Docs/kafka producer default stricky partitioner #2
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- Added instructions for setting up and running the Kafka consumer - Included prerequisites and configuration steps - Provided an overview of the code and key classes - Added commands for verifying message delivery and managing consumer groups - Included references and additional Kafka commands
- Refactor `PropertiesUtils.java` to improve property configuration and add detailed comments. - Update `ConsumerDemo.java` to use the refactored properties configuration. - Implement proper shutdown handling in `ConsumerDemoWithShutdown.java`: - Add shutdown hook to handle `WakeupException` gracefully. - Ensure consumer is closed properly during shutdown. - Add detailed comments for better understanding of the Kafka consumer setup and shutdown process.
- Refactor `PropertiesUtils.java` to enhance property configuration. - Add detailed comments for better understanding of each property. - Refactor `PropertiesUtils.java` to enhance property configuration. - Add detailed comments for better understanding of each property. - Configure `CooperativeStickyAssignor` in `PropertiesUtils.java` for better partition assignment. .
- Explain the difference between synchronous and asynchronous offset commits. - Provide examples of synchronous and asynchronous commit configurations. - Highlight the benefits and drawbacks of each method.
- Explain the purpose and usage of `ConsumerDemoThreads`. - Detail the configuration and implementation of Kafka consumers in threads. - Highlight the advantages and disadvantages of using multiple threads for Kafka consumers.
- Add method to start Kafka producer and connect to Wikimedia RecentChange API - Implement event handler to process and send events to Kafka topic - Update Javadoc comments to accurately describe the functionality
- Set the number of retries to 3 in case of transient errors. - Configure a backoff time of 100 ms between retry attempts. - Enable idempotence to avoid duplicate messages. - Set the delivery timeout to 120000 ms (2 minutes) to ensure messages are not lost.
- Explain the default configurations in Kafka 3.x. - Provide examples of properties that need explicit configuration in versions prior to 3.x. - Include code snippets for enabling idempotence, setting retries, retry backoff, and delivery timeout.
- Add explanation and configuration for `linger.ms` and `batch.size`. - Provide code example for setting `linger.ms` and `batch.size` in Kafka producer. - Discuss advantages and disadvantages of adjusting these properties.
… context of Kafka. Here is a brief explanation of how Kafka handles messages: 1. **Producing Messages**: Producers send messages to Kafka topics. Each message consists of a key, value, and optional metadata. 2. **Partitioning**: Messages are distributed across partitions within a topic. The key determines the partition, ensuring messages with the same key go to the same partition. 3. **Consuming Messages**: Consumers read messages from Kafka topics. They can be configured to read from specific partitions or the entire topic. 4. **Acknowledgments**: Producers can configure acknowledgment settings (`acks`) to ensure messages are properly received by Kafka brokers. 5. **Compression**: Messages can be compressed to save bandwidth and storage. The consumer must decompress the messages. If you need more specific information or code examples, please provide additional details.
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