Continuent Tungsten offers real-time replication from MySQL to a variety of DBMS types including Vertica. In this Tungsten University webcast we will show you the details of setting up MySQL-to-Vertica replication, including the following topics: • Introduction to Continuent Tungsten features for data warehouse loading • Installation for MySQL to Vertica replication • Best practices for applications: charsets, schema design, time zones, etc. • Techniques for filtering and transforming data • Performance tuning and trouble shooting • Adapting batch loading for new use cases The webinar includes technical information and a live demo to help you get your own data warehouse loading application up and running quickly.

1. ©Continuent 2013
Tungsten University:
Load a Vertica Data
Warehouse with MySQL Data
Robert Hodges
CEO, Continuent

2. ©Continuent 2013
Introducing Continuent
2
• The leading provider of clustering and
replication for open source DBMS
• Our Product: Continuent Tungsten
• Clustering - Commercial-grade HA, performance
scaling and data management for MySQL
• Replication - Flexible, high-performance data
movement

3. ©Continuent 2013
OLTP and Data Warehouse
Fundamentals
3

4. ©Continuent 2013
The Contenders
4
Popular open
source RDBMS
for transaction
processing
Popular closed
source RDBMS
for analytics

5. ©Continuent 2013
Storage Layout in MySQL
5
id cust_id prod_id ...
1 335301 532 ...
2 2378 6235 ...
3 ... ... ...
Sales Table
id sku type
532 C00135 consumer
533 S09957 specialty
... ...
Product Table
prod_id id
532 1
6235 2
... ...
Prod_ID Index
Row format
makes table
scans very
slow
Indexes slow
OLTP
Low/no data
compression
Limited
index
types
Limited
join
types

6. ©Continuent 2013
Storage Layout in Vertica
6
Sales Table
cust_id
335301
2378
...
prod_id
532
6235
...
Fast scans
on columns
Updates to single
rows are
hideously slow
quantity
1
3
...
id
1
2
3
Every column
is an index
Good
compression
id
532
533
...
sku
C00135
S09957
...
type
consumer
specialty
...
Product Table
Fast joins
with parallel
query

7. ©Continuent 2013
Traditional ETL Problems
7
MySQL
Sales
Table
Sales
Table
LoadTransferExtract
Date columns = intrusive
Batch-oriented = not timely
Scan for changes = performance hit

8. ©Continuent 2013
Questions for Real-Time Loading
• Do I need to transform data and if so how?
• Do I need to clean up bad information?
• Do I need to process UPDATE/DELETE too?
• Do I need to load from multiple sources?
• How timely do loads need to be?
• What if something fails?
8

9. ©Continuent 2013
Tungsten Replicator Basics
9

10. ©Continuent 2013
Real-Time Data Replication
10
MySQL
Sales
Table
Sales
Table
Fast propagation = timely
No SQL changes = transparent
Automatic change capture = low impact
DBMS
Logs
Data
Replication

11. ©Continuent 2013
Tungsten Master/Slave in Action
11
Master
(Transactions + Metadata)
Slave
THL
DBMS
Logs
Replicator
(Transactions + Metadata)
THLReplicator
Download
transactions
via network
Apply using JDBC

12. ©Continuent 2013
Pipelines with Parallel Apply
12
Extract Filter Apply
Stage
Extract Filter Apply
Stage
Stage
Pipeline
Remote
Master
Transaction
History Log
Parallel
Queue
Slave
DBMS
Extract Filter Apply
Extract Filter Apply
Extract Filter Apply
(Assign
Shard ID)

13. ©Continuent 2013
Real-Time Batch Loading
13
MySQL Tungsten Master
Replicator
Service my2vr
MySQLExtractor
Special Filters
* pkey - Fill in pkey info
* colnames - Fill in names
* replicate - Ignore tables
binlog_format=row
Tungsten Slave
Replicator
Service my2vr
MySQL
Binlog
CSV
Files
CSV
Files
CSV
Files
CSV
Files
CSV
Files
Large transaction
batches to leverage
load parallelization
Single transactions
from OLTP
operations

