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[SPARK-21925] Update trigger interval documentation in docs with behavior change in Spark 2.2 #19138

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[SPARK-21925] Update trigger interval documentation in docs with behavior change in Spark 2.2 #19138

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2 changes: 1 addition & 1 deletion docs/structured-streaming-programming-guide.md
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Expand Up @@ -1168,7 +1168,7 @@ returned through `Dataset.writeStream()`. You will have to specify one or more o

- *Query name:* Optionally, specify a unique name of the query for identification.

- *Trigger interval:* Optionally, specify the trigger interval. If it is not specified, the system will check for availability of new data as soon as the previous processing has completed. If a trigger time is missed because the previous processing has not completed, then the system will attempt to trigger at the next trigger point, not immediately after the processing has completed.
- *Trigger interval:* Optionally, specify the trigger interval. If it is not specified, the system will check for availability of new data as soon as the previous processing has completed. If a trigger time is missed because the previous processing has not completed, then the system will trigger processing immediately.

- *Checkpoint location:* For some output sinks where the end-to-end fault-tolerance can be guaranteed, specify the location where the system will write all the checkpoint information. This should be a directory in an HDFS-compatible fault-tolerant file system. The semantics of checkpointing is discussed in more detail in the next section.

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