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Managing MySQL with Percona Toolkit by Frédéric Descamps

Frédéric Descamps of Percona.

Percona Toolkit is Maatkit & Aspersa combined. Opensource and the tools are very useful for a DBA.

You need Perl, DBI, DBD::mysql, Term::ReadKey. Most tools are written in Perl, and whatever is in Bash is being re-written in Perl. There is also a tarball or RPM or DEB packages.

Know your environment. The hardware & OS are crucial for you to know. How much memory/CPU do you use? Do you use swap? Is this a physical/virtual machine? Do you have free space? What kind of RAID controller? Volumes? Disk? What about the network interfaces? What IO schedulers are used? Which filesystem is the data stored on? To answer all that, just use pt-summary.

Know your MySQL environment. Version? Build? How many databases? Where is the data directory? …

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Comment on on MySQL replication prefetching by Replication features of 2011 by Sergey Petrunia | Colin Charles Agenda

[...] unless you are Facebook.”). There is replication booster by Yoshinori Matsunobu. There is a Python version of mk-slave-prefetch that Facebook [...]

Replication features of 2011 by Sergey Petrunia

Sergey Petrunia of the MariaDB project & Monty Program.

MySQL 5.5 GA at the end of 2010. MariaDB 5.3 RC towards the end of 2011 (beta in June 2011).

MySQL 5.5 is merged to Percona Server 5.5 which included semi-sync replication, slave fsync options, atuomatic relay log recovery, RBR slave type conversions (question if this is useful or not), individual log flushing (very useful, but not many using), replication heartbeat, SHOW RELAYLOG EVENTS. About 2/3rds of the audience use MySQL 5.5 in production, with only 2 people using semi-sync replication.

MariaDB 5.3 brings replication features brings group commit in the binary log, which is merged into Percona Server 5.5. Checksums for binlog events which is merged from MySQL 5.6. Sergey goes in-depth about the …

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MySQL Creatively in a Sandbox by Giuseppe Maxia

Giuseppe Maxia of Continuent and long time creator of MySQL Sandbox.

Only works on Unix-like servers. Works with MySQL, Percona & MariaDB servers. MySQL server has the data directory, the port and the socket – you can’t share these.

To use it: make_sandbox foo.tar.gz. Then just do ./use.

$SANDBOX_HOME is ~/sandboxes. You can also create ~/opt/mysql/ and if you have MySQL 5.0.91 binary in that directory, you can just do “sb 5.1.91″.

Sandbox has features to start replication systems as well. You can have varying master/slave setups with varying versions as well (good idea to test from MySQL -> MariaDB master->slave for migration).

You can now also play with tungsten-sandbox, which is a great way to start playing with Tungsten …

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Optimizing your InnoDB buffer pool usage by Steve Hardy

Steve Hardy of Zarafa.

Work that has been done to make Zarafa better. Why do you optimise your buffer pool? To decrease your I/O load. How can you do it? Buy more RAM, page compression, less (smaller) data, rearrange data.

MariaDB or Percona Server allows you to inspect your buffer pool (unsure if this is now available in MySQL 5.6). Giuseppe in the audience says this is available in MySQL 5.6, but Steve used this on MariaDB 5.2.

Strategies to fix it: Make records smaller. Remove indexes if you can use others almost as efficiently. Make records that are accessed around the same time have a higher chance of being on the same page. Use page compression. Buy more RAM. Try Batched Key Access (BKA) in MariaDB 5.3+.

Best to view the presentation since …

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Practical MySQL Indexing guidelines by Stéphane Combaudon

Stéphane Combaudon of Dailymotion.

Index: separate data structure to speed up SELECTs. Think of index in a book. In MySQL, key=index. Consider that indexes are trees.

InnoDB’s clustered index – data is stored with the Primary Key (PK) so PK lookups are fast. Secondary keys hold the PK values. Designing InnoDB PK’s with care is critical for performance.

An index can filter and/or sort values. An index can contain all the fields needed for the query you don’t need to go to the table (a covering index).

MySQL only uses 1 index per table per query (not 100% true – OR clauses), so think of a composite index when you can. Can’t index TEXT fields (use a prefix). Same for BLOBs and long VARCHARs.

Indexes: speed up queries, increases the size of your dataset, slows down writes. How big is the write slowdown? Simple test by Stephane, for in-memory workloads he says adding 2 keys makes performance 2x …

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MySQL synchronous replication in practice with Galera by Oli Sennhauser

Oli Sennhauser of FromDual.

Synchronous multi-master replication with the Galera plugin. Your application connects to the load balancer and it redirects read/write traffic to the various MySQL Galera nodes. Tested a setup with 17 SQL nodes and you can have even more. Scaling reads and also a little bit for scaling writes is what Galera is good for.

If one node fails, the other two nodes still communicates with each other and the load balancer is aware of the failed node.

Why Galera? There is master-slave replication but its not multi-master, and its asynchronous and you can get inconsistencies. There is master-master replication but its asynchronous and can have inconsistencies and conflicts if you write on both nodes. MHA/MMM/Tungsten are not providing new technology but are based on the MySQL replication technology. …

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Optimising SQL applications by using client side tools by Mark Riddoch

Mark Riddoch of SkySQL.

This was a talk about the future in general. What people would like. Etc. Not about something that exists yet, hence the sparse notes.

Trace statements are good for the “why”. You move on to the debugger, but what is a useful SQL debugger? Profilers addresses the “when”.

SQL developer tools: manually run queries (traditional route for development, effective way to test SQL statements, some indication of performance), server logs (alerts developers of serious issues like the slow query log – identify poorly written queries, requires server access, not effective in a cloud environment (?)), external monitoring (network sniffing of connection packets, Ethereal dissectors – allow individual connections to be traced, no server access, privileged network access, complex to interpret, possibility of packet loss), intrusive tools (insert …

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MySQL Cluster by Ralf Gebhardt

Ralf Gebhardt of SkySQL.

Cluster: shared nothing architecture (no single point of failure), synchronous replication between nodes, ACID transactions, row level locking. In-memory storage (some data can be stored on disk, but indexes must be in-memory). Checkpointing to disk for durability. It supports two types of indexes – ordered T-trees, unique hash indexes. Online operations like adding node groups, software upgrades, table alterations. Quick standard architecture diagram displayed about MySQL Cluster.

Network partitioning protocol is designed to avoid a split brain scenario. Is there at least one node from each node group? If not then this part cannot continue – graceful shutdown. Are all nodes present from any node group? If so, then this is the only viable cluster – continue to operate. Ask the arbitrator – the arbitrator which parts will continue if no arbitrator …

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Building simple & complex replication clusters with Tungsten Replicator by Giuseppe Maxia

Giuseppe Maxia of Continuent.

MySQL replication is single threaded. Multi-master replication is complex with MySQL. Circular replication works but is very fragile. Once you’ve achieved the feat, how do you avoid conflicts? The lack of global transaction ID today also means you may have slaves that may not be synchronized fully. Finally, some people like to replicate to PostgreSQL, Oracle and MongoDB.

This is where Tungsten Replicator comes into place. Opensource. 100% GPLv2. You can do easy failover (no need to synchronize the slaves manually when a master dies), have multiple masters, multiple sources to a single slave, conflict prevention, parallel replication, and replicate to Oracle/PostgreSQL database (heterogeneous replication – …

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