Introduction In the realm of data management and analytics, performance is paramount. When dealing with large datasets, every bit of optimization counts. ClickHouse, the open-source column-oriented database management system, offers a plethora of settings to […]
Introduction In the ever-evolving landscape of technology, businesses rely heavily on databases to store and manage vast amounts of data. As the volume of data continues to grow, ensuring efficient and secure database management becomes […]
Introduction Every new release includes new features, enhancements, and numerous bug fixes, and the ChistaDATA team always stays on top of the latest releases. On December 29, 2023, ClickHouse version 23.12 was released, and this […]
Introduction Every new release includes new features, enhancements, and numerous bug fixes, and the ChistaDATA team always stays on top of the latest releases. On December 06, 2023, ClickHouse version 23.11 was released, and this […]
Introduction Every new release includes new features, enhancements, and numerous bug fixes, and the ChistaDATA team always stays on top of the latest releases. On November 02, 2023, ClickHouse version 23.10 was released, and this […]
ClickHouse is a popular open-source columnar database management system known for its high performance and efficient query execution. To maintain optimal performance and manage storage resources effectively, ClickHouse provides the OPTIMIZE and OPTIMIZE FINAL commands. […]
The query filters the data from the ‘system.query_log’ table to include only entries of type 2 (QueryFinish) and 4 (ExceptionWhileProcessing) and groups the results by the ‘normalized_query_hash’. The results are then sorted by the difference […]
Following query will show you ClickHouse Disks via reading system.disks table. SELECT name, path, formatReadableSize(sum(free_space)) as free_space, formatReadableSize(sum(total_space)) as total_space, formatReadableSize(sum(keep_free_space)) as keep_free_space, type FROM system.disks GROUP BY name, path, type FORMAT PrettyCompact Example Output: […]
Following sql query will show you queries that being processed. SELECT user, address as client, elapsed as time_seconds, formatReadableSize(memory_usage) as memory, formatReadableSize(read_bytes) as read, read_rows, total_rows_approx as total_rows, query_id, substring(query,1,40) as query FROM system.processes ORDER […]
We developed a shard config xml generator for ClickHouse. All you have to do download and run the python script and enter your cluster informations to generate an example config file. Download file via GitHub […]
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