Best practices for MySQL High Availability Tutorial

Best practices for MySQL High Availability
in 2017
Colin Charles, Chief Evangelist, Percona Inc.

colin.charles@percona.com / byte@bytebot.net

http://www.bytebot.net/blog/ | @bytebot on Twitter

O’Reilly Velocity, London, United Kingdom

18 October 2017

whoami
• Chief Evangelist, Percona Inc

• Founding team of MariaDB Server (2009-2016), previously
at Monty Program Ab, merged with SkySQL Ab, now
MariaDB Corporation

• Formerly MySQL AB (exit: Sun Microsystems)

• Past lives include Fedora Project (FESCO), OpenOffice.org

• MySQL Community Contributor of the Year Award winner
2014

License
• Creative Commons BY-NC-SA 4.0

• https://creativecommons.org/licenses/by-
nc-sa/4.0/legalcode

Agenda
• Choosing the right High Availability (HA) solution

• Discuss replication

• Handling failure

• Discuss proxies

• HA in the cloud, geographical redundancy

• Sharding solutions

• MySQL 5.6/5.7 features + utilities + Fabric + Router

• What’s next?

• Break: 15:00-15:30

Setting up
• Vagrant/Virtualbox

• github.com/ronaldbradford/mysql-security-tutorial

• Docker

• wget https://bit.ly/dockerhelper

• source ./dockerhelper

• docker_mysql | docker_percona | docker_mariadb

• Better yet, wait a while and setup MySQL Sandbox
(easiest option - Linux/macOS only)

Uptime
Percentile target Max downtime per year
90% 36 days
99% 3.65 days
99.5% 1.83 days
99.9% 8.76 hours
99.99% 52.56 minutes
99.999% 5.25 minutes
99.9999% 31.5 seconds

Estimates of levels of availability
Method
Level of
Availability
Simple replication 98-99.9%
Master-Master/MMM 99%
SAN 99.5-99.9%
DRBD, MHA, Tungsten
Replicator
99.9%
NDBCluster, Galera, Group
Replication/InnoDB Cluster
99.999%

HA is Redundancy
• RAID: disk crashes? Another works

• Clustering: server crashes? Another works

• Power: fuse blows? Redundant power supplies

• Network: Switch/NIC crashes? 2nd network
route

• Geographical: Datacenter offline/destroyed?
Computation to another DC

Durability
• Data stored on disks

• Is it really written to the disk?

• being durable means calling fsync() on
each commit

• Is it written in a transactional way to
guarantee atomicity, crash safety, integrity?

High Availability for databases
• HA is harder for databases

• Hardware resources and data need to be redundant

• Remember, this isn’t just data - constantly changing
data

• HA means the operation can continue uninterrupted,
not by restoring a new/backup server

• uninterrupted: measured in percentiles

Redundancy through client-side XA
transactions
• Client writes to 2 independent but
identical databases

• HA-JDBC (http://ha-jdbc.github.io/)

• No replication anywhere

InnoDB “recovery” time
•innodb_log_file_size
• larger = longer recovery times

• Percona Server 5.5 (XtraDB) -
innodb_recovery_stats

Redundancy through shared storage
• Requires specialist hardware, like a SAN

• Complex to operate

• One set of data is your single point of failure

• Cold standby

• failover 1-30 minutes

• this isn’t scale-out

Redundancy through disk replication
• DRBD

• Linux administration vs. DBA skills

• Synchronous

• Second set of data inaccessible for use

• Passive server acting as hot standby

• Failover: 1-30 minutes

• Performance hit: DRBD worst case is ~60% single node
performance, with higher average latencies

MySQL Sandbox
• Great for testing various versions of MySQL/
Percona Server/MariaDB

• Great for creating replication environments

• make_sandbox mysql.tar.gz

•make_replication_sandbox
mysql.tar.gz
• http://mysqlsandbox.net/

Redundancy through MySQL replication
• MySQL replication

• Tungsten Replicator

• Galera Cluster

• MySQL Group Replication

• MySQL Cluster (NDBCLUSTER)

• Storage requirements are multiplied

• Huge potential for scaling out

MySQL Replication
• Statement based generally

• Row based became available in 5.1, and the default in 5.7

• mixed-mode, resulting in STATEMENT except if calling

• UUID function, UDF, CURRENT_USER/USER function, LOAD_FILE
function

• 2 or more AUTO_INCREMENT columns updated with same statement

• server variable used in statement

• storage engine doesn’t allow statement based replication, like
NDBCLUSTER

• default in MariaDB Server 10.2 onwards

MySQL Replication II
• Asynchronous by default

• Semi-synchronous plugin in 5.5+

• However the holy grail of fully synchronous replication
is not part of standard MySQL replication (yet?)

• MariaDB Galera Cluster is built-in to MariaDB Server
10.1

• Group replication plugin for MySQL 5.7 / Percona
Server 5.7

The logs
• Binary log (binlog) - events that describe database
changes

• Relay log - events read from binlog on master,
written by slave i/o thread

• master_info_log - status/config info for slave’s
connection to master

• relay_log_info_log - status info about execution
point in slave’s relay log

Semi-synchronous replication
• semi-sync capable slave acknowledges transaction
event only after written to relay log & flushed to disk

• timeout occurs? master reverts to async
replication; resumes when slaves catch up

• at scale, Facebook runs semi-sync: http://
yoshinorimatsunobu.blogspot.com/2014/04/semi-
synchronous-replication-at-facebook.html

Semi-sync II
• nowadays, its enhanced (COMMIT method):
1. prepare transaction in storage engine
2. write transaction to binlog, ﬂush to disk
3. wait for at least one slave to ack binlog event
4. commit transaction to storage engine

MySQL Replication in 5.6
• Global Transaction ID (GTID)

