Below is my data where am looking to generate sum of revenues per month basis using columns event_time and price.
+--------------------------+----------------------+----------------------+-----------------------+-------------------------+-----------------+-----------------+-------------------+---------------------------------------+
| oct_data.event_time | oct_data.event_type | oct_data.product_id | oct_data.category_id | oct_data.category_code | oct_data.brand | oct_data.price | oct_data.user_id | oct_data.user_session |
+--------------------------+----------------------+----------------------+-----------------------+-------------------------+-----------------+-----------------+-------------------+---------------------------------------+
| 2019-10-01 00:00:00 UTC | cart | 5773203 | 1487580005134238553 | | runail | 2.62 | 463240011 | 26dd6e6e-4dac-4778-8d2c-92e149dab885 |
| 2019-10-01 00:00:03 UTC | cart | 5773353 | 1487580005134238553 | | runail | 2.62 | 463240011 | 26dd6e6e-4dac-4778-8d2c-92e149dab885 |
| 2019-10-01 00:00:07 UTC | cart | 5881589 | 2151191071051219817 | | lovely | 13.48 | 429681830 | 49e8d843-adf3-428b-a2c3-fe8bc6a307c9 |
| 2019-10-01 00:00:07 UTC | cart | 5723490 | 1487580005134238553 | | runail | 2.62 | 463240011 | 26dd6e6e-4dac-4778-8d2c-92e149dab885 |
| 2019-10-01 00:00:15 UTC | cart | 5881449 | 1487580013522845895 | | lovely | 0.56 | 429681830 | 49e8d843-adf3-428b-a2c3-fe8bc6a307c9 |
| 2019-10-01 00:00:16 UTC | cart | 5857269 | 1487580005134238553 | | runail | 2.62 | 430174032 | 73dea1e7-664e-43f4-8b30-d32b9d5af04f |
| 2019-10-01 00:00:19 UTC | cart | 5739055 | 1487580008246412266 | | kapous | 4.75 | 377667011 | 81326ac6-daa4-4f0a-b488-fd0956a78733 |
| 2019-10-01 00:00:24 UTC | cart | 5825598 | 1487580009445982239 | | | 0.56 | 467916806 | 2f5b5546-b8cb-9ee7-7ecd-84276f8ef486 |
| 2019-10-01 00:00:25 UTC | cart | 5698989 | 1487580006317032337 | | | 1.27 | 385985999 | d30965e8-1101-44ab-b45d-cc1bb9fae694 |
| 2019-10-01 00:00:26 UTC | view | 5875317 | 2029082628195353599 | | | 1.59 | 474232307 | 445f2b74-5e4c-427e-b7fa-6e0a28b156fe |
+--------------------------+----------------------+----------------------+-----------------------+-------------------------+-----------------+-----------------+-------------------+---------------------------------------+
I have used the below query but the sum does not seem to occur. Please suggest best approaches to generate the desired output.
select date_format(event_time,'MM') as Month,
sum(price) as Monthly_Revenue
from oct_data_new
group by date_format(event_time,'MM')
order by Month;
Note: event_time field is in TIMESTAMP format.
First convert the timestamp to date and then apply date_format():
select date_format(cast(event_time as date),'MM') as Month,
sum(price) as Monthly_Revenue
from oct_data_new
group by date_format(cast(event_time as date),'MM')
order by Month;
This will work if all the dates are of the same year.
If not then you should also group by year.