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10 Newer Entries Showing entries 91 to 100 of 941 10 Older Entries

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Interview with John Partridge, President & CEO of Tokutek, Inc.
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“As the database gets used, shards can grow at an uneven rate and one shard might carry a majority of the load. MongoDB corrects this by balancing shards, but because of MongoDB’s lack of concurrency this operation can stall the database unacceptably.”–John Partridge.

I have interviewed John Partridge, President & CEO of Tokutek, Inc.

RVZ

Q1. Tokutek recently announced to have eliminated performance issues of MongoDB sharding. What was the problem?

John …

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Slides from PLMCE 2014 breakout session
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As many of you already know, PLMCE is an annual MySQL
community conference and Expo organized by Percona in the month of April
(usually). It is a great conference, not only to meet new and eminent people in
MySQL and related database fields, but also to attend interesting talks, and
also to give some.

This year I spoke about synchronous replication at a higher level. The talk was
titled …





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MySQL file limit, table cache and max_connections
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MySQL variables open_files_limit, table_open_cache and max_connections are
inter-related, and this is for obvious reasons: all deal with file descriptors
one way or another.

If one of the value is provided but others are left out, mysqld calculates
others using a formula and in some cases, emits a warning if not possible.

The whole calculation behind obtaining the final file descriptor limit is a bit
byzantine and is as follows (for Linux):





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Use MySQL to store NoSQL and SQL data in the same database using memcached and InnoDB
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MySQL is a great relational database, but at some point someone (management) in your company is probably going to say that they need to use NoSQL to store their data. After all, NoSQL is one of the latest buzzwords, so it must be good (correct?). Basically, NoSQL allows you to store data without all of the characteristics of a relational database. A very simple explanation is that you are storing all of a data set with just one primary key, and the primary key is how you also retrieve the data. While NoSQL may be good in some cases, it is hard to beat …

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Using mysqldump and the MySQL binary log – a quick guide on how to backup and restore MySQL databases
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Be sure to check out my other posts on mysqldump:
Scripting Backups of MySQL with Perl via mysqldump
Splitting a MySQL Dump File Into Smaller Files Via Perl
– …


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MySQL Partitioning – A Quick Look at Partitioning – Separate Your Data for Faster Searches
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In MySQL, partitioning is a way to separate the data in one table into smaller “sub-tables” for better query performance and data management.

For example, let’s say that you have a database containing numerous accounting transactions. You could just store all of these transactions in one table, but you only need to keep seven year’s worth of data for tax purposes. Instead of placing all of the data in one table, and then deleting the old data from that table, you could split the table into partitions with each partition representing …

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Congratulations, Ubuntu!
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Today, we congratulate our friends at Ubuntu on a great new release, Ubuntu 14.04 LTS. As you can see in Mark Shuttleworth’s posting on Google+ from a few weeks back, MySQL has been cooperating closely with the Debian and Ubuntu communities to make sure that MySQL works very well on these platforms, and Ubuntu 14.04 […]

MySQL Enterprise Backup 3.10: Teasing compression.
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Ok, so I wanted to look into the new compression options of MEB 3.10.

And I would like to share my tests with you. Remember, they’re just this, tests, so please feel free to copy n paste and obtain your own results and conclusions, and should I say it, baselines, in order to compare future behaviour, on your own system.

An Oracle Linux 6.3 virtual machine with 3Gb RAM, 2 virtual threads, on a 1x quad core, windows laptop. Not pretty, but hey.

So, these tests are solely about backup. I’ll do restore when I get some *more* time.

 

First up, lets compare like with like, i.e. MEB …

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MySQL Enterprise Backup 3.10: Teasing compression.
Employee +0 Vote Up -0Vote Down

Ok, so I wanted to look into the new compression options of MEB 3.10.

And I would like to share my tests with you. Remember, they’re just this, tests, so please feel free to copy n paste and obtain your own results and conclusions, and should I say it, baselines, in order to compare future behaviour, on your own system.

An Oracle Linux 6.3 virtual machine with 3Gb RAM, 2 virtual threads, on a 1x quad core, windows laptop. Not pretty, but hey.

So, these tests are solely about backup. I’ll do restore when I get some *more* time.

 

First up, lets compare like with like, i.e. MEB …

  [Read more...]
A new dimension to MySQL query optimizations – part 2
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This is “A new dimension to MySQL query optimizations – part 2″. If you didn’t read part 1 already I suggest you skim through it before reading on.

To summarize, the problem at hand is this: Given a query with a join between two or more tables, the MySQL optimizer’s mission is to find the best combination of join order and access method so that the response time becomes as low as possible. The optimizer does this by calculating the cost of each combination and then picks the cheapest one.

Consider the following …

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10 Newer Entries Showing entries 91 to 100 of 941 10 Older Entries

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