GORM 源碼解讀, 基於 v1.9.11 版本.html
上一節中, 咱們已經探究過了模型是如何定義的, 以及數據表是如何建立的. 此次, 看一下查詢是如何實現的.mysql
查詢涉及到很大的一塊內容, 由於要支持各類類型的方法. 先看一下官方文檔中提供的最簡單的幾個查詢方法.git
// 根據主鍵查詢第一條記錄
db.First(&user)
//// SELECT * FROM users ORDER BY id LIMIT 1;
// 隨機獲取一條記錄
db.Take(&user)
//// SELECT * FROM users LIMIT 1;
// 根據主鍵查詢最後一條記錄
db.Last(&user)
//// SELECT * FROM users ORDER BY id DESC LIMIT 1;
// 查詢全部的記錄
db.Find(&users)
//// SELECT * FROM users;
// 查詢指定的某條記錄(僅當主鍵爲整型時可用)
db.First(&user, 10)
//// SELECT * FROM users WHERE id = 10;
複製代碼
以 First
方法爲例, 看一下它的實現:github
// First find first record that match given conditions, order by primary key
func (s *DB) First(out interface{}, where ...interface{}) *DB {
newScope := s.NewScope(out)
newScope.Search.Limit(1)
return newScope.Set("gorm:order_by_primary_key", "ASC").
inlineCondition(where...).callCallbacks(s.parent.callbacks.queries).db
}
複製代碼
First
方法從數據庫中獲取第一條數據, 以 primary key 升序排序.sql
前面介紹過, 具體的數據庫操做實現是依靠 callbacks 的. 這裏用到了 callbacks.queries
.數據庫
在默認的 callbacks 中, 註冊了三個不一樣的 query 回調函數.express
// Define callbacks for querying
func init() {
DefaultCallback.Query().Register("gorm:query", queryCallback)
DefaultCallback.Query().Register("gorm:preload", preloadCallback)
DefaultCallback.Query().Register("gorm:after_query", afterQueryCallback)
}
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先來看一下最主要的 queryCallback
函數.app
// queryCallback used to query data from database
func queryCallback(scope *Scope) {
if _, skip := scope.InstanceGet("gorm:skip_query_callback"); skip {
return
}
//we are only preloading relations, dont touch base model
if _, skip := scope.InstanceGet("gorm:only_preload"); skip {
return
}
defer scope.trace(scope.db.nowFunc())
var (
isSlice, isPtr bool
resultType reflect.Type
results = scope.IndirectValue()
)
if orderBy, ok := scope.Get("gorm:order_by_primary_key"); ok {
if primaryField := scope.PrimaryField(); primaryField != nil {
scope.Search.Order(fmt.Sprintf("%v.%v %v", scope.QuotedTableName(), scope.Quote(primaryField.DBName), orderBy))
}
}
if value, ok := scope.Get("gorm:query_destination"); ok {
results = indirect(reflect.ValueOf(value))
}
if kind := results.Kind(); kind == reflect.Slice {
isSlice = true
resultType = results.Type().Elem()
results.Set(reflect.MakeSlice(results.Type(), 0, 0))
if resultType.Kind() == reflect.Ptr {
isPtr = true
resultType = resultType.Elem()
}
} else if kind != reflect.Struct {
scope.Err(errors.New("unsupported destination, should be slice or struct"))
return
}
scope.prepareQuerySQL()
if !scope.HasError() {
scope.db.RowsAffected = 0
if str, ok := scope.Get("gorm:query_option"); ok {
scope.SQL += addExtraSpaceIfExist(fmt.Sprint(str))
}
if rows, err := scope.SQLDB().Query(scope.SQL, scope.SQLVars...); scope.Err(err) == nil {
defer rows.Close()
columns, _ := rows.Columns()
for rows.Next() {
scope.db.RowsAffected++
elem := results
if isSlice {
elem = reflect.New(resultType).Elem()
}
scope.scan(rows, columns, scope.New(elem.Addr().Interface()).Fields())
if isSlice {
if isPtr {
results.Set(reflect.Append(results, elem.Addr()))
} else {
results.Set(reflect.Append(results, elem))
}
}
}
if err := rows.Err(); err != nil {
scope.Err(err)
} else if scope.db.RowsAffected == 0 && !isSlice {
scope.Err(ErrRecordNotFound)
}
}
}
}
複製代碼
核心的步驟在於 scope.prepareQuerySQL()
構建 SQL 語句. 而後經過 rows, err := scope.SQLDB().Query(scope.SQL, scope.SQLVars...)
