Java中的数据存储区导出逻辑

Question

Thankfully, Google announced the export logic from cloud Datastore. I would like to set up schedule-export in my platform. However, it's not Python, but Java. So I need to use cron.xml and Java logic to design this logic.

Is there any reference to design Datastore export logic (cloud_datastore_admin.py) in Java? Especially, I need to transform this part in Java

app = webapp2.WSGIApplication(
[
    ('/cloud-datastore-export', Export),
], debug=True)

https://cloud.google.com/datastore/docs/schedule-export

Answer 1

You can create the skeleton for App Egnine by following these instructions .

Once you have the skeleton, add something like this to handle export requests:

CloudDatastoreExport.java

package com.google.example.datastore;

import com.google.appengine.api.appidentity.AppIdentityService;
import com.google.appengine.api.appidentity.AppIdentityServiceFactory;
import com.google.apphosting.api.ApiProxy;
import com.google.common.io.CharStreams;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStreamWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.logging.Logger;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.json.JSONArray;
import org.json.JSONObject;
import org.json.JSONTokener;

@WebServlet(name = "CloudDatastoreExport", value = "/cloud-datastore-export")
public class CloudDatastoreExport extends HttpServlet {

  private static final Logger log = Logger.getLogger(CloudDatastoreExport.class.getName());

  @Override
  public void doGet(HttpServletRequest request, HttpServletResponse response) throws IOException {

    // Verify outputURL parameter
    String outputUrlPrefix = request.getParameter("output_url_prefix");

    if (outputUrlPrefix == null || !outputUrlPrefix.matches("^gs://.*")) {
      response.setStatus(HttpServletResponse.SC_CONFLICT);
      response.setContentType("text/plain");
      response.getWriter().println("Error: Must provide a valid output_url_prefix.");

    } else {

      // Get project ID
      String projectId = ApiProxy.getCurrentEnvironment().getAppId();
      // Remove partition information to get plain app ID
      String appId = projectId.replaceFirst("(.*~)", "");

      // Get access token
      ArrayList<String> scopes = new ArrayList<String>();
      scopes.add("https://www.googleapis.com/auth/datastore");
      final AppIdentityService appIdentity = AppIdentityServiceFactory.getAppIdentityService();
      final AppIdentityService.GetAccessTokenResult accessToken =
          appIdentity.getAccessToken(scopes);

      // Read export parameters
      // If output prefix does not end with slash, add a timestamp
      if (!outputUrlPrefix.substring(outputUrlPrefix.length() - 1).contentEquals("/")) {
        String timeStamp = new SimpleDateFormat("yyyyMMddHHmmss").format(new Date());
        outputUrlPrefix = outputUrlPrefix + "/" + timeStamp + "/";
      }

      String[] namespaces = request.getParameterValues("namespace_id");
      String[] kinds = request.getParameterValues("kind");

      // Build export request
      JSONObject exportRequest = new JSONObject();
      exportRequest.put("output_url_prefix", outputUrlPrefix);

      JSONObject entityFilter = new JSONObject();

      if (kinds != null) {
        JSONArray kindsJSON = new JSONArray(kinds);
        entityFilter.put("kinds", kinds);
      }

      if (namespaces != null) {
        JSONArray namespacesJSON = new JSONArray(namespaces);
        entityFilter.put("namespaceIds", namespacesJSON);
      }

      exportRequest.put("entityFilter", entityFilter);

      URL url = new URL("https://datastore.googleapis.com/v1/projects/" + appId + ":export");
      HttpURLConnection connection = (HttpURLConnection) url.openConnection();
      connection.setDoOutput(true);
      connection.setRequestMethod("POST");
      connection.addRequestProperty("Content-Type", "application/json");
      connection.addRequestProperty("Authorization", "Bearer " + accessToken.getAccessToken());

      OutputStreamWriter writer = new OutputStreamWriter(connection.getOutputStream());
      exportRequest.write(writer);
      writer.close();

      if (connection.getResponseCode() == HttpURLConnection.HTTP_OK) {

        JSONTokener exportResponseTokens = new JSONTokener(connection.getInputStream());
        JSONObject exportResponse = new JSONObject(exportResponseTokens);

        response.setContentType("text/plain");
        response.getWriter().println("Export started:\n" + exportResponse.toString(4));

      } else {
        InputStream s = connection.getErrorStream();
        InputStreamReader r = new InputStreamReader(s, StandardCharsets.UTF_8);
        String errorMessage =
            String.format(
                "got error (%d) response %s from %s",
                connection.getResponseCode(), CharStreams.toString(r), connection.toString());
        log.warning(errorMessage);
        response.setStatus(HttpServletResponse.SC_INTERNAL_SERVER_ERROR);
        response.setContentType("text/plain");
        response.getWriter().println("Failed to initiate export.");
      }
    }
  }
}

You can use the same cron.yaml from the docs:

cron:
- description: "Daily Cloud Datastore Export"
  url: /cloud-datastore-export?namespace_id=&output_url_prefix=gs://BUCKET_NAME[/NAMESPACE_PATH]
  target: cloud-datastore-admin
  schedule: every 24 hours

Use gcloud to deploy the cron job:

gcloud app deploy cron.yaml

Make sure you complete this part to give GAE export and bucket permissions or else you'll get permission denied errors:

https://cloud.google.com/datastore/docs/schedule-export#before_you_begin

Answer 2

The code snippet you showed is just a part of the typical GAE app skeleton specific for 1st generation standard environment python apps. You can easily recognize it in the main.py section of the python quickstart Hello World code review .

The code initializes the app variable (from the main python module, ie the main.py file) which is referenced in the app.yaml handler config as script: main.app .

The corresponding java app skeleton is significantly different, see the java quickstart Hello World code review . But no worries, you shouldn't need to specifically transform that code snippet, you just need to build your java app skeleton and focus on what the app handler actually does - making those POST requests to the datastore. Sorry I can't help more, but I'm not a java user.

Answer 3

我真正意识到的是app.yaml就像Java中的Web.xml一样，而cloud-datastore-export是一个与gae通信以导出数据的servlet，但是我不能做更多的事情