I have query results from MongoDB as an array of documents with nested subdocuments and arrays of subdocuments.
[
{
RecordID: 9000,
RecordType: 'Item',
Location: {
_id: 5d0699326e310a6fde926a08,
LocationName: 'Example Location A'
}
Items: [
{
Title: 'Example Title A',
Format: {
_id: 5d0699326e310a6fde926a01,
FormatName: 'Example Format A'
}
},
{
Title: 'Example Title B',
Format: {
_id: 5d0699326e310a6fde926a01,
FormatName: 'Example Format B'
}
}
],
},
{
RecordID: 9001,
RecordType: 'Item',
Location: {
_id: 5d0699326e310a6fde926a08,
LocationName: 'Example Location C'
},
Items: [
{
Title: 'Example Title C',
Format: {
_id: 5d0699326e310a6fde926a01,
FormatName: 'Example Format C'
}
}
],
}
]
Problem
I need to export the results to XLSX in column order. The XLSX library is working to export the top-level properties (such as RecordID and RecordType) only. I also need to export the nested objects and arrays of objects. Given a list of property names e.g. RecordID, RecordType, Location.LocationName, Items.Title, Items.Format.FormatName the properties must be exported to XLSX columns in the specified order.
Desired result (or something similar -- I just need a 'flat' structure to be able to convert to XLSX columns)
[
{
RecordID: 9000,
RecordType: 'Item',
Location.LocationName: 'Example Location A',
Items.Title: 'Example Title A', 'Example Title B',
Items.Format.FormatName: 'Example Format A', 'Example Format B',
},
{
RecordID: 9001,
RecordType: 'Item',
Location.LocationName: 'Example Location C',
Items.Title: 'Example Title C',
Items.Format.FormatName: 'Example Format C',
}
]
I am using the XLSX library to convert the query results to XLSX which works for top-level properties only.
const worksheet: XLSX.WorkSheet = XLSX.utils.json_to_sheet(results.data);
const workbook: XLSX.WorkBook = { Sheets: { 'data': worksheet }, SheetNames: ['data'] };
const excelBuffer: any = XLSX.write(workbook, { bookType: 'xlsx', type: 'array' });
const data: Blob = new Blob([excelBuffer], { type: EXCEL_TYPE });
FileSaver.saveAs(data, new Date().getTime());
POSSIBLE OPTIONS
I am guessing I need to 'flatten' the structure either using aggregation in the query or by performing post-processing when the query is returned.
Option 1: Build the logic in the MongoDB query to flatten the results.
$replaceRoot might work since it is able to "promote an existing embedded document to the top level". Although I am not sure if this will solve the problem exactly, I do not want to modify the documents in place, I just need to flatten the results for exporting.
Here is the MongoDB query I am using to produce the results:
records.find({ '$and': [ { RecordID: { '$gt': 9000 } } ]},
{ skip: 0, limit: 10, projection: { RecordID: 1, RecordType: 1, 'Items.Title': 1, 'Items.Location': 1 }});
Option 2: Iterate and flatten the results on the Node server
This is likely not the most performant option, but might be the easiest if I can't find a way to do so within the MongoDB query.
from NodeJS MongoDB Mongoose export nested subdocuments and arrays to XLSX columns
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