Open the Cloud Shell Editor

1. In Cloud Shell, create a new Node.js project and file:

    mkdir  
   bigquery-node-quickstart  
    \ 
    && 
   touch  
    \ 
     
   bigquery-node-quickstart/app.js 
   

   This command creates a Node.js project that's named bigquery-node-quickstart and a file that's named app.js .

2. Open the Cloud Shell Editor:

    cloudshell  
   workspace  
   bigquery-node-quickstart 
   

To learn how to prepare files for queries, click Next.

Prepare files for queries

1. To open a terminal in the Cloud Shell Editor, click Open Terminal.

2. Open your project directory:

     cd 
     
   bigquery-node-quickstart 
   

3. Install the BigQuery client library for Node.js:

    npm  
   install  
   @google-cloud/bigquery 
   

   The output is similar to the following:

    added 63 packages in 2s 
   

To learn how to query a public dataset in BigQuery, click Next.

Query a public dataset in BigQuery

1. Click Open Editor.

2. In the Explorerpane, locate your BIGQUERY-NODE-QUICKSTART project.

3. Click the app.js file to open it.

4. To create a query against the bigquery-public-data.stackoverflow dataset that returns the top 10 most viewed Stack Overflow pages and their view counts, copy the following code into the app.js file:

     // Import the Google Cloud client library 
    const 
     
    { 
    BigQuery 
    } 
     
    = 
     
    require 
    ( 
    ' @google-cloud/bigquery 
   ' 
    ); 
    async 
     
    function 
     
    queryStackOverflow 
    () 
     
    { 
     
    // Queries a public Stack Overflow dataset. 
     
    // Create a client 
     
    const 
     
    bigqueryClient 
     
    = 
     
    new 
     
     BigQuery 
    
    (); 
     
    // The SQL query to run 
     
    const 
     
    sqlQuery 
     
    = 
     
    `SELECT 
    CONCAT( 
    'https://stackoverflow.com/questions/', 
    CAST(id as STRING)) as url, 
    view_count 
    FROM \`bigquery-public-data.stackoverflow.posts_questions\` 
    WHERE tags like '%google-bigquery%' 
    ORDER BY view_count DESC 
    LIMIT 10` 
    ; 
     
    const 
     
    options 
     
    = 
     
    { 
     
    query 
    : 
     
    sqlQuery 
    , 
     
    // Location must match that of the dataset(s) referenced in the query. 
     
    location 
    : 
     
    'US' 
    , 
     
    }; 
     
    // Run the query 
     
    const 
     
    [ 
    rows 
    ] 
     
    = 
     
    await 
     
    bigqueryClient 
    . 
    query 
    ( 
    options 
    ); 
     
    console 
    . 
    log 
    ( 
    'Query Results:' 
    ); 
     
    rows 
    . 
    forEach 
    ( 
    row 
     
    = 
   >  
    { 
     
    const 
     
    url 
     
    = 
     
    row 
    [ 
    'url' 
    ]; 
     
    const 
     
    viewCount 
     
    = 
     
    row 
    [ 
    'view_count' 
    ]; 
     
    console 
    . 
    log 
    ( 
    `url: 
    ${ 
    url 
    } 
    , 
    ${ 
    viewCount 
    } 
    views` 
    ); 
     
    }); 
    } 
    queryStackOverflow 
    ();