gdcache
gdcache is a pure non-intrusive distributed cache library implemented by golang, you can use it to implement your own distributed cache. 中文文档
Features
- Automatically cache sql
- Reuse id cache
- Adapt to Xorm and Gorm framework
- Support cache joint key
- Lightweight
- Non-invasive
- High performance
- Flexible
Core principle
The core principle of gdcache is to convert sql into id and cache it, and cache the entity corresponding to id. In this way, each sql has the same id and can reuse the corresponding entity content.
As shown in the figure above, each piece of sql can be converted to the corresponding sql, and the bottom layer will reuse these ids. If these ids are not queried, because we don’t know whether they are out of date or because these values do not exist in the database, we will all be in the database and access these entities that cannot be retrieved from the cache from the database. Get it once, and if it can get it, it will cache it once.
Save memory
The conventional caching framework will cache the content of the result, but the gdcache cache library is different from it. It will only cache the id of the result and find the value through the id. The advantage of this is that the value can be reused, and the value corresponding to id will only be cached once.
Installation
go get github.com/ulovecode/gdcache
Quick Start
- The class to be cached must implement the
TableName()method, and usecache:"id"to indicate the cached key. The default is to cache byid, and the value of thecachetag corresponds to Fields in the database, usually can be ignored.
type User struct {
Id uint64 `cache:"id"` // Or omit the tag
Name string
Age int
}
func (u User) TableName() string {
return "user"
}
- If you want to use a joint key, you can add a
cachetag to multiple fields
type PublicRelations struct {
RelatedId uint64 `cache:"related_id"`
RelatedType string
SourceId uint64 `cache:"source_id"`
SourceType string
}
func (u PublicRelations) TableName() string {
return "public_relations"
}
- Implement the
ICacheinterface, you can use redis or gocache as the underlying implementation.
type MemoryCacheHandler struct {
data map[string][]byte
}
func (m MemoryCacheHandler) StoreAll(keyValues ...gdcache.KeyValue) (err error) {
for _, keyValue := range keyValues {
m.data[keyValue.Key] = keyValue.Value
}
return nil
}
func (m MemoryCacheHandler) Get(key string) (data []byte, has bool, err error) {
bytes, has := m.data[key]
return bytes, has, nil
}
func (m MemoryCacheHandler) GetAll(keys schemas.PK) (data []gdcache.ReturnKeyValue, err error) {
returnKeyValues := make([]gdcache.ReturnKeyValue, 0)
for _, key := range keys {
bytes, has := m.data[key]
returnKeyValues = append(returnKeyValues, gdcache.ReturnKeyValue{
KeyValue: gdcache.KeyValue{
Key: key,
Value: bytes,
},
Has: has,
})
}
return returnKeyValues, nil
}
func (m MemoryCacheHandler) DeleteAll(keys schemas.PK) error {
for _, k := range keys {
delete(m.data, k)
}
return nil
}
func NewMemoryCacheHandler() *MemoryCacheHandler {
return &MemoryCacheHandler{
data: make(map[string][]byte, 0),
}
}
Gorm usage
Implement the IDB interface
type GormDB struct {
db *gorm.DB
}
func (g GormDB) GetEntries(entries interface{}, sql string) error {
tx := g.db.Raw(sql).Find(entries)
return tx.Error
}
func (g GormDB) GetEntry(entry interface{}, sql string) (bool, error) {
tx := g.db.Raw(sql).Take(entry)
if gorm.ErrRecordNotFound == tx.Error {
return false, nil
}
return tx.Error != gorm.ErrRecordNotFound, tx.Error
}
func NewGormCacheHandler() *gdcache.CacheHandler {
return gdcache.NewCacheHandler(NewMemoryCacheHandler(), NewGormDd())
}
func NewGormDd() gdcache.IDB {
db, err := gorm.Open(mysql.Open("root:root@tcp(127.0.0.1:3306)/test?charset=utf8&parseTime=True&loc=Local"), &gorm.Config{})
if err != nil {
panic(err)
}
return GormDB{
db: db,
}
}
Xorm usage
Implement the IDB interface
type XormDB struct {
db *xorm.Engine
}
func (g XormDB) GetEntries(entries interface{}, sql string) ( error) {
err := g.db.SQL(sql).Find(entries)
return err
}
func (g XormDB) GetEntry(entry interface{}, sql string) ( bool, error) {
has, err := g.db.SQL(sql).Get(entry)
return has, err
}
func NewXormCacheHandler() *gdcache.CacheHandler {
return gdcache.NewCacheHandler(NewMemoryCacheHandler(), NewXormDd())
}
func NewXormDd() gdcache.IDB {
db, err := xorm.NewEngine("mysql", "root:root@/test?charset=utf8")
if err != nil {
panic(err)
}
return XormDB{
db: db,
}
}
Native SQL usage
Implement the IDB interface
type MemoryDb struct {
}
func NewMemoryDb() *MemoryDb {
return &MemoryDb{}
}
func (m MemoryDb) GetEntries(entries interface{}, sql string) error {
mockEntries := make([]MockEntry, 0)
mockEntries = append(mockEntries, MockEntry{
RelateId: 1,
SourceId: 2,
PropertyId: 3,
})
marshal, _ := json.Marshal(mockEntries)
json.Unmarshal(marshal, entries)
return nil
}
func (m MemoryDb) GetEntry(entry interface{}, sql string) (bool, error) {
mockEntry := &MockEntry{
RelateId: 1,
SourceId: 2,
PropertyId: 3,
}
marshal, _ := json.Marshal(mockEntry)
json.Unmarshal(marshal, entry)
return true, nil
}
func NewMemoryCache() *gdcache.CacheHandler {
return gdcache.NewCacheHandler(NewMemoryCacheHandler(), NewMemoryDb())
}
How to use
When querying a single entity, query through the entity's id and fill it into the entity. When getting multiple entities, you can use any sql query and finally fill it into the entity. Both methods must be introduced into the body's fat needle.
func TestNewGormCache(t *testing.T) {
handler := NewGormCacheHandler()
user := User{
Id: 1,
}
has, err := handler.GetEntry(&user)
if err != nil {
t.FailNow()
}
if has {
t.Logf("%v", user)
}
users := make([]User, 0)
err = handler.GetEntries(&users, "SELECT * FROM user WHERE name = '33'")
if err != nil {
t.FailNow()
}
for _, user := range users {
t.Logf("%v", user)
}
err = handler.GetEntries(&users, "SELECT * FROM user WHERE id in (3)")
if err != nil {
t.FailNow()
}
for _, user := range users {
t.Logf("%v", user)
}
}
Contributing
You can help provide better gdcahe by submitting pr.
License
© Jovanzhu, 2021~time.Now
Released under the MIT License
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