MariaDB CONNECT Storage Engine

SkySQLMariaDB CONNECT Storage Engine

Serge Frezefond

SkySQL Ab 2012 Confidential


Goal of the CONNECT Storage Engine :BI on various file formats

Most of the data in companies is in various external datasources (many in non relational database format) :– Dbase, Firebird, SQlite– csv, – xml, – stored per column...– Microsoft Access & Excel– Distributed mysql servers

Targeting BI data access on these formats.

Not targeted for OLTP


Behind the sceneTraditional BI

Data is processed by an ETL– Change in the data model(denormalization...)

Agregates are computed– Need to be defined and maintained

Might need to move data out of RDBMS to other kind of datastore– OLAP, Collumn store, Hadoop/Hbase ...

Specific tools are used to query the data

IT is involved to maintain this machinery


MariaDB CONNECT Storage Engine : created by Olivier Bertrand

IBM database researcher– Now retired, 50 years expertise programing

Very experienced on databases– Worked on system-R, DB2, natural language

query ...

Discovered MySQL when looking for friendly place to test new concepts.(2004) – Decided to go open source – Started to appreciate the MariaDB openess

and friendlyness


How did the CONNECT Storage Engine move to MariaDB?

Olivier met Monty creator of MySQL and MariaDB a few years ago (2004 for other concepts)

SkySQL met Olivier and we start working together :– First access to launchpad, go to linux, test,

Olivier start working with MariaDB team :– Testing, bug fixes, security, test cases ...

SkySQL / MariaDB and Olivier agreed that is was ready to be released and supported under GPL– MariaDB flexibility ease integration


The CONNECT Storage Engine Uses the MySQL Plugin Architecture

A major differentiator of MySQL

Allow very specific datastore to interact with the MySQL sql layer

Allow advanced interaction– Specific Create Table parameters(MariaDB)– Condition push down

Allow join with other storage engines – InnoDB / MyISAM tables


The CONNECT Storage Engineimplements advanced features

● Support of external data sources :– Odbc, MySQL, WMI ...

● Support multi files tables● Support Big File Table > 2G● Support virtual tables (DIR)● Add autocreate of tables :

– The structure is discovered from the data source

● Use MariaDB create table new parameters capability (avoid comments polution)

● Support compressed tables



● Add indexing to files– index optimized for read

● Condition Push down– Used with ODBC and MySQL to push condition

to the target database. Big perf gain. ● Support MariaDB virtuals columns● Support of special columns :

– Rowid, fileid, tabid, servid● Muti tables table (like merge)

– Different structure, not myisam only, remotely distributed tables


CONNECT Storage Engine vs. Federated(X) storage Engine

- support ODBC– With muti files ODBC

- support access to MySQL table

- support the limit clause


CONNECT Storage EngineODBC component

Allow to access to any datasource accessible through ODBC.– Excel– Access– Firebird– SQLite– SQL Server, Oracle, DB2– ...

Possibility to do multifiles ODBC– To query consolidated monthly excel datasheet



Catalog table :– For Example Describe for odbc table– No need to do create table– Access to data / column metadata

Memory file maping – For file type table (not xml)

Table format .ini



Multiple CONNECT tables can be created on the same underlying file– Indexes can be shared between tables


Connect Storage Engine VEC table / Column store

col1col1

col2col1

col3col2col1

row3row2row1

col3

col1

freefree

freefreefree

col3

free

-1 or per column file- Indexes work- Fixed size record


Connect Storage EngineTable List Table (// Merge)

col1col1 col2

col1 col2

col3

col3col1 col2

col3col1 col2

ODBC table

MySQL table

col4Muti tables table (like merge)

– Different structure, not myisam only, remotely distributed tables


Connect Storage Engine vs. MySQL Merge tables

Table list table :

- support non MyISAM tables

- no need to the exact same structure for table

- underlying tables can be remote– Distributed architecture


Importing /exporting MySQL datain various formats

Importing file data into MySQL tables– Here for example from an XML file :

• create table biblio select * from xsampall2;

Exporting data from MySQL– Here for example we export to XML format :

create table handout engine=CONNECT table_type=XML

file_name='handout.htm' header=yes

option_list='name=TABLE,coltype=HTML,attribute=border=1;cellpadding=5'

select plugin_name handler, plugin_version version, plugin_author

author, plugin_description description, plugin_maturity maturity

from information_schema.plugins where plugin_type = 'STORAGE ENGINE';


Where is the MariaDB Connect Storage Engine available ?

● It is 100 % open source ● It is available on MariaDB launchpad● Open Bug database● Public Roadmap● Released test cases● Improvement request / worklog


How you can help

Adopt it / Test it.

Bugs : report bugs / propose fixes

Documentation : help improve it

Sharing : test it, blog about it, – Share your experience about interesting

usages.


Conclusion

●The MariaDB Connect Storage Engine :● Open MariaDB to BI and data analysis ● Brings real value to MariaDB users● Illustrates openess of MariaDB community● Supported by SkySQL / MariaDB

SkySQL Ab 2012 Confidential20

Thank You

Serge Frezefond

www.skysql.comlwww.facebook.com/skysqlwww.linkedin.com/company/skysql


Enhancements considered for MariaDB connect storage engine

- parallel access to multitables table

-

MariaDB CONNECT Storage Engine

Technology

Transcript of MariaDB CONNECT Storage Engine