Let’s execute the SELECT * command to see the newly created table: SELECT * FROM author_info For this purpose, the CREATE TABLE AS statement will be executed as follows: CREATE TABLE author_info AS Let's say we want to create a table named " author_info" with the same columns and data as " author_details". We have already created a table named “author_details” that has the following structure: SELECT * FROM author_details Note: If the user wants a table with a different name, they can specify different table columns after the new table name.Įxample 1: How Do I Create a Table via CREATE TABLE AS Statement? WHERE is an optional clause used to specify a specific condition/criteria. Col_list represents the existing table's columns based on which a new table will be defined/created. In the above snippet, new_tab represents the table name to be created. Follow the below syntax to avail the functionality of the Postgres’ CREATE TABLE AS statement: CREATE TABLE new_tab AS It creates the table based on the result-set retrieved by the SELECT query. In Postgres, the CREATE TABLE AS statement allows us to create a table from an existing one. How Do I Create a Table Via CREATE TABLE AS SELECT Statement in Postgres? How to Avoid Table Already Existing Error in Postgres?.How to Create an UNLOGGED Table Via the CREATE TABLE AS SELECT Command in Postgres?.How to Create a TEMPORARY Table Via the CREATE TABLE AS SELECT Command in Postgres?.How Do I Create a Table Via the CREATE TABLE AS SELECT Statement in Postgres?.For this purpose, the following content will be covered in this write-up: This blog post will consider various examples to demonstrate the working of the CREATE TABLE AS statement in Postgres. The newly created table will have the same table structure (e.g., column names, data types, etc.) as the columns in the SELECT query. In this tutorial, you have learned step by step how to create new PostgreSQL tables in Python using psycopg database adapter.Postgres allows us to create a table via the SELECT command for this purpose, the CREATE TABLE statement is used along with an AS clause followed by a SELECT statement. If you use other client tool like pgAdmin, you can view the tables via the table list under the public schema. Public | part_drawings | table | postgresĪs you see can see clearly from the output, we have four tables created successfully in the suppliers database. Second, use the \dt command to display the table list from the suppliers database. py Code language: CSS ( css ) 3) Verify the table creationįirst, log in to the PostgreSQL database server using the psql program. To execute the Python program, you use the following command: python create_table. # close communication with the PostgreSQL database serverĮxcept (Exception, psycopg2.DatabaseError) as error:Ĭreate_tables() Code language: Python ( python ) 2) Execute the Python program # create table one by one for command in commands: #!/usr/bin/python import psycopg2ĭef create_tables (): """ create tables in the PostgreSQL database""" The create_tables() function creates four tables in the suppliers database: vendors, parts, vendor_parts, and part_drawings. Second, inside the create_table.py file, define a new function called create_tables(). Finally, close the communication with the PostgreSQL database server by calling the close() methods of the cursor and connection objects.Ĭreating tables in Python example 1) Create a Python programįirst, create a new file called create_table.py.After that, execute the CREATE TABLE by calling the execute() method of the cursor object.Then, create a cursor object by calling the cursor() method of the connection object.The connect() function returns a connection object. Next, connect to the PostgreSQL database by calling the connect() function.
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