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Blog

ClickHouse Horizontal Scaling: Optimal Read-Write Split Configuration and Execution
ClickHouse Horizontal Scaling

ClickHouse Horizontal Scaling: Optimal Read-Write Split Configuration and Execution

Shiv Iyer
Scaling ClickHouse horizontally while optimizing the split between read and write operations is a multi-step process that involves setting up a cluster with sharded and replicated tables.

[…]

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

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

Shiv Iyer
Implementing a case-sensitive search in ClickHouse, a column-oriented database management system, can be achieved by using the UPPER or LOWER functions. These functions convert text data to either uppercase or lowercase, respectively, allowing for a consistent comparison.

[…]

ClickHouse Architecture and Query Performance Techniques 
ClickHouse Performance

Overview of ClickHouse Architecture and Query Performance Techniques 

Shiv Iyer
Introduction Understanding the internals of ClickHouse reveals why it’s renowned for its exceptional performance, especially in the realm of online analytical processing (OLAP). ClickHouse is a column-oriented database management system (DBMS) that employs a suite […]
ClickHouse Performance: Indexing and SQL Engineering for Cost-efficiency
ClickHouse Index

ClickHouse Performance: Indexing and SQL Engineering for Cost-Efficiency

Shiv Iyer
The landscape of cloud-based database application development has been rapidly evolving, and with it, the importance of optimal SQL engineering and efficient indexing has become more pronounced than ever.

[…]

ClickHouse Server Configuration for High-Volume Data Ingestion
ClickHouse Ingestion

ClickHouse Server Configuration for High-Volume Data Ingestion

Shiv Iyer
Optimizing ClickHouse for high-velocity and high-volume data loading involves several server configuration and tuning techniques.

[…]

Tuning index_granularity for ClickHouse Performance
ClickHouse Index

Tuning index_granularity for ClickHouse Performance

Shiv Iyer
Understanding index granularity is crucial for troubleshooting performance issues in ClickHouse, especially when it comes to optimizing how ClickHouse uses indexes for query execution.

[…]

Troubleshooting Underutilized ClickHouse Index
ClickHouse Index

ClickHouse Troubleshooting: Why is ClickHouse Index Underutilized?

Shiv Iyer
If a ClickHouse index is not being utilized for existing data, leading to full table scans even after creating the index, several factors could be at play.

[…]

ClickHouse MergeTree: Overview of ClickHouse Storage Engines
ClickHouse MergeTree

ClickHouse MergeTree: Overview of ClickHouse Storage Engines

Shiv Iyer
Introduction ClickHouse supports several storage engines, each optimized for different use cases. Understanding the characteristics of each engine can help you choose the right one for your specific needs, thereby improving performance. ClickHouse MergeTree Engine […]
ClickHouse Configuration: Tuning max_insert_threads and max_bytes_before_external_group_by
ClickHouse Performance

ClickHouse Configuration: Tuning max_insert_threads and max_bytes_before_external_group_by

Shiv Iyer
Introduction Configuring max_insert_threads and max_bytes_before_external_group_by in ClickHouse requires an understanding of your server’s hardware capabilities and your specific workload requirements. These settings play a crucial role in how ClickHouse manages memory and parallelism, especially during insert operations and GROUP […]
Impact of ClickHouse External Cache on Internal Cache Efficiency
ClickHouse Cache

ClickHouse Troubleshooting: Impact of External Cache on Internal Cache Efficiency

Shiv Iyer
By understanding ClickHouse’s caching behaviors and leveraging its internal caching mechanisms effectively, you can optimize performance and avoid potential conflicts with external caching solutions.

[…]

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In the spirit of freedom, independence and innovation. ChistaDATA Corporation is not affiliated with ClickHouse Corporation 

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★READ THIS WARNING★

* 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

  • When Not to Use ClickHouse
  • MergeTree Settings: Tuning for Insert Performance vs Query Speed
  • Monitoring Merge Queues in ClickHouse
  • Using system.query_thread_log for Low-Level ClickHouse Performance Insights
  • Setting Up ClickHouse Alerts: Detecting Performance Degradation Before It Impacts Users

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