Concepts / File I/O Operations in Python

File I/O Operations in Python

File I/O is the point where a program works with data outside its immediate instructions.

  • Programming

From Python Program to Stored Data

File I/O is the point where a program works with data outside its immediate instructions. In this chapter, the storage target is a SQLite database file. The central question is not only where the data is stored, but also how Python reaches that stored data and performs operations on it.

Python programConnectionmusic.sqliteCursordatabase operationsSQLite database filestored dataconnects toprovides access throughperforms operations on data in
How does data move between a Python program and a SQLite database file during file I/O operations?

The SQLite File as Storage

A SQLite database file is the storage location for the database and the data held in it. In the simple examples described by this chapter, the file is local: it is in the same directory as the Python code being run. The named file used in the source material is music.sqlite.

music.sqlitedatabase fileDatabase datadata stored in the filePython programworks with the datastoresperforms operations on
What does a SQLite database file contain, and how is it related to the data that Python reads or writes?

Connection Before Operations

Definition

The connect operation makes a connection to the database stored in the file music.sqlite in the current directory. If that file does not exist, it will be created.

Think of the connection as establishing which database file the Python program will work with. The connection is associated with music.sqlite. If Python does not find that file in the current directory, the source material states that the file is created. This gives the program a database file as its local storage target.

Python programno selected database fileconnectmusic.sqliteDatabase connectionmusic.sqlite in currentdirectorymusic.sqlitecreated if absentselect fileestablishescreates when absent
What changes when Python connects to the named database file?

Cursor as the Working Handle

Definition

A cursor is like a file handle that can be used to perform operations on the data stored in the database. Calling cursor() is conceptually similar to calling open() when dealing with text files.

The connection identifies the database file, while the cursor provides the working access used for operations on the data in that database. This distinction is useful because it separates two stages: first connect to the database file, then obtain a cursor for working with the stored data.

Worked example

Tracing a local database task

A Python program needs to work with data in music.sqlite, located in the current directory.

  1. 1
    Locate the target

    The target is the local database file named music.sqlite.

  2. 2
    Make the connection

    The connect operation makes a connection to the database stored in music.sqlite. If the file does not exist, it is created.

  3. 3
    Obtain a cursor

    The program calls cursor() to obtain a cursor, which is like a file handle for performing operations on the database data.

  4. 4
    Work with the data

    The cursor is the working access point for operations on data stored in the database.

Result

The data path is: Python program, connection to music.sqlite, cursor, and operations on data stored in the database file.

Python or Database Browser

Python is one way to work with data in SQLite database files. The source material also identifies Database Browser for SQLite as software that can perform many operations more conveniently. Both are presented as ways to work with the SQLite database file, but they serve different working styles: Python represents programmatic work, while Database Browser represents a dedicated software tool.

ApproachWhat the source establishesWhen it may be convenient
PythonPython can be used to work with data in SQLite database files.When the work is being carried out from a Python program.
Database Browser for SQLiteMany operations can be performed more conveniently with this software.When a dedicated database-browser tool is more convenient for the operation.

High-level comparison of the two tools described in the source material.

Pythonprogrammatic workDatabase Browserdedicated softwareSQLite database fileshared storage targetworks withworks with
What is the difference between using Python code and Database Browser software to inspect or modify a SQLite database file?

Common Mistakes

  • Common mistake

    Treating music.sqlite as if it were necessarily stored on a separate database server.

    What it looks like

    Assuming that the word connection means the simple example must use a remote system.

    Why it fails

    The source explains that the simple examples use a local file in the same directory as the Python code.

    Do this instead

    First identify the setup being discussed. In the simple setup, connect makes a connection to the local music.sqlite file.

  • Common mistake

    Using connection and cursor as if they describe the same role.

    What it looks like

    Describing the connection as the file handle used for database operations.

    Why it fails

    The connection is made to the database stored in the file, while the cursor is like a file handle used to perform operations on the stored data.

    Do this instead

    Describe the sequence separately: connect to the database file, then call cursor() to obtain the working handle.

  • Common mistake

    Assuming an absent music.sqlite file makes the connection impossible.

    What it looks like

    Expecting the file to have been created before the connect operation can be used.

    Why it fails

    The source states that if the file does not exist, it will be created.

    Do this instead

    Remember that the described connect operation creates the file when it is absent.

  • Common mistake

    Assuming Python is the only convenient way to work with the SQLite file.

    What it looks like

    Ignoring Database Browser for SQLite when a dedicated tool would be more convenient.

    Why it fails

    The source notes that many operations can be done more conveniently using Database Browser for SQLite.

    Do this instead

    Choose between Python and Database Browser according to the working context described in the chapter.

Practice the Data Path

MEDIUM

A learner says: “The cursor connects Python to the remote database server, and music.sqlite must already exist.” Identify the two inaccurate parts of this statement and replace them with a source-grounded description of the simple local setup.

Hints
  • Separate the role of connect from the role of cursor().
  • Recall where music.sqlite is located in the simple examples.
  • Recall what happens if the file does not exist.

What do you think happens?

In the simple setup, what happens when the connect operation targets music.sqlite in the current directory and that file is absent?

  • The file is created.

  • The cursor is created instead.

  • The database must be located on a separate server.

Reveal answer
Answer:

The file is created.

The source states that if music.sqlite does not exist, the connect operation creates it.

Key Takeaways

  1. 1
    In the simple setup, Python works with data stored in the local SQLite database file music.sqlite.
  2. 2
    The connect operation makes a connection to that database file in the current directory.
  3. 3
    If music.sqlite does not exist, the described connect operation creates it.
  4. 4
    A cursor is like a file handle and is used to perform operations on data stored in the database.
  5. 5
    Database Browser for SQLite is another tool that can make many operations more convenient.

At a glance

  • A SQLite database file is the local storage target in the simple Python examples.
  • Connecting identifies the database stored in music.sqlite, and the file is created if it is absent.
  • The cursor provides file-handle-like access for operations on the database data.
  • Python and Database Browser for SQLite are two ways to work with the same kind of database file.

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