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Search Results for: mysql table with 150 million rows

‘Indexing’ JSON documents for efficient MySQL queries over JSON data

MySQL meets NoSQL with JSON UDF I recently got back from FOSDEM, in Brussels, Belgium. While I was there I got to see a great talk by Sveta Smirnova, about her MySQL 5.7 Labs release …

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How to identify and cure MySQL replication slave lag

Here on the Percona MySQL Support team, we often see issues where a customer is complaining about replication delays – and many times the problem ends up being tied to MySQL replication slave lag. This …

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Using the new spatial functions in MySQL 5.6 for geo-enabled applications

Geo-enabled (or location enabled) applications are very common nowadays and many of them use MySQL. The common tasks for such applications are: Find all points of interests (i.e. coffee shops) around (i.e. a 10 mile …

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Tracking 5.3 Billion Mutations: Using MySQL for Genomic Big Data

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University of Montreal Tracks Genomic Data With Tokutek’s TokuDB. Faster insertion rates, improved scalability and agility support lab’s fast growing research database as it grows from 100s of GBs to 1 TB and beyond. Issue …

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The MySQL optimizer, the OS cache, and sequential versus random I/O

In my post on estimating query completion time, I wrote about how I measured the performance on a join between a few tables in a typical star schema data warehousing scenario. In short, a query …

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How to estimate query completion time in MySQL

Have you ever run a query in MySQL and wondered how long it’ll take to complete? Many people have had this experience. It’s not a big deal until the query has been running for an …

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Increasing slow query performance with the parallel query execution

MySQL and Scaling-up (using more powerful hardware) was always a hot topic. Originally MySQL did not scale well with multiple CPUs; there were times when InnoDB performed poorer with more  CPU cores than with less CPU cores. …

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Using any general purpose computer as a special purpose SIMD computer

Often times, from a computing perspective, one must run a function on a large amount of input. Often times, the same function must be run on many pieces of input, and this is a very …

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iiBench with deletes

We modified the iiBench benchmark to perform deletions as well as insertions, and compared InnoDB to Tokutek’s Fractal TreeTM storage engine, both running on MySQL 5.1. I’ll post the revised iiBench tarball soon. Here is …

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iiBench Contest Updates

We re-ran iiBench based on Mark Callaghan’s excellent work. We used standard InnoDB engine in MySQL 5.1 without the Google or Percona patches. Our hardware is similar to Mark’s except we used a 6-disk hardware …

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