ClickHouse

ClickHouse Performance Uint32 vs Uint64 vs Float32 vs Float64

Q1 least compressionWhile implementing ClickHouse for query executions statistics storage in Percona Monitoring and Management (PMM),  we were faced with a question of choosing the data type for metrics we store. It came down to this question: what is the difference in performance and space usage between Uint32, Uint64, Float32, and Float64 column types? To test this, […]

Should You Use ClickHouse as a Main Operational Database?

ClickHouse as a main operational databaseFirst of all, this post is not a recommendation but more like a “what if” story. What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides […]

ClickHouse: Two Years!

historical trend of ClickHouse popularity

Following my post from a year ago https://www.percona.com/blog/2017/07/06/clickhouse-one-year/, I wanted to review what happened in ClickHouse during this year. There is indeed some interesting news to share. 1. ClickHouse in DB-Engines Ranking. It did not quite get into the top 100, but the gain from position 174 to 106 is still impressive. Its DB-Engines Ranking score […]

The post ClickHouse: Two Years! appeared first on Percona Database Performance Blog.

Analyze Your Raw MySQL Query Logs with ClickHouse

In this blog post, I’ll look at how you can analyze raw MySQL query logs with ClickHouse. For typical query performance analyses, we have an excellent tool in Percona Monitoring and Management. You may want to go deeper, though. You might be longing for the ability to query raw MySQL “slow” query logs with SQL. […]

Archiving MySQL Tables in ClickHouse

Archiving MySQL Tables in ClickHouseIn this blog post, I will talk about archiving MySQL tables in ClickHouse for storage and analytics. Why Archive? Hard drives are cheap nowadays, but storing lots of data in MySQL is not practical and can cause all sorts of performance bottlenecks. To name just a few issues: The larger the table and index, the slower […]

Updating/Deleting Rows From Clickhouse (Part 2)

ClickHouseIn this post, we’ll look at updating and deleting rows with ClickHouse. It’s the second of two parts. In the first part of this post, we described the high-level overview of implementing incremental refresh on a ClickHouse table as an alternative support for UPDATE/DELETE. In this part, we will show you the actual steps and […]

ClickHouse MySQL Silicon Valley Meetup Wednesday, October 25 at Uber Engineering with Percona’s CTO Vadim Tkachenko

I will be presenting at the ClickHouse MySQL Silicon Valley Meetup on Wednesday, October 25, 2017, at 6:30 PM.
ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for the serious workloads. We will talk about ClickHouse in general, some internals and why it is so fast. ClickHouse works in conjunction with MySQL – traditionally weak for analytical workloads – and this presentation demonstrates how to make the two systems work together.
My talk will cover how we can improve the experience with real-time analytics using ClickHouse, and how we can integrate ClickHouse with MySQL.
I want to thank our friends at Uber Engineering who agreed to host this event.
Please join us here: https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup/events/243887397/.

Vadim Tkachenko, Percona CTO
Vadim Tkachenko co-founded Percona in 2006 and serves as its Chief Technology Officer. Vadim leads Percona Labs, which focuses on technology research and performance evaluations of Percona’s and third-party products. Percona Labs designs no-gimmick tests of hardware, filesystems, storage engines, and databases that surpass the standard performance and functionality scenario benchmarks.
Vadim’s expertise in LAMP performance and multi-threaded programming help optimize MySQL and InnoDB internals to take full advantage of modern hardware. Oracle Corporation and its predecessors have incorporated Vadim’s source code patches into the mainstream MySQL and InnoDB products.
He also co-authored the book High Performance MySQL: Optimization, Backups, and Replication 3rd Edition. Previously, he founded a web development company in his native Ukraine and spent two years in the High Performance Group within the official MySQL support team.

Big Dataset: All Reddit Comments – Analyzing with ClickHouse

ClickHouseIn this blog, I’ll use ClickHouse and Tabix to look at a new very large dataset for research. It is hard to come across interesting datasets, especially a big one (and by big I mean one billion rows or more). Before, I’ve used on-time airline performance available from BUREAU OF TRANSPORTATION STATISTICS. Another recent example is NYC […]

Percona Live Europe Session Interview: Building Multi-Petabyte Data Warehouses with ClickHouse

Percona Live EuropePercona Live Europe provides open source professionals with an opportunity to discuss how various technologies get used in order to solve database problems. Alexander Zaitsev of LifeStreet/Altinity gave one such session: Building Multi-Petabyte Data Warehouses with ClickHouse. LifeStreet needed to scale their real-time ad analytics platform to multiple petabytes. They evaluated and used a number of […]

Percona Live Europe Session Interviews with Yandex ClickHouse: A DBMS for Interactive Analytics at Scale and Quick Tour of ClickHouse Internals

Percona Live EuropePercona Live Europe 2017 keeps providing excellent sessions with useful information on great open source database technologies. Yandex’s Clickhouse was one of these technologies that was well covered at the conference this year. There were several talks that featured Clickhouse this year. I was able to attend two of them. The first was a discussion of […]

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