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I have two tables YearlyCalculation and Eightweeks that I need to concatenate.
This my script for loading the YearlyCalculation table.
YearlyCalculation:
Load flt_no,
dep_stn,
arr_stn,
Month(flt_date) as Day_Month,
Year(flt_date) as Period,
((taxi_out_fuel_weight_kg+trip_fuel_kg) - (fob_engine_start_kg-fob_intime_kg))/30 as Delta_Flight_Fuel,
(interval(ata-atd-(sta-std),'m')) as Actual_Flight_Time_Over_Plan,
((zfw*2.971548)-planned_zero_fuel_weight_kg)/30 as ZFW_drop
Resident LidoData
The table looks like so(Some fields not shown). For each flt_no, it shows me the Avg(Delta_Flight_Fuel) for the past 13 months.
flt_no | arr_stn | Day_Month | Period | Avg(Delta_Flight_Fuel) |
1 | LHR | Jan | 2023 | -38.61364516 |
1 | LHR | Feb | 2023 | -31.27633333 |
1 | LHR | Mar | 2023 | -44.42931111 |
1 | LHR | Apr | 2023 | -44.76470115 |
1 | LHR | May | 2023 | -37.98098925 |
1 | LHR | Jun | 2023 | -54.72424138 |
1 | LHR | Jul | 2023 | -50.75052222 |
1 | LHR | Aug | 2023 | -37.28553763 |
1 | LHR | Sep | 2022 | -28.97011494 |
1 | LHR | Sep | 2023 | -38.30317333 |
1 | LHR | Oct | 2022 | -33.4694881 |
1 | LHR | Oct | 2023 | -66.6855 |
1 | LHR | Nov | 2022 | -34.19263333 |
1 | LHR | Dec | 2022 | -48.894 |
This is my script for loading the eightweeks table
Eightweeks:
Load flt_no as eight_flt_no,
dep_stn as eight_dep_stn,
arr_stn as eight_arr_stn,
WeekDay(flt_date) as eight_Day_Month,
if(Week(Today()-8), 'Last 8') as eight_Period,
((taxi_out_fuel_weight_kg+trip_fuel_kg) - (fob_engine_start_kg-fob_intime_kg))/30 as eight_Delta_Flight_Fuel,
(interval(ata-atd-(sta-std),'m')) as eight_Actual_Flight_Time_Over_Plan,
((zfw*2.971548)-planned_zero_fuel_weight_kg)/30 as eight_ZFW_drop
Resident LidoData;
The table looks like so. For each flt_no, it shows me the Avg(Delta_Flight_Fuel) for every day of the week from 8 weeks ago.
eight_flt_no | eight_arr_stn | eight_Day_Month | eight_Period | Avg(eight_Delta_Flight_Fuel) |
1 | LHR | Sun | Last 8 | -42.62955758 |
1 | LHR | Mon | Last 8 | -52.98312727 |
1 | LHR | Tue | Last 8 | -37.15182143 |
1 | LHR | Wed | Last 8 | -41.85949091 |
1 | LHR | Thu | Last 8 | -35.53621053 |
1 | LHR | Fri | Last 8 | -36.11191954 |
1 | LHR | Sat | Last 8 | -39.64489103 |
I tried concatenating the two tables using the script below
Concatenate(YearlyCalculation)
Load
eight_flt_no as flt_no,
eight_dep_stn as dep_stn,
eight_arr_stn as arr_stn,
eight_Day_Month as Day_Month,
eight_Period as Period,
eight_Delta_Flight_Fuel as Delta_Flight_Fuel,
eight_Actual_Flight_Time_Over_Plan as Actual_Flight_Time_Over_Plan,
eight_ZFW_drop as ZFW_drop
Resident Eightweeks;
The tables are concatenated but the Day_Month values coming from the Eightweeks table is no longer correct.