• Server UUID

• Ignore (master) server IDs (filtering)

• Per-schema multi-threaded slave

• Group commit in the binary log

• Binary log (binlog) checksums

• Crash safe binlog and relay logs

• Time delayed replication

• Parallel replication (per database)

MySQL Replication in 5.7
• Multi-source replication

• Online GTID implementation

• Loss-less semi-sync

• Intra-schema parallel replication

• Group commit tuning

• Online CHANGE MASTER TO w/o stopping replication
thread

• GTIDs in the OK packet

crash-safe binlog
• MariaDB 5.5 checkpoints after every commit —> expensive!
• 5.5/5.6 stalls commits around binlog rotate, waiting for all prepared
transactions to commit (since crash recovery can only scan latest
binlog ﬁle)

crash-safe binlog 10.0
• 10.0 makes binlog checkpoints asynchronous
• A binlog can have no checkpoints at all
• Ability to scan multiple binlogs during crash recovery
• Remove stalls around binlog rotates

Group commit in MariaDB 10.1
• Tricky locking issues hard to change without getting deadlocks sometimes
• mysql#68251, mysql#68569
• New code? Binlog rotate in background thread (further reducing stalls). Split transactions
across binlogs, so big transactions do not lead to big binlog ﬁles
• Works with enhanced semi-sync replication (wait for slave before commit on the master
rather than after commit)

Replication: START TRANSACTION
WITH CONSISTENT SNAPSHOT
• Works with the binlog, possible to obtain the binlog position corresponding to a
transactional snapshot of the database without blocking any other queries.
• by-product of group commit in the binlog to view commit ordering (MariaDB
Server 5.3+, Percona Server for MySQL 5.6+)
• Used by the command mysqldump--single-transaction --master-
data to do a fully non-blocking backup
• Works consistently between transactions involving more than one storage engine
• Originally from MariaDB Server, but is present in MySQL 5.7+
• Percona Server enhanced it by adding session ID, and also introducing backup locks

Multi-source replication
• Multi-source replication - (real-time) analytics, shard provisioning, backups, etc.
• @@default_master_connection contains current connection name
(used if connection name is not given)
• All master/slave commands take a connection name now (like CHANGE
MASTER “connection_name”, SHOW SLAVE “connection_name” STATUS, etc.)
• Remember syntax differences in MySQL 5.7 and MariaDB Server 10.0+
• also there are channel limitation differences (256 vs 64, which “grows”)

Global Transaction ID (GTID)
• Supports multi-source replication
• GTID can be enabled or disabled independently and online for masters or slaves
• Slaves using GTID do not have to have binary logging enabled.
• (MariaDB Server) Supports multiple replication domains (independent binlog streams)
• Queries in different domains can be run in parallel on the slave.

Why is MariaDB Server GTID is different compared
to MySQL 5.6?
• MySQL 5.6 GTID does not support multi-source replication (only 5.7
supports this)
• Supports —log-slave-updates=0 for efﬁciency (like 5.7)
• Enabled by default
• Turn it on without having to restart the topology (just like 5.7)

Crash-safe slave (w/InnoDB DML)
• Replace non-transactional ﬁle relay_log.info with transactional
mysql.rpl_slave_state
• Changes to rpl_slave_state are transactionally recovered after
crash along with user data.

Crash-safe slaves in 5.6?
• Not using GTID
• you can put relay-log.info into InnoDB table, that gets updated along w/trxn
• Using GTID
• relay-log.info not used. Slave position stored in binlog on slave (—log-slave-updates required)
• Using parallel replication
• Uses a different InnoDB table for this use case

Replication domains
• Keep central concept that replication is just applying events in-order from a serial
binlog stream.
• Allow multi-source replication with multiple active masters
• Let’s the DBA conﬁgure multiple independent binlog streams (one per active
master: mysqld --git-domain-id=#)
• Events within one stream are ordered the same across entire replication topology
• Events between different streams can be in different order on different servers
• Binlog position is one ID per replication domain
Unique to
MariaDB

Parallel (//) replication
• MySQL 5.6: schema based // replication

• MariaDB Server 10.0: domain id + group
commit // replication + per table

• MariaDB Server 10.1: optimistic // replication

• MySQL 5.7: logical clock // replication (interval
based)

• MySQL 8: write set parallelism identification

Parallel replication 2
• MySQL 5.7

•SET GLOBAL slave_parallel_workers=N
• DATABASE: schema based // replication

• LOGICAL_CLOCK: interval in binlog

• “out-of-order” // replication uses gaps (START SLAVE UNTIL
SQL_AFTER_MTS_GAPS;)

• slave_preserve_commit_order=1 (no gaps, but log-slave-updates must
be on)

• Slow down master to speed up slave?

•binlog_group_commit_sync_delay
•binlog_group_commit_sync_no_delay_count

Intervals vs. commit ids
• MariaDB has “commit id”

•#150316 11:33:46 ... GTID 0-1-185 cid=2335
• MySQL 5.7 has

• sequence_number: increasing id for each transaction (not the GTID)

• last_committed: sequence number of latest transaction on which
transaction depends on

• Interval is last_committed/sequence_number pair

•#170206 20:08:33 ... last_committed=6205
sequence_number=6207

All in… sometimes it can get out of sync
• Changed information on slave directly

• Statement based replication

• non-deterministic SQL (UPDATE/DELETE with LIMIT and without ORDER BY)

• triggers & stored procedures

• Master in MyISAM, slave in InnoDB (deadlocks)

• --replication-ignore-db with fully qualified queries

• Binlog corruption on master

• PURGE BINARY LOGS issued and not enough files to update slave

• read_buffer_size larger than max_allowed_packet

• Timezones matter! (UTC+0 is great)

• Bugs?