, 執行了數據庫查詢.函數
那麼查詢到的結果是如何傳遞的, 傳遞給誰呢?ui
函數的開頭定義了 results = scope.IndirectValue()
, 這就是最終查詢結果的歸屬地.
results
只能是結構體或者是結構體的切片.
if kind := results.Kind(); kind == reflect.Slice {
isSlice = true
resultType = results.Type().Elem()
results.Set(reflect.MakeSlice(results.Type(), 0, 0))
if resultType.Kind() == reflect.Ptr {
isPtr = true
resultType = resultType.Elem()
}
} else if kind != reflect.Struct {
scope.Err(errors.New("unsupported destination, should be slice or struct"))
return
}
複製代碼
具體如何處理查詢到的結果是在下面這部分代碼中:
columns, _ := rows.Columns()
for rows.Next() {
scope.db.RowsAffected++
elem := results
if isSlice {
elem = reflect.New(resultType).Elem()
}
scope.scan(rows, columns, scope.New(elem.Addr().Interface()).Fields())
if isSlice {
if isPtr {
results.Set(reflect.Append(results, elem.Addr()))
} else {
results.Set(reflect.Append(results, elem))
}
}
}
複製代碼
這部分代碼的核心語句在於 scope.scan
, 看一下這個方法的定義:
func (scope *Scope) scan(rows *sql.Rows, columns []string, fields []*Field) {
var (
ignored interface{}
values = make([]interface{}, len(columns))
selectFields []*Field
selectedColumnsMap = map[string]int{}
resetFields = map[int]*Field{}
)
for index, column := range columns {
values[index] = &ignored
selectFields = fields
offset := 0
if idx, ok := selectedColumnsMap[column]; ok {
offset = idx + 1
selectFields = selectFields[offset:]
}
for fieldIndex, field := range selectFields {
if field.DBName == column {
if field.Field.Kind() == reflect.Ptr {
values[index] = field.Field.Addr().Interface()
} else {
reflectValue := reflect.New(reflect.PtrTo(field.Struct.Type))
reflectValue.Elem().Set(field.Field.Addr())
values[index] = reflectValue.Interface()
resetFields[index] = field
}
selectedColumnsMap[column] = offset + fieldIndex
if field.IsNormal {
break
}
}
}
}
scope.Err(rows.Scan(values...))
for index, field := range resetFields {
if v := reflect.ValueOf(values[index]).Elem().Elem(); v.IsValid() {
field.Field.Set(v)
}
}
}
複製代碼
就和它的名字暗示的那樣, 實際上就是調用了 rows.Scan(values...)
, 將查詢到的數據複製到對應的字段中.
由此, 咱們就瞭解了查詢時的主要流程了.
前面專一於流程, 略過了構建 SQL 語句的細節, 來仔細看看 prepareQuerySQL
方法.
func (scope *Scope) prepareQuerySQL() {
if scope.Search.raw {
scope.Raw(scope.CombinedConditionSql())
} else {
scope.Raw(fmt.Sprintf("SELECT %v FROM %v %v", scope.selectSQL(), scope.QuotedTableName(), scope.CombinedConditionSql()))
}
return
}
複製代碼
內部分支中都使用到了 scope.Raw
, 看一下它的實現:
// Raw set raw sql
func (scope *Scope) Raw(sql string) *Scope {
scope.SQL = strings.Replace(sql, "$$$", "?", -1)
return scope
}
複製代碼
它的做用是將獲取到的 sql 語句賦值到 scope.SQL
字段上, 其中替換了全部的 $$$
爲 ?
.
回到 prepareQuerySQL
上來, 重要的部分是實際上是 Raw
的參數. if 的後半部分更好理解點, 就是構建了 SELECT
表達式.
SELECT
表達式須要三個變量, 字段名, 表名, 條件.
