Using array functions to mimic window-functions alike behavior
Using array functions to mimic window-functions alike behavior.
Using array functions to mimic window functions alike behavior
There are some usecases when you may want to mimic window functions using Arrays - as an optimization step, or to contol the memory better / use on-disk spiling, or just if you have old ClickHouse version.
Running difference sample
DROP TABLE IS EXISTS test_running_difference
CREATE TABLE test_running_difference
ENGINE = Log AS
SELECT
number % 20 AS id,
toDateTime('2010-01-01 00:00:00') + (intDiv(number, 20) * 15) AS ts,
(number * round(xxHash32(number % 20) / 1000000)) - round(rand() / 1000000) AS val
FROM numbers(100)
SELECT * FROM test_running_difference
┌─id─┬──────────────────ts─┬────val─┐
│ 0 │ 2010-01-01 00:00:00 │ -1209 │
│ 1 │ 2010-01-01 00:00:00 │ 43 │
│ 2 │ 2010-01-01 00:00:00 │ 4322 │
│ 3 │ 2010-01-01 00:00:00 │ -25 │
│ 4 │ 2010-01-01 00:00:00 │ 13720 │
│ 5 │ 2010-01-01 00:00:00 │ 903 │
│ 6 │ 2010-01-01 00:00:00 │ 18062 │
│ 7 │ 2010-01-01 00:00:00 │ -2873 │
│ 8 │ 2010-01-01 00:00:00 │ 6286 │
│ 9 │ 2010-01-01 00:00:00 │ 13399 │
│ 10 │ 2010-01-01 00:00:00 │ 18320 │
│ 11 │ 2010-01-01 00:00:00 │ 11731 │
│ 12 │ 2010-01-01 00:00:00 │ 857 │
│ 13 │ 2010-01-01 00:00:00 │ 8752 │
│ 14 │ 2010-01-01 00:00:00 │ 23060 │
│ 15 │ 2010-01-01 00:00:00 │ 41902 │
│ 16 │ 2010-01-01 00:00:00 │ 39406 │
│ 17 │ 2010-01-01 00:00:00 │ 50010 │
│ 18 │ 2010-01-01 00:00:00 │ 57673 │
│ 19 │ 2010-01-01 00:00:00 │ 51389 │
│ 0 │ 2010-01-01 00:00:15 │ 66839 │
│ 1 │ 2010-01-01 00:00:15 │ 19440 │
│ 2 │ 2010-01-01 00:00:15 │ 74513 │
│ 3 │ 2010-01-01 00:00:15 │ 10542 │
│ 4 │ 2010-01-01 00:00:15 │ 94245 │
│ 5 │ 2010-01-01 00:00:15 │ 8230 │
│ 6 │ 2010-01-01 00:00:15 │ 87823 │
│ 7 │ 2010-01-01 00:00:15 │ -128 │
│ 8 │ 2010-01-01 00:00:15 │ 30101 │
│ 9 │ 2010-01-01 00:00:15 │ 54321 │
│ 10 │ 2010-01-01 00:00:15 │ 64078 │
│ 11 │ 2010-01-01 00:00:15 │ 31886 │
│ 12 │ 2010-01-01 00:00:15 │ 8749 │
│ 13 │ 2010-01-01 00:00:15 │ 28982 │
│ 14 │ 2010-01-01 00:00:15 │ 61299 │
│ 15 │ 2010-01-01 00:00:15 │ 95867 │
│ 16 │ 2010-01-01 00:00:15 │ 93667 │
│ 17 │ 2010-01-01 00:00:15 │ 114072 │
│ 18 │ 2010-01-01 00:00:15 │ 124279 │
│ 19 │ 2010-01-01 00:00:15 │ 109605 │
│ 0 │ 2010-01-01 00:00:30 │ 135082 │
