mongo数据库增加是否重缓存查询数据,增加随机修改删除状态接口;redis增加-队列消息读取封装方法

This commit is contained in:
2025-12-29 14:46:39 +08:00
committed by 张斌
parent 63c19d0727
commit c80ecb19e4
3 changed files with 175 additions and 54 deletions

View File

@@ -4,6 +4,7 @@ import (
"context"
"errors"
"fmt"
"github.com/gogf/gf/v2/container/gvar"
"strings"
"sync"
"time"
@@ -317,7 +318,7 @@ func GetTenantInfo(ctx context.Context) (user do.User, err error) {
}
// Find 查询多条记录
func Find(ctx context.Context, filter bson.M, result interface{}, collection string, opts ...options.Lister[options.FindOptions]) (err error) {
func Find(ctx context.Context, NoCache bool, filter bson.M, result interface{}, collection string, opts ...options.Lister[options.FindOptions]) (err error) {
if err = utils.ValidStructPtr(result); err != nil {
return
}
@@ -328,34 +329,39 @@ func Find(ctx context.Context, filter bson.M, result interface{}, collection str
filter["isDeleted"] = false
filterMap := utils.OrderMap(filter)
optsMap := listOptionsToMap(ctx, opts...)
redisKey := fmt.Sprintf(consts.List, user.TenantId, collection, gconv.String(filterMap), gconv.String(optsMap))
resultStr, err := redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return
}
if !g.IsEmpty(resultStr) {
err = gconv.Scan(resultStr, result)
redisKey := ""
if !NoCache {
redisKey = fmt.Sprintf(consts.List, user.TenantId, collection, gconv.String(filterMap), gconv.String(optsMap))
var resultStr *gvar.Var
resultStr, err = redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return err
return
}
if !g.IsEmpty(resultStr) {
err = gconv.Scan(resultStr, result)
if err != nil {
return err
}
return
}
return
}
filter["tenantId"] = user.TenantId
cur, err := db.Collection(collection).Find(ctx, filter, opts...)
if err != nil {
return
}
err = cur.All(ctx, result)
err = redis.RedisClient.SetEX(ctx, redisKey, result, int64(time.Hour))
if err != nil {
return err
if !NoCache {
err = redis.RedisClient.SetEX(ctx, redisKey, result, int64(time.Hour))
if err != nil {
return err
}
}
return
}
// FindOne 查询1条记录
func FindOne(ctx context.Context, filter bson.M, result interface{}, collection string, opts ...options.Lister[options.FindOneOptions]) (err error) {
func FindOne(ctx context.Context, NoCache bool, filter bson.M, result interface{}, collection string, opts ...options.Lister[options.FindOneOptions]) (err error) {
if len(filter) == 0 {
err = gerror.New("缺少查询条件")
return
@@ -369,27 +375,35 @@ func FindOne(ctx context.Context, filter bson.M, result interface{}, collection
}
filter["isDeleted"] = false
filterMap := utils.OrderMap(filter)
redisKey := fmt.Sprintf(consts.One, user.TenantId, collection, gconv.String(filterMap))
resultStr, err := redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return
}
if !g.IsEmpty(resultStr) {
err = gconv.Scan(resultStr, result)
redisKey := ""
if !NoCache {
redisKey := fmt.Sprintf(consts.One, user.TenantId, collection, gconv.String(filterMap))
var resultStr *gvar.Var
resultStr, err = redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return err
return
}
if !g.IsEmpty(resultStr) {
err = gconv.Scan(resultStr, result)
if err != nil {
return err
}
return
}
return
}
filter["tenantId"] = user.TenantId
if !g.IsEmpty(user.TenantId) {
filter["tenantId"] = user.TenantId
}
cur := db.Collection(collection).FindOne(ctx, filter, opts...)
err = cur.Decode(result)
if errors.Is(err, mongo.ErrNoDocuments) {
err = nil
}
err = redis.RedisClient.SetEX(ctx, redisKey, result, int64(time.Hour))
if err != nil {
return err
if !NoCache {
err = redis.RedisClient.SetEX(ctx, redisKey, result, int64(time.Hour))
if err != nil {
return err
}
}
return
}
@@ -475,13 +489,61 @@ func Update(ctx context.Context, filter bson.M, update bson.M, collection string
return
}
// RandomSoftDelete 随机软删除个文档的 _id
func RandomSoftDelete(ctx context.Context, limit int, collection string, opts ...options.Lister[options.UpdateManyOptions]) (result *mongo.UpdateResult, err error) {
// 步骤 1: 使用聚合管道的 $sample 操作符随机抽取5个文档的 _id
pipeline := mongo.Pipeline{
// 阶段1: 为每个文档添加一个 0-1 之间的随机数字段 'random'
bson.D{{Key: "$addFields", Value: bson.D{{Key: "random", Value: bson.M{"$rand": bson.M{}}}}}},
