ClickHouse DBA Script Archives

ClickHouse Search: Manticore Full Text Search with Plain Index

Essential ClickHouse Metrics

Essential ClickHouse Metrics: What to Monitor for Optimal Performance ClickHouse, the high-performance columnar database management system, exposes over 1,000 metrics for monitoring and observability 5. With such an extensive array of available metrics, selecting the […]

ClickHouse Search: Case-sensitive Searches with UPPER & LOWER Functions

Boosting Materialized View Performance

ChistaDATA Inc.

Aggregation States: Boosting Materialized View Performance by 10x in ClickHouse ClickHouse has long been celebrated for its lightning-fast analytical query performance, especially when handling massive datasets in real time. One of the most powerful features […]

Troubleshooting Underutilized ClickHouse Index

Unlock Blistering Query Speed with ClickHouse LowCardinality

ChistaDATA Inc.

Unlock Blistering Query Speed with ClickHouse LowCardinality: A ChistaDATA Guide ClickHouse is famous for raw speed, but some of its most powerful tools remain under-documented. Among them, the LowCardinality data type is arguably the simplest […]

Tuning index_granularity for ClickHouse Performance

Connect Prometheus to Your ClickHouse® Cluster

ChistaDATA Inc.

Connect Prometheus to Your ClickHouse® Cluster: Complete Monitoring and Observability Guide Introduction In today’s data-driven landscape, monitoring your database infrastructure is crucial for maintaining optimal performance, ensuring reliability, and preventing costly downtime. ClickHouse®, renowned for […]

ClickHouse Query Optimization For E-commerce Analytics

Transforming Your Data in a Managed ClickHouse® Cluster with dbt

Shiv Iyer

Transforming Your Data in a Managed ClickHouse® Cluster with dbt: A Complete Guide Introduction In today’s data-driven landscape, organizations are constantly seeking efficient ways to transform raw data into actionable insights. The combination of ClickHouse®, […]

Mastering Custom Partitioning Keys in ClickHouse: A Complete Guide

Shiv Iyer

Mastering Custom Partitioning Keys in ClickHouse: A Complete Guide When working with large-scale data analytics, proper partitioning strategy can make the difference between lightning-fast queries and sluggish performance. ClickHouse’s custom partitioning keys offer powerful capabilities […]

How Regular Expressions Are Implemented in ClickHouse

ClickHouse ReplacingMergeTree Explained

ChistaDATA Inc.

ClickHouse ReplacingMergeTree Introduction ClickHouse ReplacingMergeTree is a powerful table engine designed to handle data deduplication in analytical workloads. While it promises to solve duplicate data challenges, understanding its nuances is crucial for successful implementation. This […]

Building Fast Data Loops in ClickHouse®

ChistaDATA Inc.

Building Fast Data Loops in ClickHouse: From Insert to Query Response in ClickHouse® In today’s data-driven world, the speed at which you can ingest, process, and query data determines your competitive advantage. ClickHouse® excels at […]

Open-Source Trino ODBC Driver for MinIO/StorageGRID Integration

Shiv Iyer

Technical Guide: Implementing the Open-Source Trino ODBC Driver for MinIO/StorageGRID Integration Welcome to this implementation guide for the Trino ODBC driver, designed to integrate seamlessly with MinIO and StorageGRID systems. We have developed this resource […]

Finding Missing Values in ClickHouse: Efficient Techniques for Data Comparison

Shiv Iyer

Finding Missing Values in ClickHouse Finding missing values in datasets is a common task in data analysis, especially when comparing two lists or tables to identify discrepancies. In ClickHouse, while there’s no built-in EXCEPT or […]

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from ChistaDATA Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

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