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sqlite3

A module in the Python standard library for working with SQLite databases. It provides an interface conforming to the DB-API 2.0 specification and is the default way for Python developers to access SQLite.

Timeline (last 90 days)

Oct 29

In Python's sqlite3, fetchone() returns the next row on each call and returns None when called after all rows are consumed; fetchall() returns a list of all remaining rows at once, returning an empty list when there is no data.

Unverified50%
Oct 29

In Python's sqlite3 module, connect() returns a connection object, which is a live link between the program and the database.

Unverified50%
Oct 29

cursor() creates a cursor object, which is responsible for sending SQL and iterating over the results row by row.

Unverified50%
Oct 29

execute() can execute only one SQL statement at a time; putting multiple statements into the same execute() triggers a ProgrammingError.

Unverified50%
Oct 29

In Python's sqlite3, an insert operation opens a transaction; if the connection is closed without calling commit(), uncommitted changes are discarded, but table creation (DDL) statements take effect immediately and survive.

Unverified50%
Oct 29

In Python 3.6 and later versions, the default value of sqlite3's isolation_level is "DEFERRED"; a transaction begins when the first data-modification statement is executed and ends only when commit() or rollback() is explicitly called.

Unverified50%
Oct 17

Lazy cursors are a common pitfall of many database drivers: for example, in Python's sqlite3, the cursor returned by `execute()` does not fetch all results immediately, and if `fetchall()` is not called or the cursor is not iterated, the query may not be fully consumed and no exception is raised.

Unverified50%
Oct 13

The sqlite3 interface is designed for generality and standardization rather than for the convenience of everyday use, causing developers to repeatedly write boilerplate code such as creating connections, creating cursors, executing SQL, iterating over result tuples, manually mapping to dictionaries or objects, handling commits and rollbacks, and closing connections.

Unverified50%
Oct 13

Even when using row_factory to convert results into sqlite3.Row objects, type conversions for bool, dates, JSON fields and the like still need to be written by hand.

Unverified50%
Oct 11

Libraries such as sqlite3, psycopg2, and pymysql all implement the DB-API 2.0 specification.

Unverified50%

2 more timeline events

All Facts (13)

Unverified

macOS上sqlite3等内置REPL使用的是libedit而非readline,这是其交互体验较差的原因

90%
Unverified

In Python's sqlite3, fetchone() returns the next row on each call and returns None when called after all rows are consumed; fetchall() returns a list of all remaining rows at once, returning an empty list when there is no data.

50%
Unverified

In Python's sqlite3 module, connect() returns a connection object, which is a live link between the program and the database.

50%
Unverified

cursor() creates a cursor object, which is responsible for sending SQL and iterating over the results row by row.

50%
Unverified

execute() can execute only one SQL statement at a time; putting multiple statements into the same execute() triggers a ProgrammingError.

50%
Unverified

In Python's sqlite3, an insert operation opens a transaction; if the connection is closed without calling commit(), uncommitted changes are discarded, but table creation (DDL) statements take effect immediately and survive.

50%
Unverified

In Python 3.6 and later versions, the default value of sqlite3's isolation_level is "DEFERRED"; a transaction begins when the first data-modification statement is executed and ends only when commit() or rollback() is explicitly called.

50%
Unverified

Lazy cursors are a common pitfall of many database drivers: for example, in Python's sqlite3, the cursor returned by `execute()` does not fetch all results immediately, and if `fetchall()` is not called or the cursor is not iterated, the query may not be fully consumed and no exception is raised.

50%
Unverified

The sqlite3 interface is designed for generality and standardization rather than for the convenience of everyday use, causing developers to repeatedly write boilerplate code such as creating connections, creating cursors, executing SQL, iterating over result tuples, manually mapping to dictionaries or objects, handling commits and rollbacks, and closing connections.

50%
Unverified

Even when using row_factory to convert results into sqlite3.Row objects, type conversions for bool, dates, JSON fields and the like still need to be written by hand.

50%
Unverified

Libraries such as sqlite3, psycopg2, and pymysql all implement the DB-API 2.0 specification.

50%
Unverified

The standard library sqlite3 does not expose any interface for creating custom virtual tables at all, whereas APSW fully maps this mechanism to Python through classes such as VTTable and VTCursor.

50%
Unverified

For the vast majority of applications, the standard library sqlite3 is a reasonable default choice; APSW is more suitable for building SQLite extensions, database tools, and scenarios that need to extract the full performance of SQLite.

50%

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