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[GitHub] [spark] zero323 opened a new pull request #34146: [SPARK-36894][PYTHON] Support str schema in RDD.toDF annotations
zero323 opened a new pull request #34146:
URL: https://github.com/apache/spark/pull/34146
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### What changes were proposed in this pull request?
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This pull request adds support for `str` schema in PySpark `RDD.toDF` method.
### Why are the changes needed?
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`str` is not only supported, but also mentioned in the method documentation.
### Does this PR introduce _any_ user-facing change?
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Type checker only. The following, will be now accepted as a valid `toDF` call:
```python
sc.parallelize([("a", 1)]).toDF(schema="foo string, bar int")
```
### How was this patch tested?
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Existing tests.
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[GitHub] [spark] zero323 commented on pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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zero323 commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-958971964
Merged to master.
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[GitHub] [spark] zero323 closed pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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zero323 closed pull request #34146:
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[GitHub] [spark] zero323 commented on pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
Posted by GitBox <gi...@apache.org>.
zero323 commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-959411333
Thanks @sarutak, on it.
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sarutak commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-959136935
@zero323 Sorry but I'll revert this because of Python linter failure on GA.
I've retried but it still failed.
Could you check it out?
https://github.com/apache/spark/runs/4093063784?check_suite_focus=true#step:14:50
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[GitHub] [spark] zero323 commented on a change in pull request #34146: [SPARK-36894][PYTHON] Synchronize RDD.toDF annotations with SparkSession.createDataFrame variants.
Posted by GitBox <gi...@apache.org>.
zero323 commented on a change in pull request #34146:
URL: https://github.com/apache/spark/pull/34146#discussion_r730054319
##########
File path: python/pyspark/sql/session.py
##########
@@ -646,23 +647,14 @@ def createDataFrame(
def createDataFrame(
self,
data: Union[
- "RDD[Union[DateTimeLiteral, LiteralType, DecimalLiteral]]",
- Iterable[Union["DateTimeLiteral", "LiteralType", "DecimalLiteral"]],
+ "RDD[AtomicValue]",
+ Iterable[AtomicValue],
],
schema: Union[AtomicType, str],
verifySchema: bool = ...,
) -> DataFrame:
...
- @overload
- def createDataFrame(
- self,
- data: Union["RDD[RowLike]", Iterable["RowLike"]],
- schema: Union[StructType, str],
- verifySchema: bool = ...,
- ) -> DataFrame:
- ...
Review comment:
This is not an applicable variant ‒ if schema is `Union[StructType, str]` schema is inferred and only the names are used.
##########
File path: python/pyspark/sql/_typing.pyi
##########
@@ -42,6 +42,8 @@ AtomicDataTypeOrString = Union[pyspark.sql.types.AtomicType, str]
DataTypeOrString = Union[pyspark.sql.types.DataType, str]
OptionalPrimitiveType = Optional[PrimitiveType]
+AtomicValue = TypeVar("AtomicValue", datetime.datetime, datetime.date, decimal.Decimal, bool, str, int, float)
Review comment:
Should it be covariant?
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zero323 commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-944572307
__Note__:
This variant is dropped, because it is non-functional:
https://github.com/apache/spark/blob/722ac1b8b7f86fdeedf20cc11c7f547e7038029c/python/pyspark/sql/session.py#L636-L642
If only names are provided, we infer schema and there is no verification.
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[GitHub] [spark] zero323 closed pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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zero323 closed pull request #34146:
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[GitHub] [spark] zero323 edited a comment on pull request #34146: [SPARK-36894][PYTHON] Synchronize RDD.toDF annotations with SparkSession.createDataFrame variants.
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zero323 edited a comment on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-944572307
__Note__:
This variant is dropped, because it is not functional:
https://github.com/apache/spark/blob/722ac1b8b7f86fdeedf20cc11c7f547e7038029c/python/pyspark/sql/session.py#L636-L642
If only names are provided, we infer schema and there is no verification.
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zero323 commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-930606459
FYI @ueshin
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zero323 commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-930607007
__Note__
I am going to keep it as draft for now, because I realized we prefer to extend the scope of the ticket to synchronize `RDD.toDF` with `SparkSession.createDataFrame`.
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[GitHub] [spark] zero323 commented on a change in pull request #34146: [SPARK-36894][PYTHON] Support str schema in RDD.toDF annotations
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zero323 commented on a change in pull request #34146:
URL: https://github.com/apache/spark/pull/34146#discussion_r719235781
##########
File path: python/pyspark/rdd.pyi
##########
@@ -445,11 +445,18 @@ class RDD(Generic[T]):
@overload
def toDF(
self: RDD[RowLike],
- schema: Optional[List[str]] = ...,
+ schema: Optional[Union[List[str], Tuple[str, ...]]] = ...,
sampleRatio: Optional[float] = ...,
) -> DataFrame: ...
@overload
- def toDF(self: RDD[RowLike], schema: Optional[StructType] = ...) -> DataFrame: ...
+ def toDF(
+ self: RDD[RowLike], schema: Optional[Union[StructType, str]] = ...
+ ) -> DataFrame: ...
+ @overload
+ def toDF(
+ self: RDD[Union[DateTimeLiteral, LiteralType, DecimalLiteral]],
Review comment:
It seems like this part will requires some changes (switch to `TypeVar`). I'll investigate this and provide an update.
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[GitHub] [spark] SparkQA commented on pull request #34146: [SPARK-36894][SPARK-37077[PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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URL: https://github.com/apache/spark/pull/34146#issuecomment-948085673
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[GitHub] [spark] SparkQA commented on pull request #34146: [SPARK-36894][SPARK-37077[PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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SparkQA commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-956743757
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[GitHub] [spark] sarutak commented on pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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sarutak commented on pull request #34146:
URL: https://github.com/apache/spark/pull/34146#issuecomment-959136935
@zero323 Sorry but I'll revert this because of Python linter failure on GA.
I've retried but it still failed.
Could you check it out?
https://github.com/apache/spark/runs/4093063784?check_suite_focus=true#step:14:50
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[GitHub] [spark] zero323 closed pull request #34146: [SPARK-36894][SPARK-37077][PYTHON] Synchronize RDD.toDF annotations with SparkSession and SQLContext .createDataFrame variants.
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zero323 closed pull request #34146:
URL: https://github.com/apache/spark/pull/34146
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