Release 1.7.3 of the Amazon Kinesis Client (#131)

* Upgrade to the newest AWS Java SDK.
  * Issue awslabs/amazon-kinesis-client-python#27
  * PR #126
  * PR #125
* Added a direct dependency on commons-logging.
  * Issue #123
  * PR #124
* Make ShardInfo public to allow for custom ShardPrioritization strategies.
  * Issue #120
  * PR #127
This commit is contained in:
Justin Pfifer 2017-01-20 09:05:54 -08:00 committed by GitHub
parent d8276e60cd
commit 3d18e484cf
4 changed files with 17 additions and 5 deletions

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@ -2,7 +2,7 @@ Manifest-Version: 1.0
Bundle-ManifestVersion: 2 Bundle-ManifestVersion: 2
Bundle-Name: Amazon Kinesis Client Library for Java Bundle-Name: Amazon Kinesis Client Library for Java
Bundle-SymbolicName: com.amazonaws.kinesisclientlibrary;singleton:=true Bundle-SymbolicName: com.amazonaws.kinesisclientlibrary;singleton:=true
Bundle-Version: 1.7.2 Bundle-Version: 1.7.3
Bundle-Vendor: Amazon Technologies, Inc Bundle-Vendor: Amazon Technologies, Inc
Bundle-RequiredExecutionEnvironment: JavaSE-1.7 Bundle-RequiredExecutionEnvironment: JavaSE-1.7
Require-Bundle: org.apache.commons.codec;bundle-version="1.6", Require-Bundle: org.apache.commons.codec;bundle-version="1.6",

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@ -29,11 +29,23 @@ For producer-side developers using the **[Kinesis Producer Library (KPL)][kinesi
To make it easier for developers to write record processors in other languages, we have implemented a Java based daemon, called MultiLangDaemon that does all the heavy lifting. Our approach has the daemon spawn a sub-process, which in turn runs the record processor, which can be written in any language. The MultiLangDaemon process and the record processor sub-process communicate with each other over [STDIN and STDOUT using a defined protocol][multi-lang-protocol]. There will be a one to one correspondence amongst record processors, child processes, and shards. For Python developers specifically, we have abstracted these implementation details away and [expose an interface][kclpy] that enables you to focus on writing record processing logic in Python. This approach enables KCL to be language agnostic, while providing identical features and similar parallel processing model across all languages. To make it easier for developers to write record processors in other languages, we have implemented a Java based daemon, called MultiLangDaemon that does all the heavy lifting. Our approach has the daemon spawn a sub-process, which in turn runs the record processor, which can be written in any language. The MultiLangDaemon process and the record processor sub-process communicate with each other over [STDIN and STDOUT using a defined protocol][multi-lang-protocol]. There will be a one to one correspondence amongst record processors, child processes, and shards. For Python developers specifically, we have abstracted these implementation details away and [expose an interface][kclpy] that enables you to focus on writing record processing logic in Python. This approach enables KCL to be language agnostic, while providing identical features and similar parallel processing model across all languages.
## Release Notes ## Release Notes
### Release 1.7.2 (November 07, 2016) ### Release 1.7.3 (January 9, 2017)
* Upgrade to the newest AWS Java SDK.
* [Amazon Kinesis Client Issue #27](https://github.com/awslabs/amazon-kinesis-client-python/issues/27)
* [PR #126](https://github.com/awslabs/amazon-kinesis-client/pull/126)
* [PR #125](https://github.com/awslabs/amazon-kinesis-client/pull/125)
* Added a direct dependency on commons-logging.
* [Issue #123](https://github.com/awslabs/amazon-kinesis-client/issues/123)
* [PR #124](https://github.com/awslabs/amazon-kinesis-client/pull/124)
* Make ShardInfo public to allow for custom ShardPrioritization strategies.
* [Issue #120](https://github.com/awslabs/amazon-kinesis-client/issues/120)
* [PR #127](https://github.com/awslabs/amazon-kinesis-client/pull/127)
### Release 1.7.2 (November 7, 2016)
* MultiLangDaemon Feature Updates * MultiLangDaemon Feature Updates
The MultiLangDaemon has been upgraded to use the v2 interfaces, which allows access to enhanced checkpointing, and more information during record processor initialization. The MultiLangDaemon clients must be updated before they can take advantage of these new features. The MultiLangDaemon has been upgraded to use the v2 interfaces, which allows access to enhanced checkpointing, and more information during record processor initialization. The MultiLangDaemon clients must be updated before they can take advantage of these new features.
### Release 1.7.1 (November 03, 2016) ### Release 1.7.1 (November 3, 2016)
* General * General
* Allow disabling shard synchronization at startup. * Allow disabling shard synchronization at startup.
* Applications can disable shard synchronization at startup. Disabling shard synchronization can application startup times for very large streams. * Applications can disable shard synchronization at startup. Disabling shard synchronization can application startup times for very large streams.

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@ -6,7 +6,7 @@
<artifactId>amazon-kinesis-client</artifactId> <artifactId>amazon-kinesis-client</artifactId>
<packaging>jar</packaging> <packaging>jar</packaging>
<name>Amazon Kinesis Client Library for Java</name> <name>Amazon Kinesis Client Library for Java</name>
<version>1.7.3-SNAPSHOT</version> <version>1.7.3</version>
<description>The Amazon Kinesis Client Library for Java enables Java developers to easily consume and process data <description>The Amazon Kinesis Client Library for Java enables Java developers to easily consume and process data
from Amazon Kinesis. from Amazon Kinesis.
</description> </description>

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@ -120,7 +120,7 @@ public class KinesisClientLibConfiguration {
/** /**
* User agent set when Amazon Kinesis Client Library makes AWS requests. * User agent set when Amazon Kinesis Client Library makes AWS requests.
*/ */
public static final String KINESIS_CLIENT_LIB_USER_AGENT = "amazon-kinesis-client-library-java-1.7.2"; public static final String KINESIS_CLIENT_LIB_USER_AGENT = "amazon-kinesis-client-library-java-1.7.3";
/** /**
* KCL will validate client provided sequence numbers with a call to Amazon Kinesis before checkpointing for calls * KCL will validate client provided sequence numbers with a call to Amazon Kinesis before checkpointing for calls