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Get the Report →Query BambooHR Data as a SQL Server in Node.js
Execute SQL Server queries against BambooHR data from Node.js.
You can use CData Connect Server to query BambooHR data through a SQL Server interface. Follow the procedure below to create a virtual database for BambooHR in Connect Server and start querying using Node.js.
CData Connect Server provides a pure SQL Server interface for BambooHR, allowing you to easily build reports from live BambooHR data in Node.js — without replicating the data to a natively supported database. As you build visualizations, Node.js generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to BambooHR, leveraging server-side processing to quickly return the requested BambooHR data.
Create a Virtual SQL Server Database for BambooHR Data
CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.
- Login to Connect Server and click Connections.
- Select "BambooHR" from Available Data Sources.
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Enter the necessary authentication properties to connect to BambooHR.
Start by setting the Profile connection property to the location of the BambooHR Profile on disk (e.g. C:\profiles\bamboohr.apip). Next, set the ProfileSettings connection property to the connection string for BambooHR (see below).
BambooHR API Profile Settings
In order to authenticate to BambooHR, you'll need to provide your API Key. To generate an API key, log in and click your name in the upper right-hand corner of any page to get to the user context menu. If you have sufficient permissions, there will be an "API Keys" option in that menu to go to the page, where you can create a new API Key. Additionally, you will need to set the Domain, found in the domain name of your BambooHR account. For example if your BambooHR account is acmeinc.bamboohr.com, then the Domain should be 'acmeinc'. Set both the API Key and Domain in the ProfileSettings property to connect.
- Click Save Changes
- Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.
With the virtual database created, you are ready to connect to BambooHR data from Node.js.
Query BambooHR from Node.js
The following example shows how to define a connection and execute queries to BambooHR with the SQL Server module. You will need the following information:
- Host name, or address, and port: The address of your Connect Server instance and the port (1433)
- Username and password: The username and password of a user you authorized on Connect Server
- Database name: The database you configured for BambooHR (API1)
Connect to BambooHR data and start executing queries with the code below:
const sql = require('mssql'); const config = { user: 'your_connect_username', password: 'your_connect_password', server: 'connect_server_url', port: 1433, // optional, defaults to 1433 database: 'API1', authentication: { type: 'default' }, options: { encrypt: true } } console.log("Starting..."); connectAndQuery(); async function connectAndQuery() { try { var poolConnection = await sql.connect(config); console.log("Reading rows from the table..."); var resultSet = await poolConnection.request().query(`SELECT * FROM table_name`); console.log(`${resultSet.recordset.length} rows returned.`); // output column headers var columns = ""; for (var column in resultSet.recordset.columns) { columns += column + ", "; } console.log("%s ", columns.substring(0, columns.length - 2)); // ouput row contents from default record set resultSet.recordset.forEach(row => { console.log("%s %s", row.CategoryName, row.ProductName); }); // close connection only when we're certain application is finished poolConnection.close(); } catch (err) { console.error(err.message); } }
SQL Server Access to BambooHR Data from Node.js
You have retrieved live BambooHR Data using Node.js. Now, you can easily access data sources and more — all without replicating BambooHR data.
To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.