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streaming.pyi
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streaming.pyi
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# Stubs for pyspark.sql.streaming (Python 3.5)
#
from typing import overload
from typing import Any, Callable, Dict, List, Optional, Union
from pyspark.sql._typing import SupportsProcess, OptionalPrimitiveType
from pyspark.sql.context import SQLContext
from pyspark.sql.dataframe import DataFrame
from pyspark.sql.readwriter import OptionUtils
from pyspark.sql.types import Row, StructType
from pyspark.sql.utils import StreamingQueryException
from py4j.java_gateway import JavaObject # type: ignore[import]
class StreamingQuery:
def __init__(self, jsq: JavaObject) -> None: ...
@property
def id(self) -> str: ...
@property
def runId(self) -> str: ...
@property
def name(self) -> str: ...
@property
def isActive(self) -> bool: ...
def awaitTermination(self, timeout: Optional[int] = ...) -> Optional[bool]: ...
@property
def status(self) -> Dict[str, Any]: ...
@property
def recentProgress(self) -> List[Dict[str, Any]]: ...
@property
def lastProgress(self) -> Optional[Dict[str, Any]]: ...
def processAllAvailable(self) -> None: ...
def stop(self) -> None: ...
def explain(self, extended: bool = ...) -> None: ...
def exception(self) -> Optional[StreamingQueryException]: ...
class StreamingQueryManager:
def __init__(self, jsqm: JavaObject) -> None: ...
@property
def active(self) -> List[StreamingQuery]: ...
def get(self, id: str) -> StreamingQuery: ...
def awaitAnyTermination(self, timeout: Optional[int] = ...) -> bool: ...
def resetTerminated(self) -> None: ...
class DataStreamReader(OptionUtils):
def __init__(self, spark: SQLContext) -> None: ...
def format(self, source: str) -> DataStreamReader: ...
def schema(self, schema: Union[StructType, str]) -> DataStreamReader: ...
def option(self, key: str, value: OptionalPrimitiveType) -> DataStreamReader: ...
def options(self, **options: OptionalPrimitiveType) -> DataStreamReader: ...
def load(
self,
path: Optional[str] = ...,
format: Optional[str] = ...,
schema: Optional[StructType] = ...,
**options: OptionalPrimitiveType
) -> DataFrame: ...
def json(
self,
path: str,
schema: Optional[Union[StructType, str]] = ...,
primitivesAsString: Optional[Union[bool, str]] = ...,
prefersDecimal: Optional[Union[bool, str]] = ...,
allowComments: Optional[Union[bool, str]] = ...,
allowUnquotedFieldNames: Optional[Union[bool, str]] = ...,
allowSingleQuotes: Optional[Union[bool, str]] = ...,
allowNumericLeadingZero: Optional[Union[bool, str]] = ...,
allowBackslashEscapingAnyCharacter: Optional[Union[bool, str]] = ...,
mode: Optional[str] = ...,
columnNameOfCorruptRecord: Optional[str] = ...,
dateFormat: Optional[str] = ...,
timestampFormat: Optional[str] = ...,
multiLine: Optional[Union[bool, str]] = ...,
allowUnquotedControlChars: Optional[Union[bool, str]] = ...,
lineSep: Optional[str] = ...,
locale: Optional[str] = ...,
dropFieldIfAllNull: Optional[Union[bool, str]] = ...,
encoding: Optional[str] = ...,
recursiveFileLookup: Optional[bool] = ...,
) -> DataFrame: ...
def orc(
self,
path: str,
mergeSchema: Optional[bool] = ...,
recursiveFileLookup: Optional[bool] = ...,
) -> DataFrame: ...
def parquet(
self,
path: str,
mergeSchema: Optional[bool] = ...,
recursiveFileLookup: Optional[bool] = ...,
) -> DataFrame: ...
def text(
self,
path: str,
wholetext: bool = ...,
lineSep: Optional[str] = ...,
recursiveFileLookup: Optional[bool] = ...,
) -> DataFrame: ...
def csv(
self,
path: str,
schema: Optional[Union[StructType, str]] = ...,
sep: Optional[str] = ...,
encoding: Optional[str] = ...,
quote: Optional[str] = ...,
escape: Optional[str] = ...,
comment: Optional[str] = ...,
header: Optional[Union[bool, str]] = ...,
inferSchema: Optional[Union[bool, str]] = ...,
ignoreLeadingWhiteSpace: Optional[Union[bool, str]] = ...,
ignoreTrailingWhiteSpace: Optional[Union[bool, str]] = ...,
nullValue: Optional[str] = ...,
nanValue: Optional[str] = ...,
positiveInf: Optional[str] = ...,
negativeInf: Optional[str] = ...,
dateFormat: Optional[str] = ...,
timestampFormat: Optional[str] = ...,
maxColumns: Optional[Union[int, str]] = ...,
maxCharsPerColumn: Optional[Union[int, str]] = ...,
mode: Optional[str] = ...,
columnNameOfCorruptRecord: Optional[str] = ...,
multiLine: Optional[Union[bool, str]] = ...,
charToEscapeQuoteEscaping: Optional[Union[bool, str]] = ...,
enforceSchema: Optional[Union[bool, str]] = ...,
emptyValue: Optional[str] = ...,
locale: Optional[str] = ...,
lineSep: Optional[str] = ...,
) -> DataFrame: ...
class DataStreamWriter:
def __init__(self, df: DataFrame) -> None: ...
def outputMode(self, outputMode: str) -> DataStreamWriter: ...
def format(self, source: str) -> DataStreamWriter: ...
def option(self, key: str, value: OptionalPrimitiveType) -> DataStreamWriter: ...
def options(self, **options: OptionalPrimitiveType) -> DataStreamWriter: ...
@overload
def partitionBy(self, *cols: str) -> DataStreamWriter: ...
@overload
def partitionBy(self, __cols: List[str]) -> DataStreamWriter: ...
def queryName(self, queryName: str) -> DataStreamWriter: ...
@overload
def trigger(self, processingTime: str) -> DataStreamWriter: ...
@overload
def trigger(self, once: bool) -> DataStreamWriter: ...
@overload
def trigger(self, continuous: bool) -> DataStreamWriter: ...
def start(
self,
path: Optional[str] = ...,
format: Optional[str] = ...,
outputMode: Optional[str] = ...,
partitionBy: Optional[Union[str, List[str]]] = ...,
queryName: Optional[str] = ...,
**options: OptionalPrimitiveType
) -> StreamingQuery: ...
@overload
def foreach(self, f: Callable[[Row], None]) -> DataStreamWriter: ...
@overload
def foreach(self, f: SupportsProcess) -> DataStreamWriter: ...
def foreachBatch(
self, func: Callable[[DataFrame, int], None]
) -> DataStreamWriter: ...