127.0.0.1:9200
URL: http://127.0.0.1:9200/likecs_art_db/_search
REQUEST:
Array
(
    [query] => Array
        (
            [match] => Array
                (
                    [text] => Array
                        (
                            [query] => SQL Server-聚焦sp_executesql执行动态SQL查询性能真的比exec好？
                        )

                )

        )

    [highlight] => Array
        (
            [fields] => Array
                (
                    [text] => stdClass Object
                        (
                        )

                )

            [pre_tags] => #em#
            [post_tags] => #/em#
        )

    [size] => 8
    [from] => 0
)
RESPONSE:
string(8244) "{"took":45,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":10000,"relation":"gte"},"max_score":85.913666,"hits":[{"_index":"likecs_art_db","_type":"_doc","_id":"4864","_score":85.913666,"_source":{"id":"4864","text":"SQL Server-\u805a\u7126sp_executesql\u6267\u884c\u52a8\u6001SQL\u67e5\u8be2\u6027\u80fd\u771f\u7684\u6bd4exec\u597d\uff1f","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"CreateMyself","tagsname":"","tagsid":"[]","catesname":"SQL Server High-Performance","catesid":"[1174]","createtime":"1515769641"},"highlight":{"text":["#em#SQL#/em# #em#Server#/em#-#em#聚#/em##em#焦#/em##em#sp_executesql#/em##em#执#/em##em#行#/em##em#动#/em##em#态#/em##em#SQL#/em##em#查#/em##em#询#/em##em#性#/em##em#能#/em##em#真#/em##em#的#/em##em#比#/em##em#exec#/em##em#好#/em#？"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"764054","_score":43.2005,"_source":{"id":"764054","text":"SQL Server-\u805a\u7126\u6df1\u5165\u7406\u89e3\u52a8\u6001SQL\u67e5\u8be2\uff08\u4e09\u5341\u4e8c\uff09","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"CreateMyself","tagsname":"","tagsid":"","catesname":null,"catesid":"","createtime":"1636669610"},"highlight":{"text":["#em#SQL#/em# #em#Server#/em#-#em#聚#/em##em#焦#/em#深入理解#em#动#/em##em#态#/em##em#SQL#/em##em#查#/em##em#询#/em#（三十二）"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"764053","_score":38.038967,"_source":{"id":"764053","text":"\u67e5\u8be2SQL Server\u6267\u884c\u8fc7\u7684SQL\u8bed\u53e5","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"blogcore","tagsname":"","tagsid":"","catesname":null,"catesid":"","createtime":"1636669607"},"highlight":{"text":["#em#查#/em##em#询#/em##em#SQL#/em# #em#Server#/em##em#执#/em##em#行#/em#过#em#的#/em##em#SQL#/em#语句"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"203318053","_score":34.067814,"_source":{"id":"203318053","text":"sql server\u6027\u80fd\u67e5\u8be2,\u8fde\u63a5\u6570","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"","tagsname":null,"tagsid":"","catesname":null,"catesid":"","createtime":"1624617446"},"highlight":{"text":["#em#sql#/em# #em#server#/em##em#性#/em##em#能#/em##em#查#/em##em#询#/em#,连接数"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"203505153","_score":32.66732,"_source":{"id":"203505153","text":"SQL\u67e5\u8be2\u8bed\u53e5\u6267\u884c","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"","tagsname":null,"tagsid":"","catesname":null,"catesid":"","createtime":"1633665886"},"highlight":{"text":["#em#SQL#/em##em#查#/em##em#询#/em#语句#em#执#/em##em#行#/em#"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"120683","_score":32.221924,"_source":{"id":"120683","text":"\u81ea\u9002\u5e94\u67e5\u8be2\u6267\u884c\uff1a\u5728\u8fd0\u884c\u65f6\u63d0\u5347Spark SQL\u6267\u884c\u6027\u80fd","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"bigdatalearnshare","tagsname":"\u5185\u5b58\u8ba1\u7b97|\u5927\u6570\u636e\u8ba1\u7b97\u5f15\u64ce|\u5927\u6570\u636e|Spark|\u5206\u5e03\u5f0f\u8ba1\u7b97","tagsid":"[\"26728\",\"26830\",\"888\",\"412\",27354]","catesname":"Spark","catesid":"[\"319\"]","createtime":"1608513820"},"highlight":{"text":["自适应#em#查#/em##em#询#/em##em#执#/em##em#行#/em#：在运#em#行#/em#时提升Spark #em#SQL#/em##em#执#/em##em#行#/em##em#性#/em##em#能#/em#"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"108720","_score":32.112186,"_source":{"id":"108720","text":"Oracle\u67e5\u770bSQL\u6267\u884c\u8ba1\u5212\uff0c\u5206\u6790SQL\u6027\u80fd","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"zdmd","tagsname":"","tagsid":"","catesname":null,"catesid":"","createtime":"1641130294"},"highlight":{"text":["Oracle#em#查#/em#看#em#SQL#/em##em#执#/em##em#行#/em#计划，分析#em#SQL#/em##em#性#/em##em#能#/em#"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"45387","_score":31.7429,"_source":{"id":"45387","text":"\u3010Sql Server\u3011SQL SERVER \u9012\u5f52\u67e5\u8be2","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"willingtolove","tagsname":"","tagsid":"","catesname":null,"catesid":"","createtime":"1545559393"},"highlight":{"text":["【#em#Sql#/em# #em#Server#/em#】#em#SQL#/em# #em#SERVER#/em# 递归#em#查#/em##em#询#/em#"]}}]}}"
127.0.0.1:9200
URL: http://127.0.0.1:9200/likecs_art_db/_search
REQUEST:
Array
(
    [query] => Array
        (
            [match] => Array
                (
                    [text] => Array
                        (
                            [query] => SQL Server-聚焦sp_executesql执行动态SQL查询性能真的比exec好？
                        )

