How to speed up writing points to InfluxDB? - multithreading

Question

I'm writing points (60k per batch) to InfluxDB.
Point contains time (i64) and value (f64).
It looks like.
use influx_db_client::{
Client, Point, Points, Value, Precision
};
use tokio;
fn main() {
let client = Client::new(Url::parse("http://localhost:8086").expect("Cannot parse url"), "test");
let data: Vec<Point> = get_data();
tokio::runtime::Runtime::new().unwrap().block_on(async move {
for chunk in data.chunks(60000) {
let points = Points::create_new(chunk.to_vec());
client.write_points(points, Some(Precision::Milliseconds), None).await.expect("Cannot write points");
}
});
}
It works and it takes 6 seconds but I think it may be faster.
I tried to use threadpool but it doesn't work because I can't create a lot of clients.
use influx_db_client::{
Client, Point, Points, Value, Precision
};
use tokio;
use threadpool::ThreadPool;
fn main() {
let n_workers = 4;
let data: Vec<Point> = get_data();
let pool = ThreadPool::new(n_workers);
for chunk in data.chunks(60000) {
let points = Points::create_new(chunk.to_vec());
pool.execute(move || {
tokio::runtime::Runtime::new().unwrap().block_on(async move {
let client = Client::new(Url::parse("http://localhost:8086").expect("Cannot parse url"), "test");
client.write_points(points, Some(Precision::Milliseconds), None).await.expect("Cannot write points");
});
});
}
}
So I don't know how to execute it faster.
Can I use asynchronous?
Probably you know some optimization tricks?
data contains 1'400'000 points (they are quickly created, 1.3 s, get_data() - 0.627 s, chunk loop (without calling client.write_points) - 0.678 s)