![]() ![]() One solution for such a problem is to copy the salary information in both the HR and Tax systems. This data maybe required by the HR and tax systems to calculate hike or decide tax incurred, respectively. For example, a payroll database has employee salary information. Federated query capability implemented via FDW allows you to pull data from a shared database to other databases as needed.Īn organization could have multiple systems catering to different departments. When working with independent software vendors (ISVs), we occasionally see them offering Amazon RDS for PostgreSQL and Aurora PostgreSQL in a multi-tenant setup in which they use one database per customer and a shared database within a single instance. However, you can easily extended the solution for other federated query use cases. In this post, we primarily focus on two use cases to give an overview on the capability. The following diagram illustrates this architecture. This is available in all present versions supported for Amazon RDS for PostgreSQL and Aurora PostgreSQL. postgres_fdw allows you to implement federated query capability to interact with any remote PostgreSQL-based database, both managed and self-managed on Amazon Elastic Compute Cloud (Amazon EC2) or on premises. In this post, we discuss one FDW implementation that comes with PostgreSQL source as a contrib extension module called postgres_fdw. However, most FDWs are independent open-source projects implemented as Postgres extensions, and not officially supported by the PostgreSQL Global Development Group. Several FDWs are available that help connect PostgreSQL Server to different remote data stores, ranging from other SQL database engines to flat files. ![]() The implementation of this concept in PostgreSQL was called foreign data wrappers (FDW). In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and in 2013, write support was added with PostgreSQL 9.3. It’s a standardized way of handling access to remote objects from SQL databases. In 2003, a new specification called SQL/MED (“SQL Management of External Data”) was added to the SQL standard. This allows DBAs to spend more time on business-critical problems like doing schema design early on or query tuning. ![]() Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition are AWS managed offerings that take away the heavy lifting required for setting up the platform, configuring high availability, monitoring, and much more. It’s a viable open-source option to use compared to many commercial databases, which require heavy license costs. PostgreSQL is one of the most widely used database engines and is supported by a very large and active community. ![]()
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