trait StreamingQuery extends AnyRef
A handle to a query that is executing continuously in the background as new data arrives. All these methods are thread-safe.
- Annotations
 - @Evolving()
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 - StreamingQuery.scala
 - Since
 2.0.0
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        abstract 
        def
      
      
        awaitTermination(timeoutMs: Long): Boolean
      
      
      
Waits for the termination of
thisquery, either byquery.stop()or by an exception.Waits for the termination of
thisquery, either byquery.stop()or by an exception. If the query has terminated with an exception, then the exception will be thrown. Otherwise, it returns whether the query has terminated or not within thetimeoutMsmilliseconds.If the query has terminated, then all subsequent calls to this method will either return
trueimmediately (if the query was terminated bystop()), or throw the exception immediately (if the query has terminated with exception).- Annotations
 - @throws( ... )
 - Since
 2.0.0
- Exceptions thrown
 StreamingQueryExceptionif the query has terminated with an exception
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        abstract 
        def
      
      
        awaitTermination(): Unit
      
      
      
Waits for the termination of
thisquery, either byquery.stop()or by an exception.Waits for the termination of
thisquery, either byquery.stop()or by an exception. If the query has terminated with an exception, then the exception will be thrown.If the query has terminated, then all subsequent calls to this method will either return immediately (if the query was terminated by
stop()), or throw the exception immediately (if the query has terminated with exception).- Annotations
 - @throws( ... )
 - Since
 2.0.0
- Exceptions thrown
 StreamingQueryExceptionif the query has terminated with an exception.
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        abstract 
        def
      
      
        exception: Option[StreamingQueryException]
      
      
      
Returns the StreamingQueryException if the query was terminated by an exception.
Returns the StreamingQueryException if the query was terminated by an exception.
- Since
 2.0.0
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        abstract 
        def
      
      
        explain(extended: Boolean): Unit
      
      
      
Prints the physical plan to the console for debugging purposes.
Prints the physical plan to the console for debugging purposes.
- extended
 whether to do extended explain or not
- Since
 2.0.0
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        abstract 
        def
      
      
        explain(): Unit
      
      
      
Prints the physical plan to the console for debugging purposes.
Prints the physical plan to the console for debugging purposes.
- Since
 2.0.0
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        abstract 
        def
      
      
        id: UUID
      
      
      
Returns the unique id of this query that persists across restarts from checkpoint data.
Returns the unique id of this query that persists across restarts from checkpoint data. That is, this id is generated when a query is started for the first time, and will be the same every time it is restarted from checkpoint data. Also see runId.
- Since
 2.1.0
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        abstract 
        def
      
      
        isActive: Boolean
      
      
      
Returns
trueif this query is actively running.Returns
trueif this query is actively running.- Since
 2.0.0
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        abstract 
        def
      
      
        lastProgress: StreamingQueryProgress
      
      
      
Returns the most recent StreamingQueryProgress update of this streaming query.
Returns the most recent StreamingQueryProgress update of this streaming query.
- Since
 2.1.0
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        abstract 
        def
      
      
        name: String
      
      
      
Returns the user-specified name of the query, or null if not specified.
Returns the user-specified name of the query, or null if not specified. This name can be specified in the
org.apache.spark.sql.streaming.DataStreamWriterasdataframe.writeStream.queryName("query").start(). This name, if set, must be unique across all active queries.- Since
 2.0.0
 - 
      
      
      
        
      
    
      
        abstract 
        def
      
      
        processAllAvailable(): Unit
      
      
      
Blocks until all available data in the source has been processed and committed to the sink.
Blocks until all available data in the source has been processed and committed to the sink. This method is intended for testing. Note that in the case of continually arriving data, this method may block forever. Additionally, this method is only guaranteed to block until data that has been synchronously appended data to a
org.apache.spark.sql.execution.streaming.Sourceprior to invocation. (i.e.getOffsetmust immediately reflect the addition).- Since
 2.0.0
 - 
      
      
      
        
      
    
      
        abstract 
        def
      
      
        recentProgress: Array[StreamingQueryProgress]
      
      
      
Returns an array of the most recent StreamingQueryProgress updates for this query.
Returns an array of the most recent StreamingQueryProgress updates for this query. The number of progress updates retained for each stream is configured by Spark session configuration
spark.sql.streaming.numRecentProgressUpdates.- Since
 2.1.0
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        abstract 
        def
      
      
        runId: UUID
      
      
      
Returns the unique id of this run of the query.
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        abstract 
        def
      
      
        sparkSession: SparkSession
      
      
      
Returns the
SparkSessionassociated withthis.Returns the
SparkSessionassociated withthis.- Since
 2.0.0
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        abstract 
        def
      
      
        status: StreamingQueryStatus
      
      
      
Returns the current status of the query.
Returns the current status of the query.
- Since
 2.0.2
 - 
      
      
      
        
      
    
      
        abstract 
        def
      
      
        stop(): Unit
      
      
      
Stops the execution of this query if it is running.
Stops the execution of this query if it is running. This waits until the termination of the query execution threads or until a timeout is hit.
By default stop will block indefinitely. You can configure a timeout by the configuration
spark.sql.streaming.stopTimeout. A timeout of 0 (or negative) milliseconds will block indefinitely. If aTimeoutExceptionis thrown, users can retry stopping the stream. If the issue persists, it is advisable to kill the Spark application.- Annotations
 - @throws( ... )
 - Since
 2.0.0
 
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