kevcodez

const client = await MongoClient.connect('mongodb-url', {
  minPoolSize: 20,
  maxPoolSize: 100,
});

kevcodez

import { ProxyAgent } from 'undici';

const SAFE_HTTP_METHODS = ['GET', 'HEAD', 'OPTIONS'];
const IDEMPOTENT_HTTP_METHODS = SAFE_HTTP_METHODS.concat(['PUT', 'DELETE']);
const HTTP_STATUS_TO_RETRY = [408, 429, 500, 501, 502, 503, 504];

const DEFAULT_TIMEOUT = 20_000;

const retryDenyList = new Set([
  'ENOTFOUND',

kevcodez

import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;

import com.amazonaws.auth.AWSStaticCredentialsProvider;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.client.builder.AwsClientBuilder;
import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.AmazonS3ClientBuilder;
import com.amazonaws.services.s3.model.CannedAccessControlList;

kevcodez

 async timestampCreateSeries({
    key,
    retentionInSeconds,
    labels,
  }: {
    key: string;
    retentionInSeconds: number;
    labels: string[][];
  }) {
    const args: (string | number)[] = [key, 'RETENTION', retentionInSeconds, 'DUPLICATE_POLICY', 'LAST'];

kevcodez

{
    "_id": "1232312323",
    "name": "Apple",
    "isin": "US123456890",
    "marketCap": 1233413233.123,
    "ipoDate": "2000-01-01",
    "lastPrice": 123.23,
    "dividends": [
      {
        "date": "2022-01-01",

kevcodez

db.assets.find({
  marketCap: { $gt: 10000 }
}, { 
  projection: { isin: 1 }
})

kevcodez

db.assets.find({
  marketCap: { $gt: 10000 }
}, { 
  projection: { isin: 1 }
})

kevcodez

const client = await MongoClient.connect('mongo-url', {
    // perf optimization - https://github.com/mongodb/node-mongodb-native/releases/tag/v4.3.0
    enableUtf8Validation: false, 
});

kevcodez

async function getQuotesForPeriod(
  assetIdentifier: string,
  from: Date,
  to: Date
): Promise<Quote[]> {
  const quotesCollection = await getQuotesCollection();

  /**
   * When fetching multiple years of data, queries are fast, but retrieval not so much.
   * To improve query performance, we split the interval into a few chunks and query/fetch the data in parallel,

kevcodez

const client = await MongoClient.connect(mongoConfig().mongoUrl, {
  compressors: 'snappy', // make sure Snappy is installed
});