Replication tutorial presentation

MySQL
Replication
Tutorial
Mats Kindahl
Senior Software Engineer
Replication Technology

Lars Thalmann
Development Manager
Replication/Backup

Tutorial Outline
 Terminology and Basic Concepts
 Basic Replication
 Replication for scale-out
 Replication for high-availability
 The binary log
 Statements and transactions
 Cluster Replication

Terminology and
Basic Concepts

MySQL Replication

Why? How?
High availability Snapshots
Fail-over possible Backup
Scale-out mysqlbinlog
Queries on many
servers
mysqldump
Off-site processing Binary log
Do not disturb master Replication
Reporting Point-in-time
recovery

Server

Terminology

Master server Master

Changes data
Keeps log of changes
Replication
Slave server
Ask master for events
Executes events
Slave
Binary log
Log every change
Split into transactional groups

Server
rver

Terminology
Synchronous replication Master

Transactions are not committed
until data is replicated and applied
Provides consistency, but slower
Replication
Provided by MySQL Cluster
Asynchronous replication
Transactions committed
immediately and replicated Slave
No consistency, but faster
Provided by MySQL Server

nlog
/O
QL
y log
sion
mp

Replication system architecture
Master Slave

Session Dump I/O SQL

Binary log Relay log

Binary log (binlog) records all changes
Consists of transactional groups
Used for replication and point-in-time
recovery

nlog
/O
QL
y log
sion
mp

Master Slave



One dump thread per slave
Started on request from slave
Read events from binary log and send to
slave

nlog
/O
QL
y log
sion
mp

Master Slave



I/O thread send dump request to master
I/O thread copies events to relay log
Relay log is a disk-based buffer for events
Relay log should be considered volatile

nlog
/O
QL
y log
sion
mp

Master Slave



SQL thread read events from relay log
SQL thread decodes and applies events to
database

/O
QL
y log
y log
ster

Relay log
I/O info SQL
Slave

Master
info Relay log

● I/O thread and SQL thread each maintain
binlog coordinates
● I/O thread maintain last read (event)
● SQL thread maintain: last executed event
and beginning of last executed group

/O
QL
y log
y log
ster

Relay log
I/O info SQL
Slave

Master
info Relay log

● master.info contain:
Read coordinates: master log name and
master log pos
Connection information:
● host, user, password, port
● SSL keys and certificates

/O
QL
y log
y log
ster

Relay log
I/O info SQL
Slave

Master
info Relay log

● relaylog.info contain:
Group master coordinates:
● Master log name and master log pos
Group relay log coordinates:
● Relay log name and relay log pos

dex
les

The binary log

masterbin.000001 Binary log
masterbin.000002
. masterbin.index
.
. Binary Index
log

File: masterbin.NNNNNN
The actual contents of the binlog
File: masterbin.index
An index file over the files above

A binlog file
Coordinate
master-bin.000001

Format description

CREATE TABLE friends
(user INT, friend INT);
INSERT INTO friends (Log file, Log pos)
VALUES (12,15);

.
.
.
A binlog event

Rotate

Scenario 1: Single slave
Keep master on-line while:
Doing backup
Generating reports
Adding new slaves

Scenario 1: Steps
1.Fix my.cnf file for master and slave
2.Add user and grants on master
3.Take backup of master
4.Bootstrap slave from backup
5.Configure slave
6.Start slave

Step 1: Fix my.cnf

Master my.cnf Slave my.cnf
[mysqld] [mysqld]
tmpdir = /tmp tmpdir = /tmp
language =.../share/english language = .../share/english
pidfile =.../run/master.pid pidfile = .../run/slave.pid
datadir = .../data datadir = .../data
serverid = 1 serverid = 2
port = 12000 port = 12001
logbin = .../log/masterbin socket = /tmp/mysqld.sock
socket = /tmp/master.sock basedir = ...
basedir = ... relaylogindex =...
relaylog = ...