                )

        )

    [highlight] => Array
        (
            [fields] => Array
                (
                    [text] => stdClass Object
                        (
                        )

                )

            [pre_tags] => #em#
            [post_tags] => #/em#
        )

    [size] => 8
    [from] => 8
)
RESPONSE:
string(7570) "{"took":53,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":10000,"relation":"gte"},"max_score":85.913666,"hits":[{"_index":"likecs_art_db","_type":"_doc","_id":"203505162","_score":31.432676,"_source":{"id":"203505162","text":"\u7406\u89e3SQL Server\u662f\u5982\u4f55\u6267\u884c\u67e5\u8be2\u7684 (1\/3)","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        ","username":"","tagsname":null,"tagsid":"","catesname":null,"catesid":"","createtime":"1626195230"},"highlight":{"text":["理解#em#SQL#/em# #em#Server#/em#是如何#em#执#/em##em#行#/em##em#查#/em##em#询#/em##em#的#/em# (1/3)"]}},{"_index":"likecs_art_db","_type":"_doc","_id":"971156","_score":30.983246,"_source":{"id":"971156","text":"SQL Server SQL\u5206\u9875\u67e5\u8be2","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        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SQL Server-聚焦sp_executesql执行动态SQL查询性能真的比exec好？ - 爱码网

SQL Server-聚焦sp_executesql执行动态SQL查询性能真的比exec好？

CreateMyself

前言

之前我们已经讨论过动态SQL查询呢？这里为何再来探讨一番呢？因为其中还是存在一定问题，如标题所言，很多面试题也好或者有些博客也好都在说在执行动态SQL查询时sp_executesql的性能比exec好，但是事实真是如此？下面我们来一探究竟。

探讨sp_executesql和exec执行动态SQL查询性能

 首先我们创建如下测试表。

CREATE TABLE dbo.TestDynamicSQL
    (
      Col1 INT PRIMARY KEY ,
      Col2 SMALLINT NOT NULL ,
      CreatedTime DATETIME DEFAULT GETDATE() ,
      OtherValue CHAR(10) DEFAULT 'Jeffcky'
    )
GO

