ClickHouse Replication Archives

ClickHouse Troubleshooting Techniques: 8 Proven Drills We Teach

The ClickHouse troubleshooting techniques taught in CHT-400 at ChistaDATA University: a scope, prove, fix method and the diagnostic queries for eight production incidents, from too many parts to distributed timeouts.

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ClickHouse 26.8 LTS: 7 Essential Performance and HA Changes

ChistaDATA Inc.

ClickHouse 26.8 LTS read for production: adaptive aggregation, IEJoin, plan-based parallel replicas, Keeper on disk, always_fetch_mutated_part, and the 26.3 to 26.8 breaking-change checklist for self-managed and Cloud.

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ClickHouse Sharding Troubleshooting and Performance Optimization

ChistaDATA Inc.

A field guide to ClickHouse sharding troubleshooting: Distributed send-queue backlogs, duplicate rows from internal_replication, shard skew, initiator merge bottlenecks, distributed JOIN failures and unavailable shards, each with the system.* evidence, the mechanism, the staged fix, and the alert that catches it early.

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multi-region ClickHouse deployment architecture showing distributed cluster replication : Sharding and Resharding Strategies

Designing Multi-Region ClickHouse Deployments for Global Scale: 3 Best Patterns

ChistaDATA Inc.

ClickHouse multi-region deployment is one of the most architecturally demanding problems in distributed analytics. When your users span three continents, a single-region cluster becomes a latency ceiling, a compliance liability, and a single point of […]

ClickHouse Data Compression Techniques for Time-series Datasets

Using ClickHouse-Backup for Comprehensive ClickHouse® Backup and Restore Operations

ChistaDATA Inc.

ClickHouse®-Backup Tool ClickHouse® has become a cornerstone technology for organizations handling massive analytical workloads, but with great data comes great responsibility for backup and disaster recovery. The clickhouse® -backup tool emerges as the de facto […]

ClickHouse Replication: Understanding High Watermark Mechanism for Horizontal Scaling

ClickHouse High Watermark: Replication Mechanism for Horizontal Scaling

Shiv Iyer

Introduction In ClickHouse, the term “high watermark” refers to a mechanism used to track the progress of data replication in a distributed environment. It helps ensure data consistency and integrity across multiple replicas of a ClickHouse […]

Setup ClickHouse Cluster Replication with Zookeeper

ChistaDATA Inc.

Introduction ClickHouse is a powerful and versatile open-source columnar database management system known for its fast performance and high scalability. If you’re looking to build your own ClickHouse cluster, there are several options available, such […]

ClickHouse MergeTree: Introduction to ReplicatedMergeTree

ChistaDATA Inc.

Introduction: ReplicatedMergeTree ClickHouse has MergeTree family of engines and data replication can be achieved through the replicated version of the MergeTree family engines. This replication works on an individual table level. ClickHouse has recently added […]

Runbook for Troubleshooting ClickHouse Replication

Shiv Iyer

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 […]

How to Setup a 6-Node Cluster in ClickHouse with Horizontal Scaling

ClickHouse 6-Node Cluster Setup with Replication and Sharding

ChistaDATA Inc.

Introduction ClickHouse implements replication and sharding through a combination of distributed tables and replication settings. Replication in ClickHouse is implemented by creating a cluster of servers, each of which contains a copy of the same […]

* 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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