Step 2: Users and grants
Create user on master
Add REPLICATION SLAVE grants

master> CREATE USER 'slave_user'@'slave_host';
master> GRANT REPLICATION SLAVE
> ON *.* TO 'slave_user'@'slave_host'
> IDENTIFIED BY 'slave_password';

Step 3: Backup master
Physical backup (offline)
For example: tar
Logical backup (offline)
mysqldump
On-line backup
InnoDB hot backup
MySQL on-line backup

Step 4: Bootstrap slave
Physical backup
Copy backup image to slave
Untar into database directory
Logical backup
mysql client

Step 5: Configure slave
Use CHANGE MASTER command
MASTER_PORT default is 3306

slave> CHANGE MASTER TO
    >    MASTER_HOST = 'master_host',
    >    MASTER_PORT = 3306,
    >    MASTER_USER = 'slave_user',
    >    MASTER_PASSWORD = 'slave_password';

ster
ave

Step 6: Start slave!

Master

slave> START SLAVE; Slave

Some suggestions
Start the binary log on the master
immediately following the backup.
1.Add user and grants on master
2.Shut down master
3.Edit my.cnf
4.Take backup of master
5.Restart master

Some suggestions, contd.

Deprecated options in my.cnf:
masterhost
masterport
masteruser
masterpassword

Scenario 1: Summary
Configure options for my.cnf:
logbin
serverid
Replication user
GRANT REPLICATION SLAVE
Configure slave
CHANGE MASTER TO
Starting slave
START SLAVE

ckup
port
ster

Scenario 2: Add new slave

Master

Slave Slave

bootstrap

Bootstrap from slave (Backup)
Start from coordinate of Backup
Master does not have to be stopped

Adding a slave
1.Stop existing slave
2.Take note of stop position
3.Backup existing slave
4.Start existing slave
5.Bootstrap new slave:
● Fix my.cnf
● Restore backup
● Configure new slave
6.Start new slave

Step 1: Stop slave
Bring slave off-line

slave1> STOP SLAVE;

Step 2: Note position
Take a note of where slave stopped
We need this when starting new
slave

slave1> SHOW SLAVE STATUS;
              ...
Relay_Master_Log_File: masterbin.000001
              ...
  Exec_Master_Log_Pos: 409

Step 3: Backup slave
Flush tables and lock database
FLUSH TABLES WITH READ LOCK
Take backup
tar zcf slavebackup.tar.gz …
Unlock database
UNLOCK TABLES

Step 4: Start slave
We can now start slave again since:
We have the master position of
the slave
We have a backup corresponding
to that position
slave1> START SLAVE;

Step 5: Bootstrap new slave
Fix my.cnf (use new server-id!)
Install backup
tar xcf slavebackup.tar.gz ...
Configure slave using saved position
slave2> CHANGE MASTER TO
      >     MASTER_HOST = 'master_host',
      >     MASTER_PORT = 3306,
      >     MASTER_USER = 'slave_user',
      >     MASTER_PASSWORD = 'slave_password',
      >     MASTER_LOG_POS = 409,
      >     MASTER_LOG_FILE = 'masterbin.000001';

ckup
port
ster

Step 6: Start new slave
Start new slave!
It will start from the position
corresponding to the backup

Master

slave2> START SLAVE;

Slave Slave

Scenario 2: Summary
Taking a snapshot of a slave
STOP SLAVE
SHOW SLAVE STATUS
UNLOCK TABLES
Starting replication from anywhere
MASTER_LOG_FILE
MASTER_LOG_POS

Scenario 3: Point-in-time
recovery
Binlog for point-in-time recovery
Say: time T
Backup needs to:
Save backup image
Save binlog files
Recover needs to:
Restore backup image
Apply binlog files until T

ckup

Recovery images
2009-04-10 12:00:00
Backup image +
Binlog files =
Recovery image
Saved recovery image
RI-1
Saved recovery
2009-04-11 12:00:00
images can be
archived
Active recovery image

RI-2 Active recovery
image is still
growing

Scenario 3: Backup steps
1.Lock database RI-n
2.Note binlog file and position
SHOW MASTER STATUS
3.Backup server
4.Save previous recovery image
5.Unlock database
UNLOCK TABLES

