小编mar*_*186的帖子

我刚刚部署了一个 Cloud Run REST API 应用程序，该应用程序使用 Google Cloud Storage API 从存储桶以及该存储桶内的文件夹中获取最后一个文件。这是我正在使用的代码：

import os
import logging
from flask import Flask
from flask import request, jsonify, render_template
from google.oauth2 import service_account
from google.cloud import storage
from bson.json_util import dumps


app = Flask(__name__)

storage_client = storage.Client.from_service_account_json('sa.json')

@app.route('/')
# API Version 1.0
def index():
    """Welcome to Last File API Version 1.0."""
    button_text = "Add File"
    return render_template('main.html', button_text=button_text)

@app.route("/last_file_m_individual/", methods=["GET"])
def list_m_individual_files():
    """List all files in GCP bucket."""
    bucketName = request.args.get('bucketname')
    bucketFolder = request.args.get('bucketfolder') …

我正在使用 Cloud Run + Cloud Firestore 构建一个简单的基于 Flask 的应用程序。有一种方法带来了很多数据，日志都显示这个错误：

`Memory limit of 244M exceeded with 248M used. Consider increasing the memory limit, see https://cloud.google.com/run/docs/configuring/memory-limits`

如何增加 cloudbuild.yaml 中的内存限制？我们的 YAML 文件包含以下内容：

# cloudbuild.yaml
steps:
  # build & push the container image
- name: "gcr.io/kaniko-project/executor:latest"
  args: ["--cache=true", "--cache-ttl=48h", "--destination=gcr.io/$PROJECT_ID/todo:latest"]
  # Deploy container image to Cloud Run
- name: "gcr.io/cloud-builders/gcloud"
  args: ['beta', 'run', 'deploy', 'todo', '--image', 'gcr.io/$PROJECT_ID/todo:latest', '--region', 'us-central1', '--allow-unauthenticated', '--platform', 'managed']

谢谢