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Displaying posts with tag: Migration (reset)
Webinar June 7, 2017: MySQL In the Cloud – Migration, Best Practices, High Availability, Scaling

Join Percona’s CEO and Founder Peter Zaitsev as he presents MySQL In the Cloud: Migration, Best Practices, High Availability, Scaling on Wednesday, June 7, 2017, at 10 am PDT / 1:00 pm EDT (UTC-7).

Register Now

Businesses are moving many of the systems and processes they once owned to offsite “service” models: Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), etc. These services are usually referred to as being “in the cloud” – meaning that the infrastructure and management of the service in …

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New tool: GitHub's online schema migration for MySQL

Shlomi Noach from the the Github engineering team posted the release of a new tool for triggerless online schema migration with MySQL. Although it's mostly targeted at databases using a replication architecture, if you don’t have replicas, or do not wish to use them, you are still able to operate directly on the master. In spite of being a wonderful project and being used in production by

Choosing Whether to Migrate to Another Database: Uber

Uber Engineering explains the technical reasoning behind its switch in database technologies, from Postgres to MySQL:

These things are always an interesting read, because it looks at one company’s decision making process and operational steps.

At Open Query we’re not a fan of migrations – it doesn’t matter from what brand to what brand, migrations tend to be expensive and painful.  Any application tends to be more suited to a particular brand – because of design and implementation choices. This is neither good nor bad, it’s just a fact that has to be acknowledged when considering these things.

Similarly, infrastructure (what hardware there is and how it’s set up and connected) tends to be dependent on the brand choice, as different databases have different needs in that space, …

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Netflix Billing Migration to AWS - Part II

Motivation to Migrate RDBMS

Companies that use a standard edition of Oracle’s database software should be aware that a rapidly approaching deadline could mean increased licensing costs.

Speaking from experience (at both MySQL AB and Open Query), typically, licensing/pricing changes such as these act as a motivator for migrations.

Migrations are a nuisance (doesn’t matter from/to what platform) and are best avoided as they’re intrinsically painful, costly and time-consuming. Smart companies know this.

When asked in generic terms, we generally recommend against migrations (even to MySQL/MariaDB) for the above-mentioned practical and business reasons. There are also technical reasons. I’ll list a …

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Amazon RDS Migration Tool

Amazon has just released their RDS Migration Tool, and Pythian has recently undertaken training to use for our clients. I wanted to share my initial thoughts on the tool, give some background on its internals, and provide a walk-through on the functionality it will be most commonly used for.

There are many factors to consider when evaluating cloud service providers, including cost, performance, and high availability and disaster recovery options. One of the most critical and overlooked elements of any cloud offering though, is the ease of migration. Often, weeks are spent evaluating all of the options only to discover after the choice is made that it will take hours of expensive downtime to complete the migration, and that there is no good rollback option in the case of failure.

In order to reduce the friction inherent in the move to a DBaaS offering, Amazon has developed an RDS Migration tool. This is an in-depth look at this new …

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Data Warehouse in the Cloud - How to Upload MySQL data into Amazon Redshift for reporting and analytics

October 27, 2014 By Severalnines

The term data warehousing often brings to mind things like large complex projects, big businesses, proprietary hardware and expensive software licenses. With Hadoop came open source data analysis software that ran on commodity hardware, this helped address at least some of the cost aspects. We had previously blogged about MongoDB and MySQL to Hadoop. But setting up and maintaining a Hadoop infrastructure might still be out of reach for small businesses or small projects with limited budgets. Well, perhaps then you might want to have a look at Redshift.

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MySQL Workbench 6.2: New Migration Source and Sync Feature

MS Access Migration

MS Access support was added to the Migration Wizard in MySQL Workbench 6.2, joining MS SQL Server, Sybase ASE, Sybase SQL Anywhere, PostgreSQL, SQLite and “Generic ODBC” as migration sources. You can read more about it in How-To: Guide to Database Migration from MS Access using MySQL Workbench.

Include Model Scripts in Forward Engineering and Synchronization

Workbench modeling has always supported attaching SQL script files to the model, usually for documentation/organization purposes. You can now include these attachments to the output script when performing forward engineering or synchronization.

Resume data copy …

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How-To: Guide to Database Migration from MS Access using MySQL Workbench

Edit: added sample table output in MySQL

MySQL Workbench 6.2 introduces support for MS Access migration. This tutorial should help you get your Access tables, indexes, relationships and data in MySQL.


Because MS Access ODBC drivers are only available for Windows, migrating from it is also only possible from Windows. As for the destination MySQL server, you can have it in the same local machine or elsewhere in your network.

MS Access stores relationship/foreign key information in an internal table called MSysRelationships. That table is protected against read access even to the Admin user, so if you try to migrate without opening up access to it, you will get an error like this:

[42000] [Microsoft][ODBC Microsoft Access Driver] Record(s) cannot be read; no read permission on 'msysobjects'. (-1907) (SQLExecDirectW)

The steps to grant read access to …

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Big Data Integration & ETL - Moving Live Clickstream Data from MongoDB to Hadoop for Analytics

June 16, 2014 By Severalnines

MongoDB is great at storing clickstream data, but using it to analyze millions of documents can be challenging. Hadoop provides a way of processing and analyzing data at large scale. Since it is a parallel system, workloads can be split on multiple nodes and computations on large datasets can be done in relatively short timeframes. MongoDB data can be moved into Hadoop using ETL tools like Talend or Pentaho Data Integration (Kettle).


In this blog, we’ll show you how to integrate your MongoDB and Hadoop datastores using Talend. We have a MongoDB database collecting clickstream data from several websites. We’ll create a job in Talend to extract the documents from MongoDB, transform and then load them into HDFS. We will also show you how to schedule this job to be executed every 5 minutes.


Test Case


We have an application …

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