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Use REAL not FLOAT as SQLite column type (#680)

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* Use REAL not FLOAT as SQLite column type, refs #645
* Fix for REAL columns by CSV --detect-types

Refs https://github.com/simonw/sqlite-utils/issues/645#issuecomment-3568947189

* Removed note about strict and REAL
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Simon Willison 2025-11-23 21:37:59 -08:00 • committed by GitHub
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docs/python-api.rst
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@ -548,7 +548,7 @@ This will create a table with the following schema:
"id" INTEGER PRIMARY KEY,
"name" TEXT,
"age" INTEGER,
"weight" FLOAT
"weight" REAL
)
.. _python_api_explicit_create:
@ -1271,11 +1271,11 @@ You can specify the ``col_type`` argument either using a SQLite type as a string
The ``col_type`` is optional - if you omit it the type of ``TEXT`` will be used.
SQLite types you can specify are ``"TEXT"``, ``"INTEGER"``, ``"FLOAT"`` or ``"BLOB"``.
SQLite types you can specify are ``"TEXT"``, ``"INTEGER"``, ``"FLOAT"``, ``"REAL"`` or ``"BLOB"``.
If you pass a Python type, it will be mapped to SQLite types as shown here::
float: "FLOAT"
float: "REAL"
int: "INTEGER"
bool: "INTEGER"
str: "TEXT"
@ -1294,12 +1294,9 @@ If you pass a Python type, it will be mapped to SQLite types as shown here::
np.uint16: "INTEGER"
np.uint32: "INTEGER"
np.uint64: "INTEGER"
np.float16: "FLOAT"
np.float32: "FLOAT"
np.float64: "FLOAT"
.. note::
In sqlite-utils 3.x ``FLOAT`` is used for floating point columns when the correct column type is actually ``REAL``. If you specify ``strict=True`` tables created in strict mode will use the correct column type of ``REAL`` instead. We plan to change this behavior in ``sqlite-utils`` 4.x to always use ``REAL``, but this will represent a minor breaking change and so is being held for the next major release, see issue :issue:`645`.
np.float16: "REAL"
np.float32: "REAL"
np.float64: "REAL"
You can also add a column that is a foreign key reference to another table using the ``fk`` parameter: