数据库sql优化总结之1-百万级数据库优化方案+案例分析

项目背景

有三张百万级数据表

知识点表（ex_subject_point）9,316条数据

试题表（ex_question_junior）2,159,519条数据 有45个字段

知识点试题关系表（ex_question_r_knowledge）3,156,155条数据

测试数据库为：mysql （5.7）

 

1.对查询进行优化，要尽量避免全表扫描，首先应考虑在 where 及 order by 涉及的列上建立索引。

案例分析：

SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE ex_question_junior.GRADE_ID=15

执行时间：17.609s （多次执行，在17s左右徘徊）

优化后：给GRADE_ID字段添加索引后

执行时间为：11.377s（多次执行，在11s左右徘徊）

备注：我们一般在什么字段上建索引？

这是一个非常复杂的话题，需要对业务及数据充分分析后再能得出结果。主键及外键通常都要有索引，其它需要建索引的字段应满足以下条件：

　　a、字段出现在查询条件中，并且查询条件可以使用索引；

　　b、语句执行频率高，一天会有几千次以上；

　　c、通过字段条件可筛选的记录集很小，那数据筛选比例是多少才适合？

这个没有固定值，需要根据表数据量来评估，以下是经验公式，可用于快速评估：

小表(记录数小于10000行的表)：筛选比例<10%；

大表：(筛选返回记录数)<(表总记录数*单条记录长度)/10000/16

单条记录长度≈字段平均内容长度之和+字段数*2

以下是一些字段是否需要建B-TREE索引的经验分类：

2、应尽量避免在 where 子句中对字段进行 null 值判断，否则将导致引擎放弃使用索引而进行全表扫描

select id from t where num is null

最好不要给数据库留NULL，尽可能的使用 NOT NULL填充数据库.

备注、描述、评论之类的可以设置为 NULL，其他的，最好不要使用NULL。

不要以为 NULL 不需要空间，比如：char(100) 型，在字段建立时，空间就固定了， 不管是否插入值（NULL也包含在内），都是占用 100个字符的空间的，如果是varchar这样的变长字段， null 不占用空间。

可以在num上设置默认值0，确保表中num列没有null值，然后这样查询：

select id from t where num = 0

案例分析：

在mysql数据库中对字段进行null值判断，是不会放弃使用索引而进行全表扫描的。

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" alt="" />

SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE IS_USE is NULL

执行时间是：11.729s

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" alt="" />

SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE IS_USE =0

执行时间是12.253s

时间几乎一样。

3、应尽量避免在 where 子句中使用 != 或 <> 操作符，否则将引擎放弃使用索引而进行全表扫描。

案例分析：

在mysql数据库中where 子句中使用 != 或 <> 操作符，引擎不会放弃使用索引。

EXPLAIN
SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE ex_question_junior.GRADE_ID !=15

