Sie werden später mehr darüber lernen, wie man zusätzliche Information unterbringt, wenn Sie lernen, Beispiele zu deklarieren.

/// warning | Achtung

Directory for ReplaceSchema task

replace-schema-*.sql:
DDL statements for creation of your schema.
You should write your own DDL statements in this file.
(A SQL separator is semicolon ";")

take-finally-*.sql:
SQL statements for check loaded data (or DDL after data loading)
You should write your own SQL statements in this file.
(basically same specifications as replace-schema.sql)

The "data" directory is for data loading like this:

    #   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:...
    #    ; schema = EXAMPLEDB
    #    ; user = exampuser
    #    ; password = exampword

Directory for DBFlute client

manage.bat(sh) => 21 (jdbc):
A execution command of JDBC task
which gets your schema info and saves it to SchemaXML
located to the "schema" directory.
This task should be executed after ReplaceSchema task
and before other tasks(e.g. Generate, Document task).

manage.bat(sh) => 22 (doc):
A execution command of Document task
which creates documents, for example, SchemaHTML, HistoryHTML
to the "output/doc" directory.

	}}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			user, _ := schema.Parse(&tests.User{}, &sync.Map{}, db.NamingStrategy)
			stmt := &gorm.Statement{DB: db, Table: user.Table, Schema: user, Clauses: map[string]clause.Clause{}}
			clause.Expr{SQL: result.SQL, Vars: result.Vars}.Build(stmt)
			if stmt.SQL.String() != result.Result {

		}
		tx = tx.callbacks.Create().Execute(tx.Set("gorm:update_track_time", true))
	case reflect.Struct:
		if err := tx.Statement.Parse(value); err == nil && tx.Statement.Schema != nil {
			for _, pf := range tx.Statement.Schema.PrimaryFields {
				if _, isZero := pf.ValueOf(tx.Statement.Context, reflectValue); isZero {
					return tx.callbacks.Create().Execute(tx)
				}
			}
		}

		fallthrough
	default:

Type\":\"date_histogram\"},\"y\":[{\"accessor\":1,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"count\"}]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{\"customLabel\":\"Query Count\"}},{\"id\":\"2\",\"enabled\":true,\"type\":\"date_histogram\",\"schema\":\"segment\",\"params\":{\"field\":\"requestedAt\",\"timeRange\":{\"from\":\"now-2d\",\"to\":\"now\"},\"useNormalizedEsInterval\":true,\"interval\":\"s\",\"drop_partials\":false,\"mi...

```

In case of a S3 multi-part operation each part is en/decrypted with the scheme shown in Figure 1. However, for each part a unique secret key is derived from the OEK and the part number using a PRF. So in case of multi-part not the OEK but the output of `PRF(OEK, part_id)` is used as secret key.

#### Cryptographic Primitives

	keys := make([]string, 0, len(mapValue))
	for k := range mapValue {
		keys = append(keys, k)
	}
	sort.Strings(keys)

	for _, k := range keys {
		value := mapValue[k]
		if stmt.Schema != nil {
			if field := stmt.Schema.LookUpField(k); field != nil {
				k = field.DBName
			}
		}

		if v, ok := selectColumns[k]; (ok && v) || (!ok && !restricted) {
			values.Columns = append(values.Columns, clause.Column{Name: k})

Das Frontend (das im Browser läuft) würde also versuchen, `/openapi.json` zu erreichen und wäre nicht in der Lage, das OpenAPI-Schema abzurufen.

Da wir für unsere Anwendung einen Proxy mit dem Pfadpräfix `/api/v1` haben, muss das Frontend das OpenAPI-Schema unter `/api/v1/openapi.json` abrufen.

```mermaid
graph LR