│ 1 │ 2010-01-01 00:00:30 │ 37345 │
│ 2 │ 2010-01-01 00:00:30 │ 148744 │
│ 3 │ 2010-01-01 00:00:30 │ 21607 │
│ 4 │ 2010-01-01 00:00:30 │ 171744 │
│ 5 │ 2010-01-01 00:00:30 │ 14736 │
│ 6 │ 2010-01-01 00:00:30 │ 155349 │
│ 7 │ 2010-01-01 00:00:30 │ -3901 │
│ 8 │ 2010-01-01 00:00:30 │ 54303 │
│ 9 │ 2010-01-01 00:00:30 │ 89629 │
│ 10 │ 2010-01-01 00:00:30 │ 106595 │
│ 11 │ 2010-01-01 00:00:30 │ 54545 │
│ 12 │ 2010-01-01 00:00:30 │ 18903 │
│ 13 │ 2010-01-01 00:00:30 │ 48023 │
│ 14 │ 2010-01-01 00:00:30 │ 97930 │
│ 15 │ 2010-01-01 00:00:30 │ 152165 │
│ 16 │ 2010-01-01 00:00:30 │ 146130 │
│ 17 │ 2010-01-01 00:00:30 │ 174854 │
│ 18 │ 2010-01-01 00:00:30 │ 189194 │
│ 19 │ 2010-01-01 00:00:30 │ 170134 │
│ 0 │ 2010-01-01 00:00:45 │ 207471 │
│ 1 │ 2010-01-01 00:00:45 │ 54323 │
│ 2 │ 2010-01-01 00:00:45 │ 217984 │
│ 3 │ 2010-01-01 00:00:45 │ 31835 │
│ 4 │ 2010-01-01 00:00:45 │ 252709 │
│ 5 │ 2010-01-01 00:00:45 │ 21493 │
│ 6 │ 2010-01-01 00:00:45 │ 221271 │
│ 7 │ 2010-01-01 00:00:45 │ -488 │
│ 8 │ 2010-01-01 00:00:45 │ 76827 │
│ 9 │ 2010-01-01 00:00:45 │ 131066 │
│ 10 │ 2010-01-01 00:00:45 │ 149087 │
│ 11 │ 2010-01-01 00:00:45 │ 71934 │
│ 12 │ 2010-01-01 00:00:45 │ 25125 │
│ 13 │ 2010-01-01 00:00:45 │ 65274 │
│ 14 │ 2010-01-01 00:00:45 │ 135980 │
│ 15 │ 2010-01-01 00:00:45 │ 210910 │
│ 16 │ 2010-01-01 00:00:45 │ 200007 │
│ 17 │ 2010-01-01 00:00:45 │ 235872 │
│ 18 │ 2010-01-01 00:00:45 │ 256112 │
│ 19 │ 2010-01-01 00:00:45 │ 229371 │
│ 0 │ 2010-01-01 00:01:00 │ 275331 │
│ 1 │ 2010-01-01 00:01:00 │ 72668 │
│ 2 │ 2010-01-01 00:01:00 │ 290366 │
│ 3 │ 2010-01-01 00:01:00 │ 46074 │
│ 4 │ 2010-01-01 00:01:00 │ 329207 │
│ 5 │ 2010-01-01 00:01:00 │ 26770 │
│ 6 │ 2010-01-01 00:01:00 │ 287619 │
│ 7 │ 2010-01-01 00:01:00 │ -2207 │
│ 8 │ 2010-01-01 00:01:00 │ 100456 │
│ 9 │ 2010-01-01 00:01:00 │ 165688 │
│ 10 │ 2010-01-01 00:01:00 │ 194136 │
│ 11 │ 2010-01-01 00:01:00 │ 94113 │
│ 12 │ 2010-01-01 00:01:00 │ 35810 │
│ 13 │ 2010-01-01 00:01:00 │ 85081 │
│ 14 │ 2010-01-01 00:01:00 │ 170256 │
│ 15 │ 2010-01-01 00:01:00 │ 265445 │
│ 16 │ 2010-01-01 00:01:00 │ 254828 │
│ 17 │ 2010-01-01 00:01:00 │ 297238 │
│ 18 │ 2010-01-01 00:01:00 │ 323494 │
│ 19 │ 2010-01-01 00:01:00 │ 286252 │
└────┴─────────────────────┴────────┘
100 rows in set. Elapsed: 0.003 sec.
