/* This example is to show the preferred way to use the td-connector */ /* To run, enter node path/to/node-example.js */ // Get the td-connector package const taos = require('td-connector'); /* We will connect to TDengine by passing an object comprised of connection options to taos.connect and store the * connection to the variable conn */ /* * Connection Options * host: the host to connect to * user: the use to login as * password: the password for the above user to login * config: the location of the taos.cfg file, by default it is in /etc/taos * port: the port we connect through */ var conn = taos.connect({host:"127.0.0.1", user:"root", password:"taosdata", config:"/etc/taos",port:0}); // Initialize our TDengineCursor, which we use to interact with TDengine var c1 = conn.cursor(); // c1.query(query) will return a TaosQuery object, of which then we can execute. The execute function then returns a promise // Let's create a database named db try { var query = c1.query('create database db;'); query.execute(); } catch(err) { conn.close(); throw err; } // Now we will use database db. As this query won't return any results, // we can simplify the code and directly use the c1.execute() function. No need for a TaosQuery object to wrap around the query try { c1.execute('use db;'); } catch (err) { conn.close(); throw err; } // Let's create a table called weather // which stores some weather data like humidity, AQI (air quality index), temperature, and some notes as text // We can also immedietely execute a TaosQuery object by passing true as the secodn argument // This will then return a promise that we can then attach a callback function to try { var promise = c1.query('create table if not exists weather (ts timestamp, humidity smallint, aqi int, temperature float, notes binary(30));', true); promise.then(function(){ console.log("Table created!"); }).catch(function() { console.log("Table couldn't be created.") }); } catch (err) { conn.close(); throw err; } // Let's get the description of the table weather // When using a TaosQuery object and then executing it, upon success it returns a TaosResult object, which is a wrapper around the // retrieved data and allows us to easily access data and manipulate or display it. try { c1.query('describe db.weather;').execute().then(function(result){ // Result is an instance of TaosResult and has the function pretty() which instantly logs a prettified version to the console result.pretty(); }); } catch (err) { conn.close(); throw err; } // Let's try to insert some random generated data to test with // We will use the bind function of the TaosQuery object to easily bind values to question marks in the query // For Timestamps, a normal Datetime object or TaosTimestamp or milliseconds can be passed in through the bind function let stime = new Date(); let interval = 1000; try { for (let i = 0; i < 1000; i++) { stime.setMilliseconds(stime.getMilliseconds() + interval); let insertData = [stime, parseInt(Math.random()*100), parseInt(Math.random()*300), parseFloat(Math.random()*10 + 30), "\"random note!\""]; //c1.execute('insert into db.weather values(' + insertData.join(',') + ' );'); var query = c1.query('insert into db.weather values(?, ?, ?, ?, ?);').bind(insertData); query.execute(); } } catch (err) { conn.close(); throw err; } // Now let's look at our newly inserted data var retrievedData; try { c1.query('select * from db.weather limit 5 offset 100;', true).then(function(result){ result.pretty(); // Neat! }); } catch (err) { conn.close(); throw err; } // Let's try running some basic functions try { c1.query('select count(*), avg(temperature), max(temperature), min(temperature), stddev(temperature) from db.weather;', true) .then(function(result) { result.pretty(); }) } catch(err) { conn.close(); throw err; } conn.close(); // Feel free to fork this repository or copy this code and start developing your own apps and backends with NodeJS and TDengine!