I'm extracting data from a csv file in to an array. I'm using the Streams approach to extract the data from the CSV into the the array. Once this Data has been extracted i need to do some processing on it using the reduce method. Here is where the problem starts. I run into a JavaScript heap out of memory Error.

I have managed to extract data without this error. How can I process this large data in a better way to avoid getting this error?

Here is my code

inputStream.pipe(new CsvReadableStream({
    parseNumbers: true,
    parseBooleans: true,
    trim: true
  }))
  .on('data', (row) => {
    csvData.push(row);
  })
  .on('end', function() {
    groupedResult = csvData.reduce((acc, curr) => { //<- How can i Process this large data in a better way?
      if (!acc[curr[2]]) {
        acc[curr[2]] = [];
      }
      acc[curr[2]].push(curr);
      return acc;
    }, []);
    for (let groupName in groupedResult) { //<- How can i Process this large data in a better way?
      const accumulated = groupedResult[groupName].reduce((acc, curr) => {
        acc[curr[1]] += curr[3];
        return acc; // ← return the accumulator to use for the next round
      }, {
        DEPOSIT: 0,
        WITHDRAWAL: 0
      })
      groupedBalance[groupName] = {
        Balance: accumulated['DEPOSIT'] - accumulated['WITHDRAWAL']
      };
    }
    for (let Gname in groupedBalance) {
      axios.get('https://min-api.cryptocompare.com/data/price?fsym=' + Gname + '&tsyms=USD&api_key=a437b4c23456')
        .then(response => {
          groupedApiResult[Gname] = {
            LastestBalance: ((groupedBalance[Gname].Balance * response.data.USD))
          };
          console.log(groupedApiResult);
        })
        .catch(error => {
          console.log(error);
        });
    }
  });