From a48879bbd1f9bbf0849e4dbb26db62ebc127dbef Mon Sep 17 00:00:00 2001 From: web-svb <47003509+web-svb@users.noreply.github.com> Date: Mon, 14 Apr 2025 21:28:53 +0000 Subject: [PATCH] Remove duplicate "Data Types" node from DDL Queries --- .../content/data-types@fvEgtFP7xvkq_D4hYw3gz.md | 8 -------- 1 file changed, 8 deletions(-) delete mode 100644 src/data/roadmaps/postgresql-dba/content/data-types@fvEgtFP7xvkq_D4hYw3gz.md diff --git a/src/data/roadmaps/postgresql-dba/content/data-types@fvEgtFP7xvkq_D4hYw3gz.md b/src/data/roadmaps/postgresql-dba/content/data-types@fvEgtFP7xvkq_D4hYw3gz.md deleted file mode 100644 index 57d243018..000000000 --- a/src/data/roadmaps/postgresql-dba/content/data-types@fvEgtFP7xvkq_D4hYw3gz.md +++ /dev/null @@ -1,8 +0,0 @@ -# Data Types in PostgreSQL - -PostgreSQL offers a comprehensive set of data types to cater to diverse data needs, including numeric types like `INTEGER`, `FLOAT`, and `SERIAL` for auto-incrementing fields; character types such as `VARCHAR` and `TEXT` for variable-length text; and temporal types like `DATE`, `TIME`, and `TIMESTAMP` for handling date and time data. Additionally, PostgreSQL supports `BOOLEAN` for true/false values, `ENUM` for enumerated lists, and composite types for complex structures. It also excels with `JSON` and `JSONB` for storing and querying semi-structured data, arrays for storing multiple values in a single field, and geometric types for spatial data. These data types ensure flexibility and robust data management for various applications. - -Learn more from the following resources: - -- [@article@PostgreSQL® Data Types: Mappings to SQL, JDBC, and Java Data Types](https://www.instaclustr.com/blog/postgresql-data-types-mappings-to-sql-jdbc-and-java-data-types/) -- [@official@Data Types](https://www.postgresql.org/docs/current/datatype.html) \ No newline at end of file