I have a mongoose schema defined as
const masterSchema = new mongoose.Schema({
chapter: { type: Number, required: true },
line: { type: Number, required: true },
translations: [
{
translation: { type: String, required: true },
},
],
});
I am trying to update the collection from a CSV file. The Collection has more than 5K documents.
Sample data
[
{
chapter: 1,
line: 1,
translations: [
{
translation: "xyz",
},
],
},
{
chapter: 1,
line: 2,
translations: [
{
translation: "abc",
},
],
},
];
CSV file has a format of
chapter,line,translation
1,1,example1
1,2,example2
....
The output should be
[
{
chapter: 1,
line: 1,
translations: [
{
translation: "xyz",
},
{
translation : "example1"
}
],
},
{
chapter: 1,
line: 2,
translations: [
{
translation: "abc",
},
{
translation : "example2"
}
],
},
]
I am confused about how updateMany() will be used to insert the data into the correct document. (if it the correct way to solve the problem)
Assuming that chapter+line is not unique, then really the hardest part of this exercise is parsing the CSV in the first place. CSV tends to throw surprises at you like quoted material, unintended leading and trailing whitespace in parsed columns, etc., so it is good to use some programming around it to control it, e.g.
import csv
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017')
db = client['testX']
coll = db['foo']
with open('myFile', 'r') as csvfile:
reader = csv.reader(csvfile)
header = next(reader, None) # capture and skip header line
for row in reader:
print(row) # for fun
# Careful: must turn parsed strings into int to match database type.
# Also, strip whitespace from col 2 for safety:
coll.update_many({'chapter':int(row[0]),'line':int(row[1])},
{'$push': {'translations':{'translation':row[2].strip()}}})