Replication Monitoring
• Percona Toolkit is important

• pt-slave-find: find slave information from master

• pt-table-checksum: online replication
consistency check

• executes checksum queries on master

• pt-table-sync: synchronise table data efficiently

• changes data, so backups important

Replication Monitoring with PMM
•http://pmmdemo.percona.com/

Setting up PMM
• https://www.percona.com/doc/percona-
monitoring-and-management/index.html

• docker pull percona/pmm-server:latest

• docker run ... -e
ORCHESTRATOR_ENABLED=true

Statement Based Replication Binlog
$ mysqlbinlog mysql-bin.000001

# at 3134

#140721 13:59:57 server id 1 end_log_pos 3217 CRC32 0x974e3831 Query thread_id=9 exec_time=0
error_code=0

SET TIMESTAMP=1405943997/*!*/;

BEGIN
/*!*/;

# at 3217

#140721 13:59:57 server id 1 end_log_pos 3249 CRC32 0x8de28161 Intvar

SET INSERT_ID=2/*!*/;

# at 3249

#140721 13:59:57 server id 1 end_log_pos 3370 CRC32 0x121ef29f Query thread_id=9 exec_time=0
error_code=0

SET TIMESTAMP=1405943997/*!*/;

insert into auto (data) values ('a test 2')
/*!*/;

# at 3370

#140721 13:59:57 server id 1 end_log_pos 3401 CRC32 0x34354945 Xid = 414
COMMIT/*!*/;

Dynamic replication variable control
•SET GLOBAL
binlog_format=‘STATEMENT’ |
‘ROW’ | ‘MIXED’
• Can also be set as a session level

• Dynamic replication filtering variables on
MariaDB 5.3+, MySQL 5.7+

Row based replication event
> mysqlbinlog mysql-bin.*

# at 3401

#140721 14:03:59 server id 1 end_log_pos 3477 CRC32 0xa37f424a Query thread_id=9 exec_time=0 error_code=0

SET TIMESTAMP=1405944239.559237/*!*/;

BEGIN

/*!*/;

# at 3477

#140721 14:03:59 server id 1 end_log_pos 3529 CRC32 0xf4587de5 Table_map: `demo`.`auto` mapped to number 80

# at 3529

#140721 14:03:59 server id 1 end_log_pos 3585 CRC32 0xbfd73d98 Write_rows: table id 80 flags: STMT_END_F

BINLOG '
rwHNUxMBAAAANAAAAMkNAAAAAFAAAAAAAAEABGRlbW8ABGF1dG8AAwMRDwMGZAAE5X1Y9A==
rwHNUx4BAAAAOAAAAAEOAAAAAFAAAAAAAAEAAgAD//gDAAAAU80BrwiIhQhhIHRlc3QgM5g9178=
'/*!*/;
# at 3585

#140721 14:03:59 server id 1 end_log_pos 3616 CRC32 0x5f422fed Xid = 416

COMMIT/*!*/;

mysqlbinlog versions
•ERROR: Error in
Log_event::read_log_event(): 'Found
invalid event in binary log', data_len:
56, event_type: 30
• 5.6 ships with a “streaming binlog backup server” -
v.3.4; MariaDB 10 doesn’t - v.3.3 (fixed in 10.2 -
MDEV-8713)

• GTID variances!

GTID
# at 471
#140721 14:20:01 server id 1 end_log_pos 519 CRC32 0x209d8843 GTID [commit=yes]
SET @@SESSION.GTID_NEXT= 'ff89bf58-105e-11e4-b2f1-448a5b5dd481:2'/*!*/;
# at 519
#140721 14:20:01 server id 1 end_log_pos 602 CRC32 0x5c798741 Querythread_id=3 exec_time=0 error_code=0
SET TIMESTAMP=1405945201.329607/*!*/;
BEGIN
/*!*/;
# at 602
# at 634
#140721 14:20:01 server id 1 end_log_pos 634 CRC32 0xa5005598 Intvar
SET INSERT_ID=5/*!*/;
#140721 14:20:01 server id 1 end_log_pos 760 CRC32 0x0b701850 Querythread_id=3 exec_time=0 error_code=0
SET TIMESTAMP=1405945201.329607/*!*/;
insert into auto (data) values ('a test 5 gtid')
/*!*/;
# at 760
#140721 14:20:01 server id 1 end_log_pos 791 CRC32 0x497a23e0 Xid = 31
COMMIT/*!*/;

SHOW SLAVE STATUS
mysql> show slave statusG

*************************** 1. row ***************************

Slave_IO_State: Waiting for master to send event

Master_Host: server1

Master_User: repluser

Master_Port: 3306

...

Master_Log_File: server1-binlog.000008 <- io_thread (read)

Read_Master_Log_Pos: 436614719 <- io_thread (read)

Relay_Log_File: server2-relaylog.000007 <- io_thread (write)

Relay_Log_Pos: 236 <- io_thread (write)

Relay_Master_Log_File: server1-binlog.000008 <- sql_thread

Slave_IO_Running: Yes

Slave_SQL_Running: Yes

...

Exec_Master_Log_Pos: 436614719 <- sql_thread

...

