pg_shard 1.2 for Scalable PostgreSQL and cstore_fdw 1.3 for Columnar PostgreSQL Released - Mailing list pgsql-announce

From Terry Erisman
Subject pg_shard 1.2 for Scalable PostgreSQL and cstore_fdw 1.3 for Columnar PostgreSQL Released
Date
Msg-id 023701d0de81$2cfe38b0$86faaa10$@citusdata.com
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List pgsql-announce

Citus Data is pleased to announce the release of the open source pg_shard 1.2 extension for creating a scalable PostgreSQL cluster on commodity physical or virtual servers. Release notes can be found on the Citus Data blog. A recent blog post describes how to scale PostgreSQL on Amazon RDS using pg_shard. Significant enhancements in this release include:

 

·        Full CitusDB integration — Distribution metadata is always in sync with CitusDB

·        Better type support — Partition by enumeration or composite types

·        Planning improvements — Improved internal metadata locking and function checking

·        Usability enhancements — Better validations and error messages during use

 

 

We are also pleased to announce the release of the open source cstore_fdw 1.3 extension for creating columnar PostgreSQL. Release notes can be found on the Citus Data blog. Significant enhancements in this release include:

 

·        ALTER FOREIGN TABLE ADD/DROP COLUMN ... support. You can now add/drop columns on existing cstore tables. Default values on newly added columns are also supported with some restrictions.

·        Improved COPY FROM support. Column references in the COPY command is now supported. You can now specify list of columns to be copied from a file to a cstore table.

·        Query performance improvements. Table row count estimation works better which allows the query planner to better prepare query plans.

·        (Fix) Whole row references. You can now use row references in function calls like SELECT to_json(*) FROM cstore_table.

 

 

We are also pleased to announce the release of CitusDB 4.1. Release notes are available on the Citus Data blog.

 

 

Terry

 

Terry Erisman

Citus Data

 

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