Replication featuresinmysql5.7andbeyond osi-final

Copyright © 2015, Oracle and/or its affiliates. All rights reserved. |Friday, November 20, 2015 OSI - Bangalore

An Overview of the New Replication Features in MySQL 5.7 and Beyond

Sujatha Sivakumar ([email protected])Software Engineer, MySQL Server Sustaining Team

mailto:[email protected]

Copyright © 2015, Oracle and/or its affiliates. All rights reserved. |

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Friday, November 20, 2015 OSI - Bangalore


Program Agenda



Program Agenda

Background

Celebrating MySQL 5.7 Replication

The New Replication Features in MySQL 5.7

Development Sneak Peek

Roadmap

Summary

1

2

3

4

5


6


Celebrating MySQL 5.7 ReplicationGA ready!

1



Thank You!

• After two and half years baking the team is very happy to share the outcome with you!

– We did it for you!

• Thank you for being part of it!

• Enjoy MySQL 5.7, in particular the replication features! ;)



Background2



Background: Replication Components

Friday, November 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore


Background: Replication Components

• Binary Log

– File based logical log that records the changes on the master.

– Statement or Row based format (may be intermixed).

– Each transaction is split into groups of events.

– Control events: Rotate, Format Description, Gtid, ...


Layout of a Binary Log File

BEGIN ...E1 E2 COMMIT BEGIN ...E1 E2 COMMIT

OSI - Bangalore


M S

S

S

S

M

write clients read clientsread clients

write clients

Morereads?More

slaves!

Read scale-out

Background: What is Replication Used For?



M M?

write clients write clients

Morewrites?More

Masters?

M?

M?

MySQL Fabric helps sharding your data with MySQL...

What about write scale-out?



C

B

A

C

B

ACrash

C

B

A

B is thenew master

Uh Oh! Whew!

Redundancy: If master crashes, promote slave to master




M

S

write clients

business intelligent client applicationsreporting client applicationsbig queries client applications

On-line Backup and Reporting




CB

BAAC

Image fromwww.ginkgomaps.com




The New Replication Features in MySQL 5.73



The New Replication Features in MySQL 5.7Usability / Online

3


3.1

OSI - Bangalore


Online Reconfiguration of Global Transaction Identifiers


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore



• The procedure is online.

– Both reads and writes are allowed while global transaction identifiers are being turned on or off in the entire replication cluster.

• No need to synchronize servers, ever.

• No need to restart servers.

• No need to change replication topology.

– Works in arbitrary topologies.

• Should anything happen in the middle of the procedure, you can always roll back.




• Over simplified procedure to turn on global transaction identifiers:

• Details: http://dev.mysql.com/doc/refman/5.7/en/replication-mode-change-online-enable-gtids.html


1) SET @@GLOBAL.GTID_MODE = OFF_PERMISSIVE; (on every server)2) SET @@GLOBAL.GTID_MODE = ON_PERMISSIVE; (on every server)3) wait for a bit longer than your replication lag4) SET @@GLOBAL.GTID_MODE = ON; (on every server)

OSI - Bangalore

http://dev.mysql.com/doc/refman/5.7/en/replication-mode-change-online-enable-gtids.html













Online Reconfiguration of Replication Filters


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore


Online Reconfiguration of Replication Filters

• Change Slave's Replication Filters dynamically.

– No need to stop and restart the slave server for setting new replication filtering rules.

– All slave filters are supported.

– Values can be input in various character sets.


mysql> CHANGE REPLICATION FILTER REPLICATE_DO_DB= (db1, db2)

OSI - Bangalore


Online Reconfiguration of Replication Receiver/Applier


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore


Change master from A to B without stopping the applier threads.



C

B

A

C

B

ACrash

C

B

A

B is thenew master

Uh Oh! Whew!

OSI - Bangalore


Change master from A to B without stopping the applier threads.



C

B

A

C

B

ACrash

C

B

AUh Oh! Whew!

DBA did not need C to stop applying its relay log to change C's master from A to B.

OSI - Bangalore



• Enables more online operations during fail-over:

• Stopping, changing master and restarting the receiver thread are all done while the applier thread is running.

• Change applier properties while the receiver thread is working:


mysql> STOP SLAVE IO_THREAD;

mysql> CHANGE MASTER TO MASTER_HOST='master2', …;

mysql> START SLAVE IO_THREAD;

mysql> STOP SLAVE SQL_THREAD;

mysql> CHANGE MASTER TO MASTER_DELAY=3600, …;

mysql> START SLAVE SQL_THREAD;

OSI - Bangalore


Improved Replication Monitoring


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore

DBA



• Monitoring through SQL.

• Logically unrelated information into different places.

