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Copyright © 2017 NTT. All Rights Reserved. Partitioning tables across multiple servers to scale out PostgreSQL PostgreSQL sharding with foreign data wrappers NTT, in cooperation with a development community *1 , is committed to PostgreSQL development in order to expand its usage to enterprise areas by scaling out a table to multiple servers. PostgreSQL now has the capabilities of load-balancing for a large amount of simple queries and of pushing down analytic queries to off-load the query execution to multiple distributed servers. Features ■ Open source technology. Developed as a built-in feature of open source DBMS *2 which leads to TOC *3 reduction. ■ Distributed table. Transparent access from your application to tables distributed in multiple servers the same as a single table. ■ Various data sources. Manage various external data sources from PostgreSQL using foreign-data wrapper, e.g., Hadoop, Oracle and MySQL. Application Scenarios ■ Adjust to your business growth. Seamless performance scale-out by adding servers as your business grows. ■ Large data analysis. Speed up your analytic queries by pushing down the query execution to multiple distributed servers that store large-scaled data expanding with daily business operation. ■ Simple access to multiple data sources. A single point of access for a batch execution searching among various kind of multiple data sources in large enterprise systems. Collaboration Partner The PostgreSQL Global Development Group *1 The PostgreSQL Global Development Group *2 DBMS: data base management system *3 TCO: total cost of ownership 〈Contact〉[email protected] Scaling out PostgreSQL PostgreSQL 結果出力 JOIN SORT SQL Query 結果出力 Result Foreign-data wrapper PostgreSQL PostgreSQL Relational operations (sort, join, …) JOIN SORT JOIN SORT Sharded table Sharded table Sharded table PostgreSQL JOIN SORT Sharded table Load balance Distribute select and update queries to sharded servers A B C D A B C D Table alias Query pushdown Execute at remote server Open source developers worldwide Technologies to enhance networks D－20

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Partitioning tables across multiple servers to scale out PostgreSQL

PostgreSQL sharding with foreign data wrappers

NTT, in cooperation with a development community*1, is committed to PostgreSQL development in order to expand its usage to enterprise areas by scaling out a table to multiple servers. PostgreSQL now has the capabilities of load-balancing for a large amount of simple queries and of pushing down analytic queries to off-load the query execution to multiple distributed servers.

Features ■ Open source technology. Developed as a built-in feature of open

source DBMS*2 which leads to TOC*3 reduction. ■ Distributed table. Transparent access from your application to

tables distributed in multiple servers the same as a single table. ■ Various data sources. Manage various external data sources from

PostgreSQL using foreign-data wrapper, e.g., Hadoop, Oracle and MySQL.

Application Scenarios ■ Adjust to your business growth. Seamless performance scale-out

by adding servers as your business grows. ■ Large data analysis. Speed up your analytic queries by pushing

down the query execution to multiple distributed servers that store large-scaled data expanding with daily business operation.

■ Simple access to multiple data sources. A single point of access for a batch execution searching among various kind of multiple data sources in large enterprise systems.

Collaboration Partner The PostgreSQL Global Development Group

*1 The PostgreSQL Global Development Group *2 DBMS: data base management system *3 TCO: total cost of ownership

〈Contact〉[email protected]

Scaling out

PostgreSQL

結果出力

JOIN SORT

SQL Query

結果出力 Result

Foreign-data wrapper

PostgreSQL

Relational operations (sort, join, …)