將每一個都看一下吧.
func (scope *Scope) selectSQL() string {
if len(scope.Search.selects) == 0 {
if len(scope.Search.joinConditions) > 0 {
return fmt.Sprintf("%v.*", scope.QuotedTableName())
}
return "*"
}
return scope.buildSelectQuery(scope.Search.selects)
}
func (scope *Scope) buildSelectQuery(clause map[string]interface{}) (str string) {
switch value := clause["query"].(type) {
case string:
str = value
case []string:
str = strings.Join(value, ", ")
}
args := clause["args"].([]interface{})
replacements := []string{}
for _, arg := range args {
switch reflect.ValueOf(arg).Kind() {
case reflect.Slice:
values := reflect.ValueOf(arg)
var tempMarks []string
for i := 0; i < values.Len(); i++ {
tempMarks = append(tempMarks, scope.AddToVars(values.Index(i).Interface()))
}
replacements = append(replacements, strings.Join(tempMarks, ","))
default:
if valuer, ok := interface{}(arg).(driver.Valuer); ok {
arg, _ = valuer.Value()
}
replacements = append(replacements, scope.AddToVars(arg))
}
}
buff := bytes.NewBuffer([]byte{})
i := 0
for pos, char := range str {
if str[pos] == '?' {
buff.WriteString(replacements[i])
i++
} else {
buff.WriteRune(char)
}
}
str = buff.String()
return
}
複製代碼
當 scope.Search.selects
爲空的時候, 比較簡單. 只要根據是否有連表查詢, 返回 table.*
或 *
.
buildSelectQuery
就是根據 scope.Search.selects
構建查詢字段名.
前面半部分一看就明白.
switch value := clause["query"].(type) {
case string:
str = value
case []string:
str = strings.Join(value, ", ")
}
複製代碼
重點是遇到參數時如何處理, 也就是後半段代碼.
args := clause["args"].([]interface{})
replacements := []string{}
for _, arg := range args {
switch reflect.ValueOf(arg).Kind() {
case reflect.Slice:
values := reflect.ValueOf(arg)
var tempMarks []string
for i := 0; i < values.Len(); i++ {
tempMarks = append(tempMarks, scope.AddToVars(values.Index(i).Interface()))
}
replacements = append(replacements, strings.Join(tempMarks, ","))
default:
if valuer, ok := interface{}(arg).(driver.Valuer); ok {
arg, _ = valuer.Value()
}
replacements = append(replacements, scope.AddToVars(arg))
}
}
buff := bytes.NewBuffer([]byte{})
i := 0
for pos, char := range str {
if str[pos] == '?' {
buff.WriteString(replacements[i])
i++
} else {
buff.WriteRune(char)
}
}
複製代碼
主要的過程是遍歷 args := clause["args"].([]interface{})
, 建立了一個 replacements
切片. 而後將 str
中全部的 ?
, 替換爲了對應的字段.
到此, 構建 SELECT
字段的過程就結束了.
獲取表名的過程相對簡單, 直接展現代碼吧:
// QuotedTableName return quoted table name
func (scope *Scope) QuotedTableName() (name string) {
if scope.search != nil && len(scope.Search.tableName) > 0 {
if strings.Contains(scope.Search.tableName, " ") {
return scope.Search.tableName
}
return scope.Quote(scope.Search.tableName)
}
return scope.Quote(scope.TableName())
}
複製代碼
更多的關注點在於如何構建篩選條件, 即 CombinedConditionSql
方法.
// CombinedConditionSql return combined condition sql
func (scope *Scope) CombinedConditionSql() string {
joinSQL := scope.joinsSQL()
whereSQL := scope.whereSQL()
if scope.Search.raw {
whereSQL = strings.TrimSuffix(strings.TrimPrefix(whereSQL, "WHERE ("), ")")
}
return joinSQL + whereSQL + scope.groupSQL() +
scope.havingSQL() + scope.orderSQL() + scope.limitAndOffsetSQL()
}
複製代碼
短小的代碼中是精簡的邏輯, 條件語句有不少模塊, 這裏總共有 6 個子句. 都看一遍吧, 看完以後應該對如何構建條件語句不會陌生了.