• Extensible, can be adapted to new features.

• More accurate and consistent identifier names.

• Master-slave, Multi-source, Group Replication support.

Performance Schema Replication Tables





Connection Configuration

Connection Status

Applier Configuration

ApplierStatus

(Slave) Receiver and Applier Status

Applier / CoordinatorStatus

WorkersStatus

OSI - Bangalore




mysql> select * from performance_schema.replication_applier_status_by_worker\G

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

CHANNEL_NAME:

WORKER_ID: 1

THREAD_ID: 35

SERVICE_STATE: ON

LAST_SEEN_TRANSACTION: 4ba0eb86-63c3-11e4-92ba-28b2bd168d07:2368

LAST_ERROR_NUMBER: 0

LAST_ERROR_MESSAGE:

LAST_ERROR_TIMESTAMP: 0000-00-00 00:00:00

*************************** 2. row ***************************

CHANNEL_NAME:

WORKER_ID: 2

THREAD_ID: 36

SERVICE_STATE: ON

LAST_SEEN_TRANSACTION: 4ba0eb86-63c3-11e4-92ba-28b2bd168d07:2367

LAST_ERROR_NUMBER: 0

LAST_ERROR_MESSAGE:

LAST_ERROR_TIMESTAMP: 0000-00-00 00:00:00

2 rows in set (0,00 sec)

OSI - Bangalore



Performance

3


3.1

3.2

OSI - Bangalore


Improved Applier Throughput – Locking-based Parallelism


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore




Single Threaded Apply 8 Threads Applier 24 Threads Applier 48 Threads Applier 96 Threads Applier

0%

50%

100%

150%

200%

250%

Fast and Scalable Multi-threaded Replication Applier

(statement-based replication, durable settings, SSD storage)

Sla

ve a

pply

tim

e (

Sysbench R

W o

n t

he m

aste

r w

ith 9

6 t

hre

ads =

100%

)

10X

OSI - Bangalore



• Leverage parallelization information from master execution:

– Concurrent transactions, which have not blocked each other on the master, are marked as non-contending in the binary log.

• Meanwhile, at the slave:

– Non-contending transactions are scheduled in parallel;

– Concurrent transactions commit independently, thus no waiting involved.




• T2 is scheduled to execute together with T1.

• T3 is scheduled to execute as soon as T1 finishes.


T1

T2

T3

Time

Commit Finishes

Last Lock Acquired

Concurrent Execution Historyon the Master

Execution

Commit

T1 and T2 execute inparallel on the slave.

T2 and T3 execute in parallel on the slave.

OSI - Bangalore



• Supports statement-based or row-based formats.

• Scheduling policy controlled through:

– logical_clock - means schedule based on the locking interval timestamps.

– database - the scheduling policy from 5.6 (concurrency control done per database).

• Work to improve slave scalability continues, does not stop here.


mysql> SET slave_parallel_type= [logical_clock|database]

OSI - Bangalore


Improved User Threads-Sender Threads Synchronization


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore


Improved User Threads-Sender Threads Synchronization

• Concurrent reads by the sender thread with ongoing writes from user threads.

– Sender thread does not block user sessions more than necessary.

– Higher throughput for both sender threads and user sessions.


Sender Thread Reads Binary Log User Thread Writes to Binary Log

Sender Thread Reads Binary Log

User Thread Writes to Binary Log

pre 5.7.2

5.7.2+

OSI - Bangalore


Faster Sender Thread


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore




• Send buffer is not allocated and freed every time an event is sent.

• When sender threads require larger send buffer - buffer grows as needed.

• When buffer is larger than needed - buffer shrinks dynamically.

• Together with the sender thread enhancements released on MySQL 5.7.2:

– increases master scalability;

– reduces resource consumption (CPU);

– Master, with dump threads attached, copes better with peak loads.

OSI - Bangalore



• Ad hoc microbenchmark using mysqlslap

• 1M queries, concurrency=200, commit=1

• N slaves attached (fake slaves using remote mysqlbinlogs)

• 48 cores HT / 512 GB RAM / HDD


0

2000

4000

6000

8000

10000

12000

14000

16000

0 1 5 10 20 30 40 50 100

Qp

S

Number of Connected Sender Threads

Master’s Throughput

MySQL 5.6.16 MySQL 5.7.4

OSI - Bangalore


Faster Semi-sync Replication – ACK Receiver Thread


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

ACKReceiverthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

Senderthread

OSI - Bangalore


Faster Semi-sync Replication – ACK Receiver Thread

• Consecutive transactions do not block each other while waiting for ACKs

– Transaction t1 and t2 are sent immediately to the slave by the sender thread

– ACKs are received only by a special thread

– Transaction t2 does not include t1 round trip in its semi-sync overall latency

• Thread starts when semi-sync is activated

• Thread stops when semi-sync is deactivated


mysql> SET GLOBAL rpl_semi_sync_master_enabled= ON

mysql> SET GLOBAL rpl_semi_sync_master_enabled= OFF

OSI - Bangalore


Faster Semi-sync: Durability over the Network


Orange bar percentage shows the throughput gain (orange) when compared to the corresponding blue bar. Blue and stacked bars show throughput ratio computed against the best blue bar.



