Query a public dataset with the BigQuery client libraries

C#

Take the C# tour

Go

Take the Go tour

Java

Take the Java tour

Node.js

Take the Node.js tour

PHP

Take the PHP tour

Python

Take the Python tour

Ruby

Take the Ruby tour

C#

1. In Cloud Shell, create a new C# project and file:

   dotnetnewconsole-nBigQueryCsharpDemo

   The output is similar to the following. Several lines are omitted to simplify the output.

   Welcome to .NET 6.0!
   ---------------------
   SDK Version: 6.0.407
   ...
   The template "Console App" was created successfully.
   ...
   

   This command creates a C# project that's named BigQueryCsharpDemo and a file that's named Program.cs.

2. Open the Cloud Shell Editor:

   cloudshellworkspaceBigQueryCsharpDemo

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

4. Open your project directory:

   cdBigQueryCsharpDemo

5. Install the BigQuery client library for C#:

   dotnetaddpackageGoogle.Cloud.BigQuery.V2

   The output is similar to the following. Several lines are omitted to simplify the output.

   Determining projects to restore...
   Writing /tmp/tmpF7EKSd.tmp
   ...
   info : Writing assets file to disk.
   ...
   

6. Set the variable GOOGLE_PROJECT_ID to the value GOOGLE_CLOUD_PROJECT and export the variable:

   exportGOOGLE_PROJECT_ID=$GOOGLE_CLOUD_PROJECT

7. Click Open Editor.

8. In the Explorer pane, locate your BIGQUERYCSHARPDEMO project.

9. Click the Program.cs file to open it.

10. 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, replace the contents of the file with the following code:

    
    usingSystem;
    usingGoogle.Cloud.BigQuery.V2 ;
    namespaceGoogleCloudSamples
    {
    publicclassProgram
    {
    publicstaticvoidMain(string[]args)
    {
    stringprojectId=Environment.GetEnvironmentVariable("GOOGLE_PROJECT_ID");
    varclient=BigQueryClient .Create (projectId);
    stringquery=@"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";
    varresult=client.ExecuteQuery (query,parameters:null);
    Console.Write("\nQuery Results:\n------------\n");
    foreach(varrowinresult)
    {
    Console.WriteLine($"{row["url"]}: {row["view_count"]} views");
    }
    }
    }
    }
    

11. Click Open Terminal.

12. In the terminal, run the Program.cs script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    dotnetrun

    The result is similar to the following:

    Query Results:
    ------------
    https://stackoverflow.com/questions/35159967: 170023 views
    https://stackoverflow.com/questions/22879669: 142581 views
    https://stackoverflow.com/questions/10604135: 132406 views
    https://stackoverflow.com/questions/44564887: 128781 views
    https://stackoverflow.com/questions/27060396: 127008 views
    https://stackoverflow.com/questions/12482637: 120766 views
    https://stackoverflow.com/questions/20673986: 115720 views
    https://stackoverflow.com/questions/39109817: 108368 views
    https://stackoverflow.com/questions/11057219: 105175 views
    https://stackoverflow.com/questions/43195143: 101878 views
    

You have successfully queried a public dataset with the BigQuery C# client library.

Go

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

   mkdirbigquery-go-quickstart\
   &&touch\
   bigquery-go-quickstart/app.go

   This command creates a Go project that's named bigquery-go-quickstart and a file that's named app.go.

2. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-go-quickstart

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

4. Open your project directory:

   cdbigquery-go-quickstart

5. Create a go.mod file:

   gomodinitquickstart

   The output is similar to the following:

   go: creating new go.mod: module quickstart
   go: to add module requirements and sums:
    go mod tidy
   

6. Install the BigQuery client library for Go:

   gogetcloud.google.com/go/bigquery

   The output is similar to the following. Several lines are omitted to simplify the output.

   go: downloading cloud.google.com/go/bigquery v1.49.0
   go: downloading cloud.google.com/go v0.110.0
   ...
   go: added cloud.google.com/go/bigquery v1.49.0
   go: added cloud.google.com/go v0.110.0
   