func (scope *Scope) joinsSQL() string {
var joinConditions []string
for _, clause := range scope.Search.joinConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
joinConditions = append(joinConditions, strings.TrimSuffix(strings.TrimPrefix(sql, "("), ")"))
}
}
return strings.Join(joinConditions, " ") + " "
}
複製代碼
建立 joinSQL 的過程當中主要用到了 buildCondition
, 繼續深刻:
func (scope *Scope) buildCondition(clause map[string]interface{}, include bool) (str string) {
var (
quotedTableName = scope.QuotedTableName()
quotedPrimaryKey = scope.Quote(scope.PrimaryKey())
equalSQL = "="
inSQL = "IN"
)
// If building not conditions
if !include {
equalSQL = "<>"
inSQL = "NOT IN"
}
switch value := clause["query"].(type) {
case sql.NullInt64:
return fmt.Sprintf("(%v.%v %s %v)", quotedTableName, quotedPrimaryKey, equalSQL, value.Int64)
case int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64:
return fmt.Sprintf("(%v.%v %s %v)", quotedTableName, quotedPrimaryKey, equalSQL, value)
case []int, []int8, []int16, []int32, []int64, []uint, []uint8, []uint16, []uint32, []uint64, []string, []interface{}:
if !include && reflect.ValueOf(value).Len() == 0 {
return
}
str = fmt.Sprintf("(%v.%v %s (?))", quotedTableName, quotedPrimaryKey, inSQL)
clause["args"] = []interface{}{value}
case string:
if isNumberRegexp.MatchString(value) {
return fmt.Sprintf("(%v.%v %s %v)", quotedTableName, quotedPrimaryKey, equalSQL, scope.AddToVars(value))
}
if value != "" {
if !include {
if comparisonRegexp.MatchString(value) {
str = fmt.Sprintf("NOT (%v)", value)
} else {
str = fmt.Sprintf("(%v.%v NOT IN (?))", quotedTableName, scope.Quote(value))
}
} else {
str = fmt.Sprintf("(%v)", value)
}
}
case map[string]interface{}:
var sqls []string
for key, value := range value {
if value != nil {
sqls = append(sqls, fmt.Sprintf("(%v.%v %s %v)", quotedTableName, scope.Quote(key), equalSQL, scope.AddToVars(value)))
} else {
if !include {
sqls = append(sqls, fmt.Sprintf("(%v.%v IS NOT NULL)", quotedTableName, scope.Quote(key)))
} else {
sqls = append(sqls, fmt.Sprintf("(%v.%v IS NULL)", quotedTableName, scope.Quote(key)))
}
}
}
return strings.Join(sqls, " AND ")
case interface{}:
var sqls []string
newScope := scope.New(value)
if len(newScope.Fields()) == 0 {
scope.Err(fmt.Errorf("invalid query condition: %v", value))
return
}
scopeQuotedTableName := newScope.QuotedTableName()
for _, field := range newScope.Fields() {
if !field.IsIgnored && !field.IsBlank {
sqls = append(sqls, fmt.Sprintf("(%v.%v %s %v)", scopeQuotedTableName, scope.Quote(field.DBName), equalSQL, scope.AddToVars(field.Field.Interface())))
}
}
return strings.Join(sqls, " AND ")
default:
scope.Err(fmt.Errorf("invalid query condition: %v", value))
return
}
replacements := []string{}
args := clause["args"].([]interface{})
for _, arg := range args {
var err error
switch reflect.ValueOf(arg).Kind() {
case reflect.Slice: // For where("id in (?)", []int64{1,2})
if scanner, ok := interface{}(arg).(driver.Valuer); ok {
arg, err = scanner.Value()
replacements = append(replacements, scope.AddToVars(arg))
} else if b, ok := arg.([]byte); ok {
replacements = append(replacements, scope.AddToVars(b))
} else if as, ok := arg.([][]interface{}); ok {
var tempMarks []string
for _, a := range as {
var arrayMarks []string
for _, v := range a {
arrayMarks = append(arrayMarks, scope.AddToVars(v))
}
if len(arrayMarks) > 0 {
tempMarks = append(tempMarks, fmt.Sprintf("(%v)", strings.Join(arrayMarks, ",")))
}
}
if len(tempMarks) > 0 {
replacements = append(replacements, strings.Join(tempMarks, ","))
}
} else if values := reflect.ValueOf(arg); values.Len() > 0 {
var tempMarks []string
for i := 0; i < values.Len(); i++ {
tempMarks = append(tempMarks, scope.AddToVars(values.Index(i).Interface()))
}
replacements = append(replacements, strings.Join(tempMarks, ","))
} else {
replacements = append(replacements, scope.AddToVars(Expr("NULL")))
}
default:
if valuer, ok := interface{}(arg).(driver.Valuer); ok {
arg, err = valuer.Value()
}
replacements = append(replacements, scope.AddToVars(arg))
}
if err != nil {
scope.Err(err)
}
}
buff := bytes.NewBuffer([]byte{})
i := 0
for _, s := range str {
if s == '?' && len(replacements) > i {
buff.WriteString(replacements[i])
i++
} else {
buff.WriteRune(s)
}
}
str = buff.String()
return
}
複製代碼
開頭是一個精妙的選擇, 基於 include
, 實現了 not 條件.