Performance

Dependability

3


3.1

3.2

3.3

OSI - Bangalore


Loss-less Semi-sync Replication


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore




Master

Slave

T1: INSERT INTO t1 VALUES (1000)

ACK

Time

T2: SELECT * FROM t1; empty set

execute prepare binlog

relay log

commitexecute

OSI - Bangalore



• Master waits for slave's ACK before committing (as opposed to: master waits for slave's ACK after committing).

– Therefore, concurrent transactions do not see changes while this transaction waits for ack.

• Should a master fail, then any transaction that it may have externalized is also persisted on a slave.

• User can choose between the original semi-sync behavior and the new one.


mysql> SET rpl_semi_sync_master_wait_point= [AFTER_SYNC|AFTER_COMMIT]

OSI - Bangalore


Semi-sync Replication – Wait for Multiple ACKs


Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore



• Master does not commit transaction until it receives N ACKs from N slaves.

• Dynamically settable:


mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= N

OSI - Bangalore



• Master does not commit transaction until it receives N ACKs from N slaves.

• Dynamically settable:


mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= N

Master

Slave 2

T1: COMMIT

ACK

Slave 1ACK

T1: COMMITsucceeds

mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= 2

Slave 3

Time

relay log

relay log

relay log

OSI - Bangalore

ACK



Performance

Dependability

Flexibility

3


3.1

3.2

3.3

3.4

OSI - Bangalore


Storing Global Transaction Identifiers in a Table


Insert...

B

Insert...

relay log

Insert...

A

binary log

Client

Senderthread

Receiverthread

ApplierThreads

ReceiverMeta-data

Update

ApplierMeta-data

Update

Network

OSI - Bangalore



• Slaves can use GTIDs with binary logs disabled.

– Slaves that are never candidates to become a master can still use GTIDs for auto positioning.

Use Cases




• GTIDs are saved into a mysql system table (range-compressed).

• GTIDs are inserted into the table as transactions commit.

• A compression thread runs periodically and compresses the table into ranges.

– New global variable controls the period: gtid_executed_compression_period.

Mechanics


CREATE TABLE gtid_executed(

source_uuid CHAR(36) NOT NULL,

interval_start BIGINT NOT NULL,

interval_end BIGINT NOT NULL,

PRIMARY KEY(source_uuid, interval_start)

);

mysql> SET GLOBAL gtid_executed_compression_period= N;(N – number of transactions)

OSI - Bangalore



• Binary Log Enabled

– Store GTID in binary log (transactionally).

– Copy GTID set to table on binary log rotation.

• Binary Log Disabled– Store GTID in table (transactionally).

– New transactions are do not get an automatic GTID assigned.

• Always store GTIDs transactionally.

Mechanics



Multi-Source Replication


S

M M Slave can have more than one master.M M

The need for gathering data in a central server:• Integrated backup;• Complex queries for analytics purposes;• Data HUB for inter-cluster replication.

OSI - Bangalore


Multi-Source Replication• A server (slave) can replicate from multiple sources (masters).

• Multiple channels (channel: receiver thread, relay logs, applier threads) that can be stopped started individually.

• Integrated with Multi-threaded Slave (each channel has its own multi-threaded applier set of threads).

• Integrated with the new P_S tables.

– replication_applier_status_by_coordinator shows multiple entries, one per channel/source coordinator.

– replication_applier_status_by_worker shows multiple entries, multiple entries per channel

– replication_connection_status shows multiple entries, one per connection to different sources.



Multi-Source Replication

• Integrated with GTIDs.

• Integrated with crash-safe tables.

– Progress state is stored in these tables for recoverability purposes.

• Virtually no limit on the number of sources (capped to 256, but can be changed if server binary is rebuilt).

• Able to manage each source separately.




Performance

Dependability

Flexibility

Misc

3


3.1

3.2

3.3

3.4

3.5

OSI - Bangalore


“Smaller”, yet interesting, enhancements!• Multi-threaded applier is able to retry failed transactions.

• Option to make the Multi-threaded applier preserve commit order.

• SSL options for mysqlbinlog tool.

• Rewrite DB rules for the mysqlbinlog tool.

