Waits for the termination of this query, either by query.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 the timeoutMs milliseconds.

If the query has terminated, then all subsequent calls to this method will either return true immediately (if the query was terminated by stop()), or throw the exception immediately (if the query has terminated with exception).

Waits for the termination of this query, either by query.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).

Returns the org.apache.spark.sql.streaming.StreamingQueryException if the query was terminated by an exception.

Prints the physical plan to the console for debugging purposes.

Prints the physical plan to the console for debugging purposes.

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.

Returns true if this query is actively running.

Returns the most recent org.apache.spark.sql.streaming.StreamingQueryProgress update of this streaming query.

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.DataStreamWriter as dataframe.writeStream.queryName("query").start(). This name, if set, must be unique across all active queries.

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.Source prior to invocation. (i.e. getOffset must immediately reflect the addition).

Returns an array of the most recent org.apache.spark.sql.streaming.StreamingQueryProgress updates for this query. The number of progress updates retained for each stream is configured by Spark session configuration spark.sql.streaming.numRecentProgressUpdates.

Returns the unique id of this run of the query. That is, every start/restart of a query will generate a unique runId. Therefore, every time a query is restarted from checkpoint, it will have the same id but different runIds.

Returns the SparkSession associated with this.

Returns the current status of the query.

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 a TimeoutException is thrown, users can retry stopping the stream. If the issue persists, it is advisable to kill the Spark application.