As you all know, EDB Failover Manager(EFM) provides the high availability insfrastructure for EDB Postgres clusters. Failover Manager monitors the members of a Postgres cluster, identifies and verifies database failures quickly and reliably, and if needed promotes a standby node to become the cluster master and issues alerts. Every release of EFM has new features and functionalities and to take benefit of it you may need to upgrade your existing cluster to new version. Continue reading →
plpgsql_check extension helps developers to validate all embeded SQL and SQL statements inside plpgsql function. Its one of the useful extensions particularly when working with plpgsql development. For more details refer to plpgsql_check documentation. By default, plpgsql_check extension not enabled in community PostgreSQL or commercial EDB Postgres. You need compile the extension with your flavor database. Community PostgreSQL compilation is easy and documented in the above reference link, however below steps help you to compile with commercial EDB Postgres database. Continue reading →
This is one of the quickest blog am publishing :). I am publishing from my terminal as is of my testing to create language plpython3u. Using trusted or untrusted distributions of python we can create plpython3u language in PostgreSQL. In my testing, am trying with SCL distribution(am not recommending, I tried for testing) of python3.3 to create language plpython3u. Let’s begin creating language on a binary version of PostgreSQL 9.6 installation without any tweaking. Continue reading →
Before doing a deep dive into the subject, a short outline about PgBouncer, its a lightweight connection pooler for PostgreSQL that dramatically reduces the processing time and resources for maintaining a large number of client connections to one or more databases. Typically used to increase the number of user connections that can be handled in a high performance environment. For more details on Installing/Configuring PgBouncer refer to the documentation here. Continue reading →
Today, organizations stores information(data) in different database systems. Each database system has a set of applications that run against it. This data is just bits and bytes on a file system - and only a database can turn the bits and bytes of data into business information. Integration and consolidation of such information(data) into one database system is often difficult. Because many of the applications that run against one database may not have an equivalent application that runs against another. Continue reading →