Showing entries 5851 to 5860 of 22457
« 10 Newer Entries | 10 Older Entries »
Displaying posts with tag: MySQL (reset)
Ruby-MySQL Columns

Last week I posted how to configure and test Ruby and MySQL. Somebody asked me how to handle a dynamic list of columns. So, here’s a quick little program to show you how to read the dynamic list of column:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
require 'rubygems'
require 'mysql'
 
# Begin block.
begin
  # Create a new connection resource.
  db = Mysql.new('localhost','student','student','studentdb')
 
  # Create a result set.
  rs = db.query('SELECT item_title, item_rating FROM item')
  # Read through the result set hash.
  rs.each do | row |
    out = ""
    i = 0
    while i < db.field_count
      # Check if not last column.
      if i < db.field_count - 1
        out += "#{row[i]}, "
      else
        out += "#{row[i]}" …
[Read more]
a wild Supposition: can MySQL be Kafka ?

This is an idea which i presented at percona live 2015.

Is MySQL an avatar of Apache Kafka ?

Can it be Kafka ?

Yes, it can.

This talk takes a shot at modeling MySQL as Kafka.

PS: it’s unconventional, hence a WILD supposition

slides @

http://www.slideshare.net/jaihind213/can-mysql-bekafka

 or

http://www.percona.com/live/mysql-conference-2015/sessions/wild-supposition-can-mysql-be-kafka

Java-MySQL Program

It turns out that configuring Perl wasn’t the last step for my student instance. It appears that I neglected to configure my student instance to support Java connectivity to MySQL. This post reviews the configuration of Java to run programs against MySQL. It also covers the new syntax on how you register a DriverManager, and avoid Java compilation errors with the older syntax.

In prior posts, I’ve shown how to use Perl , PHP, Python, and Ruby languages to query a MySQL database on Linux.

You need to install the Open JDK libraries …

[Read more]
Introducing VMware Continuent 4.0 – MySQL Clustering and Real-time Replication to Data Warehouses

It’s with great pleasure we announce the general availability of VMware Continuent 4.0 – a new suite of solutions for clustering and replication of MySQL to data warehouses.

VMware Continuent enables enterprises running business-critical database applications to achieve commercial-grade high availability (HA), globally redundant disaster recovery (DR) and performance scaling. The new suite

Performance Schema: Great Power Comes Without Great Cost

Performance Schema is used extensively both internally and within the MySQL community, and I expect even more usage with the new SYS Schema and the Performance Schema enhancements in 5.7. Performance Schema is the single best tool available for monitoring MySQL Server internals and execution details at a lower level. Having said that, we are also no stranger to the fact that any monitoring tool comes with an additional cost to performance. Hence It has always been an important question to find out just how much it costs us when Performance …

[Read more]
Profiling MySQL queries from Performance Schema

When optimizing queries and investigating performance issues, MySQL comes with built in support for profiling queries aka

SET profiling = 1;

 . This is already awesome and simple to use, but why the PERFORMANCE_SCHEMA alternative?

Because profiling will be removed soon (already deprecated on MySQL 5.6 ad 5.7); the built-in profiling capability can only be enabled per session. This means that you cannot capture profiling information for queries running from other connections. If you are using Percona Server, the profiling option for log_slow_verbosity is a nice alternative, unfortunately, not everyone is using Percona Server.

Now, for a quick demo: I execute a …

[Read more]
MySQL Cluster 7.4 New Features Webinar Replay

I recently hosted a webinar introducing MySQL Cluster and then looking into what’s new in the latest version (MySQL Cluster 7.4) in some more detail. The replay of the MySQL Cluster 7.4 webinar is now available here. Alternatively if just want to skim through the charts then scroll down.

Abstract

MySQL Cluster powers the subscriber databases of major communication services providers as well as next generation web, cloud, social and mobile applications. It is designed to deliver:

  • Real-time, in-memory performance for both OLTP and analytics workloads
  • Linear scale-out for both reads and writes
  • 99.999% High Availability
  • Transparent, cross-shard transactions …
[Read more]
How to Easily Identify Tables With Temporal Types in Old Format!

The MySQL 5.6.4 release introduced support for fractional values within the temporal datatypes: TIME, DATETIME, and TIMESTAMP. Hence the storage requirement and encoding differs for them in comparison to older (5.5 and earlier) temporal datatypes. The storage format for the temporal datatypes in the old format are not space efficient either, and recreating tables having both the new and old formats can be a long and tedious process. For these reasons, we wanted to make it easier for users to identify precisely which tables, if any, need to be upgraded.

In my previous blog post, where we looked at the process of upgrading old MySQL-5.5 format temporals to the MySQL-5.6 format, there was the …

[Read more]
MDX: retrieving the entire hierarchy path with Ancestors()

A couple of days ago I wrote about one of my forays into MDX land (Retrieving denormalized tabular results with MDX). The topic of that post was how to write MDX so as to retrieve the kind of flat, tabular results one gets from SQL queries. An essential point of that solution was the MDX Ancestor() function.

I stumbled upon the topic of my previous blogpost while I was researching something else entirely. Creating flat tables and looking up individual ancestors is actually a rather specific application of a much more general solution I found initially. Pivot tables and the "Show Parents" functionalityGUI OLAP tools typically offer a pivot table query interface. They let you drag and drop measures and dimension items, like …

[Read more]
Checking table definition consistency with mysqldiff

Data inconsistencies in replication environments are a pretty common. There are lots of posts that explain how to fix those using pt-table-checksum and pt-table-sync. Usually we only care about the data but from time to time we receive this question in support:

How can I check the table definition consistency between servers?

Replication also allow us to have different table definition between master and slaves. For example, there are some cases that you need some indexes on slaves for querying purposes but are not really needed on the master. There are some other cases where those differences are just a mistake that needs to be fixed.

[Read more]
Showing entries 5851 to 5860 of 22457
« 10 Newer Entries | 10 Older Entries »