Apache Kafka is a distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Zookeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. It is a critical component of Kafka, responsible for managing the metadata and ensuring the health of the Kafka cluster.
When working with Kafka Zookeeper, you might encounter the DATA_TOO_LARGE error. This error typically occurs when the data being written to a Zookeeper node exceeds the maximum allowed size. This can disrupt the normal operation of your Kafka cluster, leading to potential data loss or unavailability of services.
The DATA_TOO_LARGE error is triggered when the size of the data being stored in a Zookeeper node surpasses the configured limit. By default, Zookeeper has a maximum node size limit of 1MB. This limit is in place to ensure that Zookeeper remains performant and reliable, as larger nodes can lead to increased memory usage and slower performance.
This issue often arises in scenarios where large amounts of metadata or configuration data are being stored in Zookeeper nodes. It can also occur if there is a misconfiguration or if the application logic inadvertently attempts to store large data blobs in Zookeeper.
To resolve the DATA_TOO_LARGE error, you can either reduce the size of the data being stored or increase the maximum data size setting in Zookeeper. Below are the steps to address this issue:
If reducing the data size is not feasible, you can increase the maximum data size limit in Zookeeper:
zoo.cfg configuration file for your Zookeeper installation.jute.maxbuffer=2097152.For more information on configuring Zookeeper and handling large data, refer to the following resources:
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