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How to Use PERCENT_RANK in PostgreSQL

In PostgreSQL, the PERCENT_RANK function can be used with PARTITION BY and ORDER BY clauses using ascending and descending order to get a rank for each row.

How to Use PostgreSQL CUBE

The CUBE clause in PostgreSQL can be used under the GROUP BY clause to apply an aggregate function on multilevel columns to generate reports.

How to Use PARTITION BY in PostgreSQL

The PARTITION BY statement is used to create partitions in the tables to keep them efficient by dividing them into smaller tables for quick fetching of data.

How to Import Data into PostgreSQL on AWS RDS Database

Create a PostgreSQL database on the Amazon cloud platform using RDS service and connect to it using its endpoint and import data in it from the local directory.

How to Migrate Local PostgreSQL Database to AWS RDS

Create a backup of the local PostgreSQL database and connect to the AWS RDS database. After that, simply restore the backup file to the RDS database.

How to Use for Loop to Iterate Over a Result Set in PostgreSQL

Postgres allows us to utilize the for loop to loop through a query’s result set. A record-type variable can be declared to keep the rows of a result set returned by the SELECT query.

How Do I Get the Current Time Without Time Zone in PostgreSQL

In Postgres, the “LOCALTIME” function is used to get the current time without zone information. It is executed without parentheses.

How Does the ORDER BY Clause Deal With the NULL Values in PostgreSQL

In PostgreSQL, the ORDER BY clause treats the null entries as the largest values. So, when a table is sorted ascendingly, then the null values will come at the bottom of the table.

How Do I Get the Week Number From a Specific Date in PostgreSQL

Use the EXTRACT() or DATE_PART() function along with the “week” argument to get a week number from a particular date or timestamp.

How to Use GROUP BY Clause on Multiple Columns in PostgreSQL

In PostgreSQL, multiple columns can be used with the GROUP BY clause. Specify a comma between the columns to be grouped when using the GROUP BY clause on multiple columns.