Seconds_Behind_Master: 0

Slave prefetching
• Replication Booster

• https://github.com/yoshinorim/replication-booster-
for-mysql

• Prefetch MySQL relay logs to make the SQL thread
faster

• Tungsten has slave prefetch

• Percona Server till 5.6 + MariaDB till 10.1 have
InnoDB fake changes

What replaces slave prefetching?
• In Percona Server 5.7, slave prefetching has
been replaced by doing intra-schema
parallel replication

• Feature removed from Percona XtraDB
storage engine

• MariaDB Server 10.2 uses InnoDB so use
intra-schema parallel replication too

Tungsten Replicator
• Replaces MySQL Replication layer

• MySQL writes binlog, Tungsten reads it and uses its own replication
protocol

• Global Transaction ID

• Per-schema multi-threaded slave

• Heterogeneous replication: MySQL <-> MongoDB <-> PostgreSQL <->
Oracle

• Multi-master replication

• Multiple masters to single slave (multi-source replication)

• Many complex topologies

• Continuent Tungsten (Enterprise) vs Tungsten Replicator (Open Source)

In today’s world, what does it offer?
•opensource MySQL <-> Oracle replication to aid in your
migration
• automatic failover without MHA
• multi-master with cloud topologies too
•Oracle <-> Oracle replication (this is like Golden Gate for
FREE)
• Replication from MySQL to MongoDB
• Data loading into Hadoop

Galera Cluster
• Inside MySQL, a replication plugin (wsrep)

• Replaces MySQL replication (but can work alongside it
too)

• True multi-master, active-active solution

• Virtually Synchronous

• WAN performance: 100-300ms/commit, works in parallel

• No slave lag or integrity issues

• Automatic node provisioning

Percona XtraDB Cluster 5.7
• Engineering within Percona

• Load balancing with ProxySQL (bundled)

• Integration with Percona Monitoring &
Management (PMM)

• Benefits of all the MySQL 5.7 feature-set

Group replication
• Virtually fully synchronous replication (update everywhere), self-
healing, with elasticity, redundancy

• Single primary mode supported

• MySQL InnoDB Cluster - a combination of group replication, Router,
to make magic!

• Recent blogs:

• https://www.percona.com/blog/2017/02/24/battle-for-synchronous-
replication-in-mysql-galera-vs-group-replication/

• https://www.percona.com/blog/2017/02/15/group-replication-
shipped-early/

MySQL NDBCLUSTER
• 3 types of nodes: SQL, data and management

• MySQL node provides interface to data. Alternate API’s available:
LDAP, memcached, native NDBAPI, node.js

• Data nodes (NDB storage)

• different to InnoDB

• transactions synchronously written to 2 nodes (or more) - replicas

• transparent sharding: partitions = data nodes/replicas

• automatic node provisioning, online re-partitioning

• High performance: 1 billion updates / minute

Summary of Replication Performance
• SAN has "some" latency overhead compared to local disk. Can be
great for throughput.

• DRBD = potentially 50% performance penalty

• Replication, when implemented correctly, has no performance
penalty

• But MySQL replication with disk bound data set has single-
threaded issues!

• Semi-sync is poorer on WAN compared to async

• Galera & NDB provide read/write scale-out, thus more performance

Handling failure
• How do we find out about failure?

• Polling, monitoring, alerts...

• Error returned to and handled in client side

• What should we do about it?

• Direct requests to the spare nodes (or DCs)

• How to protect data integrity?

• Master-slave is unidirectional: Must ensure there is only one master at all
times.

• DRBD and SAN have cold-standby: Must mount disks and start mysqld.

• In all cases must ensure that 2 disconnected replicas cannot both commit
independently. (split brain)

Frameworks to handle failure
• MySQL-MMM

• Severalnines ClusterControl

• Orchestrator

• MySQL MHA

• Percona Replication Manager


• 5.6: mysqlfailover, mysqlrpladmin

• Replication Manager

MySQL-MMM
• You have to setup all nodes and replication manually

• MMM gives Monitoring + Automated and manual failover on top

• Architecture consists of Monitor and Agents

• Typical topology:

• 2 master nodes

• Read slaves replicate from each master

• If a master dies, all slaves connected to it are stale

• http://mysql-mmm.org/

Severalnines ClusterControl
• Started as automated deployment of MySQL NDB Cluster

• now: 4 node cluster up and running in 5 min!

• Now supports

• MySQL replication and Galera

• Semi-sync replication

• Automated failover

• Manual failovers, status check, start & stop of node, replication, full cluster... from
single command line.

• Monitoring

• Topology: Pair of semi-sync masters, additional read-only slaves

• Can move slaves to new master

• http://severalnines.com/

ClusterControl II
• Handles deployment: on-premise, EC2, or
hybrid (Rackspace, etc.)

• Adding HAProxy as a Galera load balancer

• Hot backups, online software upgrades

• Workload simulation

• Monitoring (real-time), health reports

Orchestrator
• Reads replication topologies, keeps state,
continuous polling

• Modify your topology — move slaves
around

• Nice GUI, JSON API, CLI
http://pmmdemo.percona.com/
orchestrator/web/clusters

MySQL MHA
• Like MMM, specialized solution for MySQL replication

• Developed by Yoshinori Matsunobu at DeNA

• Automated and manual failover options

• Topology: 1 master, many slaves

• Choose new master by comparing slave binlog
positions

• Can be used in conjunction with other solutions

• http://code.google.com/p/mysql-master-ha/

Cluster suites
• Heartbeat, Pacemaker, Red Hat Cluster Suite

• Generic, can be used to cluster any server
daemon

• Usually used in conjunction with Shared Disk or
Replicated Disk solutions (preferred)

• Can be used with replication.

• Robust, Node Fencing / STONITH

Pacemaker
• Heartbeat, Corosync, Pacemaker

• Resource Agents, Percona-PRM

• Percona Replication Manager - cluster, geographical
disaster recovery options

• Pacemaker agent specialised on MySQL replication

• https://github.com/percona/percona-pacemaker-agents/

• Pacemaker Resource Agents 3.9.3+ include Percona
Replication Manager (PRM)

VM based failover
• VMWare, Oracle VM, etc can migrate /
failover the entire VM guest

• This isn’t the focus of the talk

Load Balancers for multi-master clusters
• Synchronous multi-master clusters like
Galera require load balancers

• HAProxy

• Galera Load Balancer (GLB)

• MaxScale

• ProxySQL

What is a proxy?
• Lightweight application between the
MySQL clients and the server

• Man-in-the-middle between client/server

• Communicate with one or more clients/
servers

MySQL Proxy - ten years ago!
• The first proxy, which had an embedded
Lua interpreter

• It is used in MySQL Enterprise Monitor

• Lua was flexible to allow you to rewrite
queries, add statements, filter, etc.

