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How to Get Current Date Minus 1 Day in PostgreSQL

In PostgreSQL, the CURRENT_DATE function is used to fetch the current date. To get the current date minus 1 day, we must subtract “1” from the CURRENT_DATE

How to Get Database Size and Table Size in PostgreSQL

In PostgreSQL, built-in functions like pg_database_size(), and pg_relation_size() are used to get the database and table size respectively.

How to Get Current Date and Time in PostgreSQL

PostgreSQL offers multiple functions to get the current date and time with or without the time zone, such as NOW(), CURRENT_TIMESTAMP, LOCALTIMESTAMP, etc.

How to Use LIKE Operator in PostgreSQL

PostgreSQL provides two wildcards: percent % and underscore _ that are used with the aid of the LIKE operator to perform pattern matching.

How to Use DATE_TRUNC() Function in PostgreSQL

In PostgreSQL, the DATE_TRUNC() function trims unnecessary values from the date and time and returns a result with specific precision.

How To Replace a String Using REPLACE() Function in PostgreSQL

The REPLACE() is a very convenient function that is used to search and replace all the appearances of a string with a new substring/text.

How to Find Length of a String in PostgreSQL

In PostgreSQL, the LENGTH() function is used to find the length of a string. It takes a string as a parameter and returns the total number of characters.

How to Describe a Table in PostgreSQL

PostgreSQL provides several ways to describe a table. For example, the “\d” command, “\dt” command, and information_schema.

How to Delete Multiple Rows From a Table in PostgreSQL

In PostgreSQL, the DELETE statement is used with the collaboration of the WHERE clause and IN operator to delete multiple rows from a table.

PostgreSQL Indexes: B-Tree

In older versions of PostgreSQL, a B-tree index only contained pointers to the heap (table) of where a particular set of data could be accessed. This can cause performance issues because we first need to scan the index and then retrieve the data from the table. While Index scans are relatively cheap due to how they store data, table scans can be very expensive because the data can be at any place within the table. Though current enterprise methods of storage have alleviated much of this (SSD/NVME) performance impact, it still exists as we need to search for the data twice.