clickhouse troubleshooting Archives | Page 4 of 4

Runbook to Identify & Monitor Corrupted Indexes

Troubleshooting Corrupted Indexes in ClickHouse

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 […]

Troubleshooting Disk I/O Performance in ClickHouse

Shiv Iyer

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 […]

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 […]

Runbook for Troubleshooting Excessive Logical IOs in ClickHouse

Monitoring and Troubleshooting Excessive Logical I/Os in ClickHouse

Shiv Iyer

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 […]

How to implement Real-time Stream Processing in ClickHouse with Kafka

Shiv Iyer

Introduction Kafka is the ideal open source platform to implement real-time stream processing in ClickHouse for real-time analytics. At ChistaDATA Inc., we have extensive experience in working with Kafka in the context of ClickHouse for […]

Real-Time Performance Monitoring for ClickHouse Cluster Using Python Script

Shiv Iyer

Introduction There are several ways to monitor the performance of a ClickHouse cluster: Using built-in system tables: ClickHouse has several built-in system tables, such as system.metrics, system.metrics_events, and system.query_log, that provide detailed information about the […]

How to Recover ClickHouse After ZooKeeper Metadata is Corrupted?

ClickHouse Troubleshooting: How to Restore/Recover ClickHouse after ZooKeeper Metadata is Corrupted/Lost

ChistaDATA Inc.

Introduction When you are building a highly available ClickHouse Infrastrstucture for scale and performance we use ZooKeeper for ClickHouse Replication Management and Operations with ReplicatedMergeTree table engine. You can expect ZooKeeper to face data loss […]

ChistaDATA Real-time Analytics

ClickHouse Real-Time Analytics: Building Your Infrastructure

Shiv Iyer

Introduction : Building ClickHouse Real-time Analytics Infrastructure I have been a full-time Open Source Database Systems Performance Engineer for the last two decades with deep interests in Database Systems Internals, Database Systems (Transaction Processing and […]

ClickHouse Horizontal Scaling and Capacity Planning

Why I am not able to connect to ClickHouse?

ChistaDATA Inc.

Introduction: ClickHouse Connect Why I am not able to connect with ClickHouse Server? We often this ticket on our support function and the error will be like “Connection reset by peer while reading from socket”. […]

ClickHouse Troubleshooting: How to install BPF Compiler Collection (BCC) on Ubuntu

ChistaDATA Inc.

Introduction Software Infrastructure Observability allows Data Ops. Engineers, SREs and other stakeholders in the ecosystem to easily identify components that need to be tuned proactively for optimal performance. Faster transactions accelerate our customer technology infrastructure. […]

* 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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