7. Click Open Editor.

8. In the Explorer pane, locate your BIGQUERY-GO-QUICKSTART project.

9. Click the app.go file to open it.

10. 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.go file:

    
    // Command simpleapp queries the Stack Overflow public dataset in Google BigQuery.
    packagemain
    import(
    "context"
    "fmt"
    "io"
    "log"
    "os"
    "cloud.google.com/go/bigquery"
    "google.golang.org/api/iterator"
    )
    funcmain(){
    projectID:=os.Getenv("GOOGLE_CLOUD_PROJECT")
    ifprojectID==""{
    fmt.Println("GOOGLE_CLOUD_PROJECT environment variable must be set.")
    os.Exit(1)
    }
    ctx:=context.Background()
    client,err:=bigquery.NewClient(ctx,projectID)
    iferr!=nil{
    log.Fatalf("bigquery.NewClient: %v",err)
    }
    deferclient.Close()
    rows,err:=query(ctx,client)
    iferr!=nil{
    log.Fatal(err)
    }
    iferr:=printResults(os.Stdout,rows);err!=nil{
    log.Fatal(err)
    }
    }
    // query returns a row iterator suitable for reading query results.
    funcquery(ctxcontext.Context,client*bigquery.Client)(*bigquery.RowIterator ,error){
    query:=client.Query(
    `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;`)
    returnquery.Read(ctx)
    }
    typeStackOverflowRowstruct{
    URLstring`bigquery:"url"`
    ViewCountint64`bigquery:"view_count"`
    }
    // printResults prints results from a query to the Stack Overflow public dataset.
    funcprintResults(wio.Writer,iter*bigquery.RowIterator )error{
    for{
    varrowStackOverflowRow
    err:=iter.Next(&row)
    iferr==iterator.Done{
    returnnil
    }
    iferr!=nil{
    returnfmt.Errorf("error iterating through results: %w",err)
    }
    fmt.Fprintf(w,"url: %s views: %d\n",row.URL,row.ViewCount)
    }
    }
    

11. Click Open Terminal.

12. In the terminal, run the app.go script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    gorunapp.go

    The result is similar to the following:

    https://stackoverflow.com/questions/35159967 : 170023 views
    https://stackoverflow.com/questions/22879669 : 142581 views
    https://stackoverflow.com/questions/10604135 : 132406 views
    https://stackoverflow.com/questions/44564887 : 128781 views
    https://stackoverflow.com/questions/27060396 : 127008 views
    https://stackoverflow.com/questions/12482637 : 120766 views
    https://stackoverflow.com/questions/20673986 : 115720 views
    https://stackoverflow.com/questions/39109817 : 108368 views
    https://stackoverflow.com/questions/11057219 : 105175 views
    https://stackoverflow.com/questions/43195143 : 101878 views
    

You have successfully queried a public dataset with the BigQuery Go client library.

Java

1. In Cloud Shell, create a new Java project using Apache Maven:

   mvnarchetype:generate\
   -DgroupId=com.google.app\
   -DartifactId=bigquery-java-quickstart\
   -DinteractiveMode=false

   This command creates a Maven project that's named bigquery-java-quickstart.

   The output is similar to the following. Several lines are omitted to simplify the output.

   [INFO] Scanning for projects...
   ...
   [INFO] Building Maven Stub Project (No POM) 1
   ...
   [INFO] BUILD SUCCESS
   ...
   

   There are many dependency management systems that you can use other than Maven. For more information, learn how to set up a Java development environment to use with client libraries.

2. Rename the App.java file that Maven creates by default:

   mv\
   bigquery-java-quickstart/src/main/java/com/google/app/App.java\
   bigquery-java-quickstart/src/main/java/com/google/app/SimpleApp.java

3. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-java-quickstart

4. If you are prompted whether to synchronize the Java classpath or configuration, click Always.

   If you are not prompted and encounter an error that is related to the classpath during this walkthrough, do the following:

   1. Click File > Preferences > Open Settings (UI).
   2. Click Extensions > Java.
   3. Scroll to Configuration: Update Build Configuration and select automatic.

5. In the Explorer pane, locate your BIGQUERY-JAVA-QUICKSTART project.

6. Click the pom.xml file to open it.

7. Inside the <dependencies> tag, add the following dependency after any existing ones. Do not replace any existing dependencies.

