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

 | October 4, 2017 |  Posted In: MySQL, Yandex ClickHouse

ClickHouse MySQL

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 […]

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Big Dataset: All Reddit Comments – Analyzing with ClickHouse

 | October 2, 2017 |  Posted In: Database Monitoring, MongoDB, MySQL, MySQL 8.0, PostgreSQL, Yandex ClickHouse

ClickHouse

In 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 […]

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Massive Parallel Log Processing with ClickHouse

 | September 13, 2017 |  Posted In: Database Monitoring, Insight for DBAs, MySQL, Yandex ClickHouse

ClickHouse

In this blog, I’ll look at how to use ClickHouse for parallel log processing. Percona is seen primarily for our expertise in MySQL and MongoDB (at this time), but neither is quite suitable to perform heavy analytical workloads. There is a need to analyze data sets, and a very popular task is crunching log files. Below […]

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Nested Data Structures in ClickHouse

 | August 30, 2017 |  Posted In: Column Store Database, MySQL, Percona Monitoring and Management

Nested Data Structures

In this blog post, we’ll look at nested data structures in ClickHouse and how this can be used with PMM to look at queries. Nested structures are not common in Relational Database Management Systems. Usually, it’s just flat tables. Sometimes it would be convenient to store unstructured information in structured databases. We are working to adapt ClickHouse […]

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ClickHouse in a General Analytical Workload (Based on a Star Schema Benchmark)

 | June 22, 2017 |  Posted In: Benchmarks, MySQL, Performance Schema

ClickHouse

In this blog post, we’ll look at how ClickHouse performs in a general analytical workload using the star schema benchmark test. We have mentioned ClickHouse in some recent posts (ClickHouse: New Open Source Columnar Database, Column Store Database Benchmarks: MariaDB ColumnStore vs. Clickhouse vs. Apache Spark), where it showed excellent results. ClickHouse by itself seems […]

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Better Than Linear Scaling

 | April 22, 2017 |  Posted In: Hardware and Storage, High-availability, Insight for DBAs, Insight for Developers, MySQL

Scalability

In this blog, we’ll look at how to achieve better-than-linear scaling. Scalability is the capability of a system, network or process to handle a growing amount of work, or its potential to be enlarged to accommodate that growth. For example, we consider a system scalable if it is capable of increasing its total output under […]

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Performance improvements in Percona XtraDB Cluster 5.7.17-29.20

and  | April 19, 2017 |  Posted In: MySQL, Percona XtraDB Cluster

Percona XtraDB Cluster

In our latest release of Percona XtraDB Cluster, we’ve introduced major performance improvements to the MySQLwrite-set replication layer. In this post, we want to show what these improvements look like. For the test, we used the sysbench OLTP_RW, UPDATE_KEY and UPDATE_NOKEY workloads with 100 tables, 4mln rows each, which gives about 100GB of datasize. In all […]

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Run Percona Server on Bash on Windows on Ubuntu

 | April 14, 2017 |  Posted In: MySQL

Bash on Windows on Ubuntu

In this post, I’ll explain how to run Percona Server for MySQL and Percona Server for MongoDB on Bash on Windows on Ubuntu. We are getting a good number of questions about whether Percona Server (for both MySQL and MongoDB) is available for Windows for evaluation or development purposes. I want to provide a guide to how to […]

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