搭配 Cloud Run 函式 (第 1 代) 使用 Spanner


目標

編寫、部署及觸發可存取 Spanner 的 HTTP Cloud Run 函式

費用

本文使用 Spanner 和 Cloud Run 函式,這兩者都是 Google Cloud的計費元件。

事前準備

  1. 本文假設您擁有一個名為 test-instance 的 Spanner 執行個體,以及一個名為 example-db 且使用音樂應用程式結構定義的資料庫。如需使用音樂應用程式結構定義建立執行個體與資料庫的操作說明,請參閱使用主控台的快速入門導覽課程,或 GoJavaNode.jsPython 中的入門指南教學課程。

  2. 啟用 Cloud Run functions 和 Cloud Build API。

    啟用 API

  3. 安裝並初始化 gcloud CLI

    如果您已安裝 gcloud CLI,請執行下列指令來更新:

    gcloud components update
    
  4. 準備您的開發環境:

準備應用程式

  1. 將應用程式存放區範例複製到本機電腦中:

    Node.js

    git clone https://github.com/GoogleCloudPlatform/nodejs-docs-samples.git

    您也可以 下載 zip 格式的範例,然後解壓縮該檔案。

    Python

    git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git

    您也可以 下載 zip 格式的範例,然後解壓縮該檔案。

    Go

    git clone https://github.com/GoogleCloudPlatform/golang-samples.git

    您也可以 下載 zip 格式的範例,然後解壓縮該檔案。

    Java

    git clone https://github.com/GoogleCloudPlatform/java-docs-samples.git

    您也可以 下載 zip 格式的範例,然後解壓縮該檔案。

  2. 變更到包含 Cloud Run 函式程式碼範例的目錄,以存取 Spanner:

    Node.js

    cd nodejs-docs-samples/functions/spanner/

    Python

    cd python-docs-samples/functions/spanner/

    Go

    cd golang-samples/functions/spanner/

    Java

    cd java-docs-samples/functions/spanner/
  3. 查看程式碼範例:

    Node.js

    // Imports the Google Cloud client library
    const {Spanner} = require('@google-cloud/spanner');
    
    // Imports the functions framework to register your HTTP function
    const functions = require('@google-cloud/functions-framework');
    
    // Instantiates a client
    const spanner = new Spanner();
    
    // Your Cloud Spanner instance ID
    const instanceId = 'test-instance';
    
    // Your Cloud Spanner database ID
    const databaseId = 'example-db';
    
    /**
     * HTTP Cloud Function.
     *
     * @param {Object} req Cloud Function request context.
     * @param {Object} res Cloud Function response context.
     */
    functions.http('spannerQuickstart', async (req, res) => {
      // Gets a reference to a Cloud Spanner instance and database
      const instance = spanner.instance(instanceId);
      const database = instance.database(databaseId);
    
      // The query to execute
      const query = {
        sql: 'SELECT * FROM Albums',
      };
    
      // Execute the query
      try {
        const results = await database.run(query);
        const rows = results[0].map(row => row.toJSON());
        rows.forEach(row => {
          res.write(
            `SingerId: ${row.SingerId}, ` +
              `AlbumId: ${row.AlbumId}, ` +
              `AlbumTitle: ${row.AlbumTitle}\n`
          );
        });
        res.status(200).end();
      } catch (err) {
        res.status(500).send(`Error querying Spanner: ${err}`);
      }
    });

    Python

    import functions_framework
    from google.cloud import spanner
    
    instance_id = "test-instance"
    database_id = "example-db"
    
    client = spanner.Client()
    instance = client.instance(instance_id)
    database = instance.database(database_id)
    
    
    @functions_framework.http
    def spanner_read_data(request):
        query = "SELECT * FROM Albums"
    
        outputs = []
        with database.snapshot() as snapshot:
            results = snapshot.execute_sql(query)
    
            for row in results:
                output = "SingerId: {}, AlbumId: {}, AlbumTitle: {}".format(*row)
                outputs.append(output)
    
        return "\n".join(outputs)
    
    

    Go

    
    // Package spanner contains an example of using Spanner from a Cloud Function.
    package spanner
    
    import (
    	"context"
    	"fmt"
    	"log"
    	"net/http"
    	"sync"
    
