kafka-connectors | Kafka Source and Sink Connectors | Pub Sub library

 by   srijiths Java Version: Current License: No License

kandi X-RAY | kafka-connectors Summary

kandi X-RAY | kafka-connectors Summary

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

Kafka Source and Sink Connectors
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            kandi-support Support

              kafka-connectors has a low active ecosystem.
              It has 19 star(s) with 10 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 10 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kafka-connectors is current.

            kandi-Quality Quality

              kafka-connectors has 0 bugs and 0 code smells.

            kandi-Security Security

              kafka-connectors has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              kafka-connectors code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              kafka-connectors does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              kafka-connectors 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-connectors saves you 295 person hours of effort in developing the same functionality from scratch.
              It has 711 lines of code, 42 functions and 14 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kafka-connectors and discovered the below as its top functions. This is intended to give you an instant insight into kafka-connectors implemented functionality, and help decide if they suit your requirements.
            • Polls jmx messages from Kafka
            • Convert a set of beans to json
            • Converts real time messages to a source record
            • Return a list of all beans registered in the JMX server
            • Initialize the JmxSource connector
            • Gets a list of all Kafka brokers
            • Initialize JMX connection
            • Create the JMX environment
            • Stop the Kafka source
            • Close the JMX connector
            • Get the version of the connector
            • Get project version
            • Convert file content to string
            • Create a list of TaskConfigs for each JMXTask
            • Initialize the configs
            • Returns the version
            • Closes the given ZooKeeper
            • Create default connector configuration
            Get all kandi verified functions for this library.

            kafka-connectors Key Features

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

            kafka-connectors Examples and Code Snippets

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

            Community Discussions

            QUESTION

            How to Connect Kafka to Postgres in Heroku
            Asked 2021-Feb-11 at 17:05

            I have some Kafka consumers and producers running through my Kafka instance on my Heroku Cluster. I'm looking to create a data sink connector to connect Kafka to PosytgreSQL to put data FROM Kafka TO my heroku PostgreSQL instance. Pretty much like the HeroKu docs, but one way.

            I can't figure out the steps I need to take to achieve this.

            The docs say to look at the Gitlab or Confluence Ecosystem page but i can't find any mention of Postgres in these.

            Looking in the Confluent Kafka Connectors library there seems to something from Debezium but i'm not running Confluent.

            The diagram in the Heroku docs mentions a JDBC connector? I found this Postgres JDBC driver, should I be using this?

            I'm happy to create a consumer and update postgres manually as the data comes if that's what's needed, but I feel that Kafka to Postgres must be a common enough interface that there should be something out there to manage this?

            I'm just looking for some high level help or examples to set me on the right path.

            Thanks

            ...

            ANSWER

            Answered 2021-Feb-11 at 17:05

            You're almost there :)

            Bear in mind that Kafka Connect is part of Apache Kafka, and you get a variety of connectors. Some (e.g. Debezium) are community projects from Red Hat, others (e.g. JDBC Sink) are community projects from Confluent.

            The JDBC Sink connector will let you stream data from Kafka to a database with a JDBC driver - such as Postgres.

            Here's an example configuration:

            Source https://stackoverflow.com/questions/66010842

            QUESTION

            Advantages of dockerizing Java Springboot application?
            Asked 2018-Feb-22 at 14:31

            We are working with a dockerized kafka environment. I would like to know the best practices for deployments of kafka-connectors and kafka-streams applications in such scenerio . Currently we are deploying each connector and stream as springboot applications and are started as systemctl microservices . I do not find a significant advantage in dockerizing each kafka connector and stream . Please provide me insights on the same

            ...

            ANSWER

            Answered 2018-Feb-21 at 04:36

            Dockerizing + clustering with kubernetes provide many benefits like auto healing, auto horizontal scaling.

            Auto healing: in case spring application crashes, kubernetes will automatically run another instances and will ensure required number of containers are always up.

            Auto horizontal scaling: if you get burst of messages, yo can tune spring applications to auto scale up or down using HPA that can use custom metrics also.

            Source https://stackoverflow.com/questions/48885094

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

            Vulnerabilities

            No vulnerabilities reported

            Install kafka-connectors

            You can download it from GitHub.
            You can use kafka-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 kafka-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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