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Updated release notes for the latest changes
- also fixed version string in jar manifests - update spark sub-module link
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Original file line number | Diff line number | Diff line change |
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@@ -4,11 +4,11 @@ SnappyData™ is a memory-optimized database based on Apache Spark. It delivers | |
throughput, low latency, and high concurrency for unified analytic workloads that may combine | ||
streaming, interactive analytics, and artificial intelligence in a single, easy to manage distributed cluster. | ||
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In previous releases 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. | ||
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. | ||
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The SnappyData team is pleased to announce the availability of version 1.3.1 of the platform. | ||
Starting with release 1.3.0, all the platform's private modules have been made open-source apart from | ||
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@@ -25,7 +25,8 @@ You can find details of the release artifacts towards the end of this page. | |
The full set of documentation for SnappyData 1.3.1 including installation guide, user guide | ||
and reference guide can be found [here](https://tibcosoftware.github.io/snappydata/1.3.1/). | ||
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Release notes for the previous 1.3.0 release can be found [here](https://tibcosoftware.github.io/snappydata/1.3.0/). | ||
Release notes for the previous 1.3.0 release can be found | ||
[here](https://tibcosoftware.github.io/snappydata/1.3.0/release_notes/release_notes). | ||
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The following table summarizes the high-level features available in the SnappyData platform: | ||
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@@ -94,11 +95,21 @@ SnappyData 1.3.1 includes the following changes to improve stability and securit | |
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* Apart from Log4J, following dependencies were updated to address known security issues: | ||
- Jetty upgraded to 9.4.44.v20210927 | ||
- Eclipse Jersey upgraded to 2.35 | ||
- jackson-mapper-asl and jackson-core-asl upgraded to 1.9.14-atlassian-6 | ||
- jackson and jackson-databind upgraded to 2.13.1 | ||
- jackson and jackson-databind upgraded to 2.13.3 | ||
- Kafka upgraded to 2.2.2 | ||
- Protobuf upgraded to 3.16.1 | ||
- Ant upgraded to 1.10.12 | ||
- Apache HttpClient upgraded to 4.5.13 | ||
- Upgrades to Apache commons dependencies: | ||
- commons-io: 2.6 => 2.11.0 | ||
- commons-codec: 1.11 => 1.15 | ||
- commons-compress: 1.4.1 => 1.21 | ||
- commons-beanutils: 1.9.3 => 1.9.4 | ||
- [SPARK-34110](https://issues.apache.org/jira/browse/SPARK-34110): Upgrade Zookeeper to 3.6.2 | ||
- [SPARK-37901](https://issues.apache.org/jira/browse/SPARK-37901): Upgrade Netty to 4.1.73 | ||
- Netty further upgraded to 4.1.77 | ||
- gcs-hadoop-connector upgraded to hadoop3-2.1.2 | ||
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* Ported patches for the following issues from Apache Geode: | ||
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@@ -130,7 +141,8 @@ SnappyData 1.3.1 includes the following changes to improve stability and securit | |
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* Merged patches for the following Spark issues: | ||
- [SPARK-6305](https://issues.apache.org/jira/browse/SPARK-6305): Migrate from log4j1 to log4j2 | ||
- Followups SPARK-37684, SPARK-37774 to upgrade log4j to 2.17.x | ||
- Followup [SPARK-37684](https://issues.apache.org/jira/browse/SPARK-37684) and | ||
[SPARK-37774](https://issues.apache.org/jira/browse/SPARK-37774) to upgrade log4j to 2.17.x | ||
- [SPARK-37791](https://issues.apache.org/jira/browse/SPARK-37791): Use log4j2 in examples | ||
- [SPARK-37794](https://issues.apache.org/jira/browse/SPARK-37794): Remove internal log4j | ||
bridge api usage | ||
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@@ -181,7 +193,18 @@ still apply in 1.3.1 release. These have been reproduced below for reference: | |
| [SNAP-3298](https://jirasnappydataio.atlassian.net/browse/SNAP-3298) | Credentials set in Hadoop configuration in the Spark context can be set only once without restarting the cluster. | The credentials that are embedded in a FileSystem object. The object is cached in FileSystem cache. The cached object does not get refreshed when there is a configuration (credentials) change. Hence, it uses the initially set credentials even if you have set new credentials. | Run the `org.apache.hadoop.fs.FileSystem.closeAll()` command on `snappy-scala` shell or using `EXEC SCALA` SQL or in a job. This clears the cache. Ensure that there are no queries running on the cluster when you are executing the command. After this you can set the new credentials. | | ||
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## Description of Download Artifacts | ||
## Downloading and verifying Release Artifacts | ||
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Download all the artifacts listed on the [release](https://github.com/TIBCOSoftware/snappydata/releases/tag/v1.3.1) | ||
page, then use the following to verify on Linux or Mac: | ||
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gpg --keyserver hkps://keyserver.ubuntu.com --recv-keys A7994CE77A24E5511A68727D8CED09EB8184C4D6 | ||
gpg --verify snappydata-1.3.1.sha256.asc | ||
(above should show a good signature from "SnappyData Inc. (build artifacts) <[email protected]>") | ||
sha256sum --check snappydata-1.3.1.sha256 | ||
(above should show OK for all the artifacts) | ||
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If you do not need some of the artifacts, then you can skip downloading them in which case the `sha256sum` command will show `FAILED open or read` error or equivalent for this missing artifacts. Alternatively you can explicitly run `sha256sum` on only the downloaded artifacts, then manually compare the values to those listed in `snappydata-1.3.1.sha256`. | ||
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The following table describes the download artifacts included in SnappyData 1.3.1 release: | ||
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Submodule spark
updated
from 0169c3 to 1fb367