    	"cloud.google.com/go/spanner"
    	"github.com/GoogleCloudPlatform/functions-framework-go/functions"
    	"google.golang.org/api/iterator"
    )
    
    // client is a global Spanner client, to avoid initializing a new client for
    // every request.
    var client *spanner.Client
    var clientOnce sync.Once
    
    // db is the name of the database to query.
    var db = "projects/my-project/instances/my-instance/databases/example-db"
    
    func init() {
    	functions.HTTP("HelloSpanner", HelloSpanner)
    }
    
    // HelloSpanner is an example of querying Spanner from a Cloud Function.
    func HelloSpanner(w http.ResponseWriter, r *http.Request) {
    	clientOnce.Do(func() {
    		// Declare a separate err variable to avoid shadowing client.
    		var err error
    		client, err = spanner.NewClient(context.Background(), db)
    		if err != nil {
    			http.Error(w, "Error initializing database", http.StatusInternalServerError)
    			log.Printf("spanner.NewClient: %v", err)
    			return
    		}
    	})
    
    	fmt.Fprintln(w, "Albums:")
    	stmt := spanner.Statement{SQL: `SELECT SingerId, AlbumId, AlbumTitle FROM Albums`}
    	iter := client.Single().Query(r.Context(), stmt)
    	defer iter.Stop()
    	for {
    		row, err := iter.Next()
    		if err == iterator.Done {
    			return
    		}
    		if err != nil {
    			http.Error(w, "Error querying database", http.StatusInternalServerError)
    			log.Printf("iter.Next: %v", err)
    			return
    		}
    		var singerID, albumID int64
    		var albumTitle string
    		if err := row.Columns(&singerID, &albumID, &albumTitle); err != nil {
    			http.Error(w, "Error parsing database response", http.StatusInternalServerError)
    			log.Printf("row.Columns: %v", err)
    			return
    		}
    		fmt.Fprintf(w, "%d %d %s\n", singerID, albumID, albumTitle)
    	}
    }
    

    Java

    import com.google.api.client.http.HttpStatusCodes;
    import com.google.cloud.functions.HttpFunction;
    import com.google.cloud.functions.HttpRequest;
    import com.google.cloud.functions.HttpResponse;
    import com.google.cloud.spanner.DatabaseClient;
    import com.google.cloud.spanner.DatabaseId;
    import com.google.cloud.spanner.LazySpannerInitializer;
    import com.google.cloud.spanner.ResultSet;
    import com.google.cloud.spanner.SpannerException;
    import com.google.cloud.spanner.SpannerOptions;
    import com.google.cloud.spanner.Statement;
    import com.google.common.annotations.VisibleForTesting;
    import com.google.common.base.MoreObjects;
    import java.io.PrintWriter;
    import java.util.logging.Level;
    import java.util.logging.Logger;
    
    // HelloSpanner is an example of querying Spanner from a Cloud Function.
    public class HelloSpanner implements HttpFunction {
      private static final Logger logger = Logger.getLogger(HelloSpanner.class.getName());
    
      // TODO<developer>: Set these environment variables.
      private static final String SPANNER_INSTANCE_ID =
          MoreObjects.firstNonNull(System.getenv("SPANNER_INSTANCE"), "my-instance");
      private static final String SPANNER_DATABASE_ID =
          MoreObjects.firstNonNull(System.getenv("SPANNER_DATABASE"), "example-db");
    
      private static final DatabaseId databaseId =
          DatabaseId.of(
              SpannerOptions.getDefaultProjectId(),
              SPANNER_INSTANCE_ID,
              SPANNER_DATABASE_ID);
    
      // The LazySpannerInitializer instance is shared across all instances of the HelloSpanner class.
      // It will create a Spanner instance the first time one is requested, and continue to return that
      // instance for all subsequent requests.
      private static final LazySpannerInitializer SPANNER_INITIALIZER = new LazySpannerInitializer();
    
      @VisibleForTesting
      DatabaseClient getClient() throws Throwable {
        return SPANNER_INITIALIZER.get().getDatabaseClient(databaseId);
      }
    
