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10 Newer Entries Showing entries 61 to 70 of 74 4 Older Entries

Displaying posts with tag: MySQL Cluster CGE (reset)

MySQL Cluster 7.0.7 source released
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Update: As explained in “MySQL Cluster 7.0.7 binaries released” you can now download the compiled binaries for your particular platform. I am going to leave this entry in place as it will hopefully be useful for future releases but for 7.0.7 you should refer to that other post.

You’ll need to wait for the pre-built binaries but you can now download the source code and build it for yourself to get started. This article explains where to get it and how to build, install and test the installation.

In this …

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MySQL Cluster: Geographic Replication Deep-Dive
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Following requests received during earlier MySQL Cluster webinars, a new (and as always, free) webinar has been scheduled which focuses on MySQL Cluster Replication. The webinar is scheduled for Thursday 10 September and you can register at http://www.mysql.com/news-and-events/web-seminars/display-415.html

I’ll be on-line during the webinar, answering questions.

Details….

MySQL Cluster: Geographic Replication Deep-Dive

Thursday, September 10, 2009

MySQL Cluster has been …

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Webinar: MySQL Cluster 7.0: What’s New? (AS/ANZ/IN)
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Mat Keep and I will be presenting a Webinar on Wednesday, August 12, 2009 describing the new capabilities of MySQL Cluster 7.0. The time is designed to be Asia/Australasia-friendly but of course it’s open to everyone.

Register for the MySQL Cluster 7 Webinar here.

By attending this webinar, you will learn more about the next generation of MySQL Cluster, and how it enables you to deliver 99.999% database availability, with real time performance and linear scalability, while slashing TCO.

Boasting a range of breakthrough …

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MySQL Cluster Data Node restart times
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Restarts are required for certain, infrequent maintenance activities. Note that there is no loss of service while a single node restarts.

When a data node restarts, it first attempts to load the data into memory from the local log files and then it will catch up with any subsequent changes by retrieveing them from the surviving node(s) in its node group.

 Based on this, you would expect the time taken to restart a data node to be influenced by:

  1. The amount of data that was stored on the data node before the restart
  2. Rate of updates being made to the data during the restart
  3. Network …
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Intelligent user-controlled partitioning and writing distribution-aware NDB API Applications
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Default partitioning

By default, Cluster will partition based on primary key

When adding rows to a table that’s using MySQL Cluster as the storage engine, each row is assigned to a partition where that partition is mastered by a particular data node in the Cluster. The best performance comes when all of the data required to satisfy a transaction is held within a single partition so that it can be satisfied within  a single data node rather than being bounced back and …

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MySQL Cluster Multi-Range Read using NDB API
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As described in “Batching – improving MySQL Cluster performance when using the NDB API“, reducing the number of times the application node has to access the data nodes can greatly improve performance and reduce latency. That article focussed on setting up multiple operatations (as part of a single transaction) and then executing them as a single batch sent by the NDB API library to the data nodes.

The purpose of this entry is to show how a single NDB API operation can access multiple rows from a …

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Batching – improving MySQL Cluster performance when using the NDB API
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As many people are aware, the best performance can be achieved from MySQL Cluster by using the native (C++) NDB API (rather than using SQL via a MySQL Server). What’s less well known is that you can improve the performance of your NDB-API enabled application even further by ‘batching’. This article attempts to explain why batching helps and how to do it.

What is batching and why does it help?

NDB API accessing data from the Cluster without batching

Batching involves sending multiple operations …

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Creating a simple Cluster on a single LINUX host
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It isn’t necessarily immediately obvious how to set up a Cluster on LINUX; this post attempts to show how to get a simple Cluster up and running. For simplicity, all of the nodes will run on a single host – a subsequent post will take the subsequent steps of moving some of them to a second host. As with my Windows post the Cluster will contain the following nodes:

  • 1 Management node (ndb_mgmd)
  • 2 Data nodes (ndbd)
  • 3 MySQL Server (API) nodes (mysqld)

Downloading and installing …

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MySQL Cluster - flexibility of replication
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One of the better kept secrets about MySQL Cluster appears to be the flexibility available when setting up replication. Rather than being constrained to implementing a single replication scheme, you can mix and match approaches.

Just about every Cluster deployment will use synchronous replication between the data nodes within a node group to implement High Availability (HA) by making sure that at the point a transaction is committed, the new data is stored in at least 2 physical hosts. Given that MySQL Cluster is usually used to store the data in main memory rather than on disk, this is pretty much mandatory (note that the data changes are …

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Webinar replay available: What’s New in the Next Generation of MySQL Cluster?
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There is another live webinar on MySQL Cluster 7.0 scheduled for 27th May 09:00 (Western European time) / 08:00 (UK time) / 11:00 (Eastern European time) and you can register here.

Alternatively, if you can’t wait that long then you can watch/listen to the play-back of the original webinar.

Note that you may need to …

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10 Newer Entries Showing entries 61 to 70 of 74 4 Older Entries

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