代码性能优化-----减少数据库读取次数

对于从相同数据源读取不同要求的数据,可以只读取一次数据库,用linq进行数据的分类。

数据库示例:

--优化前读取7此数据库
SELECT COUNT(DISTINCT p) FROM aa WITH(NOLOCK) WHERE DateDiff(dd, c, getdate())=0
SELECT COUNT(DISTINCT p) FROM aa WITH(NOLOCK) WHERE DateDiff(dd, c, getdate())=1
SELECT COUNT(DISTINCT p) FROM aa WITH(NOLOCK)
SELECT SUM(at) FROM aa WITH(NOLOCK) WHERE s=30
SELECT MAX(at) FROM aa WITH(NOLOCK) WHERE s=30
SELECT SUM(at) FROM aa WITH(NOLOCK) WHERE s=10
SELECT SUM(at) FROM aa WITH(NOLOCK) WHERE s=30 and d=1

--优化后读取一次数据库
SELECT at,s,d,p,c FROM aa WITH(NOLOCK)

获取数据示例:

       //代码优化读7次数据库,改为读一次数据库
            var tempt = RB.GetAA(Config.ConStrRead);
            if (tempt != null&& tempt.Rows.Count>0)
            {
                var enumer = tempt.AsEnumerable();
                var todayPhones= enumer.Where(m => SlConvert.TryToDateTime(m["c"]) >= DateTime.Today).Select(m => SlConvert.TryToInt64(m["Phone"]));
                outModel.TodayRecv = todayPhones.ToList().Distinct().Count();

                //var yesterdayPhones = enumer.Where(m => SlConvert.TryToDateTime(m["c"]) >= DateTime.Today.AddDays(-1)).Select(m => SlConvert.TryToInt64(m["Phone"]));
                //outModel.YesterdayRecv = yesterdayPhones.ToList().Distinct().Count();

                var totalPhones = enumer.Select(m => SlConvert.TryToInt64(m["p"]));
                outModel.TotalRecv = totalPhones.ToList().Distinct().Count();

                var cashed = enumer.Where(m => SlConvert.TryToInt32(m["s"]) == 30).ToList();
                var cashedAfterTaxMoney = cashed.Select(m => SlConvert.TryToInt64(m["at"])).ToList();
                outModel.TotalSaveMoney = cashedAfterTaxMoney.Sum();

                //outModel.ServerMoneyAll = cashed.Where(m => SlConvert.TryToInt32(m["d"]) == 1).Select(m => SlConvert.TryToInt64(m["at"])).Sum();

                outModel.MaxRedBagMoney = cashedAfterTaxMoney.Max();

                outModel.RestRedBagMoney = enumer.Where(m => SlConvert.TryToInt32(m["s"]) == 10).Select(m => SlConvert.TryToInt64(m["at"])).Sum();
            }
原文地址:https://www.cnblogs.com/panpanwelcome/p/6213939.html