amazon-kinesis-connectors | Amazon Kinesis connector application is a pipeline | Pub Sub library

by awslabs Java Version: 1.3.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | amazon-kinesis-connectors Summary

amazon-kinesis-connectors is a Java library typically used in Messaging, Pub Sub, Kafka applications. amazon-kinesis-connectors has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

Each Amazon Kinesis connector application is a pipeline that determines how records from an Amazon Kinesis stream will be handled. Records are retrieved from the stream, transformed according to a user-defined data model, buffered for batch processing, and then emitted to the appropriate AWS service.

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Security

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Support

amazon-kinesis-connectors has a low active ecosystem.

It has 328 star(s) with 193 fork(s). There are 64 watchers for this library.

It had no major release in the last 12 months.

There are 36 open issues and 25 have been closed. On average issues are closed in 148 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of amazon-kinesis-connectors is 1.3.0

Quality

amazon-kinesis-connectors has no bugs reported.

Security

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

License

amazon-kinesis-connectors 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-connectors 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Emits a set of records to Amazon S3
Executes a Redshift copy
Returns the count of files that are already present in the Redshift table
Generate a manifest format for the S3 manifest file
Setup required resources for this executor
Creates and waits for a stream to become available
Creates a stack if it already exists
Emits a bulk request
Print cluster health
Process the given input stream
Shutdown pipelined processor
Iterate over the input file
Returns true if this message model equals another message model
Returns a list of Amazon Kinesis streams
Initialize pipelinedRecord processor
Create a record processor
Setup input stream
Emits the records from the Redshift file
Emits a list of records to Amazon S3
Shutdown record processor
Convert message object to map
Emits an unmodifiable write request into a batch
Returns a hash code for this instance
Converts a Record to Elasticsearch object
Process records
Runs a Redshift manifest sample

Get all kandi verified functions for this library.

amazon-kinesis-connectors Key Features

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

amazon-kinesis-connectors Examples and Code Snippets

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

Community Discussions

Trending Discussions on amazon-kinesis-connectors

Start Kinesis consumer only when there's over x number of records?

Load balancing and scaling in Kinesis Client library (KCL) based application

AWS Kinesis Connector Library

QUESTION

Start Kinesis consumer only when there's over x number of records?

Asked 2019-Nov-28 at 07:28

Is there a way to create a Kinesis consumer with buffer limits? Like here:

...

ANSWER

Answered 2019-Nov-28 at 07:28

I ended up implementing my own solution.

Have a ConcurrentHashMap to store the streaming data

Source https://stackoverflow.com/questions/53575237

QUESTION

Load balancing and scaling in Kinesis Client library (KCL) based application

Asked 2018-Feb-16 at 18:20

I am using amazon-kinesis-connectors to build a kinesis client side application. I am figuring out few things about it.

How KCL ensures load balancing and scaling. for example i have a stream with one shard and a lot of records/events are put for 15 mintues in whole day or for certain time. So how it will take care of such sudden traffic and load.

...

ANSWER

Answered 2018-Feb-16 at 18:20

For load balancing, you need multiple shards. Kinesis attempts to balance the number of shards each worker takes on - if you only have one shard, you won't get any benefit from more than one worker. See my related answer here for a bit more information on how Kinesis load balancing works.

As for scaling - each shard has a limit to maximum amount of traffic it can take - from the kinesis limitation docs:

Each shard can support up to 1,000 records per second for writes, up to a maximum total data write rate of 1 MB per second

The way you scale up with kinesis is add more shards - more shards == more throughput. You can either have these shards pre-created, or you can add them as your traffic increases.

Source https://stackoverflow.com/questions/48618673

QUESTION

AWS Kinesis Connector Library

Asked 2017-May-15 at 11:30

I am developing a real-time streaming application which needs to send information to AWS Kinesis streams and from there to AWS Redshift. Based on my reading and understanding of documentation, following are the options to push information from Kinesis Streams to Redshift:

Kinesis Streams -> Lambda Function -> Redshift
Kinesis Streams -> Lambda Function -> Kinesis Firehose -> Redshift
Kinesis Streams -> Kinesis Connector Library -> Redshift (https://github.com/awslabs/amazon-kinesis-connectors)

I found the Kinesis Connector option to be the best option for moving information from Streams to Redshift. However, I am not able to understand where do we deploy this library and how does this run? Does this need to run as a lambda function or as a java function on an EC2 instance. Based on the readme I am not able to get that information. In case anyone has worked with connectors successfully, I will appreciate the insight very much.

...

ANSWER

Answered 2017-May-15 at 11:30

If you're using the Kinesis Connector Library then you want to deploy it on an EC2 instance, but using a Lambda function without the Connector Library is a lot easier and better in my opinion. It handles batching, scaling up your instance invocation and retries. Dead Letter Queues are probably coming soon too for Lambda + Kinesis.

Basically it's a lot easier to scale and deal with failures in Lambda.

Source https://stackoverflow.com/questions/43977791

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

Vulnerabilities

No vulnerabilities reported

Install amazon-kinesis-connectors

You can download it from GitHub, Maven.
You can use amazon-kinesis-connectors like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the amazon-kinesis-connectors component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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