Saving recovery image
RI-n
We are starting image RI-n
Save away binlogs for image RI-(n-1)
Start: positions for image RI-(n-1)
End: positions for image RI-n
Keep track of active recovery image:
Backup image for RI-n
Positions when image RI-n started

Scenario 3: Recovery steps
1.Check if active recovery image
Last ≤ Target
2.Find correct saved recovery image
Start ≤ Target < End
3.Restore backup image
4.Apply binary logs to date
mysqlbinlog
--start-position=position
--stop-datetime=target
master-bin.000022 ... master-bin.000028

Scenario 3: Summary
Backup:
Note binlog position for each
backup
Archive binlog files with backup
Restore:
Restore backup image
Use mysqlbinlog to “play” binlogs

ster
ave
ndby

Scenario 4: Standby master

Master Standby

Slave

Use slave as standby master
Bring master down for maintenance

Switch over to standby
1. Configure standby master
2. Ensure standby is ahead of slave
3. Stop standby (and bring it offline)
4. Note master and standby position
5. Bring slave to standby position
6. Redirect slave to standby
7. Start slave

Step 1: Configure standby
Configure standby to log replicated
events
logslaveupdates
[mysqld]
...
logslaveupdates

ster
ave
ndby

Step 2: Standby ahead
Slave
Standby have to be
ahead of slave
Standby have to be
“more knowledgeable”
Nothing to replicate
otherwise
Binlog

Master Standby

Step 2: Standby be ahead
Pick the “most knowledgeable”
slave as standby
Do this fandango:
Stop slave
Note master position M
Stop standby
Start standby until M
Wait for standby to reach M
Standby will now have stopped

Step 2: Standby be ahead
Commands for doing this
  slave> STOP SLAVE;
  slave> SHOW SLAVE STATUS;
standby> STOP SLAVE;
standby> START SLAVE UNTIL
      >  MASTER_LOG_FILE = 'masterbin.00032',
      >  MASTER_LOG_POS = 567823;
standby> SELECT
      >  MASTER_POS_WAIT('masterbin.00032',
      >                   567823);

ster
ave
ndby

Step 3: Stop standby
Slave
Stop standby
Slave is already
stopped
Optional: bring
standby off line
FLUSH TABLES
Binlog
WITH READ LOCK

Master Standby

ster
ave
ndby

Step 4: Standby positions
Slave
Master Standby
Standby have two
positions positions positions
Master position
Standby position
Need to match master
Binlog
position to standby
position

Master Standby

Step 4: Master position
Note master position of where
standby stopped
Same as before

standby> SHOW SLAVE STATUS;
              ...
              ...

Step 4: Standby position
Note of last binlogged event
No changes allowed on server!

standby> SHOW MASTER STATUSG
***************** 1. row *****************
            File: standbybin.000047
        Position: 7659403
    Binlog_Do_DB:
Binlog_Ignore_DB:
1 row in set (0.00 sec)

Step 5: Start slave until
We now have:
A binlog position on the master
A binlog position on the standby
Optional: bring standby on-line
UNLOCK TABLES
Run slave until master position
slave> START SLAVE UNTIL
> MASTER_LOG_FILE = 'masterbin.000032',
> MASTER_LOG_POS = 7685436;

ster
ave
ndby

Step 6: Redirect slave
Slave
Slave stopped at
master binlog
position
Standby stopped at
the same position
You know the
Binlog standby position

Master Standby

ster
ave
ndby

Step 6: Redirect slave
Slave
Redirect slave to
standby position
Use standby position
CHANGE MASTER TO
MASTER_HOST = ...,
MASTER_PORT = ...,
MASTER_LOG_FILE =
Binlog 'standbybin.000047',
MASTER_LOG_POS =
7659403;

Master Standby

ster
ave
ndby

Step 7: Start slave

Master Standby

Slave

slave> START SLAVE;

Scenario 4: Summary
Forwarding replication events
logslaveupdates
Standby have to be ahead of Slave
... and ways to ensure that
Synchronizing for switch-over
SHOW MASTER STATUS
START SLAVE UNTIL
MASTER_POS_WAIT()

