mybatis 中 foreach 的性能问题及调优

1、mybatis中最初的sql语句

        SELECT
            参数1,
            参数2,
            参数3
        FROM
            表
        WHERE
            条件参数1 in
        <foreach item="item" index="index" collection="subDeptList" open="(" separator="," close=")">
            #{item}
        </foreach>
        AND
            条件参数2 in
        <foreach item="item" index="index" collection="mainList" open="(" separator="," close=")">
            #{item}
        </foreach>

 此时条件参数1传入的list的条数为96，参数2传入的list的条数为10。  速度非常慢  达到4.816s。  但是在数据库的图像化工具种仅仅用到了0.5s左右。

2、此时通过改变条件参数1传入的list的条数，来分别查看此时的速度（每个长度仅记录一次时间，不作为准确的时间，仅仅为了看出趋势）

list的长度为10条的时候，时间为 0.445s

list的长度为20条的时候，时间为 0.850s

list的长度为30条的时候，时间为 1.173s

list的长度为40条的时候，时间为 1.495s

list的长度为50条的时候，时间为 1.684s

list的长度为60条的时候，时间为 1.898s

list的长度为70条的时候，时间为 2.301s

list的长度为80条的时候，时间为 2.978s

list的长度为90条的时候，时间为 3.307s

可以看出趋势，随着·foreach的list 长度的增加，需要的查询速度越来越慢，而且变化幅度越来越大

3、换一种方向，我把控制台打印的语句直接粘贴出来

　　　　 SELECT 
            参数1, 
            参数2, 
            参数3 
        FROM 
            表
        WHERE 条件参数1 in (
            \'b7199b4521ee4c479019ed0865a80ce4\',\'9354cf88bbb148cab8aeeb23c67ad6f0\',\'9d5c27d4ff784fef9371f26fdfe11ae8\',\'40e7b20402d54068a5cdcfbb5cbf97f0\',
            \'450c8cd3883e4172878f55639f4b1d70\',\'afc8b17aca59457ebdb8a45f18c8a8d2\',\'b464f5bdb38b4bc3b8a450cf0b7265bb\',\'cd4e9baa264b47169b7e98a45f4b5594\',
            \'7f145cbc7d9943aba62d2e01f869b6d1\',\'9af8391daaa840b2a6cf3f0c9000c27f\',\'cf22f4d265f84b1b942ad87d3fbec6fb\',\'632592d99ae242b8a2b50e996dd4dbbe\',
            \'f42166af01824f1cb78acf592b2c470b\',\'abd220b906824ea9b1c3138aeca908bc\',\'a2125e0a650844a0bd2610dc6a0c13f8\',\'7ca58519d07840f0ba7c7b64bbb1fd37\',
            \'97a373910175403ab9a2029640d88a7e\',\'2211c6f1113c407c86eb0ea9347c5f56\',\'4ba7d0d13eb74432a2e1dbd16fc418d6\',\'091c55c1e4e4490bb88b911517641bbb\',
            \'94eecccd82a34386a246fc49154c1fb5\',\'fa5b608150cc42a2b1c8ccfae6220d93\',\'115357a5c5e743959eaa5d1b5cc71749\',\'6b49c6cd74314ea597638ae5ef38aae3\',
            \'d260edeea8bf4a0daef1db5d974015a9\',\'dafdcba9340b48ee828c44485ead3ea3\',\'37ae89b488c14450a45e7a51ea878f6f\',\'bbc871c4115946fe8866720152a91564\',
            \'05a37145d7d04d31a632865c6990c987\',\'7c5dc39150c54f3a8fc2e32265212da0\',\'91c1f99822b4467e875c3b449e365f3a\',\'a14a6313977b411c8c8a95fc4eadbf8f\',
            \'cad9d790d699475bb9668abc0c593b21\',\'ce636827ea9e46d2b579c30a3c4da5e4\',\'521857189d39443f82e5423f43a53f41\',\'5f3c05fd2c1c4dfc9cd023f41cfbce5a\',