runningDifference works only in blocks & require ordered data & problematic when group changes
select id, val, runningDifference(val) from (select * from test_running_difference order by id, ts);
┌─id─┬────val─┬─runningDifference(val)─┐
│ 0 │ -1209 │ 0 │
│ 0 │ 66839 │ 68048 │
│ 0 │ 135082 │ 68243 │
│ 0 │ 207471 │ 72389 │
│ 0 │ 275331 │ 67860 │
│ 1 │ 43 │ -275288 │
│ 1 │ 19440 │ 19397 │
│ 1 │ 37345 │ 17905 │
│ 1 │ 54323 │ 16978 │
│ 1 │ 72668 │ 18345 │
│ 2 │ 4322 │ -68346 │
│ 2 │ 74513 │ 70191 │
│ 2 │ 148744 │ 74231 │
│ 2 │ 217984 │ 69240 │
│ 2 │ 290366 │ 72382 │
│ 3 │ -25 │ -290391 │
│ 3 │ 10542 │ 10567 │
│ 3 │ 21607 │ 11065 │
│ 3 │ 31835 │ 10228 │
│ 3 │ 46074 │ 14239 │
│ 4 │ 13720 │ -32354 │
│ 4 │ 94245 │ 80525 │
│ 4 │ 171744 │ 77499 │
│ 4 │ 252709 │ 80965 │
│ 4 │ 329207 │ 76498 │
│ 5 │ 903 │ -328304 │
│ 5 │ 8230 │ 7327 │
│ 5 │ 14736 │ 6506 │
│ 5 │ 21493 │ 6757 │
│ 5 │ 26770 │ 5277 │
│ 6 │ 18062 │ -8708 │
│ 6 │ 87823 │ 69761 │
│ 6 │ 155349 │ 67526 │
│ 6 │ 221271 │ 65922 │
│ 6 │ 287619 │ 66348 │
│ 7 │ -2873 │ -290492 │
│ 7 │ -128 │ 2745 │
│ 7 │ -3901 │ -3773 │
│ 7 │ -488 │ 3413 │
│ 7 │ -2207 │ -1719 │
│ 8 │ 6286 │ 8493 │
│ 8 │ 30101 │ 23815 │
│ 8 │ 54303 │ 24202 │
│ 8 │ 76827 │ 22524 │
│ 8 │ 100456 │ 23629 │
│ 9 │ 13399 │ -87057 │
│ 9 │ 54321 │ 40922 │
│ 9 │ 89629 │ 35308 │
│ 9 │ 131066 │ 41437 │
│ 9 │ 165688 │ 34622 │
│ 10 │ 18320 │ -147368 │
│ 10 │ 64078 │ 45758 │
│ 10 │ 106595 │ 42517 │
│ 10 │ 149087 │ 42492 │
│ 10 │ 194136 │ 45049 │
│ 11 │ 11731 │ -182405 │
│ 11 │ 31886 │ 20155 │
│ 11 │ 54545 │ 22659 │
│ 11 │ 71934 │ 17389 │
│ 11 │ 94113 │ 22179 │
│ 12 │ 857 │ -93256 │
│ 12 │ 8749 │ 7892 │
│ 12 │ 18903 │ 10154 │
│ 12 │ 25125 │ 6222 │
│ 12 │ 35810 │ 10685 │
│ 13 │ 8752 │ -27058 │
│ 13 │ 28982 │ 20230 │
│ 13 │ 48023 │ 19041 │
│ 13 │ 65274 │ 17251 │
│ 13 │ 85081 │ 19807 │
│ 14 │ 23060 │ -62021 │
│ 14 │ 61299 │ 38239 │
│ 14 │ 97930 │ 36631 │
│ 14 │ 135980 │ 38050 │
│ 14 │ 170256 │ 34276 │
│ 15 │ 41902 │ -128354 │
│ 15 │ 95867 │ 53965 │
│ 15 │ 152165 │ 56298 │
│ 15 │ 210910 │ 58745 │
│ 15 │ 265445 │ 54535 │
│ 16 │ 39406 │ -226039 │
│ 16 │ 93667 │ 54261 │
│ 16 │ 146130 │ 52463 │
│ 16 │ 200007 │ 53877 │
│ 16 │ 254828 │ 54821 │
│ 17 │ 50010 │ -204818 │
│ 17 │ 114072 │ 64062 │
│ 17 │ 174854 │ 60782 │
│ 17 │ 235872 │ 61018 │
│ 17 │ 297238 │ 61366 │
│ 18 │ 57673 │ -239565 │
│ 18 │ 124279 │ 66606 │
│ 18 │ 189194 │ 64915 │
│ 18 │ 256112 │ 66918 │
│ 18 │ 323494 │ 67382 │
│ 19 │ 51389 │ -272105 │
│ 19 │ 109605 │ 58216 │