Standby
Slave
Master

What about crashes?
Master Standby

Slave

Not possible to check master
Pick “most knowledgeable” slave:
Query each slave
Redirect other slaves

Replication
for Scale-out

Keeping the system
responsive

ent

Scaling out
Master Write Client

Read
Slave Slave Slave Slave Slave

Distribute read query processing
Write queries still go to master
Clients need to send:
Read queries to a slave
Write queries to the master

ster
ave
Slave

Scenario 5: Relay slave
Reduce load on
Master master
log-slave-updates
Binary log on relay
Relay No tables on relay
BLACKHOLE
Slave Slave

Slave

Scenario 5: Relay slave
1. Stop slave
2. Change default storage engine
3. Change engine of existing tables
4. Start slave

Step 2: Change engine
Change default engine on relay
SET GLOBAL
STORAGE_ENGINE = 'BLACKHOLE';
New tables will use BLACKHOLE

Step 3: Change engine
Change engine for existing tables
... should not be logged
So we turn of logging
SET SQL_LOG_BIN = 0;
ALTER TABLE table
ENGINE = BLACKHOLE;
SET SQL_LOG_BIN = 1;

Scenario 5: Summary
Use BLACKHOLE engine
Change default engine
SET GLOBAL STORAGE_ENGINE=engine
Change engine of existing tables
ALTER TABLE ENGINE=engine

ster
ave

Scenario 6: Specialist slaves

Master

Friends list Message board

Slave Slave Slave Slave Slave

Scale out dependent on role
Only store tables that are needed
Remove other tables
Need to filter out changes

Scenario 6: Adding filters
1.Shutdown server
2.Edit my.cnf file to add filters
3.Restart server

There are:
Master filtering
Slave filtering

Step 2: Edit my.cnf
[mysqld] [mysqld]
... ...
replicatedotable=user replicatedotable=user
replicatedotable=friend replicatedotable=message

Friends slave Message board slave

Add slave filtering rules to my.cnf
Multiple options for multiple rules

Master side filtering rules
Filtering on database
Filtered events not in binary log
No point-in-time recovery
Filtering rules:
binlogdodb
binlogignoredb

Slave side filtering rules
Filter on database, table, or pattern
Events read from relay log
... but not executed
Filtering rules:
replicatedodb
replicateignoredb
replicatedotable
replicateignoretable
replicatewilddotable
replicatewildignoretable

Filtering notes
Either *ignoredb or *dodb
*ignoredb ignored otherwise
Statements are filtered based on
current database
Filtered:
USE filtered_db;
INSERT INTO plain_db.tbl ...
Not filtered
USE plain_db;
INSERT INTO filtered_db.tbl ...

Scenario 6: Summary
Filtering rules added to my.cnf
... requires server shutdown
Master filtering
binlogdodb, binlogignoredb

Slave filtering
replicatedodb, replicateignoredb
replicatedotable
replicateignoretable
replicatewilddotable
replicatewildignoretable

Replication
for High-
Availability
Keeping them servers up
and running

ster
/Slave

Scenario 7: Dual masters

Master Master

Client/
Slave

High-availability
One master can fail
Not scale-out

Scenario 7: Dual masters
1.Configure masters as slaves
serverid
logbin
Add user and grants
2.For scale-out usage:
logslaveupdates
3.Direct masters to each other
CHANGE MASTER TO
START SLAVE

ster
/Slave

log-slave-updates?
log-slave-updates

Master Master

Slave

Use logslaveupdates?
Necessary to forward events
Consider: recovery?
Consider: connecting a slave later?

ster
/Slave

Events coming back?
server-id=1 server-id=2

Master Master
log-slave-updates

Slave

Master is also a slave
Will see its own events
Server id is stored in event
Same server id is filtered
replicatesameserverid

nlog
d Disk

Shared disk
Virtual IP Manager

Master Master Slave

Shared disk

Binlog Binlog

Active/Passive pair
Master and slave share binlog
Shared store: DRBD, RAID
On fail-over, binlog positions match

ster

Circular replication?

