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Runbook #16 – Wide Partition Use Case, Errors and Warnings In Logs, and YugabyteDB Cluster Set-Up

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This document provides an overview of common errors and warnings that can appear in the logs of a Cassandra node. It lists different error and warning messages that you should look for in the system and debug log files of your Cassandra nodes. Additionally, it discusses the issues caused by large partitions in Cassandra, such as read and write performance problems and uneven data distribution. The document provides a solution to these issues by breaking down large partitions into small chunks through data model redesign. However, it cautions that changing the primary key of a table can be a time-consuming and resource-intensive process, depending on the size of the table and the amount of data it contains.

Excerpted from the text – “Note that because you are changing the primary key of the table and changing the primary key directly can be a time-consuming and resource-intensive process, depending on the size of the table and the amount of data it contains.”

 

Questions the Runbook Answers:

  1. What is Cassandra and what are its key features?

  2. How does data replication work in a Cassandra cluster?

  3. What are the common errors and warnings that can appear in Cassandra logs, and how can they be fixed?

  4. What is a partition key in Cassandra and why is it important?

  5. What are some best practices for designing data models in Cassandra?

  6. How does Cassandra handle writes and reads, and what is the role of a coordinator node?

  7. What are the benefits of using Cassandra for time series data?

  8. What is Cassandra’s consistency model and how does it differ from traditional databases?

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