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Displaying posts with tag: Oracle (reset)
Building MySQL with boost on windows

As you've probably heard already MySQL needs boost to build.

However, in the good ol' MySQL tradition, the above link does give you only the instructions on how to build it on linux. And completely ignores the fact that there're other OSes too that people develop on.

To fill in that gap, I've compiled a small step by step guide on how to do it on windows. Note that I always, as a principle, build out-of-source.

The typical setup I have is :

bzr clone lp:~mysql/mysql-server/5.7 mysql-trunk
cd mysql-trunk
mkdir bld
cd bld
cmake -DWITH_DEBUG=1 -DMYSQL_PROJECT_NAME=mysql-trunk ..
devenv /build debug mysql-trunk.sln

This has been tested to work on a 32 bit compile using VS2013 on a Windows7 64 bit build. Note that you'll need …

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Webinar-on-Demand: Set Up & Operate Open Source Oracle Replication

Oracle's expensive and complex replication makes it difficult to build cost-effective applications that move data in real-time to data warehouses (Oracle, Hadoop, Vertica) and popular databases like MySQL. Fortunately, Continuent Tungsten offers a solution.In this virtual course, you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other

Continuent at Hadoop Summit

I’m pleased to say that Continuent will be at the Hadoop Summit in San Jose next week (3-5 June). Sadly I will not be attending as I’m taking an exam next week, but my colleagues Robert Hodges, Eero Teerikorpi and Petri Versunen will be there to answer any questions you have about Continuent products, and, of course, Hadoop replication support built into Tungsten Replicator 3.0.

If you are at the conference, please go along and say hi to the team. And, as always, if there are any questions please let them or me know.


Filed under: Presentations and Conferences Tagged: big data, continuent, …

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Webinar-on-demand: Set up & operate real-time data loading into Hadoop

Getting data into Hadoop is not difficult, but it is complex if you want to load 'live' or semi-live data into your Hadoop cluster from your Oracle and MySQL databases. There are plenty of solutions available, from manually dumping and loading to the good and bad sides of using a tool like Sqoop. Neither are easy and both prone to the problems of lag between the moment you perform the dump and

Saving and restoring Edit sessions in MySQL for Excel

Since the first release you were allowed to open a session to directly edit data from a table at Excel on a worksheet and see those changes reflected immediately on the database. You were also capable of opening multiple sessions to different tables at the same time (when they belong to the same schema). The problem was that if for any reason you were forced to close Excel or the Workbook, you had no way to reopen those sessions and continue where you left off.

Today we are going to talk about another feature included since MySQL for Excel 1.2.0 which allows you  to save and restore edit sessions. Remember this product and many others can be downloaded directly from our MySQL Installer downloads page and installed for free.

Continuent Tungsten 2.0.2 Release Notification

We are pleased to inform you that the new Continuent Tungsten 2.0.2 is now available. Continuent Tungsten keeps data available to applications 7x24 through hardware failures, maintenance, and software upgrades. It ensures business continuity and performance by keeping up-to-date data closer to the user, and increases application throughput and improves response time by load balancing SQL

Real-Time Data Movement: The Key to Enabling Live Analytics With Hadoop

An article about moving data into Hadoop in real-time has just been published over at DBTA, written by me and my CEO Robert Hodges.

In the article I talk about one of the major issues for all people deploying databases in the modern heterogenous world – how do we move and migrate data effectively between entirely different database systems in a way that is efficient and usable. How do you get the data you need to the database you need it in. If your source is a transactional database, how does that data get moved into Hadoop in a way that makes the data usable to be queried by Hive, Impala or HBase?

You can read the full article here: Real-Time Data Movement: The Key to Enabling Live Analytics With Hadoop

 


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MySQL Enterprise Backup Improved Compression Algorithm for 3.10

Background:

Prior to version 3.10, MySQL Enterprise Backup (MEB) used zlib compression for in-memory compression of datafiles. The compression worked by splitting the innodb datafiles into fixed size blocks and compressing each block independently.After searching on the web we found there are many compression algorithms available which can be used for compression. This triggered the idea of testing the performance of available compression algorithms. If the benchmark shows improved performance we can make backup and/or restore faster by adding the new compression algorithm to MEB.

Implementation :

The idea to implement the algorithms procceded as follows .

1. Select a "long list" of algorithms based on literature and what Google and other databases are using.
2. Create a prototype of MEB supporting the algorithms in the long list.
3. Run comparison tests of algorithms with the MEB …

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Cross your Fingers for Tech14, see you at OSCON

So I’ve submitted my talks for the Tech14 UK Oracle User Group conference which is in Liverpool this year. I’m not going to give away the topics, but you can imagine they are going to be about data translation and movement and how to get your various databases talking together.

I can also say, after having seen other submissions for talks this year (as I’m helping to judge), that the conference is shaping up to be very interesting. There’s a good spread of different topics this year, but I know from having talked to the organisers that they are looking for more submissions in the areas of Operating Systems, Engineered Systems and Development (mobile and cloud).

If you’ve got a paper, presentation, or idea for one that you think would be useful, …

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New Tungsten Replicator 2.2.1 now available

New Continuent Tungsten Replicator 2.2.1 is now available for download at www.continuent.com/software and https://code.google.com/p/tungsten-replicator/wiki/Downloads?tm=2.Tungsten Replicator is a high performance, open source, data replication engine for MySQL and Oracle, released under a GPL V2 license. Tungsten Replicator has all the features you expect from enterprise-class data replication

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