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Time Function
Last updated: 2024-01-22 10:52:48
Time Grouping Function histogram
CLS supports a histogram function that you can use to group and aggregate the log data at a given interval. For example, you can use it to count page views (PV) every 5 minutes.
Function syntax
`histogram(date_expression,date_interval)`
Parameter description
date_expression: in the
TIMESTAMP format. You can use the cast function to convert a time string in the ISO 8601 or UNIX datetime format to TIMESTAMP.date_interval: valid values are as follows:
date_interval | Sample Value |
MINUTE | histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 1 MINUTE) |
HOUR | histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 1 HOUR) |
DAY | histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 1 DAY) |
MONTH | histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 1 MONTH) |
YEAR | histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 1 YEAR) |
Example
Count the PV value every 5 minutes:
* | select histogram( cast(__TIMESTAMP__ as timestamp),INTERVAL 5 MINUTE) AS dt, count(*) as PV group by dt order by dt
Note:
The minimum granularity of the histogram function is minute. If you need a finer granularity, we recommend using the modulus operation.
* | select cast((__TIMESTAMP__-__TIMESTAMP__%60000) as timestamp) as dt, count(1) as PV,count (distinct(remote_addr)) as UV group by dt order by dt
Where,
%60000 in the above formula refers to the aggregation by 60 seconds.
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