var (
quotedTableName = scope.QuotedTableName()
quotedPrimaryKey = scope.Quote(scope.PrimaryKey())
equalSQL = "="
inSQL = "IN"
)
// If building not conditions
if !include {
equalSQL = "<>"
inSQL = "NOT IN"
}
複製代碼
中間是一個 switch value := clause["query"].(type)
選擇. 在這個 switch 選擇中, 大部分的條件都會直接返回. 剩餘的部分, 則會構建 str
字符串變量.
而這會繼續進入到結尾部分, 這部分的代碼和咱們上面看過的很是相似, 就是根據 clause["args"]
構建 replacements
切片, 用來替換 str
變量中的 ?
.
接着看下一個 whereSQL
方法.
func (scope *Scope) whereSQL() (sql string) {
var (
quotedTableName = scope.QuotedTableName()
deletedAtField, hasDeletedAtField = scope.FieldByName("DeletedAt")
primaryConditions, andConditions, orConditions []string
)
if !scope.Search.Unscoped && hasDeletedAtField {
sql := fmt.Sprintf("%v.%v IS NULL", quotedTableName, scope.Quote(deletedAtField.DBName))
primaryConditions = append(primaryConditions, sql)
}
if !scope.PrimaryKeyZero() {
for _, field := range scope.PrimaryFields() {
sql := fmt.Sprintf("%v.%v = %v", quotedTableName, scope.Quote(field.DBName), scope.AddToVars(field.Field.Interface()))
primaryConditions = append(primaryConditions, sql)
}
}
for _, clause := range scope.Search.whereConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
andConditions = append(andConditions, sql)
}
}
for _, clause := range scope.Search.orConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
orConditions = append(orConditions, sql)
}
}
for _, clause := range scope.Search.notConditions {
if sql := scope.buildCondition(clause, false); sql != "" {
andConditions = append(andConditions, sql)
}
}
orSQL := strings.Join(orConditions, " OR ")
combinedSQL := strings.Join(andConditions, " AND ")
if len(combinedSQL) > 0 {
if len(orSQL) > 0 {
combinedSQL = combinedSQL + " OR " + orSQL
}
} else {
combinedSQL = orSQL
}
if len(primaryConditions) > 0 {
sql = "WHERE " + strings.Join(primaryConditions, " AND ")
if len(combinedSQL) > 0 {
sql = sql + " AND (" + combinedSQL + ")"
}
} else if len(combinedSQL) > 0 {
sql = "WHERE " + combinedSQL
}
return
}
複製代碼
主要構建了三個部分, primaryConditions, andConditions, orConditions
.
if !scope.Search.Unscoped && hasDeletedAtField {
sql := fmt.Sprintf("%v.%v IS NULL", quotedTableName, scope.Quote(deletedAtField.DBName))
primaryConditions = append(primaryConditions, sql)
}
if !scope.PrimaryKeyZero() {
for _, field := range scope.PrimaryFields() {
sql := fmt.Sprintf("%v.%v = %v", quotedTableName, scope.Quote(field.DBName), scope.AddToVars(field.Field.Interface()))
primaryConditions = append(primaryConditions, sql)
}
}
複製代碼
前面兩個 if 構建了 primaryConditions
條件.
for _, clause := range scope.Search.whereConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
andConditions = append(andConditions, sql)
}
}
for _, clause := range scope.Search.orConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
orConditions = append(orConditions, sql)
}
}
for _, clause := range scope.Search.notConditions {
if sql := scope.buildCondition(clause, false); sql != "" {
andConditions = append(andConditions, sql)
}
}
複製代碼
而後三個 for 循環都使用了 buildCondition
方法. 注意到 scope.Search.notConditions
是算在 andConditions
中的.
orSQL := strings.Join(orConditions, " OR ")
combinedSQL := strings.Join(andConditions, " AND ")
if len(combinedSQL) > 0 {
if len(orSQL) > 0 {
combinedSQL = combinedSQL + " OR " + orSQL
}
} else {
combinedSQL = orSQL
}
複製代碼
結合 orConditions
和 andConditions
生成了條件語句.
if len(primaryConditions) > 0 {
sql = "WHERE " + strings.Join(primaryConditions, " AND ")
if len(combinedSQL) > 0 {
sql = sql + " AND (" + combinedSQL + ")"
}
} else if len(combinedSQL) > 0 {
sql = "WHERE " + combinedSQL
}
return
複製代碼
最後, 結合 primaryConditions
生成最終的 WHERE 子句.
