Clear up topic in LOG

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Aug 6th, 2022
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How to clear up topic in LOG

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hello and welcome to the mammal manual Iamp;#39;m Sebastian and Iamp;#39;m Iris and today weamp;#39;ll be covering nine problems from Meet 4 topic 2 logs and log equations without further Ado letamp;#39;s jump right into it since this topic is called logs and log equations itamp;#39;ll be helpful to know what a log actually is before we jump into some of these problems so taking a look up here if we have the equation B to the x is equal to a then this statement is true log base B of A is equal to X up here we have our normal exponential function where we have some base we raise it to a certain exponent and we get our answer when we have a log we keep the same base but we swap the exponent and the answer so instead of the exponent being our input our answer is now our input okay so we are swapping the inputs and the outputs now when we get to meet four topic four which is functions that has a special name when we swap the inputs and the outputs they become inverse functions so you

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Kafka Log Cleanup Policies This is the default for all the user topics. With this policy configured for a topic, Kafka deletes events older than the configured retention time. The default retention period is a week.
You can use the bin/kafka-delete-records.sh command to delete the bad data from Kafka. This command allows you to delete all the records from the beginning of a partition, until the specified offset. Given the example log entry above, the details of the record to be deleted are for partition Topic0-0 at offset 2.
Reducing Kafka lag. The easiest method to solve Kafka lag is to scale horizontally by adding more consumers. But merely adding consumers without adding partitions may result in idle consumers. Hence this decision requires updating the Kafka topic configurations as well.
Resetting Offsets This capability is provided by Kafka consumer groups through a feature known as reset offsets. By using the command --reset-offsets , we can adjust the offsets to-earliest , targeting the initial data available within the topic.
Use the Metrics API to monitor Kafka Consumer Lag. Use the Confluent Cloud Console to Monitor Kafka Consumer Lag. Use Client Interceptors to monitor Kafka Consumer Latency. Use Java Client Metrics to monitor Kafka Offset Lag.
The delete policy (which is the default) will discard old segments when their retention time or size limit has been docHubed. The compact policy will enable log compaction, which retains the latest value for each key.
Kafka users can achieve optimal latency and ensure their data pipelines perform optimally by carefully tuning these factors. A few specific strategies to reduce Kafka latency include: optimizing network settings, increasing hardware resources, and configuring Kafka producers and consumers to operate more efficiently.

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