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HomeClickHouse DBA Script

ClickHouse DBA Script

Python Script to Monitor Kafka Producer Memory Leak in ClickHouse
ClickHouse

Transforming Mobile Gaming with Machine Learning and AI Infrastructure on ClickHouse

Shiv Iyer

Introduction  The mobile gaming industry is experiencing tremendous growth, and the adoption of data-driven technologies like machine learning (ML) and artificial intelligence (AI) has become essential for delivering personalized gaming experiences, optimizing monetization strategies, and […]

Lazy Expressions
ClickHouse Performance

How to implement Lazy Expressions in ClickHouse for Query Performance?

Shiv Iyer

Introduction Lazy expression evaluation has several use cases in data processing and analytics. Here are some common scenarios where lazy evaluation is beneficial: Lazy expression evaluation is widely used in various data processing systems, including […]

Configuring ClickHouse Server for High Performance
ClickHouse Internals

How to Configure ClickHouse Server for High Performance

Shiv Iyer

Introduction Configuring the ClickHouse Servercan significantly impact the performance of your queries. While this may not affect the performance of ClickHouse systems with smaller datasets, it significantly impacts the performance of datasets at scale with […]

ClickHouse Replication: Understanding High Watermark Mechanism for Horizontal Scaling
ClickHouse Replication

ClickHouse Replication: Understanding High Watermark 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 […]

No Picture
ClickHouse Performance

From Snowflake to ClickHouse: How ChistaDATA Enabled the World’s Largest Ad Tech Platform’s Migration and Built an Optimal Real-Time Analytics Infrastructure

Shiv Iyer

Introduction The world of advertising technology is fast-paced, data-intensive, and requires real-time insights for efficient decision-making. In this case study, we explore how ChistaDATA, a leading provider of advanced analytics solutions, helped the world’s largest […]

Achieving Real-time Analytics with ChistaDATA's ClickHouse
ChistaDATA Real-time Analytics

Achieving Real-time Analytics with ChistaDATA’s ClickHouse

Shiv Iyer

Introduction Once upon a time, in a rapidly evolving digital landscape, businesses faced the challenge of delivering real-time analytics to gain valuable insights and stay ahead of the competition. One company, ChistaDATA, emerged as a […]

Accuracy of Cardinality Estimates in ClickHouse Execution Plans
ClickHouse Internals

ClickHouse Performance: How to assess Accuracy of Cardinality Estimates in Execution Plans

Shiv Iyer

Introduction In ClickHouse, evaluating the accuracy of cardinality estimates in a query plan can be challenging since ClickHouse relies on different heuristics and sampling techniques to estimate cardinalities. Accuracy of Cardinality Estimates However, you can […]

How to drop an Existing Histogram from a ClickHouse Column?
ClickHouse Internals

How to drop an Existing Histogram from a ClickHouse Column?

Shiv Iyer

Introduction To drop an existing histogram on a ClickHouse column and prevent the Auto Stats gathering job from creating it in the future, you can follow these steps: For example: Identify the column name that […]

ClickHouse EXPLAIN: Display & Analyze Execution Plans
ClickHouse Explain

ClickHouse EXPLAIN: Display & Analyze Execution Plans

Shiv Iyer

Introduction To display and read the execution plans for a SQL statement in ClickHouse, you can follow these steps using real-life data sets: For this example, we’ll use a simple SELECT statement to retrieve data […]

How to Identify Overlapping Date Ranges in ClickHouse
ClickHouse SQL Engineering

ClickHouse SQL Engineering: How to Identify Overlapping Date Ranges

Shiv Iyer

To identify overlapping date ranges in ClickHouse, you can use SQL queries that compare the start and end dates of each range to determine if there are any overlaps. Example to identify Overlapping Date Ranges […]

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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

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