Streaming

class StreamingContext:
    """Main entry point for Spark Streaming functionality."""
    
    def __init__(self, sparkContext, batchDuration):
        """
        Create StreamingContext.
        
        Parameters:
        - sparkContext (SparkContext): Spark context
        - batchDuration: Batch duration for micro-batches
        """
    
    def socketTextStream(self, hostname, port, storageLevel=StorageLevel.MEMORY_AND_DISK_SER_2):
        """
        Create input stream from TCP socket.
        
        Parameters:
        - hostname (str): Hostname to connect to
        - port (int): Port to connect to  
        - storageLevel (StorageLevel): Storage level for received data
        
        Returns:
        DStream of strings
        """
    
    def textFileStream(self, directory):
        """
        Create input stream that monitors directory for new files.
        
        Parameters:
        - directory (str): Directory to monitor
        
        Returns:
        DStream of strings
        """
    
    def queueStream(self, rdds, oneAtATime=True, default=None):
        """
        Create input stream from queue of RDDs.
        
        Parameters:
        - rdds: Queue of RDDs
        - oneAtATime (bool): Process one RDD at a time
        - default: Default RDD if queue is empty
        
        Returns:
        DStream
        """
    
    def start(self):
        """Start the streaming context."""
    
    def stop(self, stopSparkContext=True, stopGraceFully=False):
        """
        Stop the streaming context.
        
        Parameters:
        - stopSparkContext (bool): Whether to stop SparkContext
        - stopGraceFully (bool): Whether to stop gracefully
        """
    
    def awaitTermination(self, timeout=None):
        """Wait for the streaming context to terminate."""
    
    def checkpoint(self, directory):
        """
        Set checkpoint directory.
        
        Parameters:
        - directory (str): Checkpoint directory
        """

class DStream:
    """Discretized stream representing continuous stream of data."""
    
    def map(self, f):
        """
        Apply function to each element of the DStream.
        
        Parameters:
        - f: Function to apply
        
        Returns:
        New DStream
        """
    
    def filter(self, f):
        """
        Filter elements of the DStream.
        
        Parameters:
        - f: Filter function
        
        Returns:
        Filtered DStream
        """
    
    def flatMap(self, f):
        """
        Apply function and flatten results.
        
        Parameters:
        - f: Function returning iterable
        
        Returns:
        Flattened DStream
        """
    
    def union(self, other):
        """
        Union with another DStream.
        
        Parameters:
        - other (DStream): Another DStream
        
        Returns:
        Union DStream
        """
    
    def reduce(self, f):
        """
        Reduce elements using function.
        
        Parameters:
        - f: Reduce function
        
        Returns:
        DStream with reduced elements
        """
    
    def reduceByKey(self, func, numPartitions=None):
        """
        Reduce by key for paired DStream.
        
        Parameters:
        - func: Reduce function
        - numPartitions (int): Number of partitions
        
        Returns:
        DStream with reduced values per key
        """
    
    def groupByKey(self, numPartitions=None):
        """
        Group by key for paired DStream.
        
        Parameters:
        - numPartitions (int): Number of partitions
        
        Returns:
        DStream with grouped values per key
        """
    
    def countByValue(self):
        """Count occurrences of each element."""
    
    def foreachRDD(self, func):
        """
        Apply function to each RDD in the DStream.
        
        Parameters:
        - func: Function to apply to RDDs
        """
    
    def saveAsTextFiles(self, prefix, suffix=None):
        """
        Save DStream as text files.
        
        Parameters:
        - prefix (str): File prefix
        - suffix (str): File suffix
        """
    
    def window(self, windowDuration, slideDuration=None):
        """
        Create windowed DStream.
        
        Parameters:
        - windowDuration: Window duration
        - slideDuration: Slide duration
        
        Returns:
        Windowed DStream
        """
    
    def reduceByWindow(self, reduceFunc, invReduceFunc, windowDuration, slideDuration):
        """
        Reduce over sliding window.
        
        Parameters:
        - reduceFunc: Reduce function
        - invReduceFunc: Inverse reduce function  
        - windowDuration: Window duration
        - slideDuration: Slide duration
        
        Returns:
        DStream with windowed reductions
        """
    
    def transform(self, func):
        """
        Transform each RDD using function.
        
        Parameters:
        - func: Transformation function
        
        Returns:
        Transformed DStream
        """
    
    def cache(self):
        """Cache the DStream."""
    
    def checkpoint(self, interval):
        """
        Enable checkpointing.
        
        Parameters:
        - interval: Checkpoint interval
        """

class StreamingListener:
    """Listener for streaming events."""
    
    def onBatchCompleted(self, batchCompleted):
        """Called when batch processing completes."""
    
    def onBatchStarted(self, batchStarted):
        """Called when batch processing starts."""
    
    def onOutputOperationCompleted(self, outputOperationCompleted):
        """Called when output operation completes."""
    
    def onOutputOperationStarted(self, outputOperationStarted):
        """Called when output operation starts."""
    
    def onReceiverError(self, receiverError):
        """Called when receiver encounters error."""
    
    def onReceiverStarted(self, receiverStarted):
        """Called when receiver starts."""
    
    def onReceiverStopped(self, receiverStopped):
        """Called when receiver stops."""

class DataStreamReader:
    """Interface for reading streaming data into DataFrames."""
    
    def format(self, source):
        """
        Specify data source format.
        
        Parameters:
        - source (str): Data source format
        
        Returns:
        DataStreamReader
        """
    
    def option(self, key, value):
        """
        Add input option.
        
        Parameters:
        - key (str): Option key
        - value: Option value
        
        Returns:
        DataStreamReader
        """
    
    def options(self, **options):
        """
        Add input options.
        