接着再来插入数据，如下：

INSERT  dbo.TestDynamicSQL
        ( Col1,
          Col2
        )
        SELECT  number + 1 ,
                number
        FROM    master..spt_values
        WHERE   type = 'P'
        ORDER BY number

最终查询为如下测试数据：

接下来我们执行如下两个SQL查询语句，执行4次。

SELECT  *
FROM    dbo.TestDynamicSQL
WHERE   Col2 = 3
        AND Col1 = 4
GO
 
SELECT  *
FROM    dbo.TestDynamicSQL
WHERE   Col2 = 4
        AND Col1 = 5
GO

紧接着我们通过如下SQL语句来查询缓存计划。

SELECT  q.text ,
        cp.usecounts ,
        cp.objtype ,
        p.* ,
        q.* ,
        cp.plan_handle
FROM    sys.dm_exec_cached_plans cp
        CROSS APPLY sys.dm_exec_query_plan(cp.plan_handle) p
        CROSS APPLY sys.dm_exec_sql_text(cp.plan_handle) AS q
WHERE   cp.cacheobjtype = 'Compiled Plan'
        AND q.text LIKE '%dbo.test%'
        AND q.text NOT LIKE '%sys.dm_exec_cached_plans %'

由上图可知，我们看到存在两个查询计划且每个执行了4次，也就是说每一次查询都会重新生成一个新的计划。清除查询计划缓存，通过如下命令：

DBCC FREEPROCCACHE

我们继续往下走，我们接下来通过EXEC来执行动态SQL查询，如下，执行查询完毕后再来看看查询计划次数：

DECLARE @Col2 SMALLINT
DECLARE @Col1 INT
 
SELECT  @Col2 = 11 ,
        @Col1 = 12
 
DECLARE @SQL VARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = ' + CONVERT(VARCHAR(10), @Col2) + '
and Col1 = ' + CONVERT(VARCHAR(10), @Col1)
 
EXEC (@SQL)
GO
 
DECLARE @Col2 SMALLINT
DECLARE @Col1 INT
 
SELECT  @Col2 = 12 ,
        @Col1 = 13
 
DECLARE @SQL VARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = ' + CONVERT(VARCHAR(10), @Col2) + '
and Col1 = ' + CONVERT(VARCHAR(10), @Col1)
 
EXEC (@SQL)
GO

这个就不做过多解释，我们依然要清除查询计划缓存，我们再利用sp_executesql来查询，如下：

DECLARE @Col2 SMALLINT
DECLARE @Col1 INT
 
SELECT  @Col2 = 23 ,
        @Col1 = 24
 
DECLARE @SQL NVARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = ' + CONVERT(VARCHAR(10), @Col2) + '
and Col1 = ' + CONVERT(VARCHAR(10), @Col1)
 
EXEC sp_executesql @SQL
Go
 
 
DECLARE @Col2 SMALLINT
DECLARE @Col1 INT
 
SELECT  @Col2 = 22 ,
        @Col1 = 23
 
DECLARE @SQL NVARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = ' + CONVERT(VARCHAR(10), @Col2) + '
and Col1 = ' + CONVERT(VARCHAR(10), @Col1)
 
EXEC sp_executesql @SQL
GO

对比exec执行动态SQL查询得到的结果是一模一样，正如我所演示的，我们有两个计划，每个执行次数为4。不是说sp_executesql执行动态SQL查询会重用计划缓存么，这是因为我们没有正确使用sp_executesql所以导致SQL引擎无法重用计划。

当参数值改变为语句是唯一变化时，可以使用sp_executesql代替存储过程多次执行Transact-SQL语句。 因为Transact-SQL语句本身保持不变，只有参数值发生变化，因此SQL Server查询优化器可能会重用为第一次执行生成的执行计划。

