Introduction Log contention in ClickHouse occurs when multiple write operations compete for the same log file, causing performance issues and potentially leading to data corruption. Here are some steps you can take to troubleshoot and […]
Introduction ClickHouse is an open-source columnar database management system that is designed to handle high volumes of data and support high concurrency. However, like any complex system, it is possible for background processes to fail, […]
Introduction ClickHouse is a high-performance column-oriented database management system. It uses a unique approach to both physical and logical I/O that is optimized for performance and scalability. In addition to the physical and logical I/O […]
Introduction The ClickHouse Buffer Cache works by caching frequently accessed data in memory. This cache reduces disk I/O operations and speeds up query performance. The buffer cache is organized as a pool of memory blocks, […]
Introduction A fragmented ClickHouse database can impact performance in several ways: Increased disk I/O: When a database is fragmented, the data is stored in multiple parts across the disk, so it takes more time […]
Introduction Indexes in ClickHouse are implemented as a separate data structure that is stored on disk alongside the table data. The index data structure is used to quickly locate the specific data rows that match […]
Introduction To troubleshoot index corruption in ClickHouse, you can follow these steps: Check the error logs: Look for any error messages related to index corruption in the ClickHouse logs. This can give you a clue […]
Introduction Disk I/O performance is an absolutely critical element of high performance of ClickHouse servers & systems. Troubleshooting disk I/O performance upon observation of any anomalies is helpful in sustaining performance of your system. Runbook […]
Introduction Replication is a critical part of horizontally scaling ClickHouse to meet growing user traffic and data size. Issues in replication are critical to resolve to maintain data integrity and ensure system scalability. In this […]
Introduction Excessive logical I/Os in ClickHouse is a key reason for slow, sub-optimal, and expensive query performance and compromised scalability. In this detailed guide, we share tips & tricks to monitor and troubleshoot logical I/Os […]
PostgreSQL is a registered trademark of the PostgreSQL Community Association. ClickHouse is a registered trademark of ClickHouse, Inc. MongoDB is a registered trademark of MongoDB, Inc. Couchbase is a registered trademark of Couchbase, Inc. Redis is a registered trademark of Redis Ltd. Apache Cassandra is a registered trademark of the Apache Software Foundation. Milvus is a registered trademark of Zilliz. MinIO is a registered trademark of MinIO, Inc. Amazon Redshift and Amazon Aurora are registered trademarks of Amazon.com, Inc. Google Cloud is a registered trademark of Google LLC. Snowflake is a registered trademark of Snowflake Inc. Databricks is a registered trademark of Databricks, Inc. MySQL and InnoDB are registered trademarks of Oracle Corporation. Oracle is a registered trademark of Oracle Corporation. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective owner. Copyrights © 2010-2025. All Rights Reserved by ChistaDATA®.