This Log Buffer Edition encompasses few of the nifty blog posts from Oracle, SQL Server and MySQL.

Oracle:

Introduction to Oracle Big Data Cloud Service

Interpreting wpad.dat using jrunscript from JDK 8 to work out the right proxy.

Nice Trick to Get ADF LOV Description Text

Presentation: Dynamic Actions, Javascript, & CSS for APEX Beginners

E4 Session …

Update - the regression isn't as bad as I have been reporting. Read this post to understand why.

After sharing results for in-memory sysbench with MySQL 5.6, 5.7 and 8 I was curious about older releases and here I have results for MySQL 5.0, 5.1 and 5.5 in addition to 5.6, 5.7 and 8. This is one more result in my series on low-concurrency performance regressions.

tl;dr

• MySQL 4.1 and 5.5 weren't great releases for performance. I skipped both in production.
• The biggest drop in QPS between releases is from 5.6 to 5.7 and that drop often exceeds the drop from 5.0 to 5.6. What happened?  …

Today we welcome Derek Downey to the show. Derek is the Practice Advocate for the OpenSource Database practice at Pythian, helping to align technical and business objectives for companies and clients. Derek has also been a presenter at Percona Live Conference. The Percona Live Open Source Database Conference is the premier event for the diverse and active open source database community, as well as businesses that develop and use open source database software. The conference has a technical focus with an emphasis on the core topics of MySQL, MongoDB, and other open source databases.

In this episode, Derek focuses on the core topics of MySQL, MongoDB, and other open source databases and he shares more insights from his experience at the Percona Live Conference. Percona Live is an opportunity to network with peers and technology professionals by bringing together accomplished …

Before explaining how you can improve the speed for performing point-in-time recovery, let’s recall what is Point-In-Time Recovery and how it’s usually performed.

Point-in-Time Recovery, PTR

Point-In-Time recovery is a technique of restoring your data until a certain point (usually until an event that you would like that has never happened).

For example, a user did a mistake and you would like to recover your data up to that mistake to revert its effects like a drop table or a massive delete.

The usual technique consists to restore the last backup and replay the binary logs up to that unfortunate “event”.

So, as you might have already realized, backups and binary logs are required

The main spread technique to replace those binary logs event is to use the `mysqlbinlog` command. However, depending on your workload, this process can be quick or slow, depending on how much data there …

In this blog post, we’ll look at three different methods for installing Percona Monitoring and Management (PMM).

Percona offers multiple methods of installing Percona Monitoring and Management, depending on your environment and scale. I’ll also share comments on which installation methods we’ve decided to forego for now. Let’s begin by reviewing the three supported methods:

1. Virtual Appliance
2. Amazon Machine Image
3. Docker

Virtual Appliance

We ship an OVF/OVA method to make installation as simple as …

Tumblr is a big user of MySQL, and MySQL automation at Tumblr is centered around a tool we built called Jetpants. Jetpants does an incredible job making risky operations safe and reliable, even fairly complex tasks like replacing failed master servers, or splitting a shard.

While Jetpants is an incredibly effective and valuable tool for Tumblr’s day-to-day operation, it has remained very difficult to implement a meaningful testing framework. Integration testing at this level is very challenging. In this article I’ll go through these challenges and how we’ve tackled them at Tumblr.

Requirements

Jetpants operates under the assumption you’re managing MySQL daemons on a fully functional host, and that it can:

• ssh to the target system
• manage processes via service or systemctl commands
• copy data around between systems …

Many thanks to everyone who registered and/or participated in Tuesday’s webinar on backup strategies and best practices for MySQL, MariaDB and Galera clusters led by Krzysztof Książek, Senior Support Engineer at Severalnines. If you missed the session, would like to watch it again or browse through the slides, they’re now online for viewing. Also check out the transcript of the Q&A session below.

Watch the webinar replay

Whether you’re a SysAdmin, DBA or DevOps professional operating MySQL, MariaDB or Galera clusters in production, you should make sure that your backups are scheduled, executed and regularly tested. Krzysztof shared some of his key best practice tips & tricks yesterday on how to do just that; including a live demo with ClusterControl. In short, this webinar replay shows you …

In my previous post, I wrote about the new Japanese collation for utf8mb4 introduced in MySQL 8.0.1! This collation (utf8mb4_ja_0900_as_cs) implements accent / case sensitivity for Japanese as defined by CLDR 30.

Today, I am writing about our new utf8mb4_ja_0900_as_cs_ks collation which includes support for kana sensitivity.…

The white paper shares lessons learned from a careful, component level analysis of China Mobile’s 1000-node OpenStack cloud. They uncovered three major issues in the course of this study, all addressed through OpenStack configuration changes. The result: a more stable and performant China Mobile OpenStack cloud and insights into scale bottlenecks and areas for future work.

Read the full story: Analyzing and Tuning China Mobile’s OpenStack Production Cloud white paper below

performance_analysis_and_tuning_in_china_mobiles_openstack_production_cloud_2

MySQL's new NoSQL database is quite a big change for all used to using a SQL speaking relational database. The Document Store makes use of the new MySQL Shell, the new X Protocol, and the new X Devapi to provide a NoSQL document storage service. This provides a way for developers to have a schema-less, NoSQL data store to build services and applications is a quick fashion without having to design a schema, normalize data, develop queries in SQL, or any of the rest of the overhead needed to create a relational databases. Behind the scenes and invisible to the developer is that the schema-less data is stores in a JSON type column in a MySQL instance.

Please note that I am using JavaScript Mode (instead of SQL or Python) for these examples. No special reason.

First Step The new MySQL Shell is a separate install from the server software. Once installed it will provide the ability to use MySQL as a document store. …