│ 19 │ 170134 │ 60529 │
│ 19 │ 229371 │ 59237 │
│ 19 │ 286252 │ 56881 │
└────┴────────┴────────────────────────┘
100 rows in set. Elapsed: 0.005 sec.
Arrays !
1. Group & Collect the data into array
you can collect several column by builing array of tuples:
SELECT
id,
groupArray(tuple(ts, val))
FROM test_running_difference
GROUP BY id
┌─id─┬─groupArray(tuple(ts, val))──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 0 │ [('2010-01-01 00:00:00',-1209),('2010-01-01 00:00:15',66839),('2010-01-01 00:00:30',135082),('2010-01-01 00:00:45',207471),('2010-01-01 00:01:00',275331)] │
│ 1 │ [('2010-01-01 00:00:00',43),('2010-01-01 00:00:15',19440),('2010-01-01 00:00:30',37345),('2010-01-01 00:00:45',54323),('2010-01-01 00:01:00',72668)] │
│ 2 │ [('2010-01-01 00:00:00',4322),('2010-01-01 00:00:15',74513),('2010-01-01 00:00:30',148744),('2010-01-01 00:00:45',217984),('2010-01-01 00:01:00',290366)] │
│ 3 │ [('2010-01-01 00:00:00',-25),('2010-01-01 00:00:15',10542),('2010-01-01 00:00:30',21607),('2010-01-01 00:00:45',31835),('2010-01-01 00:01:00',46074)] │
│ 4 │ [('2010-01-01 00:00:00',13720),('2010-01-01 00:00:15',94245),('2010-01-01 00:00:30',171744),('2010-01-01 00:00:45',252709),('2010-01-01 00:01:00',329207)] │
│ 5 │ [('2010-01-01 00:00:00',903),('2010-01-01 00:00:15',8230),('2010-01-01 00:00:30',14736),('2010-01-01 00:00:45',21493),('2010-01-01 00:01:00',26770)] │
│ 6 │ [('2010-01-01 00:00:00',18062),('2010-01-01 00:00:15',87823),('2010-01-01 00:00:30',155349),('2010-01-01 00:00:45',221271),('2010-01-01 00:01:00',287619)] │
│ 7 │ [('2010-01-01 00:00:00',-2873),('2010-01-01 00:00:15',-128),('2010-01-01 00:00:30',-3901),('2010-01-01 00:00:45',-488),('2010-01-01 00:01:00',-2207)] │
│ 8 │ [('2010-01-01 00:00:00',6286),('2010-01-01 00:00:15',30101),('2010-01-01 00:00:30',54303),('2010-01-01 00:00:45',76827),('2010-01-01 00:01:00',100456)] │
│ 9 │ [('2010-01-01 00:00:00',13399),('2010-01-01 00:00:15',54321),('2010-01-01 00:00:30',89629),('2010-01-01 00:00:45',131066),('2010-01-01 00:01:00',165688)] │
│ 10 │ [('2010-01-01 00:00:00',18320),('2010-01-01 00:00:15',64078),('2010-01-01 00:00:30',106595),('2010-01-01 00:00:45',149087),('2010-01-01 00:01:00',194136)] │
│ 11 │ [('2010-01-01 00:00:00',11731),('2010-01-01 00:00:15',31886),('2010-01-01 00:00:30',54545),('2010-01-01 00:00:45',71934),('2010-01-01 00:01:00',94113)] │
│ 12 │ [('2010-01-01 00:00:00',857),('2010-01-01 00:00:15',8749),('2010-01-01 00:00:30',18903),('2010-01-01 00:00:45',25125),('2010-01-01 00:01:00',35810)] │
