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Displaying posts with tag: database (reset)
Announcing MySQL Utilities release-1.5.4 GA!

The MySQL Utilities Team is pleased to announce the general availability (GA) release of MySQL Utilities. This release includes a number of improvements for useabilty, stability, and a few enhancements. A complete list of all improvements can be found in our release notes.

New Enhancements!   This release represents a stable release of the product. Along with several defect patches, we also include the following enhancements.

  • Improved support for MySQL 5.7 early releases
  • Improved output for mysqldbcompare
  • Improved SSL support


How Can I Download MySQL Utilities?
You can download MySQL Utilities 1.5.2 GA from the following link using one of the pre-built installation repositories including a source download.

[Read more]
New! Connector/Arduino release-1.0.3-rc is ready!

I've completed a new release of the Connector/Arduino! The new release contains some minor improvements as follows.

  • Code has been changed slightly to help with long latency issues over wifi and slow connections.
  • A new cleanup method was added to cleanup a final OK packet after a stored procedure call with a result.
  • Code now compiles without errors for the latest Beta Arduino IDE (const error).



Enjoy!

Galera Cluster for MySQL vs MySQL (NDB) Cluster: A High Level Comparison - Webinar Replay & Slides

 

Thanks to everyone who attended and participated in last week’s webinar on 'Galera Cluster for MySQL vs MySQL (NDB) Cluster: A High Level Comparison'. If you missed the sessions or would like to watch the webinar again & browse through the slides, they are now available online.

 

In this webinar, Severalnines VP of Products, Alex Yu, who was part of the team at Ericsson who originally developed the NDB storage engine in 2001, gave an overview of the two clustering architectures and discussed their respective strengths and weaknesses: 

  1. MySQL Cluster architecture: strengths and limitations
  2. Galera Architecture: strengths and limitations
  3. Deployment scenarios
  4. Data migration
  5. Read and write workloads (Optimistic/pessimistic locking)
  6. WAN/Geographical replication
  7. Schema changes
  8. Management and monitoring …
[Read more]
Is automation killing old-school operations?

Join 27,000 others and follow Sean Hull on twitter @hullsean. I was shocked to find this article on ReadWrite: The Truth About DevOps: IT Isn’t Dead; It’s not even Dying. Wait a second, do people really think this? Truth is I have heard whispers of this before. I was at a meetup recently where the […]

MySQL for Database Administrators Training Available in Eight Languages

The MySQL for Database Administrators training course is one of the most popular courses at Oracle. This is not surprising since it provides a comprehensive range of administration skills to those using the world's most popular open source database.

You can travel to an education center to take this 5-day instructor-led course, and as shown in the table below, events are currently scheduled for delivery in 8 languages (Arabic, Brazilian Portuguese, English, French, Hebrew, Italian, Spanish, Turkish).

If you want to take this training from your own desk, you have two options:

  • Training-on-Demand: Start training within 24 hours of registration, following training at your own pace.
  • Live-Virtual Event: Follow a live event …
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The Road to MySQL 5.6 -- A DBA Perspective

We've all heard the hype.  MySQL 5.6 is packed with amazing new features that address all our database problems.  5.6 deals with replication and HA and performance and monitoring and security and features.  It just may cure cancer.

In fact it's been out for ages.  It went GA  …

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MySQL dynamic pivot table

I’m using Redmine to manage projects and bug reports, I was needing a daily report with spent time by user on each project, nothing complicated, but I wanted a cross-reference result like Excel dynamic tables. As we know, MySQL doesn’t support dynamic cross-reference queries but I make an approach:

1. Write the main query with rows: project identifier, task subject and total hours in a date range.

SELECT p.identifier, 
        e.issue_id, i.subject, round(SUM(e.hours),2) AS total_hours
        FROM redmine_nsp.time_entries e
        INNER JOIN redmine_nsp.issues i ON e.issue_id = i.id
        INNER JOIN redmine_nsp.projects p ON e.project_id = p.id
        WHERE e.spent_on BETWEEN '2014-07-01' AND '2014-07-07'
 GROUP BY p.identifier,e.issue_id;
+------------+----------+----------------------------+-------------+
| identifier | issue_id | subject                    | total_hours | …
[Read more]
Save 20% With MySQL Training and Certification Packages

Get the best from both worlds with bundled packages: a training course and a certification exam voucher. You save 20% when you buy training and certification in discount packages.

Training helps you acquire product expertise. Certification proves this expertise to your future employers.

There are two MySQL Discount Packages: MySQL Database Administration and MySQL Developer.

For more information about the authentic MySQL curriculum, go to …

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My experience with node and mongodb course "M101JS: MongoDB for Node.js Developers" (Third Week)

Well, currently I am into the third week of mongodb node course "M101JS: MongoDB for Node.js Developers" and I am pretty enjoying it.

Lots of personal learning into node and mongodb.

The third week subject of "Patterns, Case Studies & Tradeoffs" is really interesting.

Here is a list of topics, I learned about:
- Mongodb rich documents concept.
- Mongodb schema use cases.
- Mongodb one:one, one:many, many:many use cases.
- How to select schema based on the usage like whether you want max performance
  or it may be a tradeoff.

One important point, I learned during the course is:
"While relational databases usually go for the normalised 3rd form so that data usage is agnostic to application, but mongodb schema arrangement is very closely related to application usage and varies accordingly."

Optimizing MySQL, Improving Performance of Database Servers

Optimization involves improving the performance of a database server and queries that run against it. Optimization reduces query execution time and optimized queries benefit everyone that uses the server. When the server runs more smoothly and processes more queries with less, it performs better as a whole. To learn more about how a MySQL developer can make a difference with optimization, take the MySQL Developers training course.

This 5-day instructor-led course is available as:

  • Live-Virtual Event: Attend a live class from your own desk - no travel required. Choose from a selection of events on the schedule to suit different timezones.
  • In-Class Event: Travel to an education center to attend an event. Below is a selection of the …
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