Master Master

Master Master

Replicate in a ring
Not a recommended setup
Complicated to maintain

ster


Master Master

Master Master

What if one master crashes?
Need to “shrink” ring
Where to start replication?
(Changes on crashed server lost)

ster


Master Master
1919

4711
Master Master

Where do we start?
Different position on 2 and 3
Lag between 2 and 3
Lag between 3 and 4

Circular replication
1.Create replication progress table
2.For every transaction:
Figure out binlog position
Write it to table with transaction
Need to use special client code
3.On failure:
Fetch position from replication
progress table
Change to position and start slave

Step 1: Replication progress
Create replication progress table
Name: Replication_progress
Column: Server_id
Column: Master_log_file
Column: Master_log_pos
CREATE TABLE Replication_progress (
  Server_id INT UNSIGNED,
  Log_file CHAR(64),
  Log_pos INT UNSIGNED,
  PRIMARY KEY (Server_id)
) ENGINE=MYISAM;

Step 2: Transaction position
Set AUTOCOMMIT
SET AUTOCOMMIT=0

Lock tables needed
This will also start the transaction
LOCK TABLES
Replication_progress WRITE,
/* other tables */

Execute transaction and commit
...; COMMIT;

Step 2: Transaction position
Fetch master position
($File, $Pos) = `SHOW MASTER STATUS`

Update replication progress table
INSERT INTO Replication_progress
VALUES ($Server_id, '$File', $Pos)
ON DUPLICATE KEY
UPDATE Log_file = '$File',
Log_pos = $Pos

Unlock tables
UNLOCK TABLES

Step 2: How to fail-over
Decide fail-over server
$Failover_id

Find position
($File, $Pos) =
`SELECT Log_file, Log_pos
FROM Replication_progress
WHERE Server_id = $Failover_id`

Change master and start slave
CHANGE MASTER TO MASTER_HOST = ...,
MASTER_LOG_FILE = $File,
MASTER_LOG_POS = $Pos
START SLAVE

ster


Master Master

Master Master

What about server 3 events?
Leave them
Introduce fake server

ster


Master Master

Master Master

6.0 feature
CHANGE MASTER TO
MASTER_LOG_FILE = ...,
MASTER_LOG_POS = ...,
IGNORE_SERVER_IDS = (3);

The binary
log

A closer look into the
binary log

Binlog events
master-bin.000022
Format description: 5.1.23

CREATE TABLE tbl (a INT, b INT)

BEGIN
Groups
INSERT INTO tbl VALUES (1,2)
Events
INSERT INTO tbl2 VALUES (2,3)

COMMIT

Rotate: master-bin.000023

Statement logging
Statements use Query log event
Statements are logged verbatim
...with some exceptions
USE statement added
... with current database
mysqld.1> show binlog events from 106 limit 1G
*************************** 1. row ***************************
   Log_name: masterbin.000001
        Pos: 106
Event_type: Query
  Server_id: 1
End_log_pos: 200
       Info: use `test`; CREATE TABLE tbl (a INT, b INT)
1 row in set (0.00 sec)

Statement logging
What about this statement?
UPDATE db1.t1, db2.t2
SET db1.t1.a = db2.t2.a
Logged with the current database
Statement cannot be executed if
db1 or db2 is filtered (but not both)
Situation have to be avoided:
USE the right database
Don't qualify tables with database

Statement logging
Statement context events
User variables
RAND()
AUTO_INCREMENT
Context events written before
*************************** 1. row ***************************
Event_type: User var
Info: @`user`=_latin1 0x6D6174734073756E2E636F6D COLLATE latin1_swedish_ci
*************************** 2. row ***************************
Event_type: Query
Info: use `test`; INSERT INTO user VALUES (1,@user)

Unsafe statements
User-defined functions (UDFs)
Can do anything
Other unsafe constructions:
UUID()
FOUND_ROWS()
Two or more tables with
AUTO_INCREMENT
... and more

Statement logging
Statements are logged:
after statement is executed
before statement is committed
Non-transactional changes
Can be partially executed
Can cause inconsistency

