ChatGPT - PostgreSQL Query
I need a postgres sql query bucketing results by hour and joining in a timeseries so that buckets with zero count show a show a zero.
Assuming you have a table called my_table
with a timestamp column called created_at
, and you want to bucket results by hour, you could use the following query:
SELECT generate_series(start_hour, end_hour, '1 hour') AS hour_bucket, count(my_table.created_at) AS count FROM (SELECT date_trunc('hour', MIN(created_at)) AS start_hour, date_trunc('hour', MAX(created_at)) AS end_hour FROM my_table) AS time_range LEFT JOIN my_table ON date_trunc('hour', my_table.created_at) = generate_series(start_hour, end_hour, '1 hour') GROUP BY hour_bucket ORDER BY hour_bucket;
Here's what this query does:
- The inner query determines the earliest and latest hour in your data by using the
MIN
andMAX
functions, and rounds them down to the nearest hour using thedate_trunc
function. - The
generate_series
function is then used to generate a list of hours from the earliest to the latest hour in your data, in one-hour increments. This is the "timeseries" that you mentioned in your question. - The
LEFT JOIN
then joins this timeseries with yourmy_table
table on the condition that thecreated_at
timestamp falls within the corresponding hour bucket in the timeseries. This will include any hour buckets with zero count. - Finally, the
GROUP BY
andCOUNT
functions are used to count the number of rows inmy_table
that fall within each hour bucket, and the results are ordered by the hour bucket.
Note that the LEFT JOIN
will include null values for hour buckets with zero count, so the output will show a NULL
value in the count
column for those buckets. If you want to show a zero instead, you can use the COALESCE
function to replace the NULL
value with a zero, like this:
SELECT generate_series(start_hour, end_hour, '1 hour') AS hour_bucket, COALESCE(count(my_table.created_at), 0) AS count FROM (SELECT date_trunc('hour', MIN(created_at)) AS start_hour, date_trunc('hour', MAX(created_at)) AS end_hour FROM my_table) AS time_range LEFT JOIN my_table ON date_trunc('hour', my_table.created_at) = generate_series(start_hour, end_hour, '1 hour') GROUP BY hour_bucket ORDER BY hour_bucket;