The xact_commit attribute shows how many transactions are committed in this database, while the xact_rollback attribute indicates how many transactions have been rolled back (errored) in this database. This query helps us analyze database transaction metadata. Here’s an example query using pg_stat_database: SELECT xact_commit, xact_rollback The pg_stat_database catalog stores statistical information about the database. WHERE datname = 'coderpad' Code language: PHP ( php ) Using pg_stat_database To get the coderpad owner who initially created the database, you’d use this query: SELECT a.rolname AS "Owner" In this case, it returns the string 10, which references the OID in the pg_authid catalog. This query would get you information about the coderpad database, like the database owner. WHERE datname = 'coderpad' Code language: JavaScript ( javascript ) This pg_database catalog is system-wide, which means it’s shared across all databases in the cluster.Ī query on pg_database would look something like this: SELECT datdba This row has metadata related to that particular database. ![]() Whenever you run the SQL command CREATE DATABASE, a new row is inserted into the pg_database catalog. The pg_database catalog stores information about Postgres databases available in your cluster. In this section, I’ll talk about how to get database metadata, get the name of the database owner, and extract statistical information about the database, like the number of transactions. Know the size of tables, databases, indexes, etc. ![]() Investigate the data types of columns that have problems in your tables.Be informed of the tables that have no indexes so you can fix performance issues.Investigate the number of full scans, index scans, etc.List all tables in the PostgreSQL cluster.Extract the number of transactions committed to the database.To name a few use cases, you can do the following: Getting PostgreSQL metadata can help you have information about databases, tables, schema, indexes, columns, functions, and even size information. This is useful, especially if the record length is long. One pro tip on CoderPad sandbox is to head over to the right terminal and run this to prettify the output of the SQL command: You can also use CoderPad’s sandbox, which uses PostgreSQL 12. Getting started: Prerequisitiesįollowing this tutorial, you’ll need to write SQL commands in your desired SQL client. Each column starts with “con” except for the oid column, which is the row identifier. These kinds of objects are referred to as “relations”.Ī typical example is a pg_constraint catalog, which stores primary, unique, and foreign keys and table constraints. This is because the pg_class catalog stores all information about tables and other objects that have columns. pg_namespace, which has columns that begin with “nsp”.Īnother interesting example is pg_class, which has columns that start with “rel”.pg_proc, which has columns that start with “pro”.For example, the pg_database has columns starting with “dat”, like datname, which is the database name column. A high percentage of columns – if not all – have a prefix of a combination of three letters of the name after “pg_”. PostgreSQL has some funny naming conventions for the column names of system catalogs. However, most system catalogs are database-specific.Įach system catalog name starts with “pg_”. So you shouldn’t change the system catalogs unless you really know what you’re doing.Ī few system catalogs are shared across all databases in the PostgreSQL cluster. ![]() You can insert new rows, update values, add columns – or potentially mess up your system. These catalogs are regular tables where you can manipulate data as you do with other tables. System catalogs are where a database management system stores schema metadata, such as information about databases, tables, and columns. Each catalog is a collection of schemas, and each schema has a set of tables. When you set up PostgreSQL in your machine, you spin up a PostgreSQL cluster, a server that hosts databases. This tutorial aims to give you insights into how PostgreSQL system catalogs can help you manage your schemas, databases, tables, and even table columns. In this tutorial, you’ll learn about the internal building blocks of PostgreSQL – also known as system catalogs – to see how the PostgreSQL backend is structured. PostgreSQL is a well-known database engine that allows you to write performant SQL queries.
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