flink-siddhi | A CEP library to run Siddhi within Apache Flink™ Streaming Application | Stream Processing library

by haoch Java Version: v0.2.1 License: Apache-2.0

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

kandi X-RAY | flink-siddhi Summary

flink-siddhi is a Java library typically used in Data Processing, Stream Processing, Spark applications. flink-siddhi 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.

[Clojars Project] Siddhi CEP is a lightweight and easy-to-use Open Source Complex Event Processing Engine (CEP) released as a Java Library under Apache Software License v2.0. Siddhi CEP processes events which are generated by various event sources, analyses them and notifies appropriate complex events according to the user specified queries. This project is mainly to provide a light-weight library to easily run Siddhi CEP within flink streaming application.

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Quality

Security

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Support

flink-siddhi has a low active ecosystem.

It has 232 star(s) with 94 fork(s). There are 29 watchers for this library.

It had no major release in the last 12 months.

There are 42 open issues and 15 have been closed. On average issues are closed in 21 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of flink-siddhi is v0.2.1

Quality

flink-siddhi has 0 bugs and 0 code smells.

Security

flink-siddhi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flink-siddhi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flink-siddhi 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

flink-siddhi releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

flink-siddhi saves you 1731 person hours of effort in developing the same functionality from scratch.

It has 3833 lines of code, 325 functions and 51 files.

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

Top functions reviewed by kandi - BETA

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

Process a single stream record
Parse the query
Gets the row
Returns the index of the specified field names
Process an element
Add an execution plan
Check the record queue state
Receive execution plan
Process events
Convert a row to a tuple
Converts an object array to a Tuple object
Build a map from attributes
Define siddhi operator
Register a streaming stream with given parameters
Define a siddhi stream
Restore state from state store
Restore the queue state
Process the events
Converts an event into a map
Process watermark
This method is used to restore the state of the queue
Deserialize the message
Convert DataStream to DataStream
Takes a queue snapshot of all streams

Get all kandi verified functions for this library.

flink-siddhi Key Features

No Key Features are available at this moment for flink-siddhi.

flink-siddhi Examples and Code Snippets

No Code Snippets are available at this moment for flink-siddhi.

Community Discussions

Trending Discussions on flink-siddhi

Not able to process kafka json message with Flink siddhi library

QUESTION

Not able to process kafka json message with Flink siddhi library

Asked 2021-May-25 at 10:00

I am trying to create a simple application where the app will consume Kafka message do some cql transform and publish to Kafka and below is the code:

JAVA: 1.8 Flink: 1.13 Scala: 2.11 flink-siddhi: 2.11-0.2.2-SNAPSHOT

I am using library: https://github.com/haoch/flink-siddhi

input json to Kafka:

...

ANSWER

Answered 2021-May-25 at 07:59

Initial guess: if you are using even time, are you sure you have defined watermarks correctly? As stated in the docs:

(...) an incoming element is initially put in a buffer where elements are sorted in ascending order based on their timestamp, and when a watermark arrives, all the elements in this buffer with timestamps smaller than that of the watermark are processed (...)

If this doesn't help, I would suggest to decompose/simplify the job to a bare minimum, for example just a source operator and some naive sink printing/logging elements. And if that works, start adding back operators one by one. You could also start by simplifying your CEP pattern as much as possible.

Source https://stackoverflow.com/questions/67656155

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

Vulnerabilities

No vulnerabilities reported

Install flink-siddhi

You can download it from GitHub.
You can use flink-siddhi 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 flink-siddhi 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 .