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import os

import sqlalchemy


def connect_unix_socket() -> sqlalchemy.engine.base.Engine:
    """Initializes a Unix socket connection pool for a Cloud SQL instance of Postgres."""
    # Note: Saving credentials in environment variables is convenient, but not
    # secure - consider a more secure solution such as
    # Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
    # keep secrets safe.
    db_user = os.environ["DB_USER"]  # e.g. 'my-database-user'
    db_pass = os.environ["DB_PASS"]  # e.g. 'my-database-password'
    db_name = os.environ["DB_NAME"]  # e.g. 'my-database'
    unix_socket_path = os.environ[
        "INSTANCE_UNIX_SOCKET"
    ]  # e.g. '/cloudsql/project:region:instance'

    pool = sqlalchemy.create_engine(
        # Equivalent URL:
        # postgresql+pg8000://<db_user>:<db_pass>@/<db_name>
        #                         ?unix_sock=<INSTANCE_UNIX_SOCKET>/.s.PGSQL.5432
        # Note: Some drivers require the `unix_sock` query parameter to use a different key.
        # For example, 'psycopg2' uses the path set to `host` in order to connect successfully.
        sqlalchemy.engine.url.URL.create(
            drivername="postgresql+pg8000",
            username=db_user,
            password=db_pass,
            database=db_name,
            query={"unix_sock": f"{unix_socket_path}/.s.PGSQL.5432"},
        ),
        # ...
    )
    return pool

import com.zaxxer.hikari.HikariConfig;
import com.zaxxer.hikari.HikariDataSource;
import javax.sql.DataSource;

public class ConnectorConnectionPoolFactory extends ConnectionPoolFactory {

  // Note: Saving credentials in environment variables is convenient, but not
  // secure - consider a more secure solution such as
  // Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
  // keep secrets safe.
  private static final String INSTANCE_CONNECTION_NAME =
      System.getenv("INSTANCE_CONNECTION_NAME");
  private static final String INSTANCE_UNIX_SOCKET = System.getenv("INSTANCE_UNIX_SOCKET");
  private static final String DB_USER = System.getenv("DB_USER");
  private static final String DB_PASS = System.getenv("DB_PASS");
  private static final String DB_NAME = System.getenv("DB_NAME");

  public static DataSource createConnectionPool() {
    // The configuration object specifies behaviors for the connection pool.
    HikariConfig config = new HikariConfig();

    // The following URL is equivalent to setting the config options below:
    // jdbc:postgresql:///<DB_NAME>?cloudSqlInstance=<INSTANCE_CONNECTION_NAME>&
    // socketFactory=com.google.cloud.sql.postgres.SocketFactory&user=<DB_USER>&password=<DB_PASS>
    // See the link below for more info on building a JDBC URL for the Cloud SQL JDBC Socket Factory
    // https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory#creating-the-jdbc-url

    // Configure which instance and what database user to connect with.
    config.setJdbcUrl(String.format("jdbc:postgresql:///%s", DB_NAME));
    config.setUsername(DB_USER); // e.g. "root", _postgres"
    config.setPassword(DB_PASS); // e.g. "my-password"

    config.addDataSourceProperty("socketFactory", "com.google.cloud.sql.postgres.SocketFactory");
    config.addDataSourceProperty("cloudSqlInstance", INSTANCE_CONNECTION_NAME);

    // Unix sockets are not natively supported in Java, so it is necessary to use the Cloud SQL
    // Java Connector to connect. When setting INSTANCE_UNIX_SOCKET, the connector will 
    // call an external package that will enable Unix socket connections.
    // Note: For Java users, the Cloud SQL Java Connector can provide authenticated connections
    // which is usually preferable to using the Cloud SQL Proxy with Unix sockets.
    // See https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory for details.
    if (INSTANCE_UNIX_SOCKET != null) {
      config.addDataSourceProperty("unixSocketPath", INSTANCE_UNIX_SOCKET);
    }


    // cloudSqlRefreshStrategy set to "lazy" is used to perform a
    // refresh when needed, rather than on a scheduled interval.
    // This is recommended for serverless environments to
    // avoid background refreshes from throttling CPU.
    config.addDataSourceProperty("cloudSqlRefreshStrategy", "lazy");

    // ... Specify additional connection properties here.
    // ...

