使用 TCP 和 UNIX 域套接字 2020 从 GOOGLE 云功能连接到云 SQL
1.新建项目
gcloud projects create gcf-to-sql
gcloud config set project gcf-to-sql
gcloud projects describe gcf-to-sql
2.为您的项目启用计费：https://cloud.google.com/billing/docs/how-to/modify-project
3.设置计算项目信息元数据：
gcloud compute project-info describe --project gcf-to-sql
#Enable the Api, and you can check that default-region,google-compute-default-zone are not set. Set the metadata.
gcloud compute project-info add-metadata --metadata google-compute-default-region=europe-west2,google-compute-default-zone=europe-west2-b
4.启用服务网络API：
gcloud services list --available
gcloud services enable servicenetworking.googleapis.com
5.创建2个云sql实例，（一个带有内部ip，一个带有公共ip）-https://cloud.google.com/sql/docs/mysql/create-instance：
6.具有外部ip的Cloud Sql实例：
#Create the sql instance in the
gcloud --project=con-ae-to-sql beta sql instances create database-external --region=europe-west2
#Set the password for the "root@%" MySQL user:
gcloud sql users set-password root --host=% --instance database-external --password root
#Create a user
gcloud sql users create user_name --host=% --instance=database-external --password=user_password
#Create a database
gcloud sql databases create user_database --instance=database-external
gcloud sql databases list --instance=database-external
6.b 内部ip的云Sql实例：
i.#Create a private connection to Google so that the VM instances in the default VPC network can use private services access to reach Google services that support it.
gcloud compute addresses create google-managed-services-my-network --global --purpose=VPC_PEERING --prefix-length=16 --description="peering range for Google" --network=default --project=con-ae-to-sql
gcloud services vpc-peerings connect --service=servicenetworking.googleapis.com --ranges=google-managed-services-my-network --network=default --project=con-ae-to-sql
#Check whether the operation was successful.
gcloud services vpc-peerings operations describe --name=operations/pssn.dacc3510-ebc6-40bd-a07b-8c79c1f4fa9a
#Listing private connections
gcloud services vpc-peerings list --network=default --project=con-ae-to-sql
ii.Create the instance:
gcloud --project=con-ae-to-sql beta sql instances create database-ipinternal --network=default --no-assign-ip --region=europe-west2
#Set the password for the "root@%" MySQL user:
gcloud sql users set-password root --host=% --instance database-ipinternal --password root
#Create a user
gcloud sql users create user_name --host=% --instance=database-ipinternal --password=user_password
#Create a database
gcloud sql databases create user_database --instance=database-ipinternal
gcloud sql databases list --instance=database-ipinternal
gcloud sql instances list
gcloud sql instances describe database-external
gcloud sql instances describe database-ipinternal
#Remember the instances connectionName
好的，所以我们有两个 mysql 实例，我们将使用 Serverless Access 和 TCP 从 Google Cloud Functions 连接到 database-ipinternal，并使用 unix domain socket 从 Google Cloud Functions 连接到 database-external。
7.启用 Cloud SQL Admin API
gcloud services list --available
gcloud services enable sqladmin.googleapis.com
注意：默认情况下，Cloud Functions 不支持使用 TCP 连接到 Cloud SQL 实例。除非您已配置无服务器 VPC 访问，否则您的代码不应尝试使用 IP 地址（例如 127.0.0.1 或 172.17.0.1）访问实例。
8.a 确保为您的项目启用无服务器 VPC 访问 API：
gcloud services enable vpcaccess.googleapis.com
8.b 创建连接器：
gcloud compute networks vpc-access connectors create serverless-connector --network default --region europe-west2 --range 10.10.0.0/28
#Verify that your connector is in the READY state before using it
gcloud compute networks vpc-access connectors describe serverless-connector --region europe-west2
9.为您的云功能创建一个服务帐户。确保您的服务的服务帐户具有以下 IAM 角色：Cloud SQL 客户端，并且为了在内部 IP 上从 App Engine Standard 连接到 Cloud Sql，我们还需要角色 Compute Network User。
gcloud iam service-accounts create cloud-function-to-sql
gcloud projects add-iam-policy-binding gcf-to-sql --member serviceAccount:cloud-function-to-sql@gcf-to-sql.iam.gserviceaccount.com --role roles/cloudsql.client
gcloud projects add-iam-policy-binding gcf-to-sql --member serviceAccount:cloud-function-to-sql@gcf-to-sql.iam.gserviceaccount.com --role roles/compute.networkUser
现在我配置了设置
1.使用 Tcp 和 unix 域套接字从 Google Cloud Functions 连接到 Cloud Sql
cd app-engine-standard/
ls
#main.py requirements.txt
cat requirements.txt
sqlalchemy
pymysql
cat main.py
import pymysql
from sqlalchemy import create_engine
def gcf_to_sql(request):
engine_tcp = create_engine('mysql+pymysql://user_name:user_password@10.36.0.3:3306')
existing_databases_tcp = engine_tcp.execute("SHOW DATABASES;")
con_tcp = "Connecting from Google Cloud Functions to Cloud SQL using TCP: databases => " + str([d[0] for d in existing_databases_tcp]).strip('[]') + "\n"
engine_unix_socket = create_engine('mysql+pymysql://user_name:user_password@/user_database?unix_socket=/cloudsql/gcf-to-sql:europe-west2:database-external')
existing_databases_unix_socket = engine_unix_socket.execute("SHOW DATABASES;")
con_unix_socket = "Connecting from Google Cloud Function to Cloud SQL using Unix Sockets: tables in sys database: => " + str([d[0] for d in existing_databases_unix_socket]).strip('[]') + "\n"
return con_tcp + con_unix_socket
2.部署云功能：
gcloud beta functions deploy gcf_to_sql --runtime python37 --region europe-west2 --vpc-connector projects/gcf-to-sql/locations/europe-west2/connectors/serverless-connector --trigger-http
3.进入Cloud Function，选择gcf-to-sql，Testing，TEST THE FUNCTION：
#Connecting from Google Cloud Functions to Cloud SQL using TCP: databases => 'information_schema', 'mysql', 'performance_schema', 'sys', 'user_database'
#Connecting from Google Cloud Function to Cloud SQL using Unix Sockets: tables in sys database: => 'information_schema', 'mysql', 'performance_schema', 'sys', 'user_database'
成功！