Copy topic in LOG

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Aug 6th, 2022
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How to copy topic in LOG

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hi everyone welcome back this is junior from confluent in this module i want to talk about how compaction works in apache cop well most people will be maybe mostly familiar with time-based retention encounter in this case you set up the cleaning policy to be deletion and then you set an amount of time how long you want to keep the data in kafka then as those new log segments are generated the oldest set of log segments will be deleted over time if they pass that retention time now whatamp;#39;s compaction compaction is a different way of retaining data instead of retaining data by time it will be retained by key letamp;#39;s take a look at this example in this example all the records are published with keys as you can see some of the records some other keys are duplicated over time so with compaction you basically set a cleaning policy to be compact and then whatamp;#39;s gonna happen is over time only the records with the latest record will be kept if you have some older re

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Click on a source topic, select target topic, and click Start Copying button. Thats it. Kafka Magic will try copying up to Max Results messages from source to target using default schema assignments for the topics.
Kafka provides a publish-subscribe model where producers publish data to topics, and consumers subscribe to those topics to receive the data. It also provides features such as data retention, replication, and partitioning to ensure data reliability and availability.
Kafka stores messages in an ordered data structure called logs. These are not like the traditional logs you might be familiar with. Instead, Kafka logs are named structures that hold records in an immutable manner, distributed across servers. These named structures are called Topics.
Apache Kafka replicates the event log for each topics partitions across a configurable number of servers. This replication factor is configured at the topic level, and the unit of replication is the topic partition.
How to Consume Data in a Kafka Topic using the CLI? Find your the Kafka hostname and port e.g., localhost:9092. Provide the mandatory parameters: topic name. If you need to read historical data, using the --from-beginning option. Otherwise, you will only be reading future data. Use the kafka-console-consumer.sh CLI.
▼Ingesting data into Kafka. Understand the use case. Meet the prerequisites. Build the data flow. Create controller services for your data flow. Configure the processor for your data source. Configure the processor for your data target. Start the data flow. Monitoring your data flow. Next steps. Appendix - Schema example.
Kafka comes with a tool for mirroring data between Kafka clusters. The tool reads from a source cluster and writes to a destination cluster. Data will be read from topics in the source cluster and written to a topic with the same name in the destination cluster. You can find this script in kafka installation directory.
In Kafka, replication means that data is written down not just to one broker, but many. The replication factor is a topic setting and is specified at topic creation time. A replication factor of 3 is a commonly used replication factor as it provides the right balance between broker loss and replication overhead.

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