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Archiving Data From PostgreSQL to ClickHouse
Archival Store

Archiving Data From PostgreSQL to ClickHouse

ChistaDATA Inc.

Introduction Every year, databases store more data than they did the year before. Also, regulatory requirements are forcing businesses to monitor all of their data and exercise control over its management and retention. This calls […]

ClickHouse on Kubernetes: Running ClickHouse Cluster on Minikube
ChistaDATA

ClickHouse on Kubernetes: Running ClickHouse Cluster on Minikube

ChistaDATA Inc.

Introduction Kubernetes orchestration simplifies many common operational concerns like scheduling, auto-scaling, and failover. It has support for Persistent Volumes and Persistent Volume Claims ( PV & PVC ). Usually, databases that support replication, sharding, and […]

ClickHouse Security: How to set up TLS-SSL for ClickHouse Server
ChistaDATA Performance

ClickHouse Security: How to set up TLS-SSL for ClickHouse Server

ChistaDATA Inc.

Introduction Since databases are where data is stored in systems, they are among the most valuable and secure parts of the system. The results of the studies show that database security is not given much […]

ClickHouse MergeTree: Transaction Isolation Levels with ClickHouse
ChistaDATA

Transaction Isolation Levels in ClickHouse

ChistaDATA Inc.

Introduction In this article, we will talk about the isolation levels used in database systems. As you know, four different features maintain consistency in a database. These are; Atomicity, Consistency, Isolation, and Durability (ACID for […]

Compression Algorithms and Codecs in ClickHouse
ChistaDATA

Compression Algorithms and Codecs in ClickHouse

ChistaDATA Inc.

Introduction The amount of data stored in databases is increasing day by day. This increases the cost required for data storage and network access. Compression techniques are a commonly used method to save storage space […]

How to Ingest Data from a Kafka topic in ClickHouse
ChistaDATA

How to Ingest Data from a Kafka Topic in ClickHouse

ChistaDATA Inc.

Introduction Apache Kafka is a distributed event streaming platform developed by Apache Software Foundation. Visit the official page before proceeding for a detailed introduction to the basics of Kafka. The installation instructions are available here. ClickHouse […]

ClickHouse MergeTree: Introduction to ClickHouse Storage Engine Types
ClickHouse

ClickHouse MergeTree: Introduction to ClickHouse Storage Engine Types

ChistaDATA Inc.

Introduction Data is a collection of information that can be used for many different purposes, including big-volume data analysis, external data integration, and many more in ClickHouse. Broadly, engines play a key role in these […]

High Availability (HA) and Replication in ClickHouse
ClickHouse

High Availability (HA) and Replication in ClickHouse

ChistaDATA Inc.

Introduction Is 90% availability good? Why is high availability important? What does that mean for a business in plain terms? Let’s dive into them. What is High Availability (HA)? Business critical databases require minimal downtime […]

ClickHouse Release Notes
ChistaDATA

ClickHouse August 2022 Release – v22.8

ChistaDATA Inc.

Introduction ClickHouse version 22.08 (August 2022) was released on August 18, 2022. This version includes 12 new features, 12 performance improvements, +40 other improvements, and over 45 bug fixes. For more information, please visit the […]

ClickHouse Performance: Comprehensive Guide to SQL Engineering Best Practices
ChistaDATA

ClickHouse Performance: Comprehensive Guide to SQL Engineering Best Practices

ChistaDATA Inc.

Introduction SQL is the computer language used to communicate with Databases. It is also an important key factor for database performance. If the SQL query is not designed effectively, it can impact performance negatively. In […]

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* 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. 

Recent Posts from ChistaDATA

  • Eliminating Expensive JOINs in ClickHouse
  • ClickHouse Data Types
  • ClickHouse Storage Engines
  • ClickHouse Thread Architecture
  • Advanced ClickHouse SQL: Window Functions, Array, and JSON Processing

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Contents

×
  • Introduction
  • ClickHouse SQL Engineering Best Practices
    • Try to add the filter wherever possible
    • Design the JOINs in an optimized way
    • Use the same Data Types when making the JOINs
    • Use MATERIALIZED columns to store the complicated results
    •  Avoid “SELECT * ” and query the exact data
    • Be aware of case sensitive and insensitive columns
  • Conclusion
→ Index