First I will say what the comment syntax is for various vendors' dialects. Then I will get specific about some matters that specifically affect MySQL or MariaDB.

Syntax Table

Once again it’s time for another EXPLAIN FORMAT=JSON is cool! post. This post will discuss how EXPLAIN FORMAT=JSON allows the nested_loop command to make the JOIN operation hierarchy transparent.

The regular

EXPLAIN

  command lists each table that participates in a 

JOIN

  operation on a single row. This works perfectly for simple queries:

mysql> explain select * from employees join titles join salariesG
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: employees
   partitions: NULL
         type: ALL
possible_keys: NULL
          key: NULL
      key_len: …

Overview

When I got interested in Docker, I started playing idly with the idea of integrating containers and MySQL Sandbox. My first experiments were not encouraging. Using a container the same way I would use a regular server produced horrible results. I started by creating a Debian or CentOS container, installing MySQL Sandbox, and then importing an expanded tarball into the container. What happens is that tarballs of recent MySQL versions expand to roughly 2 GB of binaries. When you try to put that into a container you get a bloated file system. If you want to expand more than one tarball, you get an enormous unusable blob that is contrary to what containers should be used for. There is, of course, the possibility of using volumes, which would avoid the problem of making the container …

Thanks to everyone who participated in last week’s live webinar on how CloudStats.me moved from MySQL to clustered MariaDB for high availability with Severalnines ClusterControl. The webinar included use case discussions on cloudstats.me’s database infrastructure bundled with a live demonstration of ClusterControl to illustrate the key elements that were discussed.

We had a lot of questions in the audience and you can read through the transcript of these further below in this blog.

If you missed the session and/or would like to watch the replay in your own time, it is now available online for sign up and viewing.

Replay Details

Get access to the replay …

We have been using SSH all the time but not all people really understand the files we put inside the ~/.ssh folder on our computer. It was a myth to me when I was first using SSH, but things are pretty clear to me now and I want to share this with all of you, just in case you don't know.

known_hosts

This file is responsible for verifying the host we have connected to. If it was the first time you connect to a host, you would probably see the following message:

The authenticity of host 'example.com (10.0.0.0)' can't be established.
RSA key fingerprint is    SHA256:VqgUG8v+gxrigR1csELYv6Un6l7HxMgPgMj9wyUr7G4.
Are you sure you want to continue connecting (yes/no)?

The moment you select yes to continue connecting, the hostname along with the public key of the server will be saved as a new line in this file. Why we need this file? Just imagine that for some reason our routing has …

In this post i will show you how to import excel or csv to store in database and how to export or download excel or csv file from database table by maatwebsite maatwebsite packages throught you can easily get data also you can group by data also create more then one sheet etc so now i show you s

In my previous post, I spoke of "Normalized" and "Non-Normalized" CPU utilization values:
--
TABLE:Foreword: Windows is not "process" based OS (like Linux) but rather "thread" based so all of the numbers relating to CPU usage are approximations. I did made a "proper" CPU per Process looping and summing up Threads counter (https://msdn.microsoft.com/en-us/library/aa394279%28v=vs.85%29.aspx) based on PID but that proved too slow given I have ~1 sec to deal with everything. CPU utilization using RAW counters with 1s delay between samples proved to produce a bit more reliable result than just reading Formatted counters but, again, too slow for my 1s ticks (collect sample, wait 1s, collect sample, do the math takes longer than 1s). Thus I use PerfFormatted counters in version 0.9RC.

Win32_PerfRawData_PerfProc_Process;  …

This post explains how you can quickly start using such trending tools as Prometheus and Grafana for monitoring and graphing of MySQL and system performance.

I will try to keep this blog as short as possible, so you can quickly set things up before getting bored. I plan to cover the details in the next few posts. I am going to go through the installation process here in order to get some really useful and good-looking graphs in the end.

Overview

Prometheus is an open-source service monitoring system and time series database. In short, the quite efficient daemon scrapes metrics from remote machines using HTTP protocol and stores data in the local time-series database. Prometheus provides a simple web …

MySQL always tries to make toast of my good ideas. This is the only time is succeeds in making toast (see bug #2). |

This time I'm working on star schema optimzation (which will be my next blog post). MySQL takes about .24 seconds to project out a list of parts that match a filter, but it takes 43 (not .43, FORTY-THREE) seconds to turn it into a CSV list using GROUP_CONCAT.

  select P_PartKey from part where where P_MFGR = 'MFGR#1' or P_MFGR='MFGR#2';
  399597 rows in set (0.24 sec)

  mysql> select group_concat(P_PartKey) into @pkey from part where P_MFGR = 'MFGR …

MySQL always tries to make toast of my good ideas. This is the only time is succeeds in making toast (see bug #2). |

This time I'm working on star schema optimzation (which will be my next blog post). MySQL takes about .24 seconds to project out a list of parts that match a filter, but it takes 43 (not .43, FORTY-THREE) seconds to turn it into a CSV list using GROUP_CONCAT.

  select P_PartKey from part where where P_MFGR = 'MFGR#1' or P_MFGR='MFGR#2';
  399597 rows in set (0.24 sec)

  mysql> select group_concat(P_PartKey) into @pkey from part where P_MFGR = 'MFGR#1' or   P_MFGR='MFGR#2';
  Query OK, 1 row affected (43.25 sec)

So I decided to just stick the part table into FastBit instead (using my FastBit_UDF tools):
fb_create('/var/lib/fastbit/part', …