amazon-kinesis-client | Client library for Amazon Kinesis | AWS library

by awslabs Java Version: 1.15.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | amazon-kinesis-client Summary

amazon-kinesis-client is a Java library typically used in Cloud, AWS, Bert, Spark, Amazon S3 applications. amazon-kinesis-client has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub, Maven.

The Amazon Kinesis Client Library for Java (Amazon KCL) enables Java developers to easily consume and process data from Amazon Kinesis.

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Quality

Security

License

Reuse

Support

amazon-kinesis-client has a highly active ecosystem.

It has 612 star(s) with 458 fork(s). There are 79 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 242 open issues and 204 have been closed. On average issues are closed in 164 days. There are 37 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of amazon-kinesis-client is 1.15.1

Quality

amazon-kinesis-client has 0 bugs and 0 code smells.

Security

amazon-kinesis-client has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

amazon-kinesis-client code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

amazon-kinesis-client is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

amazon-kinesis-client releases are available to install and integrate.

Deployable package is available in Maven.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 29372 lines of code, 2396 functions and 256 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed amazon-kinesis-client and discovered the below as its top functions. This is intended to give you an instant insight into amazon-kinesis-client implemented functionality, and help decide if they suit your requirements.

Clean up leases
Attempts to clean up a lease
Returns true if all of the parent shard IDs have been deleted
Deletes the lease for the current child shard
Entry point for monitoring
Filters and returns the highest extended sequence number from the filtered list
Dispatches a batch of records
Returns a list of KPL user records
Subscribes to a subscriber
Updates the given lease
Gets the dyna class
Prepares the user agent to use
Returns the shard with the given ID
Called when a record is received
Initialize this process
Invoked by the worker thread
Start the KCL daemon
Evict the given lease
Initialize the data fetcher
Updates the lease with the given lease
Renews leases
Shuts down the shard process
Runs the worker
Synchronizes the lease with the given lease and lease counter
Renew a lease
Get records

Get all kandi verified functions for this library.

amazon-kinesis-client Key Features

No Key Features are available at this moment for amazon-kinesis-client.

amazon-kinesis-client Examples and Code Snippets

No Code Snippets are available at this moment for amazon-kinesis-client.

Community Discussions

Trending Discussions on amazon-kinesis-client

Timeout issues when using Amazon Kinesis Client Library resulting in dropped records

QUESTION

Timeout issues when using Amazon Kinesis Client Library resulting in dropped records

Asked 2021-Sep-01 at 19:02

I am facing the following issue when running a KCL consumer against a LocalStack instance:

...

ANSWER

Answered 2021-Sep-01 at 19:02

Turns out this was much simpler than I thought. I failed to correctly set up the Scheduler.

Source https://stackoverflow.com/questions/68578032

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install amazon-kinesis-client

:warning: We recommend customers to migrate to 1.14.1 or newer to avoid known bugs in 1.14.0 version.
Please open an issue if you have any questions.
Sign up for AWS. Sign up for Amazon Kinesis. Using the Amazon Kinesis Client Library.
Sign up for AWS — Before you begin, you need an AWS account. For more information about creating an AWS account and retrieving your AWS credentials, see AWS Account and Credentials in the AWS SDK for Java Developer Guide.
Sign up for Amazon Kinesis — Go to the Amazon Kinesis console to sign up for the service and create an Amazon Kinesis stream. For more information, see Create an Amazon Kinesis Stream in the Amazon Kinesis Developer Guide.
Minimum requirements — To use the Amazon Kinesis Client Library, you'll need Java 1.8+. For more information about Amazon Kinesis Client Library requirements, see Before You Begin in the Amazon Kinesis Developer Guide.
Using the Amazon Kinesis Client Library — The best way to get familiar with the Amazon Kinesis Client Library is to read Developing Record Consumer Applications in the Amazon Kinesis Developer Guide.

Support

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. 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 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.

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