    // Initialize the connection pool using the configuration object.
    return new HikariDataSource(config);
  }
}

const Knex = require('knex');

// createUnixSocketPool initializes a Unix socket connection pool for
// a Cloud SQL instance of Postgres.
const createUnixSocketPool = async config => {
  // Note: Saving credentials in environment variables is convenient, but not
  // secure - consider a more secure solution such as
  // Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
  // keep secrets safe.
  return Knex({
    client: 'pg',
    connection: {
      user: process.env.DB_USER, // e.g. 'my-user'
      password: process.env.DB_PASS, // e.g. 'my-user-password'
      database: process.env.DB_NAME, // e.g. 'my-database'
      host: process.env.INSTANCE_UNIX_SOCKET, // e.g. '/cloudsql/project:region:instance'
    },
    // ... Specify additional properties here.
    ...config,
  });
};

package cloudsql

import (
	"database/sql"
	"fmt"
	"log"
	"os"

	// Note: If connecting using the App Engine Flex Go runtime, use
	// "github.com/jackc/pgx/stdlib" instead, since v5 requires
	// Go modules which are not supported by App Engine Flex.
	_ "github.com/jackc/pgx/v5/stdlib"
)

// connectUnixSocket initializes a Unix socket connection pool for
// a Cloud SQL instance of Postgres.
func connectUnixSocket() (*sql.DB, error) {
	mustGetenv := func(k string) string {
		v := os.Getenv(k)
		if v == "" {
			log.Fatalf("Fatal Error in connect_unix.go: %s environment variable not set.\n", k)
		}
		return v
	}
	// Note: Saving credentials in environment variables is convenient, but not
	// secure - consider a more secure solution such as
	// Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
	// keep secrets safe.
	var (
		dbUser         = mustGetenv("DB_USER")              // e.g. 'my-db-user'
		dbPwd          = mustGetenv("DB_PASS")              // e.g. 'my-db-password'
		unixSocketPath = mustGetenv("INSTANCE_UNIX_SOCKET") // e.g. '/cloudsql/project:region:instance'
		dbName         = mustGetenv("DB_NAME")              // e.g. 'my-database'
	)

	dbURI := fmt.Sprintf("user=%s password=%s database=%s host=%s",
		dbUser, dbPwd, dbName, unixSocketPath)

	// dbPool is the pool of database connections.
	dbPool, err := sql.Open("pgx", dbURI)
	if err != nil {
		return nil, fmt.Errorf("sql.Open: %w", err)
	}

	// ...

	return dbPool, nil
}

namespace Google\Cloud\Samples\CloudSQL\Postgres;

use PDO;
use PDOException;
use RuntimeException;
use TypeError;

class DatabaseUnix
{
    public static function initUnixDatabaseConnection(): PDO
    {
        try {
            // Note: Saving credentials in environment variables is convenient, but not
            // secure - consider a more secure solution such as
            // Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
            // keep secrets safe.
            $username = getenv('DB_USER'); // e.g. 'your_db_user'
            $password = getenv('DB_PASS'); // e.g. 'your_db_password'
            $dbName = getenv('DB_NAME'); // e.g. 'your_db_name'
            $instanceUnixSocket = getenv('INSTANCE_UNIX_SOCKET'); // e.g. '/cloudsql/project:region:instance'

            // Connect using UNIX sockets
            $dsn = sprintf(
                'pgsql:dbname=%s;host=%s',
                $dbName,
                $instanceUnixSocket
            );