   <dependency>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-bigquery</artifactId>
   </dependency>
   

8. On the line following the closing tag (</dependencies>), add the following:

   <dependencyManagement>
   <dependencies>
   <dependency>
   <groupId>com.google.cloud</groupId>
   <artifactId>libraries-bom</artifactId>
   <version>26.1.5</version>
   <type>pom</type>
   <scope>import</scope>
   </dependency>
   </dependencies>
   </dependencyManagement>
   

9. In the Explorer pane, in your BIGQUERY-JAVA-QUICKSTART project, click src > main/java/com/google/app > SimpleApp.java. The file opens.

10. To create a query against the bigquery-public-data.stackoverflow dataset, leave the first line of the file (package com.google.app;), and replace the remaining contents of the file with the following code:

    
    importcom.google.cloud.bigquery.BigQuery ;
    importcom.google.cloud.bigquery.BigQueryException ;
    importcom.google.cloud.bigquery.BigQueryOptions ;
    importcom.google.cloud.bigquery.FieldValueList ;
    importcom.google.cloud.bigquery.Job ;
    importcom.google.cloud.bigquery.JobId ;
    importcom.google.cloud.bigquery.JobInfo ;
    importcom.google.cloud.bigquery.QueryJobConfiguration ;
    importcom.google.cloud.bigquery.TableResult ;
    publicclass SimpleApp{
    publicstaticvoidmain(String...args)throwsException{
    // TODO(developer): Replace these variables before running the app.
    StringprojectId="MY_PROJECT_ID";
    simpleApp(projectId);
    }
    publicstaticvoidsimpleApp(StringprojectId){
    try{
    BigQuery bigquery=BigQueryOptions .getDefaultInstance().getService();
    QueryJobConfiguration queryConfig=
    QueryJobConfiguration .newBuilder(
    "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")
    // Use standard SQL syntax for queries.
    // See: https://cloud.google.com/bigquery/sql-reference/
    .setUseLegacySql(false)
    .build();
    JobId jobId=JobId .newBuilder().setProject(projectId).build();
    Job queryJob=bigquery.create (JobInfo.newBuilder(queryConfig).setJobId(jobId).build());
    // Wait for the query to complete.
    queryJob=queryJob.waitFor ();
    // Check for errors
    if(queryJob==null){
    thrownewRuntimeException("Job no longer exists");
    }elseif(queryJob.getStatus().getExecutionErrors ()!=null
     && queryJob.getStatus().getExecutionErrors().size() > 0){
    // TODO(developer): Handle errors here. An error here do not necessarily mean that the job
    // has completed or was unsuccessful.
    // For more details: https://cloud.google.com/bigquery/troubleshooting-errors
    thrownewRuntimeException("An unhandled error has occurred");
    }
    // Get the results.
    TableResult result=queryJob.getQueryResults ();
    // Print all pages of the results.
    for(FieldValueList row:result.iterateAll ()){
    // String type
    Stringurl=row.get("url").getStringValue();
    StringviewCount=row.get("view_count").getStringValue();
    System.out.printf("%s : %s views\n",url,viewCount);
    }
    }catch(BigQueryException |InterruptedExceptione){
    System.out.println("Simple App failed due to error: \n"+e.toString());
    }
    }
    }

    The query returns the top 10 most viewed Stack Overflow pages and their view counts.

11. Right-click SimpleApp.java and click Run Java. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    The result is similar to the following:

    https://stackoverflow.com/questions/35159967 : 170023 views
    https://stackoverflow.com/questions/22879669 : 142581 views
    https://stackoverflow.com/questions/10604135 : 132406 views
    https://stackoverflow.com/questions/44564887 : 128781 views
    https://stackoverflow.com/questions/27060396 : 127008 views
    https://stackoverflow.com/questions/12482637 : 120766 views
    https://stackoverflow.com/questions/20673986 : 115720 views
    https://stackoverflow.com/questions/39109817 : 108368 views
    https://stackoverflow.com/questions/11057219 : 105175 views
    https://stackoverflow.com/questions/43195143 : 101878 views
    

You have successfully queried a public dataset with the BigQuery Java client library.

