spark-streaming


Get all rows of a window in Spark structured streaming


I have a use case where we need to find patterns in data within a window. We are experimenting with Structured Streaming. We have a continues stream of events and are looking for patterns like event A (device disconnect) is followed by event B (device reconnect) within 10 seconds. or event A (disconnect) is not followed by event B (reconnect) within 10 seconds.
I was thinking of using a window function grouping dataset into 10 seconds window buckets and checking for the pattern every time the window values are updated. It looks like the window function is really used as a groupBy in structured streaming which forces me to use aggregate functions to get high level agg on column values.
I am wondering if there is a way to loop through all values of the column when using window function in structured streaming.

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