• 2007-2014

MariaDB MaxScale 1.0…1.4.x
• GA January 2015

• The “Swiss Army Knife” - pluggable router with an
extensible architecture

• Logging, writing to other backends (besides MySQL),
firewall filter, routing via hints, query rewriting

• Binlog Server - popularised by booking.com to not have
intermediate masters

• Popular use case: sitting in front of a 3-node Galera Cluster

MariaDB MaxScale ecosystem
• First known plugin: Kafka backend written by
Yves Trudeau

• https://www.percona.com/blog/2015/06/08/maxscale-a-new-tool-to-solve-your-
mysql-scalability-problems/

• First known credible fork: AirBnB MaxScale 1.3

•connection pooling (not 1:1, multiplexed N:M,
N>M connections), requests throttling, denylist
query rejection, monitoring

MariaDB MaxScale 2.0
• Same Github repository, unlinked against
MySQL client libraries (replaced with
SQLite), CDC to Kafka, binlog events to
Avro/JSON

• License change from GPLv2 to Business
Source License (BSL)

MariaDB MaxScale 2.1
• Dynamic
(re)configuration

• Performance

MySQL Router - GPLv2
• GA October 2015

• Transparent routing between applications and any
backend MySQL servers

• Pluggable architecture via the MySQL Harness

• Failover, load balancing

• This is how you manage MySQL InnoDB Cluster with
mysqlsh - https://www.youtube.com/watch?
v=JWy7ZLXxtZ4

ProxySQL - GPLv3
• Stable December 2015

• ProxySQL - included with Percona
XtraDB Cluster 5.7, proxysql-
admin tool available for PXC
configurations

• Improve database operations,
understand and solve
performance issues, HA to DB
topology

• Connection Pooling & Multiplexing

• Read/Write Split and Sharding

• Seamless failover (including query
rerouting), load balancing

• Query caching

• Query rewriting

• Query blocking (database aware
firewall)

• Query mirroring (cache warming)

• Query throttling and timeouts

• Runtime reconfigurable

• Monitoring built-in

Comparison
• http://www.proxysql.com/compare

ProxySQL missing features from MariaDB
MaxScale
• Front-end SSL encryption (client -> SSL -> proxy
-> application) - issue#891

• Binlog router

• Streaming binlogs to Kafka

• use Maxwell’s Daemon: http://maxwells-
daemon.io/

• Binlogs to Avro

ProxySQL Resources
• Marco Tusa: https://tusacentral.net/joomla/
index.php/mysql-blogs

• SeveralNines: https://severalnines.com/blog?
keywords=%23proxysql

• Pythian: https://www.pythian.com/blog/tag/proxysql/

• Percona: https://www.percona.com/blog/category/
proxysql/

Health of these projects
• MariaDB MaxScale: 142 watchers, 670
stars, 199 forks, 19 contributors

• MySQL Router: 25 watchers, 47 stars, 30
forks, 8 contributors

• ProxySQL: 119 watchers, 951 stars, 145
forks, 25 contributors

What do you use?
• MySQL Router is clearly very interesting going forward,
especially with the advent of the MySQL InnoDB Cluster

• ProxySQL is a great choice today, has wide use, also
has Percona Monitoring & Management (PMM)
integration

• MariaDB MaxScale pre-2.0 if you really need a binlog
router

• Server you’re using?

Resources
• ProxySQL: https://groups.google.com/
forum/#!forum/proxysql

• MariaDB MaxScale: https://
groups.google.com/forum/#!forum/maxscale

• MySQL Router: https://forums.mysql.com/
list.php?146

JDBC/PHP drivers
• JDBC - multi-host failover feature (just
specify master/slave hosts in the properties)

• true for MariaDB Java Connector too

• PHP handles this too - mysqlnd_ms

• Can handle read-write splitting, round robin
or random host selection, and more

Clustering: solution or part of problem?
• "Causes of Downtime in Production MySQL Servers"
whitepaper, Baron Schwartz, VividCortex

• Human error

• SAN

• Clustering framework + SAN = more problems

• Galera is replication based, has no false positives as there’s
no “failover” moment, you don’t need a clustering
framework (JDBC or PHP can load balance), and is
relatively elegant overall

InnoDB based?
• Use InnoDB, continue using InnoDB,
know workarounds to InnoDB

• All solutions but NDB are InnoDB. NDB is
great for telco/session management for
high bandwidth sites, but setup,
maintenance, etc. is complex

Replication type
• Competence choices

• Replication: MySQL DBA
manages

• DRBD: Linux admin manages

• SAN: requires domain controller

• Operations

• DRBD (disk level) = cold
standby = longer failover

• Replication = hot standby =
shorter failover

• GTID helps tremendously

• Performance

• SAN has higher latency than
local disk

• DRBD has higher latency than
local disk

• Replication has little overhead

• Redundancy

• Shared disk = SPoF

• Shared nothing = redundant

SBR vs RBR? Async vs sync?
• row based: deterministic

• statement based: dangerous

• GTID: easier setup & failover of complex topologies

• async: data loss in failover

• sync: best

• semi-sync: best compromise

• multi-threaded slaves: scalability (hello 5.6+, Tungsten)

Conclusions for choice
• Simpler is better

• MySQL replication > DRBD > SAN

• Sync replication = no data loss

• Async replication = no latency (WAN)