│ 13 │ [('2010-01-01 00:00:00',8752),('2010-01-01 00:00:15',28982),('2010-01-01 00:00:30',48023),('2010-01-01 00:00:45',65274),('2010-01-01 00:01:00',85081)] │
│ 14 │ [('2010-01-01 00:00:00',23060),('2010-01-01 00:00:15',61299),('2010-01-01 00:00:30',97930),('2010-01-01 00:00:45',135980),('2010-01-01 00:01:00',170256)] │
│ 15 │ [('2010-01-01 00:00:00',41902),('2010-01-01 00:00:15',95867),('2010-01-01 00:00:30',152165),('2010-01-01 00:00:45',210910),('2010-01-01 00:01:00',265445)] │
│ 16 │ [('2010-01-01 00:00:00',39406),('2010-01-01 00:00:15',93667),('2010-01-01 00:00:30',146130),('2010-01-01 00:00:45',200007),('2010-01-01 00:01:00',254828)] │
│ 17 │ [('2010-01-01 00:00:00',50010),('2010-01-01 00:00:15',114072),('2010-01-01 00:00:30',174854),('2010-01-01 00:00:45',235872),('2010-01-01 00:01:00',297238)] │
│ 18 │ [('2010-01-01 00:00:00',57673),('2010-01-01 00:00:15',124279),('2010-01-01 00:00:30',189194),('2010-01-01 00:00:45',256112),('2010-01-01 00:01:00',323494)] │
│ 19 │ [('2010-01-01 00:00:00',51389),('2010-01-01 00:00:15',109605),('2010-01-01 00:00:30',170134),('2010-01-01 00:00:45',229371),('2010-01-01 00:01:00',286252)] │
└────┴─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
Do needed ordering in each array
For example - by second element of tuple:
SELECT
id,
arraySort(x -> (x.2), groupArray((ts, val)))
FROM test_running_difference
GROUP BY id
┌─id─┬─arraySort(lambda(tuple(x), tupleElement(x, 2)), groupArray(tuple(ts, val)))─────────────────────────────────────────────────────────────────────────────────┐
│ 0 │ [('2010-01-01 00:00:00',-1209),('2010-01-01 00:00:15',66839),('2010-01-01 00:00:30',135082),('2010-01-01 00:00:45',207471),('2010-01-01 00:01:00',275331)] │
│ 1 │ [('2010-01-01 00:00:00',43),('2010-01-01 00:00:15',19440),('2010-01-01 00:00:30',37345),('2010-01-01 00:00:45',54323),('2010-01-01 00:01:00',72668)] │
│ 2 │ [('2010-01-01 00:00:00',4322),('2010-01-01 00:00:15',74513),('2010-01-01 00:00:30',148744),('2010-01-01 00:00:45',217984),('2010-01-01 00:01:00',290366)] │
│ 3 │ [('2010-01-01 00:00:00',-25),('2010-01-01 00:00:15',10542),('2010-01-01 00:00:30',21607),('2010-01-01 00:00:45',31835),('2010-01-01 00:01:00',46074)] │
│ 4 │ [('2010-01-01 00:00:00',13720),('2010-01-01 00:00:15',94245),('2010-01-01 00:00:30',171744),('2010-01-01 00:00:45',252709),('2010-01-01 00:01:00',329207)] │