            \'62d0670a43ed4f419371ad3f8a006e2a\',\'641614ed6f0447c1986dac30285866fc\',\'d371274e3c59439abc3a9fff59039800\',\'765396d6eee6438bbad563e1bc447999\',
            \'9cf3f7cb93a042cb82861f90c0eba0d2\',\'d454d2972e1348b4aea05e6bd244c19f\',\'70b59c4ea7b44a318c8dd76a5c14cfee\',\'7af08e9abb704662970dfb4c3664c523\',
            \'9c92d983fff4413b86f879726f3c7229\',\'f3ce6bfdff6243d8aa106e67f37cf322\',\'e326600d8cc34c5b83b1c749b55da7c5\',\'ad3d546d8e5840499f22e445cb6df565\',
            \'5f021a0ae54c475f9d2a1bdbe88545fd\',\'77eae694439c4260a1cc742c882fedbd\',\'13d5dd5736104940a2da7d0884b06ab6\',\'a67a3c9163d84eb3814483060c325daa\',
            \'c3a40e9cab314b53895eb173d365e902\',\'c51a45b35d2b4b16a599a6a42ebeed2e\',\'c6773f9065cd479bbbb15e39136cc66f\',\'2eecc946d98646ada45a9986bcfc982e\',
            \'012c7bde40dd4d91bce8ffed0cf0ef49\',\'d372e14809dd4398b263dd00e6e0195d\',\'31663a83209c4f209e1d92c87d368102\',\'22dbfa03311349f18f42a7ac587eae6b\',
            \'248eb63beb374fd299de945f3c2e55ec\',\'969df48756bb4b478f8da18d841d7e6a\',\'8e444853505647d9bc595599d5133ed8\',\'5a79dc964c5e49399c3940c5cc3d794b\',
            \'8b536e2b73d44b1396bcad32c1e8bc35\',\'9f63856e53a546389479c6a118faacd3\',\'44a4bd30d7d2476e8a654981059296eb\',\'d68157ccc54b430aa86358a792f95b78\',
            \'326895bc88584ab787284a027a26a3b0\',\'66b80dfcb69640f7864be20b363b0ef8\',\'fa374e968d6a4ce4bfb52390eb8dc63b\',\'c5d6ac93f5654412accd79fbaeb37dd4\',
            \'620a9c5bbe6d49d39869b835c1d920dd\',\'13aa75cf3441492783c8676c0b98af80\',\'36f17b9a7ccb43fea776b7410881574a\',\'9bf84574b7c84d76ae58dbc77b813df7\',
            \'3390551cb9e4447f983e8e91c0ac861f\',\'08831ce512b340998b3d88fd1349b7ce\',\'daef921b1a4644d788c3b9a6955a3708\',\'8e3996d95b0b44fe8cee26d5a9fac1a8\',
            \'3ea686b724d345349da560f679a32cb7\',\'2fa5d3e49fe444e5a074b2d38b1fb302\',\'227ffb219b3a4b888b46572517c04ca8\',\'7d166735360a4968b73c9b46a19a7553\',
            \'e11d53cbfc3f42aa8fbad1896087a53a\',\'942c68e3d2b04ab0858dd5ac2737e5d1\',\'936a48afa0ae4a95b086a91672dc72ad\',\'87a5e3393e7c498f854e6a2154d937f0\',
            \'f4f7f240d520443aa317384afabd8557\',\'8bfa71f4c265485e93e67e18626c5d54\',\'2fa00b7bbcc442b991b0873b8d52ce34\',\'3b246ad4c64245b7a4b117e2741f7a33\',
            \'bf75c25ddac14593b4a1830cb2e52205\',\'a2f0267f12ab425c80f1ed301069acff\',\'8cacd92c59184527ad879b6030cdf924\',\'fc7a32981f7c4d72b543490c7fd2f096\',
