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Sai Asish Y 2026-07-15 20:09:00 +00:00 committed by GitHub
commit 48ff506787
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2 changed files with 50 additions and 6 deletions

View file

@ -2783,14 +2783,23 @@ class Table(Queryable):
current_column_pairs = list(self.columns_dict.items())
new_column_pairs = []
copy_from_to = {column: column for column, _ in current_column_pairs}
for name, type_ in current_column_pairs:
type_ = types.get(name) or type_
# Columns whose type is being changed from text to integer/float; their
# empty-string values should be copied as NULL (issue #488).
nullif_empty_columns = set()
for name, old_type in current_column_pairs:
type_ = types.get(name) or old_type
if name in drop:
del [copy_from_to[name]]
continue
new_name = rename.get(name) or name
new_column_pairs.append((new_name, type_))
copy_from_to[name] = new_name
if (
name in types
and COLUMN_TYPE_MAPPING.get(old_type) == "TEXT"
and COLUMN_TYPE_MAPPING.get(type_) in ("INTEGER", "REAL", "FLOAT")
):
nullif_empty_columns.add(name)
if pk is DEFAULT:
pks_renamed = tuple(
@ -2866,10 +2875,16 @@ class Table(Queryable):
if "rowid" not in new_cols:
new_cols.insert(0, "rowid")
old_cols.insert(0, "rowid")
select_exprs = []
for col in old_cols:
if col in nullif_empty_columns:
select_exprs.append("NULLIF({}, '')".format(quote_identifier(col)))
else:
select_exprs.append(quote_identifier(col))
copy_sql = "INSERT INTO {} ({new_cols})\n SELECT {old_cols} FROM {};".format(
quote_identifier(new_table_name),
quote_identifier(self.name),
old_cols=", ".join(quote_identifier(col) for col in old_cols),
old_cols=", ".join(select_exprs),
new_cols=", ".join(quote_identifier(col) for col in new_cols),
)
sqls.append(copy_sql)

View file

@ -23,7 +23,7 @@ import pytest
{"types": {"age": int}},
[
'CREATE TABLE "dogs_new_suffix" (\n "id" INTEGER PRIMARY KEY,\n "name" TEXT,\n "age" INTEGER\n);',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "age")\n SELECT "rowid", "id", "name", "age" FROM "dogs";',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "age")\n SELECT "rowid", "id", "name", NULLIF("age", \'\') FROM "dogs";',
'DROP TABLE "dogs";',
'ALTER TABLE "dogs_new_suffix" RENAME TO "dogs";',
],
@ -53,7 +53,7 @@ import pytest
{"types": {"age": int}, "rename": {"age": "dog_age"}},
[
'CREATE TABLE "dogs_new_suffix" (\n "id" INTEGER PRIMARY KEY,\n "name" TEXT,\n "dog_age" INTEGER\n);',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "dog_age")\n SELECT "rowid", "id", "name", "age" FROM "dogs";',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "dog_age")\n SELECT "rowid", "id", "name", NULLIF("age", \'\') FROM "dogs";',
'DROP TABLE "dogs";',
'ALTER TABLE "dogs_new_suffix" RENAME TO "dogs";',
],
@ -146,7 +146,7 @@ def test_transform_sql_table_with_primary_key(
{"types": {"age": int}},
[
'CREATE TABLE "dogs_new_suffix" (\n "id" INTEGER,\n "name" TEXT,\n "age" INTEGER\n);',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "age")\n SELECT "rowid", "id", "name", "age" FROM "dogs";',
'INSERT INTO "dogs_new_suffix" ("rowid", "id", "name", "age")\n SELECT "rowid", "id", "name", NULLIF("age", \'\') FROM "dogs";',
'DROP TABLE "dogs";',
'ALTER TABLE "dogs_new_suffix" RENAME TO "dogs";',
],
@ -904,3 +904,32 @@ def test_transform_with_unique_constraint_implicit_index(fresh_db):
"You must manually drop this index prior to running this transformation and manually recreate the new index after running this transformation."
in str(excinfo.value)
)
def test_transform_empty_string_to_null_for_numeric_types(fresh_db):
# Issue #488: converting a text column to integer/float should turn
# empty-string values into NULLs instead of leaving them as ''.
rows = fresh_db["rows"]
rows.insert_all(
[
{"id": 1, "weight": "12.5", "count": "3"},
{"id": 2, "weight": "", "count": ""},
{"id": 3, "weight": "0", "count": "0"},
],
pk="id",
)
rows.transform(types={"weight": float, "count": int})
assert rows.columns_dict == {"id": int, "weight": float, "count": int}
assert list(rows.rows) == [
{"id": 1, "weight": 12.5, "count": 3},
{"id": 2, "weight": None, "count": None},
{"id": 3, "weight": 0.0, "count": 0},
]
def test_transform_does_not_nullify_text_columns(fresh_db):
# Empty strings in text columns must be preserved (issue #488).
rows = fresh_db["rows"]
rows.insert_all([{"id": 1, "name": ""}, {"id": 2, "name": "x"}], pk="id")
rows.transform(types={"name": str})
assert list(rows.rows) == [{"id": 1, "name": ""}, {"id": 2, "name": "x"}]