Altinity
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Updates and Deletes in ClickHouse

Oct 16, 2018

It’s been two years already ago when ClickHouse development team published an excellent blog post “How to update data in ClickHouse”. In that old times ClickHouse supported only monthly partitions, and for mutable data structures, they suggested to use pretty exotic data structures. We were all waiting for a more convenient approach, and finally, it is there: ClickHouse now supports updates in deletes! In this article, we will see how it works.

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Using ODBC with Clickhouse

20 Sept 2018
This article shows different ways of how you can use ClickHouse in connection with other data sources to make queries use all of ClickHouse optimization features in order to make results come faster. Also, it is good practice when you have some infrastructure elements already linked to some other data sources or tools that supports ODBC.

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Clickhouse-copier in practice

Aug 22, 2018
Clickhouse-copier is a tool designed to copy data from one ClickHouse environment to another. The tool is a part of standard ClickHouse server distribution. It can work in a fully parallel mode and distribute the data in the most efficient way. In this article, we review a few typical examples when clickhouse-copier can be used.

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Case Study. AfterWords - Intelligent Customer Engagement

Aug 1, 2018
AfterWords is an intelligent customer engagement and survey system that delivers users transactional history and customer feedback to create actionable data to improve operations, sales and profitability.

In this article, our guest author Oleg Khozyainov shares his experience of using ClickHouse as part of work done for www.surveyafterwords.com

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ClickHouse and ProxySQL queries rewrite

July 16, 2018
ProxySQL is a popular open source, high performance and protocol-aware proxy server for MySQL and its forks. Since September 2017 ProxySQL supports ClickHouse as a backend, so clients can connect to ClickHouse via MySQL protocol. In practice, this helps MySQL-aware applications to start using ClickHouse as without changes in the client library.

To avoid some limitations to this approach, ProxySQL creator René Cannaò added additional functionality for query rewrite. With his permission, we cross-post his article describing new functionality in our blog.

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Realtime replication from MySQL to ClickHouse in practice

July 2, 2018
Vladislav Klimenko from Altinity and Valery Panov from Ivinco presented a talk at HighLoad Siberia 2018 conference recently. They described the real problem that Ivinco faced and how it has been solved with migration of analytics from MySQL into ClickHouse using MySQL to ClickHouse replication. A few months ago we introduced clickhouse-mysql tool in our blog, and Ivinco was the first company we know that tried it and used it in production.

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ClickHouse Releases: Upgrade or not Upgrade

June 4, 2018
ClickHouse team has released 1.1.54385 version recently. This is yet another bugfixing update in a row of small updates that followed 1.1.54378 release from mid-April. Unfortunately, ClickHouse test coverage is not perfect, and sometimes new features are accompanied by disappointing regressions. ClickHouse team certainly addresses problems in hotfix releases, but ClickHouse streamlined release version numbering makes it not easy to distinguish hotfixes from the feature releases. So how to decide is it safe to upgrade or not?

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Circular Replication Cluster Topology in ClickHouse

May 10, 2018
In some cases, there is a need to configure a distributed cluster with replication but there are not enough servers in order to place every replica on a separate node. It is better to have multiple replicas at the same nodes configured in a special way, that allows to continue executing queries even in the case of a node failure. Such replication configuration can be found in different distributed systems, it is often referred to as ‘circular’ or ‘ring’ replication. In this article, we will discuss how to set up circular replication in ClickHouse.

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ClickHouse release 1.1.54380

Apr 25, 2018

ClickHouse team and community contributors actively develop ClickHouse adding many new features, improving performance and flexibility. Unfortunately, sometimes it affects stability of the product. We were very upset by some unexpected regressions in recent ClickHouse releases. After initial testing of latest 1.1.54380 version we think it may be a good candidate for the new stable release. Previous releases free from severe issues were aged 1.1.54292 and 1.1.54327.

ClickHouse 1.1.54380 is available in Yandex and Altinity repositories. So what's new and important in 1.1.54380 and previous release 1.1.54378.

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ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018

LONDON, April 23, 2018 /PRNewswire/ -- Altinity, a leading service provider for ClickHouse, today announced explosive 10x quarter-over-quarter revenue growth in Q1 2018 for its ClickHouse services. The spike in demand for ClickHouse Support mirrors the trend of companies increasingly relying on ClickHouse as a solution for their data analytics and data warehousing needs.

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ClickHouse Monitoring with Graphite

Apr 20, 2018
Monitoring is an important part of operating any software in production. The proper monitoring solution needs to store metrics somewhere as well as provide visualization capabilities. ClickHouse does not have such a tool packaged, but there are several 3rd-party monitoring solutions that can be used. In this article, we will describe how to configure Graphite for monitoring ClickHouse metrics.

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Amadeus Technologies Launches Investment and Insights Tool Based on Machine Learning and Strategy Algorithms

TORONTO, March 27, 2018 /PRNewswire/ -- Amadeus Technologies today announced the availability of Amadeus Equity Tools, an analytical approach to enable equity portfolio managers to quickly and easily derive actionable insights for investments. Built from the ground up on ClickHouse, a leading open-source columnar SQL database used for analytics and reporting, and Kodiak Data's memory-speed cloud infrastructure, this application uses cutting-edge technology and machine learning (ML) techniques to manage big data.

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