Parser
The csv.Parser
class provides a streaming parser that reads CSV files line-by-line, offering fine-grained control over the parsing process and minimizing memory consumption.
It’s well-suited for scenarios where memory efficiency is crucial or when you need to process large CSV files without loading the entire file into memory.
Asynchronous nature
The csv.Parser
class methods are asynchronous and return Promises.
Due to k6’s current limitation with the init context (which doesn’t support asynchronous functions directly), you need to use an asynchronous wrapper such as:
import { open } from 'k6/experimental/fs';
import csv from 'k6/experimental/csv';
let file;
let parser;
(async function () {
file = await open('data.csv');
parser = new csv.Parser(file);
})();
Constructor
Parameter | Type | Description |
---|---|---|
file | fs.File | A file instance opened using the fs.open function. |
options | Options | An optional parameter object to customize the parsing behavior. Options can include a delimiter (string). |
Methods
Name | Description |
---|---|
next() | Reads the next line from the CSV file and returns a promise that resolves to an iterator-like object. |
Returns
A promise resolving to an object with the following properties:
Property | Type | Description |
---|---|---|
done | boolean | Indicates whether there are more rows to read (false) or the end of the file has been reached (true). |
value | string[] | Contains the fields of the CSV record as an array of strings. If done is true, value is undefined. |
Example
import { open } from 'k6/experimental/fs';
import csv from 'k6/experimental/csv';
export const options = {
iterations: 10,
};
const file = await open('data.csv');
const parser = new csv.Parser(file, { skipFirstLine: true });
export default async function () {
// The `next` method attempts to read the next row from the CSV file.
//
// It returns an iterator-like object with a `done` property that indicates whether
// there are more rows to read, and a `value` property that contains the row fields
// as an array.
const { done, value } = await parser.next();
if (done) {
throw new Error('No more rows to read');
}
// We expect the `value` property to be an array of strings, where each string is a field
// from the CSV record.
console.log(done, value);
}
Notes on usage
- Memory efficiency: Since
csv.Parser
reads the file line-by-line, it keeps memory usage low and avoids loading the entire set of records into memory. This is particularly useful for large CSV files. - Streaming control: The streaming approach provides more control over how records are processed, which can be beneficial for complex data handling requirements.