to address a late breaking issue:
SDSNAP-842: ComputeDB failed to start due to some errors
This issue is resolved after patches for the following issues were ported from Apache Geode:
- GEODE-8029: IllegalArgumentException: Too large (805306401 expected elements with load factor 0.75)
- Other related Oplog fixes: GEODE-1969, GEODE-5302, GEODE-8667, GEODE-9881, GEODE-9854
Only product binary has changes while rest of the artifacts are unchanged.
If you have not installed 1.3.1 release tarball, then it is recommended to install the hotfix snappydata-1.3.1-HF-1-bin.tar.gz instead.
Description of download artifacts
| Artifact Name | Description |
|---|---|
| snappydata-1.3.1-HF-1-bin.tar.gz | Full product binary for 1.3.1 hotfix-1 (includes Hadoop 3.2.0) - recommended. |
| snappydata-1.3.1-bin.tar.gz | Full product binary for 1.3.1 release (includes Hadoop 3.2.0). |
| snappydata-jdbc_2.11-1.3.1.jar | JDBC client driver and push down JDBC data source for Spark. Compatible with Java 8, Java 11 and higher. |
| snappydata-odbc_1.3.0_win64.zip | 32-bit and 64-bit ODBC client drivers from 1.3.0 release for Windows 64-bit platform. |
| snappydata-spark-connector_2.11-1.3.1.jar | The single jar needed in Smart Connector mode; an alternative to --packages option. Compatible with Spark versions 2.1.1, 2.1.2 and 2.1.3 and the included SnappyData's Spark distribution. |
| snappydata-zeppelin_2.11-0.8.2.1.jar | The Zeppelin interpreter jar for SnappyData compatible with Apache Zeppelin 0.8.2. The standard jdbc interpreter is now recommended instead of this. See How to Use Apache Zeppelin with SnappyData. |
| snappydata-1.3.1.sha256 | The SHA256 checksums of the product artifacts. On Linux verify using sha256sum --check snappydata-1.3.1.sha256. |
| snappydata-1.3.1.sha256.asc | PGP signature for snappydata-1.3.1.sha256 in ASCII format. Get the public key using gpg --keyserver hkps://keyserver.ubuntu.com --recv-keys A7994CE77A24E5511A68727D8CED09EB8184C4D6. Then verify using gpg --verify snappydata-1.3.1.sha256.asc which should show a good signature using that key having build@snappydata.io as the email. |