接着看另外一個:
func (scope *Scope) groupSQL() string {
if len(scope.Search.group) == 0 {
return ""
}
return " GROUP BY " + scope.Search.group
}
複製代碼
GROUP BY 子句比較簡單, 直接就能構建.
繼續:
func (scope *Scope) havingSQL() string {
if len(scope.Search.havingConditions) == 0 {
return ""
}
var andConditions []string
for _, clause := range scope.Search.havingConditions {
if sql := scope.buildCondition(clause, true); sql != "" {
andConditions = append(andConditions, sql)
}
}
combinedSQL := strings.Join(andConditions, " AND ")
if len(combinedSQL) == 0 {
return ""
}
return " HAVING " + combinedSQL
}
複製代碼
HAVING 子句也不算難, 構建完條件以後用 AND 鏈接, 而後在最前面加上 HAVING 就好了.
繼續:
func (scope *Scope) orderSQL() string {
if len(scope.Search.orders) == 0 || scope.Search.ignoreOrderQuery {
return ""
}
var orders []string
for _, order := range scope.Search.orders {
if str, ok := order.(string); ok {
orders = append(orders, scope.quoteIfPossible(str))
} else if expr, ok := order.(*expr); ok {
exp := expr.expr
for _, arg := range expr.args {
exp = strings.Replace(exp, "?", scope.AddToVars(arg), 1)
}
orders = append(orders, exp)
}
}
return " ORDER BY " + strings.Join(orders, ",")
}
複製代碼
結構也是相似, 遍歷 scope.Search.orders
切片, order
有兩種不一樣的類型, 字符串或者 expr
結構體. 後者用於處理帶參數的狀況.
最後還有一個 limitAndOffsetSQL
方法:
func (scope *Scope) limitAndOffsetSQL() string {
return scope.Dialect().LimitAndOffsetSQL(scope.Search.limit, scope.Search.offset)
}
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這直接調用了具體數據庫驅動中的 LimitAndOffsetSQL
方法.
看兩個具體的實現, 一個是通用中的實現, 另外一個是 mysql 中的實現.
func (commonDialect) LimitAndOffsetSQL(limit, offset interface{}) (sql string) {
if limit != nil {
if parsedLimit, err := strconv.ParseInt(fmt.Sprint(limit), 0, 0); err == nil && parsedLimit >= 0 {
sql += fmt.Sprintf(" LIMIT %d", parsedLimit)
}
}
if offset != nil {
if parsedOffset, err := strconv.ParseInt(fmt.Sprint(offset), 0, 0); err == nil && parsedOffset >= 0 {
sql += fmt.Sprintf(" OFFSET %d", parsedOffset)
}
}
return
}
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直接將 limit 和 offset 解析爲 int 類型, 而後鏈接對應的關鍵字便可.
接着看一下 mysql 中的實現:
func (s mysql) LimitAndOffsetSQL(limit, offset interface{}) (sql string) {
if limit != nil {
if parsedLimit, err := strconv.ParseInt(fmt.Sprint(limit), 0, 0); err == nil && parsedLimit >= 0 {
sql += fmt.Sprintf(" LIMIT %d", parsedLimit)
if offset != nil {
if parsedOffset, err := strconv.ParseInt(fmt.Sprint(offset), 0, 0); err == nil && parsedOffset >= 0 {
sql += fmt.Sprintf(" OFFSET %d", parsedOffset)
}
}
}
}
return
}
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二者的區別在於 offset 的嵌套, mysql 中 offset 必須和 limit 一塊兒使用.
就這樣, CombinedConditionSql
中的全部子句都看完了. 說到底其實也沒什麼魔法, 不過是根據不一樣的條件, 構建不一樣的 SQL 語句.