14. ©Continuent 2013
Batch Loading--The Gory Details
14
Replicator
Service my2vr
Transactions
from master
CSV
Files
CSV
Files
CSV
Files
Staging
Tables
Staging
Tables
Staging
Tables
Base
Tables
Base
Tables
Base
Tables
Merge
Script
(or)
COPY
directly to
base tables
COPY to
stage tables SELECT to
base tables

15. ©Continuent 2013
Setting Up MySQL to Vertica
Replication
15

16. ©Continuent 2013
DEMO
16
MySQL toVertica replication
with some bells and a whistle
MySQL
db01
db02
db03
db01
renamed02
X
sysbench
sysbench
sysbench

17. ©Continuent 2013
Get the Code
wget --no-check-certificate https://s3.amazonaws.com/
files.continuent.com/builds/nightly/tungsten-2.0-snapshots/
tungsten-replicator-2.1.0-285.tar.gz
tar -xf tungsten-replicator-2.1.0-285.tar.gz
cd tungsten-replicator-2.1.0-285
17

18. ©Continuent 2013
Installing MySQL Master
18
tools/tungsten-installer --master-slave -a
--service-name=mysql2vertica
--master-host=mysql1
--cluster-hosts=mysql1
--datasource-user=tungsten
--datasource-password=secret
--home-directory=/opt/continuent
--buffer-size=100
--java-file-encoding=UTF8
--java-user-timezone=GMT
--mysql-use-bytes-for-string=false
--svc-extractor-filters=replicate,colnames,pkey
--property=replicator.filter.pkey.addPkeyToInserts=true
--property=replicator.filter.pkey.addColumnsToDeletes=true
--property=replicator.filter.replicate.do=db01.*,db02.*
--start-and-report

19. ©Continuent 2013
Installing Vertica Slave
19
$ tools/tungsten-installer --master-slave -a
--service-name=mysql2vertica
--home-directory=/opt/continuent
--cluster-hosts=vertica1
--master-host=mysql1
--datasource-type=vertica
--datasource-user=dbadmin
--datasource-password=secret
--datasource-port=5433
--batch-enabled=true
--batch-load-template=vertica6
--vertica-dbname=bigdata
--java-user-timezone=GMT
--java-file-encoding=UTF8
--svc-applier-filters=dbtransform
--property=replicator.filter.dbtransform.from_regex1=db02
--property=replicator.filter.dbtransform.to_regex1=renamed02
--property=replicator.stage.q-to-dbms.blockCommitRowCount=25000
--start-and-report

20. ©Continuent 2013
Generate Schema Using ddlscan
20
•Data types?
•Column lengths?
•Naming conventions?
•Staging tables?
MySQLTables
ddlscan

21. ©Continuent 2013
Tungsten ddlscan Utility
cd /opt/continuent/tungsten/tungsten-replicator/bin
# Base table generation.
./ddlscan -template ddl-mysql-vertica.vm
-db db01 -user tungsten -pass secret >> ddl.sql
# Staging table generation
./ddlscan -template ddl-mysql-vertica-staging.vm
-db db01 -user tungsten -pass secret >> ddl.sql
# Load into Vertica
vsql -Udbadmin -wsecret < ddl.sql
21

22. ©Continuent 2013
Checking Status
# Checking status on master
trepctl -host logos1 heartbeat
trepctl -host logos1 status
# Checking status on slave
trepctl -host vertica1 status
# Checking detailed performance of apply task.
trepctl -host vertica1 status -name tasks
22

23. ©Continuent 2013
Application Tips and Tricks
23

24. ©Continuent 2013
Application Design Practices
24
• Primary keys on all tables
• (Tungsten requires single column keys)
• Clean schema design *really* helps
• UTF-8 character set--or at least be consistent
• Use GMT timezone--or be very consistent
about dates
• Use row replication on MySQL master

25. ©Continuent 2013
Transforming Data -- Replicator Filters
25
• Tables to ignore/include?
• Schema/table/column renaming?
• Map names to upper/lower case?
• Drop data?
tungsten-installer --master-slave -a
--service-name=mysql2vertica
...
--svc-extractor-filters=pkey,colnames,replicate
--property=replicator.filter.replicate.do=db01.*,db02.*
...

