kafka-connectors | Kafka Source and Sink Connectors | Pub Sub library
kandi X-RAY | kafka-connectors Summary
kandi X-RAY | kafka-connectors Summary
Kafka Source and Sink Connectors
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Top functions reviewed by kandi - BETA
- 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
kafka-connectors Key Features
kafka-connectors Examples and Code Snippets
Community Discussions
Trending Discussions on kafka-connectors
QUESTION
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 17:05You'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:
QUESTION
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 04:36Dockerizing + 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install kafka-connectors
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 .
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