spark-instrumented-optimizer/python/pyspark/sql/catalog.pyi
Yikun Jiang b43f7e6a97 [SPARK-35019][PYTHON][SQL] Fix type hints mismatches in pyspark.sql.*
### What changes were proposed in this pull request?
Fix type hints mismatches in pyspark.sql.*

### Why are the changes needed?
There were some mismatches in pyspark.sql.*

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
dev/lint-python passed.

Closes #32122 from Yikun/SPARK-35019.

Authored-by: Yikun Jiang <yikunkero@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2021-04-13 11:21:13 +09:00

65 lines
2.7 KiB
Python

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Any, Callable, List, Optional
from pyspark.sql._typing import UserDefinedFunctionLike
from pyspark.sql.dataframe import DataFrame
from pyspark.sql.session import SparkSession
from pyspark.sql.types import DataType, StructType
from collections import namedtuple
Database = namedtuple("Database", "name description locationUri")
Table = namedtuple("Table", "name database description tableType isTemporary")
Column = namedtuple("Column", "name description dataType nullable isPartition isBucket")
Function = namedtuple("Function", "name description className isTemporary")
class Catalog:
def __init__(self, sparkSession: SparkSession) -> None: ...
def currentDatabase(self) -> str: ...
def setCurrentDatabase(self, dbName: str) -> None: ...
def listDatabases(self) -> List[Database]: ...
def listTables(self, dbName: Optional[str] = ...) -> List[Table]: ...
def listFunctions(self, dbName: Optional[str] = ...) -> List[Function]: ...
def listColumns(
self, tableName: str, dbName: Optional[str] = ...
) -> List[Column]: ...
def createTable(
self,
tableName: str,
path: Optional[str] = ...,
source: Optional[str] = ...,
schema: Optional[StructType] = ...,
description: Optional[str] = ...,
**options: str
) -> DataFrame: ...
def dropTempView(self, viewName: str) -> None: ...
def dropGlobalTempView(self, viewName: str) -> None: ...
def registerFunction(
self, name: str, f: Callable[..., Any], returnType: DataType = ...
) -> UserDefinedFunctionLike: ...
def isCached(self, tableName: str) -> bool: ...
def cacheTable(self, tableName: str) -> None: ...
def uncacheTable(self, tableName: str) -> None: ...
def clearCache(self) -> None: ...
def refreshTable(self, tableName: str) -> None: ...
def recoverPartitions(self, tableName: str) -> None: ...
def refreshByPath(self, path: str) -> None: ...