• Function to wait for transactions to be applied, regardless of the replication stream they come from.

• Options to track global transaction identifiers in the return packet of the mysqlprotocol. Useful for tracking GTID session state and enabler for session consistency.

• Support for XA transactions when the binary log is enabled.

• Change in the defaults. E.g., binlog_format=ROW and sync_binlog=1.

• Options to fine tune the binary log group commit procedure.




Performance

Dependability

Flexibility

Misc

Other Components Working with Replication

3


3.1

3.2

3.3

3.4

3.5

OSI - Bangalore

3.6


MySQL Router

• Motivation

– The need for transparent integration with Fabric.• No need to upgrade existing connectors.

• Use Fabric with connectors that do not support it (e.g., PHP, Ruby, Perl, C).

– The need for read-write and read-only automatic routing.• Do not need to know which server is the master.

• Transparent fail-over support for a new master.

• End Result– Generic and versatile framework: MySQL Router.


NEW

M

Router

App

M M

MySQLFabric

GA


MySQL Router

• Highlights

– High Performance

– Plugin Driven Architecture

– Simple to setup, configure and deploy.

• Features

– Connection routing and simple load balancing.

– Seamless fail-over based on Fabric HA Groups.

– Fail-over without Fabric (needs 3rd party tool to handle fail-over itself).


M

Router

App

M M

MySQLFabric

NEWGA


Development Sneak Peek4



MySQL Group Replication Plugin


M M M M M

Replication Group

• Multi-master update everywhere

• Automatic group membership management and failure detection.

• No need for server fail-over.

• Automatic reconfiguration.

• No single point of failure.

• Shared-nothing state machine replication.

• InnoDB compliant. Off-the-shelf hardware friendly.

OSI - Bangalore



• Great technology for deployments where elasticity is a requirement, such as cloud based infrastructures.

– Integrated with the server core through a well defined API.

– It is integrated with GTIDs, row based replication.

– It is integrated with performance schema tables.

– It is elastic and self-healing: adding or removing servers does not need human intervention.



• Strong development cycles and continuous community engagement through regular and frequent releases on labs.mysql.com.



2014-Sep-29Labs release: 0.2.0

2015-Apr-06Labs release: 0.3.0

2014-Aug-06Labs release: 0.4.0

2015-Sep-14Labs release: 0.5.0

Introduces standalone plugin,with its own release cycle!

2015-Oct-26Labs release: 0.6.0

Multi-platform, No need forCorosync.



• With MySQL Group Replication for 5.7.9 we introduce a new group communication engine.

– Corosync is not needed anymore.

– All pieces are integrated and is now easier to build, install and use.

– Plugin now builds on multiple platforms: Linux, Solaris, FreeBSD, OSX and Windows.

– Cloud friendly transport – TCP transport.



Roadmap5



What is Next?

• MySQL Group Replication

– Rapid releases.

– Improve performance, stability and usability.

• MySQL Replication Usability– Instrument even more replication and extend replication P_S tables

– Simpler administrative commands, more online operations

• MySQL Replication Performance– Continue to improve replication stream multi-threaded (slave) applier

– Continue to improve replication stream pipeline performance and efficiency



Summary6



Summary

• Replication feature set in MySQL 5.7 shows many improvements:

– Semi-sync is more flexible and faster.

– Less contention on the binary log.

– Slave is faster and provides an inter-transaction parallelization scheme.

– More online reconfiguration: Global Transaction Identifiers, filters, configuration.

– Improved monitoring.

– Even more flexible replication with multi-source enabling new deployment scenarios.

– Enhancements all over: transaction retries, sequential commits, XA support, new replication functions, security.

• Lab releases provide a sneak peek at what is coming - a new replication plugin and exciting new infrastructure: MySQL Group Replication and MySQL Router.



Where to go from here?

• Packages

– http://dev.mysql.com

– http://labs.mysql.com

• Reference Documentation– http://dev.mysql.com/doc/#manual

• Blogs from the Engineers (news, quirks, technical information and much more)

– http://mysqlhighavailability.com


http://dev.mysql.com/



http://labs.mysql.com/




http://dev.mysql.com/doc/

http://dev.mysql.com/doc/

http://mysqlhighavailability.com/



Other Interesting Presentations From Us …

• Topic: Optimizer Enhancements and JSON Support in MySQL 5.7

Time: 12:30 to 1.15 PM

Speaker: Sree Harsha

• Topic: State of the Dolphin Time: 2.15 to 3.00 PM

Speaker: Sanjay Manwani

• Topic: Security and Performance – out of the box in MySQL 5.7

Time: 3:15 to 4:00 PM

Speaker: Nitin Mehta and Mayank Prasad