Node.js

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

   mkdirbigquery-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:

   cloudshellworkspacebigquery-node-quickstart

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

4. Open your project directory:

   cdbigquery-node-quickstart

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

   npminstall@google-cloud/bigquery

   The output is similar to the following:

   added 63 packages in 2s
   

6. Click Open Editor.

7. In the Explorer pane, locate your BIGQUERY-NODE-QUICKSTART project.

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

9. 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');
   asyncfunctionqueryStackOverflow(){
   // Queries a public Stack Overflow dataset.
   // Create a client
   constbigqueryClient=newBigQuery ();
   // The SQL query to run
   constsqlQuery=`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`;
   constoptions={
   query:sqlQuery,
   // Location must match that of the dataset(s) referenced in the query.
   location:'US',
   };
   // Run the query
   const[rows]=awaitbigqueryClient.query(options);
   console.log('Query Results:');
   rows.forEach(row=>{
   consturl=row['url'];
   constviewCount=row['view_count'];
   console.log(`url: ${url}, ${viewCount} views`);
   });
   }
   queryStackOverflow();

10. Click Open Terminal.

11. In the terminal, run the app.js script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    nodeapp.js

    The result is similar to the following:

    Query Results:
    url: https://stackoverflow.com/questions/35159967, 170023 views
    url: https://stackoverflow.com/questions/22879669, 142581 views
    url: https://stackoverflow.com/questions/10604135, 132406 views
    url: https://stackoverflow.com/questions/44564887, 128781 views
    url: https://stackoverflow.com/questions/27060396, 127008 views
    url: https://stackoverflow.com/questions/12482637, 120766 views
    url: https://stackoverflow.com/questions/20673986, 115720 views
    url: https://stackoverflow.com/questions/39109817, 108368 views
    url: https://stackoverflow.com/questions/11057219, 105175 views
    url: https://stackoverflow.com/questions/43195143, 101878 views
    

You have successfully queried a public dataset with the BigQuery Node.js client library.

PHP

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

   mkdirbigquery-php-quickstart\
   &&touch\
   bigquery-php-quickstart/app.php

   This command creates a PHP project that's named bigquery-php-quickstart and a file that's named app.php.

2. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-php-quickstart

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

4. Open your project directory:

   cdbigquery-php-quickstart

5. Install the BigQuery client library for PHP:

   composerrequiregoogle/cloud-bigquery

   The output is similar to the following. Several lines are omitted to simplify the output.

   Running composer update google/cloud-bigquery
   Loading composer repositories with package information
   Updating dependencies
   ...
   No security vulnerability advisories found
   Using version ^1.24 for google/cloud-bigquery
   

6. Click Open Editor.

7. In the Explorer pane, locate your BIGQUERY-PHP-QUICKSTART project.

8. Click the app.php file to open it.

9. 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.php file:

   <?php
   # ...
   require __DIR__ . '/vendor/autoload.php';
   use Google\Cloud\BigQuery\BigQueryClient;
   $bigQuery = new BigQueryClient();
   $query = <<<ENDSQL
   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;
   ENDSQL;
   $queryJobConfig = $bigQuery->query($query);
   $queryResults = $bigQuery->runQuery($queryJobConfig);
   if ($queryResults->isComplete()) {
    $i = 0;
    $rows = $queryResults->rows();
    foreach ($rows as $row) {
    printf('--- Row %s ---' . PHP_EOL, ++$i);
    printf('url: %s, %s views' . PHP_EOL, $row['url'], $row['view_count']);
    }
    printf('Found %s row(s)' . PHP_EOL, $i);
   } else {
    throw new Exception('The query failed to complete');
   }

10. Click Open Terminal.

11. In the terminal, run the app.php script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    phpapp.php

    The result is similar to the following:

    --- Row 1 ---
    url: https://stackoverflow.com/questions/35159967, 170023 views
    --- Row 2 ---
    url: https://stackoverflow.com/questions/22879669, 142581 views
    --- Row 3 ---
    url: https://stackoverflow.com/questions/10604135, 132406 views
    --- Row 4 ---
    url: https://stackoverflow.com/questions/44564887, 128781 views
    --- Row 5 ---
    url: https://stackoverflow.com/questions/27060396, 127008 views
    --- Row 6 ---
    url: https://stackoverflow.com/questions/12482637, 120766 views
    --- Row 7 ---
    url: https://stackoverflow.com/questions/20673986, 115720 views
    --- Row 8 ---
    url: https://stackoverflow.com/questions/39109817, 108368 views
    --- Row 9 ---
    url: https://stackoverflow.com/questions/11057219, 105175 views
    --- Row 10 ---
    url: https://stackoverflow.com/questions/43195143, 101878 views
    Found 10 row(s)
    

You have successfully queried a public dataset with the BigQuery PHP client library.

Python

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

   mkdirbigquery-python-quickstart\
   &&touch\
   bigquery-python-quickstart/app.py

   This command creates a Python project that's named bigquery-python-quickstart and a file that's named app.py.

2. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-python-quickstart

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

4. Open your project directory:

   cdbigquery-python-quickstart

5. Install the BigQuery client library for Python:

   pipinstall--upgradegoogle-cloud-bigquery

   The output is similar to the following. Several lines are omitted to simplify the output.

   Installing collected packages: google-cloud-bigquery
   ...
   Successfully installed google-cloud-bigquery-3.9.0
   ...
   

6. Click Open Editor.

7. In the Explorer pane, locate your BIGQUERY-PYTHON-QUICKSTART project.

8. Click the app.py file to open it.

9. 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.py file:

   fromgoogle.cloudimport bigquery
   defquery_stackoverflow() -> None:
    client = bigquery .Client ()
    results = client.query_and_wait (
   """
    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"""
    ) # Waits for job to complete.
    for row in results:
    print("{} : {} views".format(row.url, row.view_count))
   if __name__ == "__main__":
    query_stackoverflow()

10. Click Open Terminal.

11. In the terminal, run the app.py script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    pythonapp.py

    The result is similar to the following:

    https://stackoverflow.com/questions/35159967 : 170023 views
    https://stackoverflow.com/questions/22879669 : 142581 views
    https://stackoverflow.com/questions/10604135 : 132406 views
    https://stackoverflow.com/questions/44564887 : 128781 views
    https://stackoverflow.com/questions/27060396 : 127008 views
    https://stackoverflow.com/questions/12482637 : 120766 views
    https://stackoverflow.com/questions/20673986 : 115720 views
    https://stackoverflow.com/questions/39109817 : 108368 views
    https://stackoverflow.com/questions/11057219 : 105175 views
    https://stackoverflow.com/questions/43195143 : 101878 views
    

You have successfully queried a public dataset with the BigQuery Python client library.

Ruby

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

   mkdirbigquery-ruby-quickstart\
   &&touch\
   bigquery-ruby-quickstart/app.rb

   This command creates a Ruby project that's named bigquery-ruby-quickstart and a file that's named app.rb.

2. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-ruby-quickstart

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

4. Open your project directory:

   cdbigquery-ruby-quickstart

5. Install the BigQuery client library for Ruby:

   geminstallgoogle-cloud-bigquery

   The output is similar to the following. Several lines are omitted to simplify the output.

   23 gems installed
   

6. Click Open Editor.

7. In the Explorer pane, locate your BIGQUERY-RUBY-QUICKSTART project.

8. Click the app.rb file to open it.

9. 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.rb file:

   require"google/cloud/bigquery"
   # This uses Application Default Credentials to authenticate.
   # @see https://cloud.google.com/bigquery/docs/authentication/getting-started
   bigquery=Google::Cloud::Bigquery .new
   sql="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"
   results=bigquery.querysql
   results.eachdo|row|
   puts"#{row [:url]}: #{row [:view_count]} views"
   end

10. Click Open Terminal.

11. In the terminal, run the app.rb script. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    rubyapp.rb

    The result is similar to the following:

    https://stackoverflow.com/questions/35159967: 170023 views
    https://stackoverflow.com/questions/22879669: 142581 views
    https://stackoverflow.com/questions/10604135: 132406 views
    https://stackoverflow.com/questions/44564887: 128781 views
    https://stackoverflow.com/questions/27060396: 127008 views
    https://stackoverflow.com/questions/12482637: 120766 views
    https://stackoverflow.com/questions/20673986: 115720 views
    https://stackoverflow.com/questions/39109817: 108368 views
    https://stackoverflow.com/questions/11057219: 105175 views
    https://stackoverflow.com/questions/43195143: 101878 views
    

You have successfully queried a public dataset with the BigQuery Ruby client library.