26. ©Continuent 2013
List of Commonly Used Filters
26
• CDC -- Transform log to record of changes
• colnames -- Add column names
• dbtransform -- Change db name only
• enumtostring -- Make MySQL enums a string
• pkey -- Add primary key metadata
• rename -- Rename db/table/column
• replicate -- Replicate/don’t replicate tables
• zerodate2null -- Make MySQL ‘0’ dates null

27. ©Continuent 2013
Transforming Data -- Staging Server(s)
27
OLTP
Servers
Staging
Server with
Triggers/SQL
Vertica
Cluster

28. ©Continuent 2013
Transforming Data -- Merge Script Hacks
28
# Hacked load script for Vertica--deletes always precede inserts, so
# inserts can load directly.
# Extract deleted data keys and put in temp CSV file for deletes.
!egrep '^"D",' %%CSV_FILE%% |cut -d, -f4 > %%CSV_FILE%%.delete
COPY %%STAGE_TABLE_FQN%% FROM '%%CSV_FILE%%.delete'
DIRECT NULL 'null' DELIMITER ',' ENCLOSED BY '"'
# Delete rows using an IN clause. You could also set a column value to
# mark deleted rows.
DELETE FROM %%BASE_TABLE%% WHERE %%BASE_PKEY%% IN
(SELECT %%STAGE_PKEY%% FROM %%STAGE_TABLE_FQN%%)
# Load inserts directly into base table from a separate CSV file.
!egrep '^"I",' %%CSV_FILE%% |cut -d, -f4- > %%CSV_FILE%%.insert
COPY %%BASE_TABLE%% FROM '%%CSV_FILE%%.insert'
DIRECT NULL 'null' DELIMITER ',' ENCLOSED BY '"'

29. ©Continuent 2013
Provisioning -- Using CSV
29
mysql> SELECT * from sales INTO
OUTFILE ‘sales.csv’;
...
(Fix up data if necessary)
...
vsql> COPY sales FROM 'sales.csv'
DIRECT NULL 'null'
DELIMITER ',' ENCLOSED BY '"';

30. ©Continuent 2013
Provisioning Using a Sandbox Server
30
OLTP
Server
Temporary
Sandbox Server
Vertica
Cluster
1. Restore
logical
backup
2. Replicate
restored
transactions
3. Replicate
normally after
restore loads

31. ©Continuent 2013
Parallel Provisioning from Sandbox
31
OLTP
Server
Temporary
Sandbox Server
Vertica
Cluster
1. Restore
logical
backup
2. Replicate
restored data in
parallel
3. Replicate
normally after
restore loads

32. ©Continuent 2013
Complex Topologies: Fan-In
32
Vertica
Cluster
logos1
Master
logos2
Master
logos2
Slave
Services
logos1

33. ©Continuent 2013
Wrapping Up
33

34. ©Continuent 2013
Tungsten University Sessions
34
• Load a Vertica Data Warehouse with MySQL
Data (May 30 10am PDT and June 4, 4pm CEST)
Send feedback to: tu@continuent.com

35. ©Continuent 2012.
Continuent Web Page:
http://www.continuent.com
Tungsten Replicator 2.0:
http://code.google.com/p/tungsten-replicator
Our Blogs:
http://scale-out-blog.blogspot.com
http://!yingclusters.blogspot.com
http://datacharmer.org/blog
http://www.continuent.com/news/blogs
560 S. Winchester Blvd., Suite 500
San Jose, CA 95128
Tel +1 (866) 998-3642
Fax +1 (408) 668-1009
e-mail: sales@continuent.com