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Release 1.8.4 of the Amazon Kinesis Client for Java

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* Create a new completion service for each request.
  This ensures that canceled tasks are discarded.  This will prevent a cancellation exception causing issues processing records.
  * PR #227
  * Issue #226
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Pfifer, Justin 2017-09-22 16:23:20 -07:00
parent e8039b31ae
commit c1df703d67
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README.md
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@ -29,6 +29,12 @@ 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 1.8.4 (September 22, 2017)
* Create a new completion service for each request.
This ensures that canceled tasks are discarded. This will prevent a cancellation exception causing issues processing records.
* [PR #227](https://github.com/awslabs/amazon-kinesis-client/pull/227)
* [Issue #226](https://github.com/awslabs/amazon-kinesis-client/issues/226)
### Release 1.8.3 (September 22, 2017) ### Release 1.8.3 (September 22, 2017)
* Call shutdown on the retriever when the record processor is being shutdown * Call shutdown on the retriever when the record processor is being shutdown
This fixes a bug that could leak threads if using the [`AsynchronousGetRecordsRetrievalStrategy`](https://github.com/awslabs/amazon-kinesis-client/blob/9a82b6bd05b3c9c5f8581af007141fa6d5f0fc4e/src/main/java/com/amazonaws/services/kinesis/clientlibrary/lib/worker/AsynchronousGetRecordsRetrievalStrategy.java#L42) is being used. This fixes a bug that could leak threads if using the [`AsynchronousGetRecordsRetrievalStrategy`](https://github.com/awslabs/amazon-kinesis-client/blob/9a82b6bd05b3c9c5f8581af007141fa6d5f0fc4e/src/main/java/com/amazonaws/services/kinesis/clientlibrary/lib/worker/AsynchronousGetRecordsRetrievalStrategy.java#L42) is being used.

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pom.xml
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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>1.8.4-SNAPSHOT</version> <version>1.8.4</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>