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Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Tuesday, October 20, 2015 Oracle Confidential Restricted MySQL 5.7 Replication Update Ted Wennmark ([email protected]) MySQL EMEA Techtour 1 The Latest and Greatest MySQL 5.7 Replication Features and More!
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MySQL 5.7 Replication News

Apr 13, 2017

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Page 1: MySQL 5.7 Replication News

Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Tuesday, October 20, 2015 Oracle Confidential – Restricted

MySQL 5.7 Replication Update

Ted Wennmark ([email protected]) MySQL EMEA Techtour

1

The Latest and Greatest MySQL 5.7 Replication Features and More!

Page 2: MySQL 5.7 Replication News

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.

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Program Agenda

Background

Replication Features in MySQL 5.7

News From The Lab!

The Road Ahead!

1

2

3

4

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Background 1

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Background: Replication Components

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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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 transactions is split into groups of events.

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

Tuesday, October 20, 2015

Layout of a Binary Log File

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

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M S

S

S

S

M

write clients read clients read clients

write clients

More reads? More

slaves!

Read scale-out

Background: What is Replication Used For?

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M M?

write clients write clients

More writes? More

Masters?

M?

M?

MySQL Fabric helps sharding your data with MySQL...

What about write scale-out?

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C

B

A

C

B

A Crash

C

B

A

B is the new master

Uh Oh! Whew!

Redundancy: If master crashes, promote slave to master

Background: What is Replication Used For?

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M

S

write clients

business intelligent client applications reporting client applications big queries client applications

On-line Backup and Reporting

Background: What is Replication Used For?

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C B

B A A C

Image from www.ginkgomaps.com

Background: What is Replication Used For?

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Replication Features in MySQL 5.7 Usability / Online

2

Tuesday, October 20, 2015

2.1

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Online Reconfiguration of Global Transaction Identifiers

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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Online Reconfiguration of Global Transaction Identifiers

• 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.

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Online Reconfiguration of Global Transaction Identifiers

• 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

Tuesday, October 20, 2015

( SET @@GLOBAL.ENFORCE_GTID_CONSISTENCY = WARN | ON) 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 lag 4) SET @@GLOBAL.GTID_MODE = ON; (on every server)

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Online Reconfiguration of Replication Filters

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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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.

Tuesday, October 20, 2015

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

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Online Switch/Fail-over to a new Master

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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

Online Switch/Fail-over to a new Master

Tuesday, October 20, 2015

C

B

A

C

B

A Crash

C

B

A

B is the new master

Uh Oh! Whew!

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

Online Switch/Fail-over to a new Master

Tuesday, October 20, 2015

C

B

A

C

B

A Crash

C

B

A Uh Oh! Whew!

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

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Online Switch/Fail-over to a new Master

• 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:

Tuesday, October 20, 2015

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;

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Improved Replication Monitoring

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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DBA

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Improved Replication Monitoring

• 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

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Improved Replication Monitoring

Tuesday, October 20, 2015

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)

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Replication Features in MySQL 5.7 Usability / Online Performance

2

Tuesday, October 20, 2015

2.1

2.2

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Improved Applier Throughput – Locking-based Parallelism

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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Improved Applier Throughput – Locking-based Parallelism

Tuesday, October 20, 2015

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

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Improved Applier Throughput – Locking-based Parallelism

• 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.

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Improved Applier Throughput – Locking-based Parallelism

• T2 is scheduled to execute together with T1.

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

Tuesday, October 20, 2015

T1

T2

T3

Time

Commit Finishes

Last Lock Acquired

Concurrent Execution History on the Master

Execution

Commit

T1 and T2 execute in parallel on the slave.

T2 and T3 execute in parallel on the slave.

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Improved Applier Throughput – Locking-based Parallelism

• 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.

Tuesday, October 20, 2015

mysql> SET slave_parallel_type= [logical_clock|database]

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Improved User Threads-Sender Threads Synchronization

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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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.

Tuesday, October 20, 2015

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+

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Faster Semi-sync Replication – ACK Receiver Thread

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

ACK Receiver thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

Sender thread

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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

Tuesday, October 20, 2015

mysql> SET GLOBAL rpl_semi_master_enabled= ON

mysql> SET GLOBAL rpl_semi_master_enabled= OFF

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Replication Features in MySQL 5.7 Usability / Online Performance Improved reliability

2

Tuesday, October 20, 2015

2.1

2.2

2.3

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Loss-less Semi-sync Replication

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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Loss-less Semi-sync Replication

Tuesday, October 20, 2015

Master

Slave

T1: INSERT INTO t1 VALUES (1000)

ACK

Time

T2: SELECT * FROM t1; empty set

execute prepare binlog

relay log

commit execute

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Loss-less Semi-sync Replication

• 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.

Tuesday, October 20, 2015

mysql> SET rpl_semi_sync_master_wait_point= [AFTER_SYNC|AFTER_COMMIT]

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Semi-sync Replication – Wait for Multiple ACKs

Tuesday, October 20, 2015

Insert...

Insert...

B

binary log

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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Semi-sync Replication – Wait for Multiple ACKs

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

• Dynamically settable:

Tuesday, October 20, 2015

mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= N

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Semi-sync Replication – Wait for Multiple ACKs

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

• Dynamically settable:

Tuesday, October 20, 2015

mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= N

Master

Slave 2

T1: COMMIT

ACK

Slave 1 ACK

T1: COMMIT succeeds

mysql> SET GLOBAL rpl_semi_sync_master_wait_for_slave_count= 2

Slave 3

Time

relay log

relay log

relay log

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ACK

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Replication Features in MySQL 5.7 Usability / Online Performance Improved reliability Flexibility

2

Tuesday, October 20, 2015

2.1

2.2

2.3

2.4

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Storing Global Transaction Identifiers in a Table

Tuesday, October 20, 2015

Insert...

B

Insert...

relay log

Insert...

A

binary log

Client

Sender thread

Receiver thread

Applier Threads

Receiver

Meta-data Update

Applier Meta-data

Update

Network

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Storing Global Transaction Identifiers in a Table

• 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

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Multi-Source Replication

Tuesday, October 20, 2015

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.

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Multi-Source Replication II

• A server (slave) can replicate from multiple sources (masters).

• Multiple channels (channel: connection thread, relay log, 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 applier.

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

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Multi-Source Replication III

• 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).

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The Road Ahead! 4

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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

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

– Continue to improve semi-sync

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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

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