Row-based replication
Introduced in 5.1
Replicate actual row changes
Can handle “difficult” statements
UDFs, UUID(), ...
Automatic switching
Partially executed statements
Used for Cluster replication
A foundation for new development

Binlog formats
STATEMENT
Everything replicated as statement
Same as for 5.0

MIXED
Replicates in statement format by default
Switch to row format for unsafe statements

ROW
DML is replicated in row format
DDL is replicated in statement format

Using MIXED
Server variable
For a single session only:
SET SESSION BINLOG_FORMAT=MIXED
For all sessions:
SET GLOBAL BINLOG_FORMAT=MIXED

Configuration option:
ed
nd
me
binlogformat=mixed
om
R ec

Row-based and filtering
Individual rows are filtered
Filtered based on actual database
(Statement-based on current database)
Master filters on table possible
... but not implemented
No
UPDATE db1.t1, db2.t2 prob
SET db1.t1.a = db2.t2.a lems

Row-based as a foundation
e
D on
Conflict detection and resolution
Fine-grained filtering
Master filter on table
e
D on
Cluster replication
Multi-channel replication
Transactional behavior
Possibility to separate transactional and
non-transactional changes in a statement
Horizontal partitioning
Sending different rows to different slaves

Transaction cache
Queries
Session Cache
Flush

Session Queries Cache Binlog
Flush

Statements are cached
One cache per session
Cache is written to binlog on commit

Non-transactional statements
Query

Session Cache
Flush

Session Queries Cache Binlog
Flush

Not cached... all the time
Written directly to binlog
Locks binlog

Inside a transaction
<5.1.31:
If cache is not empty: cache
Otherwise: write directly
≥5.1.31:
Always cached
Outside a transaction
Never cached

CREATE TABLE trans (a CHAR(64)) ENGINE=INNODB;
CREATE TABLE non_trans (a CHAR(64)) ENGINE=MYISAM;

BEGIN;
INSERT INTO trans VALUES (1),(2),(3);
INSERT INTO non_trans SELECT * FROM trans;
...
COMMIT/ROLLBACK;

To cache or not to cache...
Keep safe: cache the statement

Mixing engines in statements
CREATE TABLE user (
   uid INT AUTO_INCREMENT,
   name CHAR(64), email CHAR(64),
   PRIMARY KEY(uid)
) ENGINE=INNODB;

CREATE TABLE log (uid CHAR(64), comment TEXT) ENGINE=MYISAM;

CREATE TRIGGER tr_user AFTER INSERT ON user FOR EACH ROW
    INSERT INTO log VALUES(NEW.uid, “New user added”);

Table user to track users
Table log track changes to user
Trigger tr_user:
Insert entry in log when user is added

Consider this statement:
INSERT INTO user
VALUES (NULL,'mats','mats@sun.com');

Statement changes:
Transactional table user
Non-transactional table log
Is this statement transactional?
Shall it be written to the cache?

If treated as transactional:
BEGIN;
INSERT INTO innodb_tbl VALUES...
INSERT INTO user VALUES ...
ROLLBACK;
Master and slave inconsistent
If treated as non-transactional:
BEGIN;

1
1. 3
INSERT INTO user VALUES ...

5.
in
ROLLBACK;

d
xe
Fi
Master and slave inconsistent

Inside a transaction
<5.1.31:
If cache is not empty: cache
Otherwise: write directly
Th
≥5.1.31: is
is
th
ef
Always cached ix

Outside a transaction
Never cached

Don't write this:
BEGIN;
INSERT INTO myisam_tbl VALUES...
...
COMMIT;

Write this:
INSERT INTO myisam_tbl VALUES...
BEGIN;
...
COMMIT;

Triggers and replication
Non-transactional trigger
Statement becomes non-transactional
Legacy from statement-based
5.0: statement can be transactional
Non-transactional “write-ahead”
Possible with row-based replication
Not implemented yet

Events and replication
CREATE, DROP, and ALTER
DDL: Replicated as statements
Event is disabled on slave
It should not execute on slave
Executed twice otherwise
Enabled with ALTER EVENT

