Data stream as an unbounded table

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Presentation transcript:

Data stream as an unbounded table new data in the data stream = new rows appended to an unbounded table Data stream as an unbounded table

Programming Model for Structured Streaming Trigger: every 1 sec 1 2 3 Time data up to t=1 data up to t=2 data up to t=3 Input Query Result result up to t=1 result up to t=2 result up to t=3 Output complete mode Programming Model for Structured Streaming

Model of the Quick Example nc cat dog dog dog dog owl owl cat 1 2 3 Time Input Unbounded table of all input data up to t=1 data up to t=2 data up to t=3 cat dog dog dog cat dog dog dog owl cat cat dog dog dog owl cat dog owl word count query Result Table of word counts result up to t=1 result up to t=2 result up to t=3 cat 1 dog 3 cat 2 dog 3 owl 1 cat 2 dog 4 owl Output Complete Mode print all the counts to console Model of the Quick Example

Windowed Grouped Aggregation with 10 min windows, sliding every 5 mins Input Stream 12:02 cat dog 12:03 dog dog 12:11 dog 12:13 owl 12:07 owl cat 12:00 12:05 12:10 12:15 Time 12:00 - 12:10 cat 1 dog 3 12:00 - 12:10 cat 2 dog 3 owl 1 12:05 - 12:15 12:00 - 12:10 cat 2 dog 3 owl 1 12:05 - 12:15 12:10 - 12:20 Result Tables after 5 minute triggers counts incremented for windows 12:00 - 12:10 and 12:05 - 12:15 Windowed Grouped Aggregation with 10 min windows, sliding every 5 mins counts incremented for windows 12:05 - 12:15 and 12:10 - 12:20

late data that was generated at 12:04 but arrived at 12:11 Input Stream 12:02 cat dog 12:03 dog dog 12:04 dog 12:13 owl 12:07 owl cat 12:00 12:05 12:10 12:15 Time 12:00 - 12:10 cat 1 dog 3 12:00 - 12:10 cat 2 dog 3 owl 1 12:05 - 12:15 12:00 - 12:10 cat 2 dog 4 owl 1 12:05 - 12:15 12:10 - 12:20 Result Tables after 5 minute triggers counts updated for window 12:00 - 12:10 Late data handling in Windowed Grouped Aggregation

Watermarking in Windowed Grouped Aggregation with Update Mode 12:20 Data as (event time, word) Data late but within watermark Data too late outside watermark Max event time seen till now Watermark = max event time -- late threshold 12:21, owl 12:17, owl 12:15 12:15, cat Event Time 12:14, dog 12:13, owl intermediate state for 12:00 - 12:10 dropped as watermark > 12:10 12:10 wm = 12:21 - 10m = 12:11 12:09, cat 12:08, owl 12:08, dog 12:07, dog 12:05 watermark updated every trigger using late threshold = 10 min 12:04, donkey wm = 12:14 - 10m = 12:04 data too late, ignored in counts 12:00 12:05 12:10 12:15 12:20 12:25 Processing Time with 5 min triggers table not updated with too late data (12:04, donkey) 12:00 - 12:10 owl 1 dog 12:00 - 12:10 owl 1 dog cat 12:00 - 12:10 owl 1 dog 2 cat 12:00 - 12:10 owl 1 dog 2 cat 12:05 - 12:15 owl 1 dog 12:05 - 12:15 owl 1 dog 2 cat 12:05 - 12:15 owl 2 dog 3 cat 12:05 - 12:15 owl 2 dog 3 cat Result Tables after each trigger 12:10 - 12:20 dog 1 12:10 - 12:20 dog 1 cat owl 12:10 - 12:20 dog 1 cat owl 2 table updated with late data (12:17, owl) purple rows are updated rows that are written to the sink as output … … Watermarking in Windowed Grouped Aggregation with Update Mode

data too late, ignored in counts 12:26, owl 12:25 Data as (event time, word) Data late but within watermark Data too late outside watermark Max event time seen till now Watermark = max event time -- late threshold 12:21, owl 12:20 12:17, owl 12:15 12:15, cat wm = 12:26 - 10m =12:16 Event Time 12:14, dog 12:13, owl 12:10 wm = 12:21 - 10m =12:11 12:09, cat 12:09, cat 12:08, owl 12:08, dog 12:07, dog 12:05 12:04, donkey wm = 12:14 - 10m =12:04 data too late, ignored in counts 12:00 12:05 12:10 12:15 12:20 12:25 12:30 Processing Time with 5 min triggers partial counts for window 12:00 - 12:10 maintained as internal state while waiting for late data, so not yet added to result table 12:00 - 12:10 owl 1 cat dog 2 12:00 - 12:10 owl 1 cat dog 2 final counts for 12:00 - 12:10 added to table when watermark > 12:10, late data counted, and intermediate state for window dropped 12:05 - 12:15 owl 2 cat dog 3 Watermarking in Windowed Grouped Aggregation with Append Mode Result Tables after each trigger