1 | LHR | Sun | Last 8 | -42.62955758 |
1 | LHR | Jan | Last 8 | -52.98312727 |
1 | LHR | Jan | 2023 | -38.61364516 |
1 | LHR | Feb | Last 8 | -37.15182143 |
1 | LHR | Feb | 2023 | -31.27633333 |
1 | LHR | Mar | Last 8 | -41.85949091 |
1 | LHR | Mar | 2023 | -44.42931111 |
1 | LHR | Apr | Last 8 | -35.53621053 |
1 | LHR | Apr | 2023 | -44.76470115 |
1 | LHR | May | Last 8 | -36.11191954 |
1 | LHR | May | 2023 | -37.98098925 |
1 | LHR | Jun | Last 8 | -39.64489103 |
1 | LHR | Jun | 2023 | -54.72424138 |
It seems like except for Sunday the rest of the WeekNames change to the month name
flt_no | arr_stn | Day_Month | Period | Avg(Delta_Flight_Fuel) |
1 | LHR | Sun | Last 8 | -42.62955758 |
1 | LHR | Jan | Last 8 | -52.98312727 |
1 | LHR | Feb | Last 8 | -37.15182143 |
1 | LHR | Mar | Last 8 | -41.85949091 |
1 | LHR | Apr | Last 8 | -35.53621053 |
1 | LHR | May | Last 8 | -36.11191954 |
1 | LHR | Jun | Last 8 | -39.64489103 |
How can I fix this?
I think this could be the possible reason for the overlap. I used MonthName(flt_date) as Day_Month instead of Month(flt_date) as Day_Month and then did the Concatenation. This seems to have fixed the issue with the overlapping.
flt_no | arr_stn | Day_Month |
Period | Avg(Delta_Flight_Fuel) |
1 | LHR | Sun | Last 8 | -43.21517262 |
1 | LHR | Mon | Last 8 | -52.98312727 |
1 | LHR | Tue | Last 8 | -37.15182143 |
1 | LHR | Wed | Last 8 | -41.85949091 |
1 | LHR | Thu | Last 8 | -35.53621053 |
1 | LHR | Fri | Last 8 | -36.11191954 |
1 | LHR | Sat | Last 8 | -39.71769182 |
1 | LHR | Sep 2022 | 2022 | -28.97011494 |
1 | LHR | Oct 2022 | 2022 | -33.4694881 |
1 | LHR | Nov 2022 | 2022 | -34.19263333 |
1 | LHR | Dec 2022 | 2022 | -48.894 |
1 | LHR | Jan 2023 | 2023 | -38.61364516 |
1 | LHR | Feb 2023 | 2023 | -31.27633333 |
1 | LHR | Mar 2023 | 2023 | -44.42931111 |
1 | LHR | Apr 2023 | 2023 | -44.76470115 |
1 | LHR | May 2023 | 2023 | -37.98098925 |
On the chart I calculate the dimension as PurgeChar(Day_Month,'0123456789') and see the values, exactly as I would like.
Hi QS_,
I think you should recalculate your Day_Month in Eightweeks table. It seems your Eightweeks date field not in proper format.
If you have date field like "eight_flt_date", you may use "WeekDay(eight_flt_date) as eight_Day_Month".
regards.
month() and weekday() results in dual() values whereby the numeric parts are the leading ones and each numeric value could have only one string-representation - which in your scenario results in an overlapping. You could simply avoid it by wrapping the functions with text() like:
text(month())
text(weekday())
I think this could be the possible reason for the overlap. I used MonthName(flt_date) as Day_Month instead of Month(flt_date) as Day_Month and then did the Concatenation. This seems to have fixed the issue with the overlapping.
flt_no | arr_stn | Day_Month |
Period | Avg(Delta_Flight_Fuel) |
1 | LHR | Sun | Last 8 | -43.21517262 |
1 | LHR | Mon | Last 8 | -52.98312727 |
1 | LHR | Tue | Last 8 | -37.15182143 |
1 | LHR | Wed | Last 8 | -41.85949091 |
1 | LHR | Thu | Last 8 | -35.53621053 |
1 | LHR | Fri | Last 8 | -36.11191954 |
1 | LHR | Sat | Last 8 | -39.71769182 |
1 | LHR | Sep 2022 | 2022 | -28.97011494 |
1 | LHR | Oct 2022 | 2022 | -33.4694881 |
1 | LHR | Nov 2022 | 2022 | -34.19263333 |
1 | LHR | Dec 2022 | 2022 | -48.894 |
1 | LHR | Jan 2023 | 2023 | -38.61364516 |
1 | LHR | Feb 2023 | 2023 | -31.27633333 |
1 | LHR | Mar 2023 | 2023 | -44.42931111 |
1 | LHR | Apr 2023 | 2023 | -44.76470115 |
1 | LHR | May 2023 | 2023 | -37.98098925 |
On the chart I calculate the dimension as PurgeChar(Day_Month,'0123456789') and see the values, exactly as I would like.