Binlog events

A closer look at the
contents of binlog events

Common Event Header – 19 bytes
Field Length Description
Timestamp 4 bytes Seconds since 1970
Type 1 byte Event type
Master Id 4 bytes Server Id of server that created this event

Total size 4 bytes Event total size in bytes
Master position 4 bytes Position of next event in master binary log
Flags 2 bytes Flags for event

time stamp type master id

total size master position flags

Statement-based INSERT 1/2: Query event header

$ mysqlbinlog --hexdump master-bin.000001

# at 235
#060420 20:16:02 server id 1 end_log_pos 351
# Position Timestamp Type Master ID
# 000000eb e2 cf 47 44 02 01 00 00 00
# Size Master Pos Flags
# 74 00 00 00 5f 01 00 00 10 00

Statement-based INSERT 2/2: Query event data


# 000000fe 02 00 00 00 00 00 00 00
# 04 00 00 1a 00 00 00 40 |................|
# 0000010e 00 00 ... |.............std|
# 0000011e 04 08 ... |.......test.INSE|
# 0000012e 52 54 ... |RT.INTO.t1.VALUE|
# 0000013e 53 20 ... |S...A...B......X|
# 0000014e 27 2c ... |...Y......X...X.|
# 0000015e 29 |.|
# Query thread_id=2 exec_time=0 error_code=0

SET TIMESTAMP=1145556962;
INSERT INTO t1 VALUES ('A','B'), ('X','Y'), ('X','X');

Row-based INSERT 1/2: Table map event


# at 235
# 000000eb c5 cd 47 44 13 01 00 00 00
# 28 00 00 00 13 01 00 00 00 00
# 000000fe 0f 00 00 00 00 00 00 00
04 74 65 73 74 00 02 74 |.........test..t|
# 0000010e 31 00 02 fe fe |1....|
# Table_map: `test`.`t1` mapped to number 15
BINLOG 'xc1HRBMBAAAAKAAAABMBA...3QAAnQxAAL+/g==';

Row-based INSERT 2/2: Write event

# at 275
# 00000113 c5 cd 47 44 14 01 00 00 00
# 2c 00 00 00 3f 01 00 00 10 00
# 00000126 0f 00 00 00 00 00 01 00
# 02 ff f9 01 41 01 42 f9 |............A.B.|
# 00000136 01 58 01 59 f9 01 58 01
# 58 |.X.Y..X.X|
# Write_rows: table id 15

BINLOG 'xc1HRBQBAAAALAAAAD...EBQvkBWAFZ+QFYAVg=';

MySQL Cluster Replication
Where to get the log events?

Application Application Application

Replication
MySQL MySQL MySQL
Server Server Server

Application
DB DB

Application DB DB

Application MySQL Cluster
using NDB API

Concurrency control inside master cluster
Application Application

MySQL MySQL
Server Server

TC (DB y) TC (DB x)

DB 1 DB 3
Row-level
locking
on primary
replica DB 2 DB 4

Node group 1 Node group 2

Log shipping inside master cluster
Application Application
Changed Replication
row data
MySQL MySQL MySQL
Server Server Server

TC (DB x) TC (DB x)
Replication
server

DB 1 DB 3

Row-level
locking
on primary DB 2 DB 4
replica
Node group 1 Node group 2

MySQL Replication Architecture
MySQL 5.1

Application Application Application Application

MySQL Server MySQL Server
Master Slave
SBR Replication Replication I/O
server SQL
thread
RBR thread

Injector
interface SE1 SE2 SE1 SE2
Relay
Binlog Binlog
NDB Binlog
Injector
Storage Engines
Storage Engines
Row-based log from
cluster data nodes

Behaves like ordinary MySQL Replication
Application Application Application Application Application Application

Replication
MySQL MySQL MySQL MySQL MySQL MySQL
Server Server Server Server Server Server

DB DB DB DB

DB DB DB DB

Global
Local Synchronous Asynchronous
Replication – Replication
two-phase commit

The End

Mats Kindahl
mats@sun.com

Lars Thalmann
lars.thalmann@sun.com

Replication tutorial presentation

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