Parallel IO

Categories:

Examples

To improve performance you could run any number of queries in parallel.

For the sake of example let’s assume that each query takes this much time to execute:

500ms - insert-order
30ms - select-product-by-id
600ms - http-get-map
30ms - push-random-value-to-queue

If you run them one by one 500+30+600+30 api response will take 1160ms, but if you run them in parallel, response time of this query will be only 600ms

Create file ./queries/parallel-io.json

{
  "type": "javascript",
  "id": "parallel-io",
  "file": "parallel-io.js",
  "public": true,
  "params": []
}

Create file ./js/parallel-io.js


let multiRunOutput = multiRun([
    {
        "query": "insert-order",
        "params": {
            "totalPrice": 100,
        }
    },
    {
        "query": "select-product-by-id",
        "params": {
            "id": "123",
        }
    },
    {
        "query": "http-get-map",
        "params": {
            "long": 1.23456,
            "lat": 2.3456,
        }
    },
    {
        "query": "push-random-value-to-queue",
        "params": {
            "random": "thisIsSomeRandomText"
        }
    },
])

console.log(JSON.stringify(multiRunOutput))

setStatusCode(200)
setResult(multiRunOutput)