"PostalAddress": {
			Relations: map[string]Relation{
				"Country": {
					Name: "Country", Type: schema.BelongsTo, Schema: "Org", FieldSchema: "Country",
					References: []Reference{
						{PrimaryKey: "ID", PrimarySchema: "Country", ForeignKey: "CountryID", ForeignSchema: "Org"},
					},
				},
			},
		},
		"VisitingAddress": {
			Relations: map[string]Relation{
				"Country": {

}

func (schema *Schema) setRelation(relation *Relationship) {
	// set non-embedded relation
	if rel := schema.Relationships.Relations[relation.Name]; rel != nil {
		if len(rel.Field.BindNames) > 1 {
			schema.Relationships.Relations[relation.Name] = relation
		}
	} else {
		schema.Relationships.Relations[relation.Name] = relation
	}

	// set embedded relation
	if len(relation.Field.EmbeddedBindNames) <= 1 {
		return

func checkSchemaRelation(t *testing.T, s *schema.Schema, relation Relation) {
	t.Run("CheckRelation/"+relation.Name, func(t *testing.T) {
		if r, ok := s.Relationships.Relations[relation.Name]; ok {
			if r.Name != relation.Name {
				t.Errorf("schema %v relation name expects %v, but got %v", s, r.Name, relation.Name)
			}

			if r.Type != relation.Type {
				t.Errorf("schema %v relation name expects %v, but got %v", s, r.Type, relation.Type)

#
# 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: {

			for _, join := range db.Statement.Joins {
				if db.Statement.Schema != nil {
					var isRelations bool // is relations or raw sql
					var relations []*schema.Relationship
					relation, ok := db.Statement.Schema.Relationships.Relations[join.Name]
					if ok {
						isRelations = true
						relations = append(relations, relation)
					} else {
						// handle nested join like "Manager.Company"

	err = stmt.Parse(joinTable)
	if err != nil {
		return err
	}
	joinSchema = stmt.Schema

	relation, ok := modelSchema.Relationships.Relations[field]
	isRelation := ok && relation.JoinTable != nil
	if !isRelation {
		return fmt.Errorf("failed to find relation: %s", field)
	}

	for _, ref := range relation.References {
		f := joinSchema.LookUpField(ref.ForeignKey.DBName)
		if f == nil {

	}
	names := make([]string, 0, len(embeddedRelations.Relations)+len(embeddedRelations.EmbeddedRelations))
	for _, relation := range embeddedRelations.Relations {
		// skip first struct name
		names = append(names, strings.Join(relation.Field.EmbeddedBindNames[1:], "."))
	}
	for _, relations := range embeddedRelations.EmbeddedRelations {
		names = append(names, embeddedValues(relations)...)
	}
	return names
}

# 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,

 */
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;

`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....