PostgreSQL remains a popular option for organizations that need a traditional SQL database, but don’t want to spend the money required for Oracle. We’ve covered this open source database in the past here on the blog. For those companies who want extra support, a commercial Postgre option like EnterpriseDB needs to be considered.
With PostgreSQL 10 scheduled for release later this year, many users are undoubtedly curious about the new features and functionality. Let take a closer look at what’s in the feature set so you can consider either an upgrade or using this new version on your next development project.
Improved Query Performance
One of the most important enhancements in PostgreSQL 10 is its faster query executor. The database is already known for performing essentially as fast as Oracle, so any additional speed boost is sure to make those benchmark comparisons even closer.
Robert Haas, Vice President for Enterprise DB and a major contributor to the PostgreSQL codebase, commented on the technical changes behind the executor’s performance boost. “Hash aggregation has been rewritten to use a more efficient hash table and store narrower tuples in it, and work has also been done to speed up queries that compute multiple aggregates and joins where one side can be proven unique,” said Haas.
Improved parallelism is another enhancement in Postgre aimed at boosting query performance. Haas noted that parallel queries now run two to four times faster in version 10. Index scanning is another function now faster because of parallel processing.
The new XMLTABLE support improves query processing against data stored internally as XML. This is the one PostgreSQL 10 enhancement aimed at the NoSQL market.
Replication is now Better – and Easier
PostgreSQL 10 now supports replication at the table level; previous versions required the full database to be replicated. This additional flexibility comes with the bonus of being easier to use as well. Called Logical Replication, it is a feature greatly anticipated in the PostgreSQL community.
Extended Statistics help with Query Planning
Developers who write complex queries against a PostgreSQL 10 instance enjoy the benefit of expanded statistics that help the query planning process. Haas explains this in more detail: “If the query planner makes a bad row count estimate resulting in a terrible plan, how do you fix it? With extended statistics, you can tell the system to gather additional statistics according to parameters that you specify, which may help it get the plan right.”
Other PostgreSQL 10 Enhancements
Other significant Postgre 10 improvements include Declarative Partitioning which makes inserting new records faster, among other benefits. Support for SCRAM authentication enhances the security of a database instance. Durable Hash Indexes are another new feature aimed at boosting database performance.
One future enhancement potentially coming out in a point release is just-in-time compilation. This is expected to add yet another performance boost to any PostgreSQL implementation.
PostgreSQL 10 definitely adds enough new functionality for current users as well as organizations interested in an alternative to Oracle. While its NoSQL support remains limited, it is definitely a traditional SQL database worthy of your interest. EnterpriseDB also offers commercial-level support for companies still wary of an open source solution.
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