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[SPARK-53626][DOCS] Add invalid mixed-type operations to ANSI migration guide #52376

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[SPARK-53626][DOCS] Add invalid mixed-type operations to ANSI migration guide #52376

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3fa00df
invalid mixed-type category
xinrong-meng Sep 17, 2025
9eea7db
fix
xinrong-meng Sep 17, 2025
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76 changes: 76 additions & 0 deletions python/docs/source/user_guide/ansi_migration_guide.ipynb
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Expand Up @@ -147,6 +147,82 @@
"```"
]
},
{
"cell_type": "markdown",
"id": "a9ceb6cb-3bc4-4c23-b74b-84e60fd64e11",
"metadata": {},
"source": [
"### Invalid Mixed-Type Operations\n",
"**ANSI off:** Spark implicitly coerces so these operations succeed.\n",
"\n",
"**ANSI on:** Behaves like pandas, such operations are disallowed and raise errors.\n",
"\n",
"Operation types that show behavior changes under ANSI mode:\n",
"\n",
"- **Decimal–Float Arithmetic**: `/`, `//`, `*`, `%` \n",
"- **Boolean vs. None**: `|`, `&`, `^`"
]
},
{
"cell_type": "markdown",
"id": "2a8d5705-11ea-458c-8528-c7b1b7c88472",
"metadata": {},
"source": [
"Example: Decimal–Float Arithmetic\n",
"```python\n",
">>> import decimal\n",
">>> pser = pd.Series([decimal.Decimal(1), decimal.Decimal(2)])\n",
">>> psser = ps.from_pandas(pser)\n",
"\n",
"# ANSI on\n",
">>> spark.conf.set(\"spark.sql.ansi.enabled\", True)\n",
">>> psser * 0.1\n",
"Traceback (most recent call last):\n",
"...\n",
"TypeError: Multiplication can not be applied to given types.\n",
"\n",
"# ANSI off\n",
">>> spark.conf.set(\"spark.sql.ansi.enabled\", False)\n",
">>> psser * 0.1\n",
"0 0.1\n",
"1 0.2\n",
"dtype: float64\n",
"\n",
"# Pandas\n",
">>> pser * 0.1\n",
"...\n",
"TypeError: unsupported operand type(s) for *: 'decimal.Decimal' and 'float'\n",
"```"
]
},
{
"cell_type": "markdown",
"id": "0d2b8268-4b98-4239-95db-5269f9c658d2",
"metadata": {},
"source": [
"Example: Boolean vs. None\n",
"```python\n",
"# ANSI on\n",
">>> spark.conf.set(\"spark.sql.ansi.enabled\", True)\n",
">>> ps.Series([True, False]) | None\n",
"Traceback (most recent call last):\n",
"...\n",
"TypeError: OR can not be applied to given types.\n",
"\n",
"# ANSI off\n",
">>> spark.conf.set(\"spark.sql.ansi.enabled\", False)\n",
">>> ps.Series([True, False]) | None\n",
"0 False \n",
"1 False\n",
"dtype: bool\n",
"\n",
"# Pandas\n",
">>> pd.Series([True, False]) | None\n",
"...\n",
"TypeError: unsupported operand type(s) for |: 'bool' and 'NoneType'\n",
"```"
]
},
{
"cell_type": "markdown",
"id": "fe146afd",
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