Node.js Client Documentation

QuestDB offers Node.js developers a dedicated client designed for efficient and high-performance data ingestion.

The Node.js client has solid benefits:

  • Automatic table creation: No need to define your schema upfront.
  • Concurrent schema changes: Seamlessly handle multiple data streams with on-the-fly schema modifications
  • Optimized batching: Use strong defaults or curate the size of your batches
  • Health checks and feedback: Ensure your system's integrity with built-in health monitoring
  • Automatic write retries: Reuse connections and retry after interruptions

This quick start guide introduces the basic functionalities of the Node.js client, including setting up a connection, inserting data, and flushing data to QuestDB.

Requirements

Client installation

Install the QuestDB Node.js client via npm:

npm i -s @questdb/nodejs-client

Basic Usage

A simple example to connect to QuestDB, insert some data into a table, and flush the data:

const { Sender } = require("@questdb/nodejs-client")

async function run() {
// create a sender using HTTP protocol
const sender = Sender.fromConfig("http::addr=localhost:9000")

// add rows to the buffer of the sender
await sender
.table("prices")
.symbol("instrument", "EURUSD")
.floatColumn("bid", 1.0195)
.floatColumn("ask", 1.0221)
.at(Date.now(), "ms")
await sender
.table("prices")
.symbol("instrument", "GBPUSD")
.floatColumn("bid", 1.2076)
.floatColumn("ask", 1.2082)
.at(Date.now(), "ms")

// flush the buffer of the sender, sending the data to QuestDB
// the buffer is cleared after the data is sent, and the sender is ready to accept new data
await sender.flush()

// add rows to the buffer again, and send it to the server
await sender
.table("prices")
.symbol("instrument", "EURUSD")
.floatColumn("bid", 1.0197)
.floatColumn("ask", 1.0224)
.at(Date.now(), "ms")
await sender.flush()

// close the connection after all rows ingested
await sender.close()
}

run().then(console.log).catch(console.error)

Next Steps

Dive deeper into the Node.js client capabilities by exploring more examples provided in the GitHub repository.

To learn The Way of QuestDB SQL, see the Query & SQL Overview.

Should you encounter any issues or have questions, the active community Slack is a vibrant platform for discussions.