│ 5 │ [('2010-01-01 00:00:00',903),('2010-01-01 00:00:15',8230),('2010-01-01 00:00:30',14736),('2010-01-01 00:00:45',21493),('2010-01-01 00:01:00',26770)] │
│ 6 │ [('2010-01-01 00:00:00',18062),('2010-01-01 00:00:15',87823),('2010-01-01 00:00:30',155349),('2010-01-01 00:00:45',221271),('2010-01-01 00:01:00',287619)] │
│ 7 │ [('2010-01-01 00:00:30',-3901),('2010-01-01 00:00:00',-2873),('2010-01-01 00:01:00',-2207),('2010-01-01 00:00:45',-488),('2010-01-01 00:00:15',-128)] │
│ 8 │ [('2010-01-01 00:00:00',6286),('2010-01-01 00:00:15',30101),('2010-01-01 00:00:30',54303),('2010-01-01 00:00:45',76827),('2010-01-01 00:01:00',100456)] │
│ 9 │ [('2010-01-01 00:00:00',13399),('2010-01-01 00:00:15',54321),('2010-01-01 00:00:30',89629),('2010-01-01 00:00:45',131066),('2010-01-01 00:01:00',165688)] │
│ 10 │ [('2010-01-01 00:00:00',18320),('2010-01-01 00:00:15',64078),('2010-01-01 00:00:30',106595),('2010-01-01 00:00:45',149087),('2010-01-01 00:01:00',194136)] │
│ 11 │ [('2010-01-01 00:00:00',11731),('2010-01-01 00:00:15',31886),('2010-01-01 00:00:30',54545),('2010-01-01 00:00:45',71934),('2010-01-01 00:01:00',94113)] │
│ 12 │ [('2010-01-01 00:00:00',857),('2010-01-01 00:00:15',8749),('2010-01-01 00:00:30',18903),('2010-01-01 00:00:45',25125),('2010-01-01 00:01:00',35810)] │
│ 13 │ [('2010-01-01 00:00:00',8752),('2010-01-01 00:00:15',28982),('2010-01-01 00:00:30',48023),('2010-01-01 00:00:45',65274),('2010-01-01 00:01:00',85081)] │
│ 14 │ [('2010-01-01 00:00:00',23060),('2010-01-01 00:00:15',61299),('2010-01-01 00:00:30',97930),('2010-01-01 00:00:45',135980),('2010-01-01 00:01:00',170256)] │
│ 15 │ [('2010-01-01 00:00:00',41902),('2010-01-01 00:00:15',95867),('2010-01-01 00:00:30',152165),('2010-01-01 00:00:45',210910),('2010-01-01 00:01:00',265445)] │
│ 16 │ [('2010-01-01 00:00:00',39406),('2010-01-01 00:00:15',93667),('2010-01-01 00:00:30',146130),('2010-01-01 00:00:45',200007),('2010-01-01 00:01:00',254828)] │
│ 17 │ [('2010-01-01 00:00:00',50010),('2010-01-01 00:00:15',114072),('2010-01-01 00:00:30',174854),('2010-01-01 00:00:45',235872),('2010-01-01 00:01:00',297238)] │
│ 18 │ [('2010-01-01 00:00:00',57673),('2010-01-01 00:00:15',124279),('2010-01-01 00:00:30',189194),('2010-01-01 00:00:45',256112),('2010-01-01 00:01:00',323494)] │
│ 19 │ [('2010-01-01 00:00:00',51389),('2010-01-01 00:00:15',109605),('2010-01-01 00:00:30',170134),('2010-01-01 00:00:45',229371),('2010-01-01 00:01:00',286252)] │
└────┴─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
20 rows in set. Elapsed: 0.004 sec.