            // Connect to the database.
            $conn = new PDO(
                $dsn,
                $username,
                $password,
                # ...
            );
        } catch (TypeError $e) {
            throw new RuntimeException(
                sprintf(
                    'Invalid or missing configuration! Make sure you have set ' .
                        '$username, $password, $dbName, ' .
                        'and $instanceUnixSocket (for UNIX socket mode). ' .
                        'The PHP error was %s',
                    $e->getMessage()
                ),
                (int) $e->getCode(),
                $e
            );
        } catch (PDOException $e) {
            throw new RuntimeException(
                sprintf(
                    'Could not connect to the Cloud SQL Database. Check that ' .
                        'your username and password are correct, that the Cloud SQL ' .
                        'proxy is running, and that the database exists and is ready ' .
                        'for use. For more assistance, refer to %s. The PDO error was %s',
                    'https://cloud.google.com/sql/docs/postgres/connect-external-app',
                    $e->getMessage()
                ),
                (int) $e->getCode(),
                $e
            );
        }

        return $conn;
    }
}

import os

from google.cloud.sql.connector import Connector, IPTypes
import pg8000

import sqlalchemy


def connect_with_connector() -> sqlalchemy.engine.base.Engine:
    """
    Initializes a connection pool for a Cloud SQL instance of Postgres.

    Uses the Cloud SQL Python Connector package.
    """
    # Note: Saving credentials in environment variables is convenient, but not
    # secure - consider a more secure solution such as
    # Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
    # keep secrets safe.

    instance_connection_name = os.environ[
        "INSTANCE_CONNECTION_NAME"
    ]  # e.g. 'project:region:instance'
    db_user = os.environ["DB_USER"]  # e.g. 'my-db-user'
    db_pass = os.environ["DB_PASS"]  # e.g. 'my-db-password'
    db_name = os.environ["DB_NAME"]  # e.g. 'my-database'

    ip_type = IPTypes.PRIVATE if os.environ.get("PRIVATE_IP") else IPTypes.PUBLIC

    # initialize Cloud SQL Python Connector object
    connector = Connector(refresh_strategy="LAZY")

    def getconn() -> pg8000.dbapi.Connection:
        conn: pg8000.dbapi.Connection = connector.connect(
            instance_connection_name,
            "pg8000",
            user=db_user,
            password=db_pass,
            db=db_name,
            ip_type=ip_type,
        )
        return conn

    # The Cloud SQL Python Connector can be used with SQLAlchemy
    # using the 'creator' argument to 'create_engine'
    pool = sqlalchemy.create_engine(
        "postgresql+pg8000://",
        creator=getconn,
        # ...
    )
    return pool

import com.zaxxer.hikari.HikariConfig;
import com.zaxxer.hikari.HikariDataSource;
import javax.sql.DataSource;

public class ConnectorConnectionPoolFactory extends ConnectionPoolFactory {

  // Note: Saving credentials in environment variables is convenient, but not
  // secure - consider a more secure solution such as
  // Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
  // keep secrets safe.
  private static final String INSTANCE_CONNECTION_NAME =
      System.getenv("INSTANCE_CONNECTION_NAME");
  private static final String INSTANCE_UNIX_SOCKET = System.getenv("INSTANCE_UNIX_SOCKET");
  private static final String DB_USER = System.getenv("DB_USER");
  private static final String DB_PASS = System.getenv("DB_PASS");
  private static final String DB_NAME = System.getenv("DB_NAME");

  public static DataSource createConnectionPool() {
    // The configuration object specifies behaviors for the connection pool.
    HikariConfig config = new HikariConfig();

    // The following URL is equivalent to setting the config options below:
    // jdbc:postgresql:///<DB_NAME>?cloudSqlInstance=<INSTANCE_CONNECTION_NAME>&
    // socketFactory=com.google.cloud.sql.postgres.SocketFactory&user=<DB_USER>&password=<DB_PASS>
    // See the link below for more info on building a JDBC URL for the Cloud SQL JDBC Socket Factory
    // https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory#creating-the-jdbc-url