Rust

1. In Cloud Shell, create a new Rust project:

   cargonewbigquery-rust-quickstart--bin

   This command creates a Rust project that's named bigquery-rust-quickstart and a directory structure with src/main.rs.

2. Open the Cloud Shell Editor:

   cloudshellworkspacebigquery-rust-quickstart

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

4. Open your project directory:

   cdbigquery-rust-quickstart

5. Install the BigQuery client library and Tokio runtime for Rust:

   cargoaddgoogle-cloud-bigquery
   cargoaddtokio--featuresmacros

6. Click Open Editor.

7. In the Explorer pane, locate your BIGQUERY-RUST-QUICKSTART project.

8. Click the src/main.rs file to open it.

9. 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, replace the contents of the src/main.rs file with the following code:

   usegoogle_cloud_bigquery::client::BigQuery;
   usegoogle_cloud_bigquery::query::FromRow;
   pubasyncfnsample(project_id:&str)->anyhow::Result<()>{
   letclient=BigQuery::builder().build().await?;
   letquery=r#"
   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;
   "#;
   letmutrows=client
   .query(query)
   .with_project_id(project_id)
   .until_done()
   .await?
   .read();
   #[derive(FromRow, Debug)]
   structStackOverflowRow{
   url:String,
   view_count:i64,
   }
   whileletSome(row)=rows.next().await.transpose()?{
   letrow:StackOverflowRow=row.try_into()?;
   println!("url: {} views: {}",row.url,row.view_count);
   }
   Ok(())
   }

10. Click Open Terminal.

11. In the terminal, run the program. If you are prompted to authorize Cloud Shell and agree to the terms, click Authorize.

    cargorun

    The result is similar to the following:

    Query Results:
    ------------
    https://stackoverflow.com/questions/35159967: 170023 views
    https://stackoverflow.com/questions/22879669: 142581 views
    https://stackoverflow.com/questions/10604135: 132406 views
    https://stackoverflow.com/questions/44564887: 128781 views
    https://stackoverflow.com/questions/27060396: 127008 views
    https://stackoverflow.com/questions/12482637: 120766 views
    https://stackoverflow.com/questions/20673986: 115720 views
    https://stackoverflow.com/questions/39109817: 108368 views
    https://stackoverflow.com/questions/11057219: 105175 views
    https://stackoverflow.com/questions/43195143: 101878 views
    

You have successfully queried a public dataset with the BigQuery Rust client library.

C#

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the BigQueryCsharpDemo folder that you created:

   rm-RBigQueryCsharpDemo

   The -R flag deletes all assets in a folder.

Go

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-go-quickstart folder that you created:

   rm-Rbigquery-go-quickstart

   The -R flag deletes all assets in a folder.

Java

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-java-quickstart folder that you created:

   rm-Rbigquery-java-quickstart

   The -R flag deletes all assets in a folder.

Node.js

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-node-quickstart folder that you created:

   rm-Rbigquery-node-quickstart

   The -R flag deletes all assets in a folder.

PHP

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-php-quickstart folder that you created:

   rm-Rbigquery-php-quickstart

   The -R flag deletes all assets in a folder.

Python

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-python-quickstart folder that you created:

   rm-Rbigquery-python-quickstart

   The -R flag deletes all assets in a folder.

Ruby

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-ruby-quickstart folder that you created:

   rm-Rbigquery-ruby-quickstart

   The -R flag deletes all assets in a folder.

Rust

1. In Cloud Shell, move up a directory:

   cd..

2. Delete the bigquery-rust-quickstart folder that you created:

   rm-Rbigquery-rust-quickstart

   The -R flag deletes all assets in a folder.