• Sync multi-master = no failover required

• Multi-threaded slaves help in disk-bound workloads

• GTID increases operational usability

• Galera provides all this with good performance & stability

Why MHA needs coverage
• High Performance MySQL, 3rd Edition

• Published: March 16 2012

Where did MHA come from?
• DeNA won 2011 MySQL
Community Contributor of the
Year (April 2011)

• MHA came in about 3Q/2011

• Written by Yoshinori Matsunobu,
Oracle ACE Director

What is MHA?
• MHA for MySQL: Master High Availability
Manager tools for MySQL

• Goal: automating master failover & slave
promotion with minimal downtime

• Set of Perl scripts

• http://code.google.com/p/mysql-master-ha/

Why MHA?
• Automating monitoring of your replication topology for master failover

• Scheduled online master switching to a different host for online
maintenance

• Switch back after OPTIMIZE/ALTER table, software or hardware
upgrade

• Schema changes without stopping services

• pt-online-schema-change, oak-online-alter-table, Facebook OSC,
Github gh-ost

• Interactive/non-interactive master failover (just for failover, with
detection of master failure + VIP takeover to Pacemaker)

Why is master failover hard?
• When master fails, no more writes till
failover complete

• MySQL replication is asynchronous
(MHA works with async + semi-sync
replication)

• slave2 is latest, slave1+3 have missing
events, MHA does:

• copy id=10 from master if possible

• apply all missing events

MHA: Typical scenario
• Monitor replication topology

• If failure detected on master, immediately switch to a
candidate master or the most current slave to
become new master

• MHA must fail to connect to master server three
times

• CHANGE MASTER for all slaves to new master

• Print (stderr)/email report, stop monitoring

Typical timeline
• Usually no more than 10-30 seconds

• 0-10s: Master failover detected in around 10
seconds

• (optional) check connectivity via secondary network

• (optional) 10-20s: 10 seconds to power off master

• 10-20s: apply differential relay logs to new master

• Practice: 4s @ DeNA, usually less than 10s

How does MHA work?
• Save binlog events from crashed master

• Identify latest slave

• Apply differential relay log to other slaves

• Apply saved binlog events from master

• Promote a slave to new master

• Make other slaves replicate from new master

Getting Started
• MHA requires no changes to
your application

• You are of course to write to a
virtual IP (VIP) for your master

• MHA does not build
replication environments for
you - that’s DIY

MHA Node
• Download mha4mysql-node & install this
on all machines: master, slaves, monitor

• Packages (DEB, RPM) available

• Manually, make sure you have
DBD::mysql & ensure it knows the path
of your MySQL

MHA Manager server
• Monitor server doesn’t have to be powerful
at all, just remain up

• This is a single-point-of-failure so monitor
the manager server where MHA Manager
gets installed

• If MHA Manager isn’t running, your app still
runs, but automated failover is now disabled

MHA Manager
• You must install mha4mysql-node then
mha4mysql-manager

• Manager server has many Perl dependencies:
DBD::mysql, Config::Tiny,
Log::Dispatch, Parallel::ForkManager,
Time::HiRes
• Package management fixes dependencies, else use
CPAN

Configuring MHA
• Application configuration file: see
samples/conf/app1.cnf

• Place this in /etc/MHA/app1.cnf

• Global configuration file: see /etc/MHA/
masterha_default.cnf (see samples/
conf/masterha_default.cnf)

app1.cnf
[server default]
manager_workdir=/var/log/masterha/app1
manager_log=/var/log/masterha/app1/manager.log
[server1]
hostname=host1
[server2]
hostname=host2
candidate_master=1
[server3]
hostname=host3
[server4]
hostname=host4
no_master=1
no need to specify
master as
MHA auto-detects this
sets priority, but doesn’t necessarily mean it gets
promoted
as a default (say its too far behind replication).
But maybe this is a more powerful box, or has a
better setup
will never be the master. RAID0 instead
of RAID1+0?
Slave is in another data centre?

masterha_default.cnf
[server default]
user=root
password=rootpass
ssh_user=root
master_binlog_dir= /var/lib/mysql,/var/log/mysql
remote_workdir=/data/log/masterha
ping_interval=3
# secondary_check_script=masterha_secondary_check -s
remote_host1 -s remote_host2
# master_ip_failover_script= /script/masterha/master_ip_failover
# shutdown_script= /script/masterha/power_manager
# report_script= /script/masterha/send_report
# master_ip_online_change_script= /script/masterha/
master_ip_online_change
116
check master activity from
manager->remote_hostN->
master (multiple hosts to
ensure its not a network issue)
STONITH

MHA uses SSH
• MHA uses SSH actively; passphraseless login

• In theory, only require Manager SSH to all
nodes

• However, remember
masterha_secondary_check
•masterha_check_ssh --conf=/etc/MHA/
app1.cnf

Check replication
•masterha_check_repl --conf=/etc/MHA/
app1.cnf
• If you don’t see MySQL Replication Health is OK,
MHA will fail

• Common errors? Master binlog in different position,
read privileges on binary/relay log not granted,
using multi-master replication w/o read-only=1 set
(only 1 writable master allowed)

MHA Manager
•masterha_manager --conf=/etc/MHA/
app1.cnf
• Logs are printed to stderr by default, set
manager_log

• Recommended running with nohup, or daemontools
(preferred in production)

• http://code.google.com/p/mysql-master-ha/wiki/
Runnning_Background

So, the MHA Playbook
• Install MHA node, MHA manager

•masterha_check_ssh --conf=/etc/
app1.cnf
•masterha_check_repl --conf=/etc/
app1.cnf
•masterha_manager --conf=/etc/app1.cnf
• That’s it!

master_ip_failover_script
• Pacemaker can monitor & takeover VIP if required

• Can use a catalog database

• map between application name + writer/reader IPs

• Shared VIP is easy to implement with minimal
changes to master_ip_failover itself (however,
use shutdown_script to power off machine)

master_ip_online_change
• Similar to master_ip_failover script, but
used for online maintenance

•masterha_master_switch --
master_state=alive
• MHA executes FLUSH TABLES WITH
READ LOCK after the writing freeze

Test the failover
•masterha_check_status --conf=/etc/
MHA/app1.cnf
• Kill MySQL (kill -9, shutdown server, kernel
panic)

• MHA should go thru failover (stderr)

• parse the log as well

• Upon completion, it stops running

masterha_master_switch
• Manual failover

•--master_state=dead
• Scheduled online master switchover

• Great for upgrades to server, etc.

