Forum Discussion
Helper IDynamic Columns Specification in CSV.Document
I create a sample according to your description. You may download my sample file to see the solution. The files I used are in the zip file.
Please notice: in "Field Names" query, you need to have multiple rows for columns that have same kind of data but different names in CSVs.
In "RequiredFields of Report1(Report2)", it should have all required field names in a single column.
For each report data query, we can provide a large enough number (e.g. 20 in my sample) for the "Columns" parameter in Csv.Document. This number should be larger than the possible maximum no. of columns in the future. Then remove top 3 rows, promote the first row as headers, select only required columns and rename these columns. Then append two queries into a single query to combine the data.
Change column data types in the combined query after you get all data for futher modeling/calculation.
Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it.
Helper IDear wdx223_daniel
Thanks for taking interest. I am providing herewith some sample data. Hope it helps. My actual data is company provided hence, I cannot share here.
Report 1
ABC CO. LTD, CENTRAL BRANCH
REPORT AS ON 01.02.2023
Date,Sales,Product,Type,No_of_inst,EMI,Last_EMI_Dt,Cust_Type_Code,Customer_Type
20.Feb.25,2269.96,Product1,Short_Term,119,6145,31.Jan.35,1,Individual
06.Feb.24,2090.39,Product2,Short_Term,110,7023,30.Apr.33,4,Company
09.Apr.24,58.07,Product3,Short_Term,107,6099,31.Mar.33,4,Company
10.Jul.24,720.39,Product4,Short_Term,109,5539,31.Aug.33,2,Proprietorship
01.Sep.24,1283.18,Product5,Short_Term,113,9856,28.Feb.34,3,Partnership
16.Aug.25,2149.1,Product3,Short_Term,119,7637,31.Jul.35,4,Company
29.Oct.24,2147.55,Product1,Short_Term,110,9566,31.Dec.33,1,Individual
19.Mar.24,736.56,Product5,Short_Term,111,5259,30.Jun.33,4,Company
29.Nov.25,894.57,Product1,Short_Term,117,6581,31.Aug.35,4,Company
06.Jun.24,682.96,Product3,Short_Term,109,6413,31.Jul.33,3,Partnership
19.Oct.24,2025.6,Product1,Short_Term,115,8197,31.May.34,1,Individual
06.Aug.25,1521.47,Product1,Short_Term,111,9744,30.Nov.34,3,Partnership
19.Jan.25,1425.18,Product4,Short_Term,106,8167,30.Nov.33,3,Partnership
07.Jan.24,215.61,Product4,Short_Term,113,8674,30.Jun.33,2,Proprietorship
15.May.24,2206.33,Product5,Short_Term,109,9000,30.Jun.33,4,Company
Report2
ABC CO. LTD, CENTRAL BRANCH
REPORT AS ON 01.02.2023
Date,Sales,Product,Type,DP,Stock_St_Dt,Cust_Type_Code,Cust_Type
24.Feb.25,41.05,Product3,Long_Term,12,16.Mar.25,1,Individual
12.May.25,1929.81,Product1,Long_Term,23,01.Jun.25,4,Company
24.May.24,2475.21,Product3,Long_Term,34,13.Jun.24,1,Individual
26.Feb.24,1472.55,Product1,Long_Term,45,17.Mar.24,4,Company
11.Aug.25,1196.43,Product1,Long_Term,56,31.Aug.25,1,Individual
01.Aug.25,2462.81,Product1,Long_Term,67,21.Aug.25,4,Company
05.Oct.25,689,Product3,Long_Term,78,25.Oct.25,2,Proprietorship
25.Nov.25,896.54,Product1,Long_Term,89,15.Dec.25,3,Partnership
06.Nov.25,1975.55,Product5,Long_Term,100,26.Nov.25,2,Proprietorship
18.May.24,562.39,Product5,Long_Term,111,07.Jun.24,1,Individual
02.Nov.24,1271.88,Product1,Long_Term,122,22.Nov.24,3,Partnership
03.Mar.24,1673.21,Product5,Long_Term,133,23.Mar.24,3,Partnership
26.Feb.24,190.09,Product3,Long_Term,144,17.Mar.24,3,Partnership
01.Jun.25,1780.44,Product4,Long_Term,155,21.Jun.25,3,Partnership
08.Mar.24,1840.18,Product4,Long_Term,166,28.Mar.24,1,Individual
Community Support
I create a sample according to your description. You may download my sample file to see the solution. The files I used are in the zip file.
Please notice: in "Field Names" query, you need to have multiple rows for columns that have same kind of data but different names in CSVs.
In "RequiredFields of Report1(Report2)", it should have all required field names in a single column.
For each report data query, we can provide a large enough number (e.g. 20 in my sample) for the "Columns" parameter in Csv.Document. This number should be larger than the possible maximum no. of columns in the future. Then remove top 3 rows, promote the first row as headers, select only required columns and rename these columns. Then append two queries into a single query to combine the data.
Change column data types in the combined query after you get all data for futher modeling/calculation.
Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it.