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CData Connect Server

Query Yahoo! Japan Data Solution Data as a SQL Server in Node.js



Execute SQL Server queries against Yahoo! Japan Data Solution data from Node.js.

You can use CData Connect Server to query Yahoo! Japan Data Solution data through a SQL Server interface. Follow the procedure below to create a virtual database for Yahoo! Japan Data Solution in Connect Server and start querying using Node.js.

CData Connect Server provides a pure SQL Server interface for Yahoo! Japan Data Solution, allowing you to easily build reports from live Yahoo! Japan Data Solution 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 Yahoo! Japan Data Solution, leveraging server-side processing to quickly return the requested Yahoo! Japan Data Solution data.

Create a Virtual SQL Server Database for Yahoo! Japan Data Solution Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Yahoo! Japan Data Solution" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Yahoo! Japan Data Solution.

    In order to authenticate, specify the following:

    • AppID: The App ID used for authentication. Send a request to the Yahoo! Japan Data Solution support team to obtain your App ID.
    • (Optional) Search Keyword: Specify any value to search for.
  4. Click Save Changes
  5. 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 Yahoo! Japan Data Solution data from Node.js.

Query Yahoo! Japan Data Solution from Node.js

The following example shows how to define a connection and execute queries to Yahoo! Japan Data Solution 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 Yahoo! Japan Data Solution (YahooDS1)

Connect to Yahoo! Japan Data Solution 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: 'YahooDS1',
    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 Yahoo! Japan Data Solution Data from Node.js

You have retrieved live Yahoo! Japan Data Solution Data using Node.js. Now, you can easily access data sources and more — all without replicating Yahoo! Japan Data Solution data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.