RE: Data into Excel

Chris — Fri, 18 Apr 2025 18:01:20 GMT

I'm going to assume the export format is a pipe-delimited CSV file..?

In this case, I would create a view to join the 2 tables and you can create an expression to populate a Text Doc from Template service such as below. This shows each line as an array - for the actual file output we would add line breaks with char(13) and join the output into one string for the template.

a!localVariables(
  local!data: {
    a!map(TyreID: 1, PartNumber: "ABC", CountryName: "India", IsActive: 1),
    a!map(TyreID: 1, PartNumber: "ABC", CountryName: "US", IsActive: 1),
    a!map(TyreID: 1, PartNumber: "ABC", CountryName: "Sweden", IsActive: 0),
    a!map(TyreID: 1, PartNumber: "ABC", CountryName: "France", IsActive: 0),
    a!map(TyreID: 2, PartNumber: "DEF", CountryName: "India", IsActive: 0),
    a!map(TyreID: 2, PartNumber: "DEF", CountryName: "US", IsActive: 0),
    a!map(TyreID: 2, PartNumber: "DEF", CountryName: "Sweden", IsActive: 1),
    a!map(TyreID: 2, PartNumber: "DEF", CountryName: "France", IsActive: 1)
  },
  local!delimiter: "|",
  local!countries: union(local!data.CountryName,local!data.CountryName),
  local!PartNumber: union(local!data.PartNumber,local!data.PartNumber),
  local!header: joinarray({"PartNumber",local!countries},local!delimiter),
  
  {
    local!header,
    a!forEach(
      items: local!PartNumber,
      expression: {
        concat(
          fv!item,
          local!delimiter,
          joinarray(index(local!data.IsActive,wherecontains(fv!item,local!data.PartNumber),null),local!delimiter)
        )
      }
    )
  }
)

RE: Data into Excel

Mike Schmitt — Fri, 18 Apr 2025 16:45:06 GMT

You might be able to make a View that creates the flattened, row-by-row construct you describe here. It would be very challenging to do it directly in any of the Excel Export options available. If you're able to get such a View working, though, you could export it to excel pretty easily using the Export DSE to Excel node, as far as I know.