ClickHouse SQL: Assign Total Increase Values to Dates

You can use the following ClickHouse SQL code to assign each element of the 'total_increase' array to the corresponding date in the 'ts' array. This provides a clear breakdown of active app counts over time:

SELECT ts,
    total_increase,
    total_increase[i] as total_increase_num
FROM 
  (
    SELECT groupArray(Ds) as t,
      groupArray(app_count) as total_increase
    from (
        SELECT min_Ds as Ds,
          count(distinct AppIdentifier) as app_count
        FROM (
            select AppIdentifier,
              min(Ds) as min_Ds
            from log_iMonkey_iOS_overview
            GROUP BY AppIdentifier
          )
        GROUP BY min_Ds
        order by min_Ds
      ) 
  ) ARRAY
  JOIN t as ts,
  arrayEnumerate(t) as i where ts >= toDate(#monthly_active_new_business.start#)

This code accomplishes the following:

1. Calculates Daily Active App Counts: It queries the 'log_iMonkey_iOS_overview' table to determine the number of distinct 'AppIdentifier's for each minimum 'Ds' (date). This provides a daily count of active apps.
2. Groups and Aggregates: The results are grouped by 'Ds' and aggregated using groupArray to create arrays of dates ('t') and corresponding active app counts ('total_increase').
3. Joins and Enumerates: The generated arrays are joined with a 'ts' alias for the dates and an 'i' alias for an enumerated index. This ensures each date has a corresponding index.
4. Assigns Values: The total_increase[i] expression directly accesses the element from the 'total_increase' array at the index corresponding to each date, resulting in a 'total_increase_num' column where each date has the correct active app count.

This query allows you to easily analyze and visualize how the number of active apps has changed over time.