Directory for library extension

If you use a database that DBFlute does not have its JDBC driver,
put your own JDBC driver for the database here.

    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) for the Python SQL database interactions (ORM).
    - 🔍 [Pydantic](https://docs.pydantic.dev), used by FastAPI, for the data validation and settings management.
    - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database.
- 🚀 [React](https://react.dev) for the frontend.

 * Provides functionality to create, read, update, and delete job log entries,
 * as well as manage job status and perform cleanup operations.
 */
public class JobLogService {

    /**
     * Behavior class for job log database operations.
     */
    @Resource
    protected JobLogBhv jobLogBhv;

    /**
     * Default constructor.
     */
    public JobLogService() {
        // Default constructor
    }

    /**

 */
public class GroupService {

    /** Behavior class for group database operations */
    @Resource
    protected GroupBhv groupBhv;

    /** Configuration settings for the Fess application */
    @Resource
    protected FessConfig fessConfig;

    /** Behavior class for user database operations */
    @Resource
    protected UserBhv userBhv;

    /**

pkg crypto/x509, type RevocationList struct, ThisUpdate time.Time
pkg database/sql, method (*DB) SetConnMaxIdleTime(time.Duration)
pkg database/sql, method (*Row) Err() error
pkg database/sql, type DBStats struct, MaxIdleTimeClosed int64
pkg database/sql/driver, type Validator interface { IsValid }
pkg database/sql/driver, type Validator interface, IsValid() bool

use internally only data that doesn't depend on the resources of dependencies with `yield`.

For example, instead of using the same database session, you would create a new database session inside of the background task, and you would obtain the objects from the database using this new session. And then instead of passing the object from the database as a parameter to the background task function, you would pass the ID of that object and then obtain the object again inside the background...

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.

 *
 */
public class UserService {

    /**
     * Default constructor for UserService.
     */
    public UserService() {
        // Default constructor
    }

    /** User behavior for database operations */
    @Resource
    protected UserBhv userBhv;

    /** Login assistance for authentication operations */
    @Resource
    protected FessLoginAssist fessLoginAssist;

package migrator

import (
	"database/sql"
	"reflect"
)

// ColumnType column type implements ColumnType interface
type ColumnType struct {
	SQLColumnType      *sql.ColumnType
	NameValue          sql.NullString
	DataTypeValue      sql.NullString
	ColumnTypeValue    sql.NullString
	PrimaryKeyValue    sql.NullBool
	UniqueValue        sql.NullBool
	AutoIncrementValue sql.NullBool
	LengthValue        sql.NullInt64

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 }