•masterha_master_switch --
master_state=alive --conf=/etc/MHA/
app1.cnf --new_master_host=host2

Handling VIPs
my $vip = ‘192.168.0.1/24”;
my $interface = “0”;
my $ssh_start_vip = “sudo /sbin/ifconfig eth0:$key $vip”;
my $ssh_stop_vip = “sudo /sbin/ifconfig eth0:$key down”;
...
sub start_vip() {
`ssh $ssh_user@$new_master_host ” $ssh_start_vip ”`; }
sub stop_vip() {
`ssh $ssh_user@$orig_master_host ” $ssh_stop_vip ”`; }

Integration with other HA solutions
• Pacemaker

• on RHEL6, you need some HA add-on, just use the CentOS
packages

• /etc/ha.d/haresources to configure VIP

•`masterha_master_switch --master_state=dead
--interactive=0 --wait_on_failover_error=0 --
dead_master_host=host1 --
new_master_host=host2`
• Corosync + Pacemaker works well

What about replication delay?
• By default, MHA checks to see if slave is
behind master. By more than 100MB, it is
never a candidate master

• If you have candidate_master=1 set,
consider setting check_repl_delay=0
• You can integrate it with pt-heartbeat from
Percona Toolkit

MHA deployment tips
• You really should install this as root

• SSH needs to work across all hosts

• If you don’t want plaintext passwords in config files, use
init_conf_load_script

• Each monitor can monitor multiple MHA pairs (hence app1, app2, etc.)

• You can have a standby master, make sure its read-only

• By default, master1->master2->slave3 doesn’t work

• MHA manages master1->master2 without issue

• Use multi_tier_slave=1 option

• Make sure replication user exists on candidate master too!

Consul
• Service discovery & configuration.
Distributed, highly available, data centre
aware

• Comes with its own built-in DNS server,
KV storage with HTTP API

• Raft Consensus Algorithm

VIPs vs Consul
• Previously, you handled VIPs and had to write
to master_ip_online_change/master_ip_failover

• system(“curl -X PUT -d ‘{”Node”:”master”}’
localhost:8500/v1/catalog/deregister);

• system(“curl -X PUT -d ‘{”Node”:”master”,
”Address”:”$new_master_host”}’ localhost:
8500/v1/catalog/register);

mysqlfailover
• mysqlfailover from mysql-utilities using GTID’s in 5.6

• target topology: 1 master, n-slaves

• enable: log-slave-updates, report-host, report-port, master-info-table=TABLE

• modes: elect (choose candidate from list), auto (default), fail

• --discover-slaves-login for topology discovery

• monitoring node: SPoF

• Errant transactions prevent failover!

• Restart node? Rejoins replication topology, as a slave.

MariaDB 10
• New slave: SET GLOBAL GTID_SLAVE_POS = BINLOG_GTID_POS("masterbin.
00024", 1600); CHANGE MASTER TO master_host="10.2.3.4",
master_use_gtid=slave_pos; START SLAVE;

• use GTID: STOP SLAVE 
CHANGE MASTER TO master_use_gtid=current_pos; START SLAVE;

• Change master: STOP SLAVE 
CHANGE MASTER TO master_host="10.2.3.5"; START SLAVE;

Where is MHA used
• DeNA

• Premaccess (Swiss HA hosting company)

• Ireland’s national TV & radio service

• Jetair Belgium (MHA + MariaDB!)

• Samsung

• SK Group

• DAPA

MHA 0.56 is current
• Major release: MHA 0.56 April 1 2014
(0.55: December 12 2012)

• http://code.google.com/p/mysql-master-
ha/wiki/ReleaseNotes

MHA 0.56
• 5.6 GTID: GTID + auto position enabled? Failover with GTID SQL syntax not
relay log failover

• MariaDB 10+ doesn’t work

• MySQL 5.6 support for checksum in binlog events + multi-threaded slaves

• mysqlbinlog and mysql in custom locations (configurable clients)

• binlog streaming server supported

MHA 0.56
• ping_type = INSERT (for master connectivity checks - assuming master
isn’t accepting writes)

Replication Manager
• Support for MariaDB Server GTIDs, MySQL and Percona
Server

• Single, portable 12MB binary

• Interactive GTID monitoring

• Supports failover or switchover based on requests

• Topology detection

• Health checks

• GUI! - https://github.com/tanji/replication-manager

Is fully automated failover a good idea?
• False alarms

• Can cause short downtime, restarting all write connections

• Repeated failover

• Problem not fixed? Master overloaded?