一路從 First
深刻到查詢的內部細節. 在瞭解了底層細節以後, 其餘相似的方法也就不難理解了.
// Take return a record that match given conditions, the order will depend on the database implementation
func (s *DB) Take(out interface{}, where ...interface{}) *DB {
newScope := s.NewScope(out)
newScope.Search.Limit(1)
return newScope.inlineCondition(where...).callCallbacks(s.parent.callbacks.queries).db
}
// Last find last record that match given conditions, order by primary key
func (s *DB) Last(out interface{}, where ...interface{}) *DB {
newScope := s.NewScope(out)
newScope.Search.Limit(1)
return newScope.Set("gorm:order_by_primary_key", "DESC").
inlineCondition(where...).callCallbacks(s.parent.callbacks.queries).db
}
// Find find records that match given conditions
func (s *DB) Find(out interface{}, where ...interface{}) *DB {
return s.NewScope(out).inlineCondition(where...).callCallbacks(s.parent.callbacks.queries).db
}
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前面的過程當中, 咱們只看到了最簡單的查詢是如何產生的. 在這個過程當中, 沒有仔細研究查詢條件是如何存儲的.
看一下如何使用 Where
方法添加查詢條件.
// Get first matched record
db.Where("name = ?", "jinzhu").First(&user)
//// SELECT * FROM users WHERE name = 'jinzhu' limit 1;
// Get all matched records
db.Where("name = ?", "jinzhu").Find(&users)
//// SELECT * FROM users WHERE name = 'jinzhu';
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上面的例子來自於官方文檔. GORM 使用鏈式調用的風格, 能夠串聯多個 Where 方法, 或是其餘的查詢條件.
// Where return a new relation, filter records with given conditions, accepts `map`, `struct` or `string` as conditions, refer http://jinzhu.github.io/gorm/crud.html#query
func (s *DB) Where(query interface{}, args ...interface{}) *DB {
return s.clone().search.Where(query, args...).db
}
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上面是 Where
方法的代碼, 在它的源碼附近有不少相似的的方法.
// Or filter records that match before conditions or this one, similar to `Where`
func (s *DB) Or(query interface{}, args ...interface{}) *DB {
return s.clone().search.Or(query, args...).db
}
// Not filter records that don't match current conditions, similar to `Where`
func (s *DB) Not(query interface{}, args ...interface{}) *DB {
return s.clone().search.Not(query, args...).db
}
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能夠很容易的發現, 這一切的源頭都是 search
對象.
結構體 DB
定義的時候, 有個字段就是 search
:
search *search
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這就是用於存儲查詢條件的地方. 它的定義以下:
type search struct {
db *DB
whereConditions []map[string]interface{}
orConditions []map[string]interface{}
notConditions []map[string]interface{}
havingConditions []map[string]interface{}
joinConditions []map[string]interface{}
initAttrs []interface{}
assignAttrs []interface{}
selects map[string]interface{}
omits []string
orders []interface{}
preload []searchPreload
offset interface{}
limit interface{}
group string
tableName string
raw bool
Unscoped bool
ignoreOrderQuery bool
}
type searchPreload struct {
schema string
conditions []interface{}
}
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這裏有不少類型爲 []map[string]interface{}
的字段, 結合前面關於條件查詢的代碼, 就能回憶起這就是存儲各類條件的地方.
另外一些字段好比 offset
和 limit
也很容易明白它的做用.
search 下有不少方法, 雖然方法數量比較多, 但基本都很短, 總共也就一百行出頭.
func (s *search) clone() *search {
clone := *s
return &clone
}
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這個克隆方法有點獨特, 彷佛什麼也沒作, 也多是我見識少.
func (s *search) Where(query interface{}, values ...interface{}) *search {
s.whereConditions = append(s.whereConditions, map[string]interface{}{"query": query, "args": values})
return s
}
func (s *search) Not(query interface{}, values ...interface{}) *search {
s.notConditions = append(s.notConditions, map[string]interface{}{"query": query, "args": values})
return s
}
func (s *search) Or(query interface{}, values ...interface{}) *search {
s.orConditions = append(s.orConditions, map[string]interface{}{"query": query, "args": values})
return s
}
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上面這些方法都是用參數構建成一個 map 而後推入對應的切片中, 考慮到鏈式調用, 返回了自己.
