#CONNECT POSTGRES TO PYTHON TEXT EDITOR HOW TO#
#CONNECT POSTGRES TO PYTHON TEXT EDITOR INSTALL#
#CONNECT POSTGRES TO PYTHON TEXT EDITOR UPDATE#
#CONNECT POSTGRES TO PYTHON TEXT EDITOR PORTABLE#
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Python SQLite - Establishing Connection.

Python PostgreSQL - Database Connection.

For more information about the PyGreSQL package, please visit.

For more information about the psycopg2 package, please visit.

#CONNECT POSTGRES TO PYTHON TEXT EDITOR PORTABLE#

For more information about Python's portable SQL database API, please visit 0249.

Finally, the close() method closes the connection to the database. The getresult() method reads the result data returned by the query. Once you have a Connection object associated with the database, you can query the database directly using raw SQL statements (in this case, a SELECT query on a table named employee). This example creates a Connection object that opens the PostgreSQL database using the specified parameters. Result = conn.query( 'SELECT fname, lname FROM employee' )įor firstname, lastname in result.getresult() :

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Replace username with the PostgreSQL database username, password with the database user's password, and dbname with the database name: #!/usr/bin/pythonĬonn = pg.DB( host='localhost', user=' username', passwd=' password', dbname=' dbname' )

#CONNECT POSTGRES TO PYTHON TEXT EDITOR HOW TO#

The following code sample demonstrates how to use the pg module to connect to a PostgreSQL database. Although it is easy to use, it does not implement Python's portable SQL database API.

The PyGreSQL package also includes a legacy pg module that you can use to connect to PostgreSQL. In the sample above, the only code changes necessary to use a different module are to the import and connect statements. The Cursor object enables you to run the execute() method, which in turn enables you to run raw SQL statements (in this case, a SELECT query on a table named employee).Īs you can see, Python's portable SQL database API makes it very easy to switch between PostgreSQL modules in your code. When you have a Connection object associated with a database, you can create a Cursor object. Because both of these modules use the portable SQL database API interface, they are able to use the code in the doQuery() function without any modifications. This example creates a series of Connection objects that opens the same database using different PostgreSQL modules. M圜onnection = nnect( host=hostname, user=username, password=password, database=database ) M圜onnection = nnect( host=hostname, user=username, password=password, dbname=database ) # Simple routine to run a query on a database and print the results:Ĭur.execute( 'SELECT fname, lname FROM employee' )įor firstname, lastname in cur.fetchall() : In your own code, replace username with the PostgreSQL database username, password with the database user's password, and dbname with the database name: #!/usr/bin/python The sample code works with Python 2.7 and Python 3.x. The following sample Python code demonstrates how to do this, as well as just how easy it is to switch between the different SQL package implementations using the portable SQL database API.

#CONNECT POSTGRES TO PYTHON TEXT EDITOR INSTALL#

To install the PyGreSQL package, type the following command:Ĭode sample using Python's portable SQL database APIĪfter you install a PostgreSQL package in the virtual environment, you are ready to work with actual databases.

To install the psycopg2 package, type the following command:.

Type the command for the package you want to install:

#CONNECT POSTGRES TO PYTHON TEXT EDITOR UPDATE#

To update pip in the virtual environment, type the following command: If you log out of your SSH session (or deactivate the virtual environment by using the deactivate command), make sure you reactivate the virtual environment before following the steps below and running the sample code. All of the following commands in this procedure assume that you are working within the virtual environment. The command prompt now starts with (sqlenv) to indicate that you are working in a Python virtual environment.

To create a virtual environment, type the following commands:.

To set up the Python virtual environment and install a PostgreSQL package, follow these steps: Setting up the Python virtual environment and installing a PostgreSQL package This means that if you switch from one module to another, you can reuse almost all of your existing code (the code sample below demonstrates how to do this).

PyGreSQL: This package contains the pgdb module.īoth of these packages support Python's portable SQL database API.

psycopg2: This package contains the psycopg2 module.

Code sample using Python's portable SQL database APIīefore you can access PostgreSQL databases using Python, you must install one (or more) of the following packages in a virtual environment:.

Setting up the Python virtual environment and installing a PostgreSQL package.

Connect postgres to python text editor