for name, relations := range actual {
		rs := expected[name]
		t.Run("CheckEmbeddedRelations/"+name, func(t *testing.T) {
			if len(relations.Relations) != len(rs.Relations) {
				t.Errorf("schema relations count don't match, expects %d, got %d", len(rs.Relations), len(relations.Relations))
			}
			if len(relations.EmbeddedRelations) != len(rs.EmbeddedRelations) {

	// ErrMissingWhereClause missing where clause
	ErrMissingWhereClause = errors.New("WHERE conditions required")
	// ErrUnsupportedRelation unsupported relations
	ErrUnsupportedRelation = errors.New("unsupported relations")
	// ErrPrimaryKeyRequired primary keys required
	ErrPrimaryKeyRequired = errors.New("primary key required")
	// ErrModelValueRequired model value required

		if !restricted {
			return
		}

		for column, v := range selectColumns {
			if !v {
				continue
			}

			rel, ok := db.Statement.Schema.Relationships.Relations[column]
			if !ok {
				continue
			}

			switch rel.Type {
			case schema.HasOne, schema.HasMany:
				queryConds := rel.ToQueryConditions(db.Statement.Context, db.Statement.ReflectValue)

De plus, la meilleure approche était d'utiliser des normes déjà existantes.

Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.

## Conception

Ensuite, j'ai passé du temps à concevoir l'"API" de développeur que je voulais avoir en tant qu'utilisateur (en tant que développeur utilisant FastAPI).

#
# The relation between column and classification.
#
# This property uses classification names of classificationDefinitionMap.
# The table name '$$ALL$$' means all tables are target.
# The table names and column names are treated as case insensitive.
#
# You don't need specify here about table classifications.
# Because table classifications are auto-deployed by relation information.
#
# Specification:
# map: {

 */
package org.codelibs.fess.rank.fusion;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.fess.util.FacetResponse;

public class SearchResult {

    protected final List<Map<String, Object>> documentList;
    protected final long allRecordCount;

# /---------------------------------------------------------------------------
# sequenceMap: (NotRequired - Default map:{})
# 
# The relation mappings between sequence and table.
# If you don't specify the mappings, you cannot insert a record of the table by sequence. 
# The table names are treated as case insensitive.
# 
# Example:
# map:{
#     ; PURCHASE     = SEQ_PURCHASE
#     ; MEMBER       = SEQ_MEMBER
#     ; MEMBER_LOGIN = SEQ_MEMBER_LOGIN

`linux-amd64` architecture as binary files with the suffix `.fips`. We also publish corresponding container images to our official image repositories.

We are not making any statements or representations about the suitability of this code or build in relation to the FIPS 140-2 standard. Interested users will have to evaluate for themselves whether this is useful for their own purposes....

# additionalForeignKeyMap: (NotRequired - Default map:{})
#
# If foreign key does not exist in your database,
# you can set up here as virtual foreign key for DBFlute.
#
# And it's one-to-one relation if you add one fixed condition to referrer table, 
# you can set virtual foreign key with fixedCondition and fixedSuffix.
# And you can use it to view objects too.
#
# If local column name is same as foreign column name,

    #}
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o relationalNullObjectMap: (NotRequired - Default map:{})
    #  You can get a null object when the relation is null.
    #
    #; relationalNullObjectMap = map:{
    #    ; providerPackage = $$packageBase$$.nogen.cache
    #    ; foreignMap = map:{