Clickhouse SQL Query: Average in intervals - clickhouse

Question

I have a table:
deviceId, valueDateTime, value, valueType
Where the valueType - temperature, pressure, etc.
I have several parameters for query: begin, end (period), and time interval (for example 20 minutes)
I want to get charts for the period for each deviceId and valueType with series of average values for each interval in the period.
EDIT:
Above is the final task, at this moment I just experimenting with this task and I use https://play.clickhouse.tech/?file=playground where I trying to solve a similar task. I want to calculate the average Age in the time interval grouped by Title field. And I have a problem, how to add grouping by Title?
-- 2013-07-15 00:00:00 - begin
-- 2013-07-16 00:00:00 - end
-- 1200 - average in interval 20m
SELECT t, avg(Age) as Age FROM (
SELECT
arrayJoin(
arrayMap(x -> addSeconds(toDateTime('2013-07-15 00:00:00'), x * 1200),
range(toUInt64(dateDiff('second', toDateTime('2013-07-15 00:00:00'), toDateTime('2013-07-16 00:00:00'))/1200)))
) as t,
null as Age
UNION ALL
SELECT
(addSeconds(
toDateTime('2013-07-15 00:00:00'),
1200 * intDivOrZero(dateDiff('second', toDateTime('2013-07-15 00:00:00'), EventTime), 1200))
) as t,
avg(Age) as Age
FROM `hits_100m_obfuscated`
WHERE EventTime BETWEEN toDateTime('2013-07-15 00:00:00') AND toDateTime('2013-07-16 00:00:00')
GROUP BY t
)
GROUP BY t ORDER BY t;
EDITED 2
Correct answer from vladimir adapted to be used and tested on https://play.clickhouse.tech/?file=playground
SELECT
Title, -- as deviceId
JavaEnable, -- as valueType
groupArray((rounded_time, avg_value)) values
FROM (
WITH 60 * 20 AS interval
SELECT
Title,
JavaEnable,
toDateTime(intDiv(toUInt32(EventTime), interval) * interval)
AS rounded_time, -- EventTime as valueDateTime
avg(Age) avg_value -- Age as value
FROM `hits_100m_obfuscated`
WHERE
EventTime BETWEEN toDateTime('2013-07-15 00:00:00')
AND toDateTime('2013-07-16 00:00:00')
GROUP BY
Title,
JavaEnable,
rounded_time
ORDER BY rounded_time
)
GROUP BY
Title,
JavaEnable
ORDER BY
Title,
JavaEnable

Answer 1

Try this query:
SELECT
deviceId,
valueType,
groupArray((rounded_time, avg_value)) values
FROM (
WITH 60 * 20 AS interval
SELECT
deviceId,
valueType,
toDateTime(intDiv(toUInt32(valueDateTime), interval) * interval) AS rounded_time,
avg(value) avg_value
FROM
(
/* emulate the test dataset */
SELECT
number % 4 AS deviceId,
now() - (number * 60) AS valueDateTime,
number % 10 AS value,
if((number % 2) = 1, 'temp', 'pres') AS valueType
FROM numbers(48)
)
/*WHERE valueDateTime >= begin AND valueDateTime < end */
GROUP BY
deviceId,
valueType,
rounded_time
ORDER BY rounded_time
)
GROUP BY
deviceId,
valueType
ORDER BY
deviceId,
valueType
/*
┌─deviceId─┬─valueType─┬─values────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 0 │ pres │ [('2021-02-12 06:00:00',4),('2021-02-12 06:20:00',4),('2021-02-12 06:40:00',4),('2021-02-12 07:00:00',0)] │
│ 1 │ temp │ [('2021-02-12 06:00:00',5),('2021-02-12 06:20:00',5),('2021-02-12 06:40:00',5),('2021-02-12 07:00:00',1)] │
│ 2 │ pres │ [('2021-02-12 06:00:00',4),('2021-02-12 06:20:00',4),('2021-02-12 06:40:00',4)] │
│ 3 │ temp │ [('2021-02-12 06:00:00',5),('2021-02-12 06:20:00',5),('2021-02-12 06:40:00',5)] │
└──────────┴───────────┴───────────────────────────────────────────────────────────────────────────────────────────────────────────┘
*/
I would recommend using Grafana to visualize CH report (see Grafana ClickHouse datasource).