Description
We now have comprehensive support for parsing and validating MATCH_RECOGNIZE queries (see CALCITE-1570 and sub-tasks) but we cannot execute them. I know the purpose of this work is to do CEP within Flink, but a reference implementation that works on non-streaming data would be valuable.
I propose that we add a class EnumerableMatch that can generate Java code to evaluate MATCH_RECOGNIZE queries on Enumerable data. It does not need to be efficient. I don't mind if it (say) buffers all the data in memory and makes O(n ^ 3) passes over it. People can make it more efficient over time.
When we have a reference implementation, people can start playing with this feature. And we can start building a corpus of data sets, queries, and their expected result. The Flink implementation will be able to test against those same queries, and should give the same results, even though Flink will be reading streaming data.
Let's create match.iq with the following query based on https://oracle-base.com/articles/12c/pattern-matching-in-oracle-database-12cr1:
!set outputformat mysql
!use match
SELECT *
FROM sales_history MATCH_RECOGNIZE (
PARTITION BY product
ORDER BY tstamp
MEASURES STRT.tstamp AS start_tstamp,
LAST(UP.tstamp) AS peak_tstamp,
LAST(DOWN.tstamp) AS end_tstamp,
MATCH_NUMBER() AS mno
ONE ROW PER MATCH
AFTER MATCH SKIP TO LAST DOWN
PATTERN (STRT UP+ FLAT* DOWN+)
DEFINE
UP AS UP.units_sold > PREV(UP.units_sold),
FLAT AS FLAT.units_sold = PREV(FLAT.units_sold),
DOWN AS DOWN.units_sold < PREV(DOWN.units_sold)
) MR
ORDER BY MR.product, MR.start_tstamp;
PRODUCT START_TSTAM PEAK_TSTAMP END_TSTAMP MNO
---------- ----------- ----------- ----------- ----------
TWINKIES 01-OCT-2014 03-OCT-2014 06-OCT-2014 1
TWINKIES 06-OCT-2014 08-OCT-2014 09-OCT-2014 2
TWINKIES 09-OCT-2014 13-OCT-2014 16-OCT-2014 3
TWINKIES 16-OCT-2014 18-OCT-2014 20-OCT-2014 4
4 rows selected.
!ok
Attachments
Issue Links
- is blocked by
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CALCITE-2966 Problem with Code Generation
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- Closed
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- relates to
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- Open
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CALCITE-3294 Implement FINAL Clause for MATCH_RECOGNIZE
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- Open
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- Closed
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- links to