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James

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Published: mopteloto1975

Language: English

PostgreSQL Python: Querying Data.Summary : in this tutorial, you will learn how to query data from the PostgreSQL tables in Python using psycopg database adapter.The steps for querying data from PostgreSQL table in Python.To query data from one or more PostgreSQL tables in Python, you use the following steps.First, establish a connection to the PostgreSQL database server by calling the connect() function of the psycopg module.If the connection was created successfully, the connect() function returns a new connection object, otherwise, it throws a DatabaseError exception.Next, create a new cursor by calling the cursor() method of the connection object. The cursor object is used to execute SELECT statements.Then, execute a SELECT statement by calling the execute() method. If you want to pass values to the SELECT statement, you use the placeholder ( %s ) in the SELECT statement and bind the input values when you call the execute() method as follows.After that, process the result set returned by the stored procedure using the fetchone() , fetchall() , or fetchmany() method.The fetchone() fetches the next row in the result set. It returns a single tuple or None when no more row is available. The fetchmany(size=cursor.arraysize) fetches the next set of rows specified by the size parameter. If you omit this parameter, the arraysize will determine the number of rows to be fetched. The fetchmany() method returns a list of tuples or an empty list if no more rows available. The fetchall() fetches all rows in the result set and returns a list of tuples. If there are no rows to fetch, the fetchall() method returns an empty list.Finally, close the communication with the PostgreSQL by calling the close() method of the cursor and connection objects.

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