// 阶段1: 匹配所有未删除的文档
bson.D{{Key: "$match", Value: bson.D{{Key: "isDeleted", Value: false}}}},
// 阶段2: 按随机数降序排序
bson.D{{Key: "$sort", Value: bson.D{{Key: "random", Value: -1}}}},
// 阶段3: 只取前5个
bson.D{{Key: "$limit", Value: limit}},
// 阶段4: 只投影 _id
bson.D{{Key: "$project", Value: bson.D{{Key: "_id", Value: 1}}}},
}
cursor, err := db.Collection(collection).Aggregate(ctx, pipeline)
if err != nil {
return
}
defer cursor.Close(ctx)
// 步骤 2: 从聚合结果中提取 _id 到一个切片中
var idsToUpdate []bson.ObjectID
for cursor.Next(ctx) {
var result bson.M
if err := cursor.Decode(&result); err != nil {
return nil, err
}
// 将 bson.M 中的 _id 断言为 primitive.ObjectID
id := result["_id"].(bson.ObjectID)
idsToUpdate = append(idsToUpdate, id)
}
if err := cursor.Err(); err != nil {
return nil, err
}
fmt.Printf("准备更新的随机文档ID: %v\n", idsToUpdate)
// 步骤 3: 使用 $in 操作符和 UpdateMany 批量更新选定的文档
if len(idsToUpdate) > 0 {
// 过滤条件:匹配 idsToUpdate 切片中的任意一个 _id
filter := bson.D{{Key: "_id", Value: bson.D{{Key: "$in", Value: idsToUpdate}}}}
// 更新操作:使用 $set 修改字段
update := bson.D{{Key: "$set", Value: bson.D{{Key: "isDeleted", Value: true}}}}
_, err = db.Collection(collection).UpdateMany(ctx, filter, update)
if err != nil {
return
}
}
return
}
// SaveOrUpdate 批量增加或修改
func SaveOrUpdate(ctx context.Context, filter []bson.M, update []bson.M, collection string, opts ...options.Lister[options.UpdateManyOptions]) (result *mongo.BulkWriteResult, err error) {
if len(filter) == 0 || len(update) == 0 {
err = gerror.New("缺少查询条件或更新数据")
return
}
if len(filter) != len(update) {
err = gerror.New("查询条件和更新数据的数量必须一致")
return
@@ -490,17 +552,14 @@ func SaveOrUpdate(ctx context.Context, filter []bson.M, update []bson.M, collect
if err != nil {
return
}
// 构建批量操作模型
var models []mongo.WriteModel
for i := 0; i < len(filter); i++ {
// 处理过滤器
filter[i]["isDeleted"] = false
if !g.IsEmpty(user.TenantId) {
filter[i]["tenantId"] = user.TenantId
}
// 处理更新数据
if setDoc, exists := update[i]["$set"].(bson.M); exists {
if !g.IsEmpty(user.UserName) {
@@ -516,13 +575,11 @@ func SaveOrUpdate(ctx context.Context, filter []bson.M, update []bson.M, collect
setDoc["updatedAt"] = gtime.Now().Time
update[i]["$set"] = setDoc
}
// 创建更新操作模型
updateModel := mongo.NewUpdateOneModel()
updateModel.SetFilter(filter[i])
updateModel.SetUpdate(update[i])
updateModel.SetUpsert(true) // 默认不插入新文档
// 处理选项参数
if len(opts) > 0 {
for _, opt := range opts {
@@ -536,17 +593,14 @@ func SaveOrUpdate(ctx context.Context, filter []bson.M, update []bson.M, collect
}
}
}
models = append(models, updateModel)
}
// 执行批量操作,无序执行提高性能
bulkOpts := options.BulkWrite().SetOrdered(false)
bulkResult, err := db.Collection(collection).BulkWrite(ctx, models, bulkOpts)
if err != nil {
return nil, err
}
// 清理相关缓存
for _, filterItem := range filter {
err = cleanRedis(ctx, filterItem, user.TenantId, collection)
@@ -591,27 +645,33 @@ func Insert(ctx context.Context, documents []interface{}, collection string, opt
}
// Count 查询总数
func Count(ctx context.Context, filter bson.M, collection string) (count int64, err error) {
func Count(ctx context.Context, NoCache bool, filter bson.M, collection string) (count int64, err error) {
user, err := GetTenantInfo(ctx)
if err != nil {
return
}
filter["isDeleted"] = false
filterMap := utils.OrderMap(filter)
redisKey := fmt.Sprintf(consts.Count, user.TenantId, collection, gconv.String(filterMap))
resultStr, err := redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return
}
if !g.IsEmpty(resultStr) {
count = gconv.Int64(resultStr)
return
redisKey := ""
if !NoCache {
redisKey = fmt.Sprintf(consts.Count, user.TenantId, collection, gconv.String(filterMap))
var resultStr *gvar.Var
resultStr, err = redis.RedisClient.Get(ctx, redisKey)
if err != nil {
return
}
if !g.IsEmpty(resultStr) {
count = gconv.Int64(resultStr)
return
}
}
// 调用驱动的 CountDocuments在数据库端执行的
count, err = db.Collection(collection).CountDocuments(ctx, filter)
err = redis.RedisClient.SetEX(ctx, redisKey, count, int64(time.Hour))
if err != nil {
return
if !NoCache {
err = redis.RedisClient.SetEX(ctx, redisKey, count, int64(time.Hour))
if err != nil {
return
}
}
return
}