So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.

And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

///

    #  Elements of this map are as below:
    #   o url: The URL for connecting database. (NotRequired - Default same as databaseInfoMap)
    #   o schema: The schema name. (NotRequired - Default '' e.g. no setting when MySQL)
    #   o user: The database user name. (Required)
    #   o password: The database password. (NotRequired - Default '')
    #
    #; schemaSyncCheckMap = map:{
    #    ; url = jdbc:...

    }

    @Test
    public void testBufferCreation() throws UnsupportedEncodingException {
        byte[] dataBytes = { 1, 2, 3, 4 };
        String params = "test";
        byte[] buffer = createBuffer(10, dataBytes, params);

        // Verify buffer structure
        assertTrue(buffer.length >= 14, "Buffer should contain header, params and data");
    }

    @Test

)

func TestPreparedStmt(t *testing.T) {
	tx := DB.Session(&gorm.Session{PrepareStmt: true})

	if _, ok := tx.ConnPool.(*gorm.PreparedStmtDB); !ok {
		t.Fatalf("should assign PreparedStatement Manager back to database when using PrepareStmt mode")
	}

	ctx, cancel := context.WithTimeout(context.Background(), 500*time.Millisecond)
	defer cancel()
	txCtx := tx.WithContext(ctx)

	user := *GetUser("prepared_stmt", Config{})

            then
              echo "Creating database gorm..."
              sql_file='/tmp/create_database.sql'
              echo "CREATE DATABASE gorm DBCOMPATIBILITY 'PG';" > ${sql_file}
              docker cp "${sql_file}" "${container_name}":"${sql_file}"
              docker exec -i ${TTY_FLAG} "${container_name}" bash -c "su - omm -c 'gsql -U omm -f ${sql_file}'"
              echo "Database initialization completed."
              break

package gorm

import (
	"context"
	"database/sql"
	"database/sql/driver"
	"errors"
	"reflect"
	"sync"
	"time"

	"gorm.io/gorm/internal/stmt_store"
)

type PreparedStmtDB struct {
	Stmts stmt_store.Store
	Mux   *sync.RWMutex
	ConnPool
}

// NewPreparedStmtDB creates and initializes a new instance of PreparedStmtDB.
//
// Parameters:

Being able to use asynchronous functions in your tests could be useful, for example, when you're querying your database asynchronously. Imagine you want to test sending requests to your FastAPI application and then verify that your backend successfully wrote the correct data in the database, while using an async database library.

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

// Package stmt_store provides an implementation of a statement cache for SQL statements.
package stmt_store

import (
	"context"
	"database/sql"
	"math"
	"sync"
	"time"

	"gorm.io/gorm/internal/lru"
)

type Stmt struct {
	*sql.Stmt
	Transaction bool
	prepared    chan struct{}
	prepareErr  error
}

func (stmt *Stmt) Error() error {
	return stmt.prepareErr
}

func (stmt *Stmt) Close() error {

map:{
    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o database: (Required)
    #  This is the target database, only considered when generating
    #  the SQL for your DBFlute project.
    #  Your possible choices are:
    #
    #    mysql, postgresql, oracle, db2, sqlserver,
    #    h2, derby, (sqlite, firebird, msaccess)
    #
    ; database = h2
    # - - - - - - - - - -/

pkg crypto/x509, type OID struct #60665
pkg database/sql, method (*Null[$0]) Scan(interface{}) error #60370
pkg database/sql, method (Null[$0]) Value() (driver.Value, error) #60370
pkg database/sql, type Null[$0 interface{}] struct #60370
pkg database/sql, type Null[$0 interface{}] struct, V $0 #60370
pkg database/sql, type Null[$0 interface{}] struct, Valid bool #60370