kafka-source-connector | Sample Source Connector for Kafka Connect | Pub Sub library

 by   riferrei Java Version: Current License: No License

kandi X-RAY | kafka-source-connector Summary

kandi X-RAY | kafka-source-connector Summary

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

Sample Source Connector for Kafka Connect
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              kafka-source-connector has a low active ecosystem.
              It has 18 star(s) with 10 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              kafka-source-connector has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kafka-source-connector is current.

            kandi-Quality Quality

              kafka-source-connector has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              kafka-source-connector 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.
              Installation instructions, examples and code snippets are available.
              kafka-source-connector saves you 203 person hours of effort in developing the same functionality from scratch.
              It has 497 lines of code, 28 functions and 10 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kafka-source-connector and discovered the below as its top functions. This is intended to give you an instant insight into kafka-source-connector implemented functionality, and help decide if they suit your requirements.
            • Add the parameters .
            • Runs the thread to monitor a topic regex pattern .
            • Validate the configuration .
            • Gets the task configurations .
            • Poll the source .
            • Creates a config definition .
            • Stops the monitoring thread .
            • Get the version of the connector .
            • Get connector version
            Get all kandi verified functions for this library.

            kafka-source-connector Key Features

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

            kafka-source-connector Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Kafka connect - how many tasks per connector
            Asked 2022-Jan-15 at 16:12

            As I see from the documentation and other references, it seems the connector will be instantiated with a single task no matter the value defined through the property (tasks.num)

            1. Whether this property tasks.num will have any impact like in the case of fail over etc ..? Say , if tasks.num is configured with 2 and a jdbc connector is used with a single task and if that task fails and other will take over ?
            2. What is the significance of distributed mode in this case, effectively, the connector is created with a single task ?
            ...

            ANSWER

            Answered 2022-Jan-15 at 16:10

            For the source connector, as linked, this is because it uses a single Change Stream cursor. How exactly do you expect more than one task to not get conflicting information such as read the same data and duplicate it into the topic?

            Connect runs sources and sinks. Many sources only support single tasks, but it depends on their internal threading model; for example, you could have one task per collection/table, but if there's only one unified item, such as a change-stream or binlog, then there can only be one task. You've mentioned JDBC, however Debezium would be preferred for CDC, if it supports your database.

            Distribution is also for fault tolerance, not just scalability. Only some exceptions are recoverable and can be restarted on other nodes

            Source https://stackoverflow.com/questions/70723043

            QUESTION

            Kafka Connect Cluster does not load simple connector plugin
            Asked 2021-Dec-17 at 14:05

            I tried to load a simple Kafka connector in Connect Cluster. I created jar for the connector and started Kafka Connect as a docker. In the logs I can see that it's loading the plugin. Docker mounts jar file properly. However when calling http://localhost:8083/connector-plugins my custom connector is not on the list.

            I have simply built and started docker-compose from this repo: https://github.com/riferrei/kafka-source-connector. Avalable plugin list I have is: [{"class":"io.confluent.connect.activemq.ActiveMQSourceConnector","type":"source","version":"5.5.0"},{"class":"io.confluent.connect.elasticsearch.ElasticsearchSinkConnector","type":"sink","version":"5.5.0"},{"class":"io.confluent.connect.ibm.mq.IbmMQSourceConnector","type":"source","version":"5.5.0"},{"class":"io.confluent.connect.jdbc.JdbcSinkConnector","type":"sink","version":"5.5.0"},{"class":"io.confluent.connect.jdbc.JdbcSourceConnector","type":"source","version":"5.5.0"},{"class":"io.confluent.connect.jms.JmsSourceConnector","type":"source","version":"5.5.0"},{"class":"io.confluent.connect.s3.S3SinkConnector","type":"sink","version":"5.5.0"},{"class":"io.confluent.connect.storage.tools.SchemaSourceConnector","type":"source","version":"5.5.0-ccs"},{"class":"org.apache.kafka.connect.file.FileStreamSinkConnector","type":"sink","version":"5.5.0-ccs"},{"class":"org.apache.kafka.connect.file.FileStreamSourceConnector","type":"source","version":"5.5.0-ccs"},{"class":"org.apache.kafka.connect.mirror.MirrorCheckpointConnector","type":"source","version":"1"},{"class":"org.apache.kafka.connect.mirror.MirrorHeartbeatConnector","type":"source","version":"1"},{"class":"org.apache.kafka.connect.mirror.MirrorSourceConnector","type":"source","version":"1"}]

            Does anyone have an idea what could be an issue that the connector is not on the list? Or a hint what could I check?

            ...

            ANSWER

            Answered 2021-Dec-17 at 14:05

            The problem was in IntelliJ config, I have started mvn commands using IDE and there in Project language level was set to Java 16. After changing it to 8 connector (as matching in pom.xml) was loaded by kafka connect cluster.

            Source https://stackoverflow.com/questions/69637279

            QUESTION

            How To Run Kafka Camel Connectors On Amazon MSK
            Asked 2021-Jun-10 at 09:35

            Context: I followed this link on setting up AWS MSK and testing a producer and consumer and it is setup and working correctly. I am able to send and receive messages via 2 separate EC2 instances that both use the same Kafka cluster (My MSK cluster). Now, I would like to establish a data pipeline all the way from Eventhubs to AWS Firehose which follows the form:

            Azure Eventhub -> Eventhub-to-Kafka Camel Connector -> AWS MSK -> Kafka-to-Kinesis-Firehose Camel Connector -> AWS Kinesis Firehose

            I was able to successfully do this without the use of MSK (via regular old Kafka) but for unstated reasons need to use MSK now and I can't get it working.

            Problem: When trying to start the connectors between AWS MSK and the two Camel connectors I am using, I get the following error:

            These are the two connectors in question:

            1. AWS Kinesis Firehose to Kafka Connector (Kafka -> Consumer)
            2. Azure Eventhubs to Kafka Connector (Producer -> Kafka)

            Goal: Get these connectors to work with the MSK, like they did without it, when they were working directly with Kafka.

            Here is the issue for Firehose:

            ...

            ANSWER

            Answered 2021-May-04 at 12:53

            MSK doesn't offer Kafka Connect as a service. You'll need to install this on your own computer, or on other AWS compute resources. From there, you need to install the Camel connector plugins

            Source https://stackoverflow.com/questions/67375228

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

            Vulnerabilities

            No vulnerabilities reported

            Install kafka-source-connector

            Open a terminal to execute the following command:.

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            https://github.com/riferrei/kafka-source-connector.git

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            gh repo clone riferrei/kafka-source-connector

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            git@github.com:riferrei/kafka-source-connector.git

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