func (s *search) Attrs(attrs ...interface{}) *search {
s.initAttrs = append(s.initAttrs, toSearchableMap(attrs...))
return s
}
func (s *search) Assign(attrs ...interface{}) *search {
s.assignAttrs = append(s.assignAttrs, toSearchableMap(attrs...))
return s
}
func toSearchableMap(attrs ...interface{}) (result interface{}) {
if len(attrs) > 1 {
if str, ok := attrs[0].(string); ok {
result = map[string]interface{}{str: attrs[1]}
}
} else if len(attrs) == 1 {
if attr, ok := attrs[0].(map[string]interface{}); ok {
result = attr
}
if attr, ok := attrs[0].(interface{}); ok {
result = attr
}
}
return
}
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這兩個方法也是相似, 並使用了 toSearchableMap
轉換參數.
func (s *search) Order(value interface{}, reorder ...bool) *search {
if len(reorder) > 0 && reorder[0] {
s.orders = []interface{}{}
}
if value != nil && value != "" {
s.orders = append(s.orders, value)
}
return s
}
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看到這個可能有點疑惑, 能夠從文檔和註釋中獲取解釋.
// Order specify order when retrieve records from database, set reorder to `true` to overwrite defined conditions
// db.Order("name DESC")
// db.Order("name DESC", true) // reorder
// db.Order(gorm.Expr("name = ? DESC", "first")) // sql expression
func (s *DB) Order(value interface{}, reorder ...bool) *DB {
return s.clone().search.Order(value, reorder...).db
}
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第二個參數用於判斷是否覆蓋前面的排序條件.
可能有點奇怪的是爲何 reorder
是可變參數, 不知爲了兼容或者是歷史遺留.
另外一點是不能理解 []interface{}{}
, 這其實能夠分爲兩部分, []interface{}
是類型, {}
構造了一個空的該類型實例.
func (s *search) Select(query interface{}, args ...interface{}) *search {
s.selects = map[string]interface{}{"query": query, "args": args}
return s
}
func (s *search) Omit(columns ...string) *search {
s.omits = columns
return s
}
func (s *search) Limit(limit interface{}) *search {
s.limit = limit
return s
}
func (s *search) Offset(offset interface{}) *search {
s.offset = offset
return s
}
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這幾個就是替換型的了, 每次調用都只會保存最新值.
func (s *search) Group(query string) *search {
s.group = s.getInterfaceAsSQL(query)
return s
}
func (s *search) getInterfaceAsSQL(value interface{}) (str string) {
switch value.(type) {
case string, int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64:
str = fmt.Sprintf("%v", value)
default:
s.db.AddError(ErrInvalidSQL)
}
if str == "-1" {
return ""
}
return
}
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getInterfaceAsSQL
的一個特性是使用 -1
會重置.
func (s *search) Having(query interface{}, values ...interface{}) *search {
if val, ok := query.(*expr); ok {
s.havingConditions = append(s.havingConditions, map[string]interface{}{"query": val.expr, "args": val.args})
} else {
s.havingConditions = append(s.havingConditions, map[string]interface{}{"query": query, "args": values})
}
return s
}
func (s *search) Joins(query string, values ...interface{}) *search {
s.joinConditions = append(s.joinConditions, map[string]interface{}{"query": query, "args": values})
return s
}
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這其實也比較相似前面看過的, 就很少解釋了.
func (s *search) Preload(schema string, values ...interface{}) *search {
var preloads []searchPreload
for _, preload := range s.preload {
if preload.schema != schema {
preloads = append(preloads, preload)
}
}
preloads = append(preloads, searchPreload{schema, values})
s.preload = preloads
return s
}
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Preload
須要防止重複, 因此開頭會從新遍歷一遍已經存在的 schema
.
func (s *search) Raw(b bool) *search {
s.raw = b
return s
}
func (s *search) unscoped() *search {
s.Unscoped = true
return s
}
func (s *search) Table(name string) *search {
s.tableName = name
return s
}
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最後幾個方法也沒什麼特殊的.
search 結構體仍是挺簡單的, 定義加方法總共也就一百多行. 但用處卻不小, 查詢相關的條件都是存儲在這裏的.
這部分主要查看了 SQL 查詢是如何發生的, 並在這個過程當中探索了各類查詢子句是如何實現的. 同時, 也研究了一下 search 結構體和它的做用.