• MHA ensures a failover doesn’t happen within 8h, unless --last_failover_minute=n is
set

• Data loss

• id=103 is latest, relay logs are at id=101, loss

• group commit means sync_binlog=1, innodb_flush_log_at_trx_commit=1 can be
enabled! (just wait for master to recover)

• Split brain

• sometimes poweroff takes a long time

Video resources
• Yoshinori Matsunobu talking about High Availability &
MHA at Oracle MySQL day

• http://www.youtube.com/watch?v=CNCALAw3VpU

• Alex Alexander (AccelerationDB) talks about MHA, with
an example of failover, and how it compares to Tungsten

• http://www.youtube.com/watch?v=M9vVZ7jWTgw

• Consul & MHA failover in action

• https://www.youtube.com/watch?v=rA4hyJ-pccU

References
• Design document

• http://www.slideshare.net/matsunobu/automated-master-failover

• Configuration parameters

• http://code.google.com/p/mysql-master-ha/wiki/Parameters

• JetAir MHA use case

• http://www.percona.com/live/mysql-conference-2012/sessions/
case-study-jetair-dramatically-increasing-uptime-mha

• MySQL binary log

• http://dev.mysql.com/doc/internals/en/binary-log.html

Service Level Agreements (SLA)
• AWS - 99.95% in a calendar month

• Rackspace - 99.9% in a calendar month

• Google - 99.95% in a calendar month

• SLAs exclude “scheduled maintenance”

• AWS is 30 minutes/week, so really 99.65%

RDS: Multi-AZ
• Provides enhanced durability (synchronous data
replication)

• Increased availability (automatic failover)

• Warning: can be slow (1-10 mins+)

• Easy GUI administration

• Doesn’t give you another usable “read-replica”
though

External replication
• MySQL 5.6 you can do RDS -> Non-RDS

• enable backup retention, you now have binlog access

• target: exporting data out of RDS

• Replicate into RDS with 5.5.33 or later

• AWS provides stored procedures like mysql.rds_set_external_master
nowadays

High Availability
• Plan for node failures

• Don’t assume node provisioning is quick

• Backup, backup, backup!

• “Bad” nodes exist

• HA is not equal across options

• RDS: DRBD (multi-AZ)

• Google (v2): semi-sync replication

Unsupported features
• AWS MySQL: GTIDs (but MariaDB Server GTIDs work!), InnoDB Cache
Warming (intra-schema parallel replication in 5.7 works - this was an XtraDB
5.6 feature), InnoDB transportable tablespaces, authentication plugins,
password strength plugin, replication filters, semi-sync replication

• AWS MariaDB: Data at Rest Encryption, MariaDB Galera Cluster,
HandlerSocket, Multi-source Replication, Password validation plugin,
simple_password_check, and cracklib_password_check, Replication Filters,
Storage engine-specific object attributes, table and Tablespace Encryption

• Google: UDFs, PERFORMANCE_SCHEMA, LOAD DATA INFILE, INSTALL
PLUGIN, SELECT ... INTO OUTFILE

• mysqlsh?

Can you configure MySQL?
• You don’t access
my.cnf naturally

• In AWS you have
parameter groups
which allow
configuration of
MySQL
source: http://www.mysqlperformanceblog.com/2013/08/21/amazon-rds-with-mysql-5-6-conﬁguration-variables/

Sharding solutions
• Not all data lives in one place

• hash records to partitions

• partition alphabetically? put n-users/
shard? organise by postal codes?

Horizontal vs vertical
192.168.0.1
User
id int(10)
username char(15)
password char(15)
email char(50)
192.168.0.2
User
id int(10)
username char(15)
password char(15)
email char(50)
192.168.0.3
User
id int(10)
username char(15)
password char(15)
email char(50)
192.168.0.1
User
id int(10)
username char(15)
password char(15)
email char(50)
192.168.0.2
UserInfo
login datetime
md5 varchar(32)
guid varchar(32)
Better if INSERT
heavy and there’s
less frequently
changed data

How do you shard?
• Use your own sharding framework

• write it in the language of your choice

• simple hashing algorithm that you can devise yourself

• SPIDER


• Tumblr JetPants

• Google Vitess

SPIDER
• storage engine to vertically partition
tables

Tungsten Replicator (OSS)
• Each transaction tagged with a Shard ID

• controlled in a file: shard.list, exposed via
JMX MBean API

• primary use? geographic replication

• in application, requires changes to use
the API to specify shards used

Tumblr JetPants
• clone replicas, rebalance shards, master
promotions (can also use MHA for master
promotions)

• Ruby library, range-based sharding scheme

• https://github.com/tumblr/jetpants

• Uses MariaDB as an aggregator node (multi-
source replication)

Google (YouTube) vitess
• Servers & tools to scale MySQL for web written in Go

• Has MariaDB Server & MySQL support

• DML annotation, connection pooling, shard management, workflow
management, zero downtime restarts

• Become extremely easy to use: http://vitess.io/ (with the help of
Kubernetes)

Conclusion
• MySQL replication is amazing if you know it (and
monitor it) well enough

• Large sites run just fine with semi-sync + tooling for
automated failover

• Galera Cluster is great for virtually synchronous
replication

• Don’t forget the need for a load balancer: ProxySQL
is nifty

At Percona, we care about your High
Availability
• Percona XtraDB Cluster 5.7 with support for
ProxySQL and Percona Monitoring & Management
(PMM)

• Percona Monitoring & Management (PMM) with
Orchestrator

• Percona Toolkit

• Percona Server for MySQL 5.7

• Percona XtraBackup

Blogs
• http://jfg-mysql.blogspot.com/

• http://planet.mysql.com/
• http://www.percona.com/blog/

Tomorrow
• 10:45-11:20 - Meet the Experts - O’Reilly
Booth, Table 3

• 14:10-14:50 - Capacity planning for your
data stores (Buckingham Room, Palace
Suite — here)

Slides
• http://bit.ly/MySQLHAVelocity

• Exercises as well

Q&A / Thanks
colin.charles@percona.com / byte@bytebot.net
@bytebot on Twitter | http://bytebot.net/blog/

Best practices for MySQL High Availability Tutorial

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (20)

Similaire à Best practices for MySQL High Availability Tutorial

Similaire à Best practices for MySQL High Availability Tutorial (20)

Plus de Colin Charles

Plus de Colin Charles (20)

Dernier

Dernier (20)

Best practices for MySQL High Availability Tutorial