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MySQL 8.0 Window Functions: A Quick Taste

 | December 5, 2017 |  Posted In: Insight for DBAs, MySQL, MySQL 8.0

Window Functions

In this post, we’ll briefly look at window functions in MySQL 8.0. One of the major features coming to MySQL 8.0 is the support of Window functions. The detailed documentation is already available here Window functions. I wanted to take a quick look at the cases where window functions help. Probably one the most frequent limitations in […]

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Webinar Wednesday, December 6, 2017: Gain a MongoDB Advantage with the Percona Memory Engine

and  | December 5, 2017 |  Posted In: MongoDB, Percona Memory Engine, Technical Webinars

Percona Memory Engine

Join Percona’s, CTO, Vadim Tkachenko as he presents Gain a MongoDB Advantage with the Percona Memory Engine on Wednesday, December 6, 2017, at 11:00 am PST / 2:00 pm EST (UTC-8). Experience: Entry Level to Intermediate Tags: Developer, DBAs, Operations Looking for the performance of Redis or Memcache, the expressiveness of the MongoDB query language […]

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Best Practices for Percona XtraDB Cluster on AWS

and  | November 28, 2017 |  Posted In: Aurora RDS, Benchmarks, Cloud and MySQL, MySQL, Percona XtraDB Cluster

Percona XtraDB Cluster on AWS 2 small

In this blog post I’ll look at the performance of Percona XtraDB Cluster on AWS using different service instances, and recommend some best practices for maximizing performance. You can use Percona XtraDB Cluster in AWS environments. We often get questions about how best to deploy it, and how to optimize both performance and spend when […]

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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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