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Displaying posts with tag: lock (reset)

Pitfalls of monitoring MySQL table activity with stored routines
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A friend of mine needed a quick method to monitor a table that was frequently updated. There were several procedures writing to the table several times per second. He needed a quick way of determining how many updates per second the table was getting.
The table has only one row, which includes a counter that is increased at each operation. Therefore, the simple plan was:
  1. Let's get the counter from the table;


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Careful how you monitor MySQL
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I was recently struck by a problem which is unusual. In order to keep an eye on the database server I use nagios, cacti, merlin and some local scripts to monitor the database instance and ensure that it is working properly.  That normally works fine.  The different monitor processes do various things, one of which is to monitor the replication status of a slave, and warn me if the replication is not working or if it’s behind. This is done with the command SHOW SLAVE …

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Scaling Memcached: 500,000+ Operations/Second with a Single-Socket UltraSPARC T2
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A software-based distributed caching system such as memcached is an important piece of today's largest Internet sites that support millions of concurrent users and deliver user-friendly response times. The distributed nature of memcached design transforms 1000s of servers into one large caching pool with gigabytes of memory per node. This blog entry explores single-instance memcached scalability for a few usage patterns.

Table below shows out-of-the-box (no custom OS rewrites or networking tuning required) performance with 10G networking hardware and one single-socket UltraSPARC T2-based server …

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Scaling Memcached: 500,000+ Operations/Second with a Single-Socket UltraSPARC T2
Employee +0 Vote Up -0Vote Down

A software-based distributed caching system such as memcached is an important piece of today's largest Internet sites that support millions of concurrent users and deliver user-friendly response times. The distributed nature of memcached design transforms 1000s of servers into one large caching pool with gigabytes of memory per node. This blog entry explores single-instance memcached scalability for a few usage patterns.

Table below shows out-of-the-box (no custom OS rewrites or networking tuning required) performance with 10G networking hardware and one single-socket UltraSPARC T2-based server …

  [Read more...]
[MySQL] Deleting/Updating Rows Common To 2 Tables – Speed And Slave Lag Considerations
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Introduction

A question I recently saw on Stack Overflow titled Faster way to delete matching [database] rows? prompted me to organize my thoughts and observations on the subject and quickly jot them down here.

Here is the brief description of the task: say, you have 2 MySQL tables a and b. The tables contain the same type of data, for example log entries. Now you want to delete all or a subset of the entries in table a that exist in table b.

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