以下是正确参数化的查询方式，我们在字符串里面有一些变量，在执行的时候，我们通过其他变量传递值给它。

DECLARE @Col2 SMALLINT ,
    @Col1 INT
SELECT  @Col2 = 3 ,
        @Col1 = 4
 
 
DECLARE @SQL NVARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = @InnerCol2 and Col1 = @InnerCol1' 
 
DECLARE @ParmDefinition NVARCHAR(500)
SET @ParmDefinition = N'@InnerCol2 smallint ,@InnerCol1 int'

 
EXEC sp_executesql @SQL, @ParmDefinition, @InnerCol2 = @Col2,
    @InnerCol1 = @Col1
GO
 
 
DECLARE @Col2 SMALLINT ,
    @Col1 INT
SELECT  @Col2 = 3 ,
        @Col1 = 4
 
 
DECLARE @SQL NVARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = @InnerCol2 and Col1 = @InnerCol1'
 
DECLARE @ParmDefinition NVARCHAR(500)
SET @ParmDefinition = N'@InnerCol2 smallint ,@InnerCol1 int'
 
 
EXEC sp_executesql @SQL, @ParmDefinition, @InnerCol2 = @Col2,
    @InnerCol1 = @Col1

GO

我们看到只有一个计数为8的计划，而不是像我们上述那样运行查询。 我们也可以只需要声明一次，然后我们只需要在执行之前更改参数的值，如下：

DECLARE @Col2 SMALLINT ,
    @Col1 INT
SELECT  @Col2 = 3 ,
        @Col1 = 4
 
 
DECLARE @SQL NVARCHAR(1000)
SELECT  @SQL = 'select * from dbo.TestDynamicSQL
where Col2 = @InnerCol2 and Col1 = @InnerCol1' 
 
DECLARE @ParmDefinition NVARCHAR(500)
SET @ParmDefinition = N'@InnerCol2 smallint ,@InnerCol1 int'
 
 
 
EXEC sp_executesql @SQL, @ParmDefinition, @InnerCol2 = @Col2,
    @InnerCol1 = @Col1
 
--change param values and run the same query
SELECT  @Col2 = 2 ,
        @Col1 = 3
EXEC sp_executesql @SQL, @ParmDefinition, @InnerCol2 = @Col2,
    @InnerCol1 = @Col1

最终查询计划缓存次数和上述正确方式一致。正确使用sp_executesql对于性能非常有利，而且使用sp_executesql还可以为我们提供一些EXEC无法实现的功能。比如如何得到一个表中的行数？ 利用EXEC我们需要使用一个临时表和填充，而用sp_executesql我们只需要使用一个输出变量。

SET STATISTICS IO ON
SET STATISTICS TIME ON
--EXEC (SQL)
DECLARE @Totalcount INT ,
    @SQL NVARCHAR(100)
 
 
CREATE TABLE #temp (Totalcount INT )
SELECT  @SQL = 'Insert into #temp Select Count(*) from dbo.TestDynamicSQL'
 
EXEC( @SQL)
 
SELECT  @Totalcount = Totalcount
FROM    #temp
 
SELECT  @Totalcount AS Totalcount
 
DROP TABLE #temp
GO
 

--sp_executesql
DECLARE @TableCount INT,
@SQL NVARCHAR(100)

SELECT @SQL = N'SELECT @InnerTableCount = COUNT(*) FROM  dbo.TestDynamicSQL'
 
EXEC SP_EXECUTESQL @SQL, N'@InnerTableCount INT OUTPUT', @TableCount OUTPUT
 
SELECT @TableCount
GO

当然除了EXEC无法实现的功能外，最重要的一点则是SP_EXECUTESQL能够防止SQL注入问题。 

总结 

执行SQL动态查询SP_EXECUTESQL比EXEC性能更好的存储过程能够被重用，但是存储过程能够被重用的前提则是正确使用参数，使用参数化查询否则SP_EXECUTESQL将不会提供任何性能益处。

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