      @Override
      public void service(HttpRequest request, HttpResponse response) throws Exception {
        var writer = new PrintWriter(response.getWriter());
        try {
          DatabaseClient client = getClient();
          try (ResultSet rs =
              client
                  .singleUse()
                  .executeQuery(Statement.of("SELECT SingerId, AlbumId, AlbumTitle FROM Albums"))) {
            writer.printf("Albums:%n");
            while (rs.next()) {
              writer.printf(
                  "%d %d %s%n",
                  rs.getLong("SingerId"), rs.getLong("AlbumId"), rs.getString("AlbumTitle"));
            }
          } catch (SpannerException e) {
            writer.printf("Error querying database: %s%n", e.getMessage());
            response.setStatusCode(HttpStatusCodes.STATUS_CODE_SERVER_ERROR, e.getMessage());
          }
        } catch (Throwable t) {
          logger.log(Level.SEVERE, "Spanner example failed", t);
          writer.printf("Error setting up Spanner: %s%n", t.getMessage());
          response.setStatusCode(HttpStatusCodes.STATUS_CODE_SERVER_ERROR, t.getMessage());
        }
      }
    }

    函式會傳送 SQL 查詢,從您的資料庫擷取所有 Albums 資料。當您對函式端點提出 HTTP 要求時,函式就會執行。

部署函式

如要使用 HTTP 觸發條件部署函式,請在 spanner 目錄中執行下列指令:

Node.js

gcloud functions deploy get \
--runtime nodejs20 --trigger-http

使用 --runtime 標記指定支援的 Node.js 版本執行階段 ID,以執行函式。

Python

gcloud functions deploy spanner_read_data \
--runtime python312 --trigger-http

使用 --runtime 標記指定支援的 Python 版本執行階段 ID,以執行函式。

Go

gcloud functions deploy HelloSpanner \
--runtime go121 --trigger-http

使用 --runtime 標記指定支援的 Go 版本執行階段 ID,以執行函式。

Java

gcloud functions deploy java-spanner-function \
--entry-point functions.HelloSpanner \
--runtime java17 \
--memory 512MB --trigger-http

使用 --runtime 標記指定支援的 Java 版本執行函式的執行階段 ID。

部署函式可能需要兩分鐘的時間。

請注意函式完成部署時傳回的 url 值。您將會在觸發函式時使用它。

您可以在Google Cloud 控制台的「Cloud Run functions」頁面中,查看已部署的函式。您也可在該頁面上建立及編輯函式,並取得函式的詳細資料與診斷資訊。

觸發函式

對您的函式提出 HTTP 要求:

Node.js

curl "https://REGION-PROJECT_ID.cloudfunctions.net/get" 

Python

curl "https://REGION-PROJECT_ID.cloudfunctions.net/spanner_read_data" 

Go

curl "https://REGION-PROJECT_ID.cloudfunctions.net/HelloSpanner" 

Java

curl "https://REGION-PROJECT_ID.cloudfunctions.net/java-spanner-function" 

其中 REGIONPROJECT_ID 符合函式完成部署時,您在終端機中看見的值。您應會看見輸出顯示 SQL 查詢的結果。假設您完成了入門指南教學課程並填入了資料庫:

SingerId: 2, AlbumId: 2, AlbumTitle: Forever Hold Your Peace
SingerId: 1, AlbumId: 2, AlbumTitle: Go, Go, Go
SingerId: 2, AlbumId: 1, AlbumTitle: Green
SingerId: 2, AlbumId: 3, AlbumTitle: Terrified
SingerId: 1, AlbumId: 1, AlbumTitle: Total Junk

您也可以透過瀏覽器造訪函式的網址,查看 SQL 查詢的結果。

清除所用資源

如要避免系統向您的 Google Cloud 帳戶收取本文件所用 Spanner 和 Cloud Run 函式資源的額外費用,請執行下列操作:

  1. 刪除執行個體:

    gcloud spanner instances delete test-instance
    
  2. 刪除您部署的函式: <0

    Node.js

    gcloud functions delete get 

    Python

    gcloud functions delete spanner_read_data 

    Go

    gcloud functions delete HelloSpanner 

    Java

    gcloud functions delete java-spanner-function 

後續步驟