    // Configure which instance and what database user to connect with.
    config.setJdbcUrl(String.format("jdbc:postgresql:///%s", DB_NAME));
    config.setUsername(DB_USER); // e.g. "root", _postgres"
    config.setPassword(DB_PASS); // e.g. "my-password"

    config.addDataSourceProperty("socketFactory", "com.google.cloud.sql.postgres.SocketFactory");
    config.addDataSourceProperty("cloudSqlInstance", INSTANCE_CONNECTION_NAME);


    // The ipTypes argument can be used to specify a comma delimited list of preferred IP types
    // for connecting to a Cloud SQL instance. The argument ipTypes=PRIVATE will force the
    // SocketFactory to connect with an instance's associated private IP.
    config.addDataSourceProperty("ipTypes", "PUBLIC,PRIVATE");

    // cloudSqlRefreshStrategy set to "lazy" is used to perform a
    // refresh when needed, rather than on a scheduled interval.
    // This is recommended for serverless environments to
    // avoid background refreshes from throttling CPU.
    config.addDataSourceProperty("cloudSqlRefreshStrategy", "lazy");

    // ... Specify additional connection properties here.
    // ...

    // Initialize the connection pool using the configuration object.
    return new HikariDataSource(config);
  }
}

package cloudsql

import (
	"context"
	"database/sql"
	"fmt"
	"log"
	"net"
	"os"

	"cloud.google.com/go/cloudsqlconn"
	"github.com/jackc/pgx/v5"
	"github.com/jackc/pgx/v5/stdlib"
)

func connectWithConnector() (*sql.DB, error) {
	mustGetenv := func(k string) string {
		v := os.Getenv(k)
		if v == "" {
			log.Fatalf("Fatal Error in connect_connector.go: %s environment variable not set.\n", k)
		}
		return v
	}
	// Note: Saving credentials in environment variables is convenient, but not
	// secure - consider a more secure solution such as
	// Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
	// keep passwords and other secrets safe.
	var (
		dbUser                 = mustGetenv("DB_USER")                  // e.g. 'my-db-user'
		dbPwd                  = mustGetenv("DB_PASS")                  // e.g. 'my-db-password'
		dbName                 = mustGetenv("DB_NAME")                  // e.g. 'my-database'
		instanceConnectionName = mustGetenv("INSTANCE_CONNECTION_NAME") // e.g. 'project:region:instance'
		usePrivate             = os.Getenv("PRIVATE_IP")
	)

	dsn := fmt.Sprintf("user=%s password=%s database=%s", dbUser, dbPwd, dbName)
	config, err := pgx.ParseConfig(dsn)
	if err != nil {
		return nil, err
	}
	var opts []cloudsqlconn.Option
	if usePrivate != "" {
		opts = append(opts, cloudsqlconn.WithDefaultDialOptions(cloudsqlconn.WithPrivateIP()))
	}
	// WithLazyRefresh() Option is used to perform refresh
	// when needed, rather than on a scheduled interval.
	// This is recommended for serverless environments to
	// avoid background refreshes from throttling CPU.
	opts = append(opts, cloudsqlconn.WithLazyRefresh())
	d, err := cloudsqlconn.NewDialer(context.Background(), opts...)
	if err != nil {
		return nil, err
	}
	// Use the Cloud SQL connector to handle connecting to the instance.
	// This approach does *NOT* require the Cloud SQL proxy.
	config.DialFunc = func(ctx context.Context, network, instance string) (net.Conn, error) {
		return d.Dial(ctx, instanceConnectionName)
	}
	dbURI := stdlib.RegisterConnConfig(config)
	dbPool, err := sql.Open("pgx", dbURI)
	if err != nil {
		return nil, fmt.Errorf("sql.Open: %w", err)
	}
	return dbPool, nil
}