        Parameters:
        - options: Keyword options
        
        Returns:
        DataStreamReader
        """
    
    def schema(self, schema):
        """
        Specify input schema.
        
        Parameters:
        - schema: Schema definition
        
        Returns:
        DataStreamReader
        """
    
    def load(self, path=None, format=None, schema=None, **options):
        """
        Load streaming data.
        
        Parameters:
        - path (str): Input path
        - format (str): Data format
        - schema: Input schema
        - options: Additional options
        
        Returns:
        Streaming DataFrame
        """
    
    def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=None, comment=None, header=None, inferSchema=None, ignoreLeadingWhiteSpace=None, ignoreTrailingWhiteSpace=None, nullValue=None, nanValue=None, positiveInf=None, negativeInf=None, dateFormat=None, timestampFormat=None, maxColumns=None, maxCharsPerColumn=None, maxFilesPerTrigger=None, latestFirst=None, maxMalformedLogPerPartition=None, mode=None, columnNameOfCorruptRecord=None, multiLine=None, charToEscapeQuoteEscaping=None, pathGlobFilter=None, recursiveFileLookup=None, modifiedBefore=None, modifiedAfter=None):
        """Read CSV files as streaming DataFrame."""
    
    def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None, allowComments=None, allowUnquotedFieldNames=None, allowSingleQuotes=None, allowNumericLeadingZero=None, allowBackslashEscapingAnyCharacter=None, mode=None, columnNameOfCorruptRecord=None, dateFormat=None, timestampFormat=None, multiLine=None, allowUnquotedControlChars=None, pathGlobFilter=None, recursiveFileLookup=None, modifiedBefore=None, modifiedAfter=None, maxFilesPerTrigger=None, latestFirst=None):
        """Read JSON files as streaming DataFrame."""
    
    def parquet(self, path, mergeSchema=None, pathGlobFilter=None, recursiveFileLookup=None, modifiedBefore=None, modifiedAfter=None, maxFilesPerTrigger=None, latestFirst=None):
        """Read Parquet files as streaming DataFrame."""
    
    def text(self, path, wholetext=False, lineSep=None, pathGlobFilter=None, recursiveFileLookup=None, modifiedBefore=None, modifiedAfter=None, maxFilesPerTrigger=None, latestFirst=None):
        """Read text files as streaming DataFrame."""

class DataStreamWriter:
    """Interface for writing streaming DataFrames."""
    
    def outputMode(self, outputMode):
        """
        Specify output mode.
        
        Parameters:
        - outputMode (str): Output mode ('append', 'complete', 'update')
        
        Returns:
        DataStreamWriter
        """
    
    def format(self, source):
        """
        Specify output format.
        
        Parameters:
        - source (str): Output format
        
        Returns:
        DataStreamWriter
        """
    
    def option(self, key, value):
        """
        Add output option.
        
        Parameters:
        - key (str): Option key
        - value: Option value
        
        Returns:
        DataStreamWriter
        """
    
    def options(self, **options):
        """
        Add output options.
        
        Parameters:
        - options: Keyword options
        
        Returns:
        DataStreamWriter
        """
    
    def partitionBy(self, *cols):
        """
        Partition output by columns.
        
        Parameters:
        - cols: Partition columns
        
        Returns:
        DataStreamWriter
        """
    
    def queryName(self, queryName):
        """
        Specify query name.
        
        Parameters:
        - queryName (str): Query name
        
        Returns:
        DataStreamWriter
        """
    
    def trigger(self, processingTime=None, once=None, continuous=None, availableNow=None):
        """
        Set trigger for stream processing.
        
        Parameters:
        - processingTime (str): Processing time interval
        - once (bool): Process once and stop
        - continuous (str): Continuous processing interval
        - availableNow (bool): Process available data and stop
        
        Returns:
        DataStreamWriter
        """
    
    def start(self, path=None, format=None, outputMode=None, partitionBy=None, queryName=None, **options):
        """
        Start streaming query.
        
        Parameters:
        - path (str): Output path
        - format (str): Output format
        - outputMode (str): Output mode
        - partitionBy: Partition columns
        - queryName (str): Query name
        - options: Additional options
        
        Returns:
        StreamingQuery
        """
    
    def foreach(self, f):
        """
        Apply function to each row.
        
        Parameters:
        - f: Function to apply
        
        Returns:
        StreamingQuery
        """
    
    def foreachBatch(self, func):
        """
        Apply function to each micro-batch.
        
        Parameters:
        - func: Function to apply to batches
        
        Returns:
        StreamingQuery
        """

class StreamingQuery:
    """Handle for streaming query."""
    
    @property
    def id(self):
        """Unique identifier of the query."""
    
    @property
    def name(self):
        """Name of the query."""
    
    @property
    def isActive(self):
        """Whether the query is active."""
    
    def start(self):
        """Start the query."""
    
    def stop(self):
        """Stop the execution of the query."""
    
    def awaitTermination(self, timeout=None):
        """
        Wait for termination of the query.
        
        Parameters:
        - timeout (int): Timeout in seconds
        """
    
    def processAllAvailable(self):
        """Block until all available data is processed."""
    
    def lastProgress(self):
        """Progress information of the last trigger."""
    
    def recentProgress(self):
        """Progress information of recent triggers."""
    
    def status(self):
        """Current status of the query."""
    
    def exception(self):
        """Exception that caused the query to stop."""

class StreamingQueryException(Exception):
    """Exception thrown by streaming query."""
    pass

class StreamingQueryStatus:
    """Status of a streaming query."""
    pass

class StreamingQueryProgress:
    """Progress information of a streaming query."""
    pass