            \'3f63e529c8fa465482deeae64b64902e\',\'1e4bd28a8d92428d825150efa05e1e4d\',\'fc4aa68a71a24a9094a275b7c0ad04f4\',\'ee8cc90b3a7c4879b81df362e28e5a06\',
            \'2bd4b8eea6d746c8b4e71fb8442818b5\',\'984bfe6bde30480aa3fb0c95dbdb6ad1\',\'5394cdcf4e1c445aa87ace9d68a09503\',\'0b64614ff5844f35822b7a09801f7134\',
            \'3b0b5457bea34bd2900b69c5584e1da1\',\'a3d5d349a0f04fe285f4e4bd7b084c5b\',\'a9faa4dcfeeb48ed893c5d35295b28ec\',\'dd8e84c3a1f448348d6f064491ab672f\',
            \'387f630288034680ab4458b9efddec20\',\'2e54fc2ed9134bc7a6087202ce927501\',\'1cfeb275192b4f4ab999028c86141b59\',\'f9215a4896be43ea8cd53416849c683f\',
            \'ce4d2d50ff25454ebf1dd5b4c7aaa8f7\',\'ca69c010fd2742e588f4140faa5f5d4f\',\'f54e1336f10f4c1a872df43ed0a7973d\',\'261b7b165b9945818dd240ecd587d46d\',
            \'750c0ac49f164544bf778c3ad4bc6645\',\'feef142b83c043639cf61428bb7f5316\',\'39a618f6efc4410e9bfff188e94da92a\',\'1cc32d4937a140da94d84a75eeb7c633\',
            \'4b916c7b1d92471a8562108bf5d3b436\',\'1eb11d01bafd4979b868597d0a6c711c\',\'53e9a4418035457093839a238d7eacb0\',\'b864dc468e4046e3984ca790ba11b202\',
            \'7b3b44f7603a4d40b71a5acf414a756d\',\'f14fe49b064443cc92376550a803e812\',\'b686a7a3ed82414eb6a94811f5a10325\',\'8a3545602b9d45daa109942c63f970a0\',
            \'c7bee3ca4a05435f96deebdd287b08dc\',\'7bc6a9d428794522a9bbb8ae0b559bc3\',\'2a2eec7406614a15bc3e0ee8946330c0\',\'2925ceee913545358cfe69413ef13cc2\',
            \'bcf86a2b4072421c88f73f37c908df6a\',\'889244872d474efebdea19f4e7742605\',\'7b0c78e205a84f19a89d22b86fba65d4\',\'8c98af71cde040ec8bb8653b69211e2e\'
        )
        AND 条件参数2 in (
            \'11d9e18485314f9d99c2229959bd4c0d\',\'4ec6398ecd5b471b8601257e9275031b\',\'70ea9d1e272d4518988c814eb7ecbee2\',\'1d3a97af7af0448296183f3e70328ebd\',
            \'17a662b4f812410e976973cde59e5738\',\'5f7833c8442a436a93b068fc0a6866f1\',\'30901ad227cf41bb8f687d3f5d323ee6\',\'35445892e2814742b2d5b339574977da\',
            \'3c1e173895fd4c74a7282707004bd40f\',\'19a7a70db3b34269afdc14e5e495e77f\'
         )

此时执行的速度为0.304s，此时得出结论，应该为传递的参数 和 foreach的问题

4、此时修改代码，用$的方式，直接去先预加载这些传递过来的参数

        SELECT
            参数1,
            参数2,
            参数3
        FROM
            表
        WHERE
            条件参数1 in ${传递过来的拼接号的参数串1}
        AND
            条件参数2 in ${传递过来的拼接号的参数串2}

此时执行的速度为0.374s，已经能达到优化的功能，

此时得出结论，mybatis中的foreach的性能，会随着foreach中的list的长度的增大，而逐渐变慢

如果foreach里的参数过多的时候，建议直接通过$的方式 进行预加载。