SQL Code:
SELECT community_table.community_name,
community_table.id,
DATE(timestamp) as date,
ifnull(COUNT(distinct app_opened.user_id), 0) as num_opened_DAU,
lag(COUNT(distinct app_opened.user_id)) OVER
(ORDER BY community_table.community_name, community_table.id, DATE(timestamp)) as pre_Value
FROM *** app_opened
LEFT JOIN (
SELECT DISTINCT id, community_id_2, context_traits_first_name, context_traits_last_name
FROM (
SELECT *
FROM ***,
UNNEST (JSON_EXTRACT_ARRAY(context_traits_community_ids, "$")) as community_id_2
)
GROUP by community_id_2, id, context_traits_first_name, context_traits_last_name) as community_id_table
ON community_id_table.id = app_opened.user_id
LEFT JOIN (
SELECT DISTINCT id, name as community_name
FROM ***) as community_table
ON TO_JSON_STRING(community_table.id) = community_id_table.community_id_2
WHERE app_opened.user_id is not null AND
EXTRACT(DAYOFWEEK FROM DATE(timestamp)) = 2 AND
community_table.community_name is not null
GROUP BY community_table.community_name, community_table.id, DATE(timestamp)
I am quite confused on what could be going wrong here, as the error says that timestamp is not grouped, even though I have grouped it at the bottom. I tried including just timestamp rather than Date(timestamp), but that ruins the table data that I am trying to create, where I find the number of users on a single day. Does anyone have any other ideas? My goal is for a single row, get the previous row's data, but because I am grouping by specific metrics, I need to make sure they are ordered by them as well. Thank you so much!
I think you simply need to modify OVER
part as:
OVER (PARTITION BY community_table.community_name, community_table.id, DATE(timestamp)) as pre_Value
UPDATE. Seems that the problem was caused by using DATE()
function within OVER
so it can be solved by using DATE(timestamp)
inside of subquery and passing alias to OVER
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