kafka-streams-in-action | Source code for the Kafka Streams in Action Book | Pub Sub library

by bbejeck Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | kafka-streams-in-action Summary

kafka-streams-in-action is a Java library typically used in Messaging, Pub Sub, Kafka applications. kafka-streams-in-action has build file available, it has a Permissive License and it has low support. However kafka-streams-in-action has 24 bugs and it has 1 vulnerabilities. You can download it from GitHub.

Welcome to the source code for Kafka Streams in Action. Here you'll find directions for running the example code from the book. If any of the examples fail to produce output make sure you have created the topics needed. For those running on Max/*nix there is the create-topic.sh file in the bin directory which creates all required topics ahead of time. If you have any issues with the examples you can post a question in the Manning Authors forum at The examples in Chapter 9 are more involved and require some extra steps to run. The first example we'll go over is the Kafka-Connect and Kafka Streams integration.

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kafka-streams-in-action has a low active ecosystem.

It has 181 star(s) with 114 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kafka-streams-in-action is current.

Quality

kafka-streams-in-action has 24 bugs (2 blocker, 2 critical, 13 major, 7 minor) and 167 code smells.

Security

kafka-streams-in-action has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kafka-streams-in-action code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).

There are 5 security hotspots that need review.

License

kafka-streams-in-action 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

kafka-streams-in-action releases are not available. You will need to build from source code and install.

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

kafka-streams-in-action saves you 2900 person hours of effort in developing the same functionality from scratch.

It has 6265 lines of code, 520 functions and 100 files.

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

Top functions reviewed by kandi - BETA

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

Main method for testing
Generate the stock transactions with a key function
Generates a list of public companies
Main method for testing
Start the server
Gets the properties
Entry point for testing
Generate a beer purchase
Generates a list of beer purchase
Creates a unique hash code
Builds the topology
ProcessesBeer purchase
Main method
Null if values are equal
Transform key - value pair into keyvalue store
Cogroup events
Main method to insert data in DB
Main entry point for testing
Fetches data from state store
Main entry point
Fetches session from session store
Starts a Kafka producer
Creates a hash code for this person
Calculates the Correlated purchase based on another purchase
Compares two Purchase objects
Main method to start the producer

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kafka-streams-in-action Key Features

No Key Features are available at this moment for kafka-streams-in-action.

kafka-streams-in-action Examples and Code Snippets

No Code Snippets are available at this moment for kafka-streams-in-action.

Community Discussions

Trending Discussions on kafka-streams-in-action

Kafka - Controller Broker

KStream.through() not creating intermediate topic, and impacting other processor nodes in topology

QUESTION

Kafka - Controller Broker

Asked 2020-Jul-23 at 19:30

I come across this phrase from https://niqdev.github.io/devops/kafka/ and https://livebook.manning.com/book/kafka-streams-in-action/chapter-2/109 (Kafka Streams in Action )

The controller broker is responsible for setting up leader/follower relationships for all partitions of a topic. If a Kafka node dies or is unresponsive (to ZooKeeper heartbeats), all of its assigned partitions (both leader and follower) are reassigned by the controller broker.

I think it is not correct assignment of follower partitions to other brokers - as the partitions wont heal themselves unless the broker comes back . I know it ONLY happens for leader replica where if the broker that has leader replica gone down, one of the broker that contains follower will become leader. But, I dont think "reassigment" of followers will happen automatically unless reassignment is initiated manually. Please add your inputs

...

ANSWER

Answered 2020-Jul-23 at 19:30

The terminology might be a little off indeed but still applies. Followers are not necessarily assigned to other brokers but they need to change the endpoint to where they are going to send fetch requests. The follower's job is to stay in-sync with the leader, and if the leader has been assigned to a new broker because the old one failed then the followers need to send their fetch requests to the new elected broker. I think that is what reassignment means in the context that you shared.

Source https://stackoverflow.com/questions/63012732

QUESTION

KStream.through() not creating intermediate topic, and impacting other processor nodes in topology

Asked 2020-Feb-23 at 08:26

I am trying out the sample KafkaStreams code from Chapter 4 from the book - Kafka Streams in Action. I pretty much copied the code in github - https://github.com/bbejeck/kafka-streams-in-action/blob/master/src/main/java/bbejeck/chapter_4/ZMartKafkaStreamsAddStateApp.java This is an example using StateStore. When I run the code as is, no data is flowing through the topology. I verified that mock data is being generated, as I can see the offset in the input topic - transactions go up. However, nothing in the output topics, and nothing is printed to console.

However, when I comment line 81-88 (https://github.com/bbejeck/kafka-streams-in-action/blob/master/src/main/java/bbejeck/chapter_4/ZMartKafkaStreamsAddStateApp.java#L81-L88), basically avoid creating the "through()" processor node, the code works. I see data being generated to the "patterns" topics, and output generate in console.

I am using Kafka broker and client version 2.4. Would appreciate any help or pointers to debug the issue.

Thank you, Ahmed.

...

ANSWER

Answered 2020-Feb-23 at 08:26

It is well documented, that you need to create intermediate topic that you use via through() manually and upfront before you start your application. Intermediate topics, similar to input and output topics are not managed by Kafka Streams, but it's the users responsibility to manage them.

Cf: https://docs.confluent.io/current/streams/developer-guide/manage-topics.html

Btw: there is work in progress to add a new repartition() operator that allows you to repartition via a topic that will be managed by Kafka Streams (cf. https://cwiki.apache.org/confluence/display/KAFKA/KIP-221%3A+Enhance+DSL+with+Connecting+Topic+Creation+and+Repartition+Hint)

Source https://stackoverflow.com/questions/60293329

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Vulnerabilities

No vulnerabilities reported

Install kafka-streams-in-action

You can download it from GitHub.
You can use kafka-streams-in-action 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 kafka-streams-in-action 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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