That can be rewritten like this:
WITH
groupArray(tuple(ts, val)) as window_rows,
arraySort(x -> x.1, window_rows) as sorted_window_rows
SELECT
id,
sorted_window_rows
FROM test_running_difference
GROUP BY id
Apply needed logic arrayMap / arrayDifference etc
WITH
groupArray(tuple(ts, val)) as window_rows,
arraySort(x -> x.1, window_rows) as sorted_window_rows,
arrayMap(x -> x.2, sorted_window_rows) as sorted_window_rows_val_column,
arrayDifference(sorted_window_rows_val_column) as sorted_window_rows_val_column_diff
SELECT
id,
sorted_window_rows_val_column_diff
FROM test_running_difference
GROUP BY id
┌─id─┬─sorted_window_rows_val_column_diff─┐
│ 0 │ [0,68048,68243,72389,67860] │
│ 1 │ [0,19397,17905,16978,18345] │
│ 2 │ [0,70191,74231,69240,72382] │
│ 3 │ [0,10567,11065,10228,14239] │
│ 4 │ [0,80525,77499,80965,76498] │
│ 5 │ [0,7327,6506,6757,5277] │
│ 6 │ [0,69761,67526,65922,66348] │
│ 7 │ [0,2745,-3773,3413,-1719] │
│ 8 │ [0,23815,24202,22524,23629] │
│ 9 │ [0,40922,35308,41437,34622] │
│ 10 │ [0,45758,42517,42492,45049] │
│ 11 │ [0,20155,22659,17389,22179] │
│ 12 │ [0,7892,10154,6222,10685] │
│ 13 │ [0,20230,19041,17251,19807] │
│ 14 │ [0,38239,36631,38050,34276] │
│ 15 │ [0,53965,56298,58745,54535] │
│ 16 │ [0,54261,52463,53877,54821] │
│ 17 │ [0,64062,60782,61018,61366] │
│ 18 │ [0,66606,64915,66918,67382] │
│ 19 │ [0,58216,60529,59237,56881] │
└────┴────────────────────────────────────┘
20 rows in set. Elapsed: 0.005 sec.
You can do also a lot of magic with arrayEnumerate and accessing different values by their ids.
Now you can return you arrays back to rows
use arrayJoin
WITH
groupArray(tuple(ts, val)) as window_rows,
arraySort(x -> x.1, window_rows) as sorted_window_rows,
arrayMap(x -> x.2, sorted_window_rows) as sorted_window_rows_val_column,
arrayDifference(sorted_window_rows_val_column) as sorted_window_rows_val_column_diff,
arrayJoin(sorted_window_rows_val_column_diff) as diff
SELECT
id,
diff
FROM test_running_difference
GROUP BY id
or ARRAY JOIN
SELECT
id,
diff,
ts
FROM
(
WITH
groupArray(tuple(ts, val)) as window_rows,
arraySort(x -> x.1, window_rows) as sorted_window_rows,
arrayMap(x -> x.2, sorted_window_rows) as sorted_window_rows_val_column
SELECT
id,
arrayDifference(sorted_window_rows_val_column) as sorted_window_rows_val_column_diff,
arrayMap(x -> x.1, sorted_window_rows) as sorted_window_rows_ts_column
FROM test_running_difference
GROUP BY id
) as t1
ARRAY JOIN sorted_window_rows_val_column_diff as diff, sorted_window_rows_ts_column as ts
etc.
Last modified 2022.03.17: Create array-functions-as-window.md (df61bde)