sqlpostgresqlaggregate-functionswindow-functions

Given time/interval to calculate open/high/low/close value in each grouped data

Suppose raw data is:

  Timestamp   High Low Volume
  10:24.22345 100   99  10
  10:24.23345 110   97  20
  10:24.33455 97    89  40
  10:25.33455 60    40  50
  10:25.93455 40    20  60

With a sample time of 1 second, the output data should be as following (they are grouped by second):

  Timestamp   Open Close High  Low Volume 
  10:24         82   83   110   89  70     
  10:25         50   40   60    20  110

The sampling unit from varying from 1 second, 5 sec, 1 minute, 1 hour, 1 day, ...

Now I can get the High, Low, Volume by the following SQL:

SELECT date_trunc(\'#{interval}\', ticktime) AS ticktime_stamp,
       max(bid_price) as high,
       min(bid_price) as low,
       sum(bid_volume) as volume,
       max(product_type) as product_type
FROM   czces
WHERE  ticktime >=  \'#{begin_time}\'::timestamp
AND  ticktime <  \'#{end_time}\'::timestamp
AND  product_type =\'#{product_type}\'
GROUP  BY 1
ORDER  BY ticktime_stamp ASC

But how to get the open, close value in each group based on the above query?

Solution

  • You could use window functions combined with DISTINCT ON for that:

    SELECT DISTINCT ON (1)
       date_trunc('#{interval}', ticktime) AS ticktime_stamp
     , max(bid_price)         OVER w AS high
     , min(bid_price)         OVER w AS low
     , sum(bid_volume)        OVER w AS volume
     , max(product_type)      OVER w AS product_type
     , min(product_type)      OVER w AS product_type
     , first_value(bid_price) OVER w AS open
     , last_value(bid_price)  OVER w AS close
FROM   czces
WHERE  ticktime >= '#{begin_time}'::timestamp
AND    ticktime <  '#{end_time}'::timestamp
AND    product_type ='#{product_type}'
WINDOW w AS (PARTITION BY date_trunc('#{interval}', ticktime) ORDER BY ticktime
             ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
ORDER  BY 1;

    About the custom window frame:

    About DISTINCT ON: