kafka-source-connector | Sample Source Connector for Kafka Connect | Pub Sub library
kandi X-RAY | kafka-source-connector Summary
kandi X-RAY | kafka-source-connector Summary
Sample Source Connector for Kafka Connect
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Top functions reviewed by kandi - BETA
- 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
kafka-source-connector Key Features
kafka-source-connector Examples and Code Snippets
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Trending Discussions on kafka-source-connector
QUESTION
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)
- Distributed Official Mongodb Kafka Source Connector with Multiple tasks Not working
- What is the relationship between connectors and tasks in Kafka Connect?
- Whether this property
tasks.num
will have any impact like in the case of fail over etc ..? Say , iftasks.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 ? - 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 16:10For 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
QUESTION
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 14:05The 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.
QUESTION
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:
- AWS Kinesis Firehose to Kafka Connector (Kafka -> Consumer)
- 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 12:53MSK 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
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