TokuDB has a big advantage over B-trees when trickle loading data into existing tables. However, it is possible to preprocess the data when bulk loading into empty tables or when new indexes are created. TokuDB release 4 now uses a parallel algorithm to speed up these types of bulk insertions. How does the parallel loader performance compare with the serial loader? We use the Air Traffic Control (ATC) data and queries described in a Percona blog and also used in an experiment with TokuDB 2.1.0 to gain some insight.

Our ATC data is about 122M rows in size, is stored in a 40GiB CSV file, and can be found in our Amazon S3 public bucket. See the end of this blog for details. We …

In a test lab, we ran into a situation where the connection between our Cisco Access Registrar (AAA) server and MySQL server was timing out. This forced the server to reconnect and resulted in the following errors: name/radius/1 Error Server 0 ODBC client (DataSource 'my_odbc', Connection 8): SQLExecute failed: SQLState:08S01 NativeError:2006 ErrorText:[MySQL][ODBC 3.51 Driver][mysqld-5.0.21-log] MySQL […]

ウェブアプリケーションやライブラリの結合テストを行う段階になると、実際に Apache を起動してテストを実行したくなります。しかし、そのためにいちいち Apache の設定ファイルを修正して httpd を再起動して、とやっていては面倒です。特に複数のプログラムを同時に開発していると、あっちをテストしたらこっちが動かなくなって… なんてなったりして嫌気がさしてきます。

そこで、テストを実行する際に、環境毎に異なる以下のような問題を吸収しつつ、テスト専用に設定された Apache を自動的に起動終了してくれる Perl モジュール：Test::Httpd::Apache2 を書きました。

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Open Query now has its own @openquery account on Twitter and Identi.ca so you can conveniently follow us there for announcements and tips – and also ask us questions! All OQ engineers can post/reply. The OQ site front page also tracks this feed.

Previously I was posting from my personal @arjenlentz account with #openquery hashtag, but that’s obviously less practical.

After our hugely successful summer class in Silicon Valley, we have set up a survey to help us determine the location of our Q4 DRBD Total course in the United States. So let us know where you would like to see the next incarnation of the industry’s premier Linux High Availability training!

Our survey just takes a minute to complete. We appreciate your input!

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Few weeks ago I was invited to a dinner in Manchester with a group of CIOs. It was the occasion to talk about Open Source and the use of Open Source Software in the Enterprise.

The conversation went on for quite a while on what is OSS, why OSS is relevant for an Enterprise and how a relatively large organisation can get benefit from OSS. To me, it was time for a sanity check.

When you work in the OSS world, as many of us do, you tend to forget the fears, the doubts and all in all the deep differences between companies who have embraced OSS and others who have not. I am not referring to Linux as a server platform here, since Linux distributions are nowadays recognised as a great server environment and people tend to forget it is OSS. I refer to OSS in general and to the way OSS is used by developers, IT professionals and end users.

Back to my original subject, i.e. the dinner with the CIOs, I will skip the details of a …

With OpenSQL Camp and FrOSCon being over for almost a week now, it's time to come up with a short summary. I traveled home on Monday morning and then took Tuesday off, so I had some catching up to do...

As for the past years, FrOSCon rocked again! According to the closing keynote, they had around 1.500 (unique) visitors and I had a great time there. I really enjoyed meeting all the old and new faces of the various Open Source communities. The lineup of speakers was excellent, Jon "maddog" Hall's keynote about "Free and Open Source Software in the Developing World" was quite insightful and inspiring.

Most of the time I was busy with speaking at and …

MySQL Connector/Python is (or should be) compliant with the Python DB-API 2.0 specification. This means that you can use DBUtils' PooledDB module to implement database connection pooling.

Here below you'll find an example which will output the connection ID of each connection requested through the pooling mechanism.

from DBUtils.PooledDB import PooledDB
import mysql.connector

def main():
    pool_size = 3
    pool = PooledDB(mysql.connector, pool_size,
        database='test', user='root', host='127.0.0.1')
    
    cnx = [None,] * pool_size
    for i in xrange(0,pool_size):
        cnx[i] = pool.connection()
        cur = cnx[i].cursor()
        cur.execute("SELECT CONNECTION_ID()")
        print …

MySQL Connector/Python is (or should be) compliant with the Python DB-API 2.0 specification. This means that you can use DBUtils’ PooledDB module to implement database connection pooling.

Here below you’ll find an example which will output the connection ID of each connection requested through the pooling mechanism.

from DBUtils.PooledDB import PooledDB
import mysql.connector

def main():
    pool_size = 3
    pool = PooledDB(mysql.connector, pool_size,
        database='test', user='root', host='127.0.0.1')

    cnx = [None,] * pool_size
    for i in xrange(0,pool_size):
        cnx[i] = pool.connection()
        cur = cnx[i].cursor()
        cur.execute("SELECT CONNECTION_ID()")
        print …