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Acu1x/ifsj+fM6rZ9+rtdPnP+UqM7THveEeHn/uXj78beqfrPt27vGYx8DAHgWp89c7ssEMpNcfu625fL94f2+ep9LQucllO1rEAbH/QHd1+KjHGDGCWCVWLbrw4A6GkSG9ckxwmAwGvym67/2koSp/cXfF+9hwJ9ZLq4fb2Ui+fFD3D/D/dEkl+X7qf5d71P36XCsdr9DdO6nettje1/q/ugdp42J88+NcPxzkstDZJ9FZYTrGTguAMCzuFhy2Y2h5DI49fU4cCsHzGFB9f+fy8FzmhzOSy7T/frrm2WdweLU/pPxHvarilNJZo7CuZrl6cxrZpA/GF/L5K6dQQp10cxGlddaDahLbf20s0RpeUeur4p6Zqz1pZola+ohuv5Yrz0a2cF59/jlsePEpVr2Uzmwr/5XOjGxeI/KFsTXMFU/s86/oHwh4nNWM2Thzdwyhvqf6JPH/tss6/Tvdpu2//XK0LmfQsTHPP7/zPujid51tjFx/rmR2ycsG9I7fq5uQmTqsw0AgGdx4eTys9ht24/FHmcxuxHMfQ0Og+fqtRwAl/9/6QzmcgPEeBCYrM8MfpNB53udqMXJ0dT+U/FeJiZJshaSuTKBO74vy1MlhZ3/x/uMRLjeYyL6tZp9iq8zXH9yvM4geer66vr5+ThTHAb7nXqYM3OZ1HMU6fWXUSW7xwS3qv9w/GabUL7sIH9OZBKEqfqZe/5zy1dFqNOy3UO/fgnblttUr/E2uciUpxvJdWX6d/3NibYPhFnPzLV1k6doWVU/rU6/OCWG6m/q/HNj8PhzY6iuq3s2EvUVAIBncZ2Zy88yyXy94MxlMxsSEpqQ4FQD9TC7Ew3ywqBxKjmo39fHOmwXrT8Kx0oHkFP7j0Z34HnQScbKZKLe7pQZyzLC8bvX1Fk2Wj+zri+Uu1lcqj6S2LnGs5PLcP5MkhB/PHP0+k+NzL5Tx597/nPLV8W5ZUr2K9upaaNKLvnL9O/qGNE1hmvrlncquayv4Yz7I4ps/YWYOP/cyB0/rZtU71pCPeWurxtRmwMAPIurfSz2189dsd3usuuCua9BNZNSJjofPx1/QU+YwYwHeWHZVHIwNiiM11dJbCdRmtp/POYNuKvZwDBzVc0qnXCuTiKZWzZePycmBO9fy+OV19rZR3J5fvmqOLdMM+uvPXauf7cfy03Exyz36SZyyTFz5T4jBo8zcf6bxew2Ot5TAADP4mLJ5W67LV737fLPYv+6KTaZj8YGp76GAVqYrTwMiMMAr1weD/bDQHMqOegOCuNkqLs+vI8Hs1P7T0UY6IdZ19y6ENX5wvGqZCAMTDOzJiORfuzya3W+7sdi2+O9/FAmI2X9xcefur76Y5RR/YT67Qz242sIyWf4razJRyur5f16DJFefxmZj8VeO7kcq5+55z+3fFVMlqn5mePujHcZ1fE735A4/LbY8v/d6wrvj/07cy3Nx2QP5ymvLUnuqusfvn9CnHJ/tDFUf1Pnv1kMtFGo//j+eYvqFwDgWcxOLqtksfkzI4eIZyabj8K268LPXOb+FEmIYO5rUA3WwszKIVkqB5bRR0ergXKjSgDCQLQRBoLx+lQzOI22P54jDK7r95P7z4om4WuFwWg5+AwD+qnrzx+vG/XP0dVCIlQnDIf11WC8WR0G5WHmsXQ8/vD1hfUhUfhI1pfHiJOlMqqEs1mdrg/tlRPXX3n90fHDrGu77jL1E0W4zu5+I/Uzff5l5RvaP0lmk+3i47aRHj/56Gt0vb3+/X/+77HNDvdUfD3lsv9WJ9uJqH0vcX+MzpyGmdlm0UGm/82J9p7OrRuL7PUlx+m0b/QLsQAAnsXpM5cLIzj19TiAE/MjJEunD6KfIUIydFZSKsQZAQDwLG6eXIYI5r4GuQGbGI5klkWCWUY6M9j/MytCXC8AAJ6FmUshhLhiAAA8CzOX9x65nzdLzP+5tocM9XPfoX2acgIAPL5VzFwCAABw31YxcwkAAMB9M3MJAADAYmYuAQAAWGx2cvn5uS/2u9diu90U291ndps69sXrZlNsXveZdfMSyu4rAAAA9+30mct9mWAOJpefxW67LXb7XbEdSC5DBHNfAQAAuH8XTS73r9vidV/+/3M4uQxOfQUAAOC+XSy5/NxtjwnlSHIZIpj7CgAAwP27WHK5f90Um/CzllHktgtOfQUAAOC+XfhnLpswcwkAAPBUbp5cBqe+AgAAcN9mJ5e5j71utrvR7YaS0GDuKwAAAPfv9JnLhRGc+goAAMB9u3lyGSKY+woAAMD9M3MJAADAYmYuAQAAWMzMJQAAAIuZuQQAAGAxM5cAAAAsZuYSAACAxWYnl5+f+2K/ey22202x3X32t/ncFdvNptgc4rXYd7cpIzj1FQAAgPt2+szlvkwwh5LL131/eSaCua8AAADcv5snl8GprwAAANy3yyaX8cdit6/F/rOzTRPB3FcAAADu3+WSy24MzGQGp74CAABw366XXP66L163u8zyeQll+woAAMD9u1hyudtuy+XHmcr9bltszFwCAAA8hdnJ5f41+nnKw89VxjOTn8XutUwom3Xb113xGe0fRzD3FQAAgPt3+szlwghOfQUAAOC+3Ty5DBHMfQUAAOD+mbkEAABgMTOXAAAALGbmEgAAgMXMXAIAALCYmUsAAAAWM3MJAADAYrOTy8/PfbHfvRbb7abY7j6z24T43O+qbTabMra74rOzPjj1FQAAgPt2+szlvkwwB5LLzzL5fN3ty0S0vy6OYO4rAAAA9+9yyeXnrnh93feXdyI49RUAAID7drnkMix/LRPMw0diX4v9wAxmMPcVAACA+3ex5PJzt62SyuO6z2K38zOXAAAAz+CyyeV2lyzbv26LXWb2Mpj7CgAAwP274C/0+Sx2203xum/Wfe6LV78tFgAA4CnMTi73r83PUsbRmamsE8p2nZ+5BAAAeBanz1wujODUVwAAAO7bzZPLEMHcVwAAAO6fmUsAAAAWM3MJAADAYmYuAQAAWMzMJQAAAIuZuQQAAGAxM5cAAAAsZuYSAACAxcxcAgAAsJiZSwAAABYzcwkAAMBiZi4BAABYzMwlAAAAi5m5BAAAYDEzlwAAACxm5hIAAIDFzFwCAACwmJlLAAAAFjNzCQAAwGJmLgEAAFjMzCUAAACLmbkEAABgMTOXAAAALGbmEgAAgMXMXAIAALCYmUsAAAAWM3MJAADAYmYuAQAAWMzMJQAAAIuZuQQAAGAxM5cAAAAsZuYSAACAxcxcAgAAsJiZSwAAABYzcwkAAMBiZi4BAABYzMwlAAAAi5m5BAAAYDEzlwAAACxm5hIAAIDFzFwCAACwmJlLAAAAFjNzCQAAwGJmLgEAAFjMzCUAAACLmbkEAABgMTOXAAAALGbmEgAAgMXMXAIAALCYmUsAAAAWM3MJAADAYmYuAQAAWMzMJQAAAIuZuQQAAGAxM5cAAAAsZuYSAACAxcxcAgAAsJiZSwAAABYzcwkAAMBiZi4BAABYzMwlAAAAi5m5BAAAYDEzlwAAACxm5hIAAIDFzFwCAACwmJlLAAAAFjNzCQAAwGJmLgEAAFjMzCUAAACLmbkEAABgMTOXAAAALGbmEgAAgMXMXAIAALCYmUsAAAAWM3MJAADAYmYuAQAAWMzMJQAAAIuZuQQAAGAxM5cAAAAsZuYSAACAxcxcAgAAsJiZSwAAABYzcwkAAMBiZi4BAABYzMwlAAAAi5m5BAAAYDEzlwAAACxm5hIAAIDFzFwCAACwmJlLAAAAFjNzCQAAwGJmLgEAAFjMzCUAAACLbZpXAAAAONs3mbkUQgghhBBCCPFYIbkUQgghhBBCCLE4JJdCCCGEEEIIIRbHqpPLf/zHf3yoyJVRCCGEEEIIIdYQq08uH4XkUgghhBBCCLHmqJLLePZsbfEocmUT143uzSCEEEIIIYQ4Pw7JZXfFGiJc96NYcxvklt97SC6FEEIIIYS4bEgu74Qk7bYhuRRCCCGEEOKyIbm8E5K024bkUgghhBBCiMvGEySXH8Xb5q38N/Xl/aV46y4sheWbzWY0Xt6/NFtfjiTttiG5FEIIIYQQ4rJx3eRy/1psd5/5dReIOcllSBZzyeBYchlvP/W+FhLYZUmnJO22IbkUQgghhBDisjEvuSyTxM3rPn2/3RWf8Tbxus5MXzde95n9zojp5DKetfxSvL/kr6eKl/dyizp5zK6P4phEtsd8K97erpRctnX/uSu2h2t4LV5fj9cTIiTx+3LZoW6T7Tsx1HZnxKwkLVxL3H9+/Sx229diH28zFFf6BoXkUgghhBBCiMvGrORy/7otk5ltPlFpo01YuoloJ5IEaGFMJZfH2cmQBL4Uce53XJeamqnsvm993CK5rOp4X7yWyWWbmIW22X2224d1zfvD9u26aJt7SS6rBHg8yfzcbSWXQgghhBBCrCCmk8vBJGUg7mjmMnxUtT5nnViGxLB7LW20iebYNm3cKrkMifjhvNsyyTpcQ5mQlfUc6jFNLstoE7k7SC5DYnhIjHPJZfh/nGDO6DttLO1DkkshhBBCCCEuGxPJZUgC6o9ctv/PDfSrZKfd545mLoMv7++9X+ZziqGZyq5rzVwmCVqVFNYzl7tyeTa5bOMOksvDTOp+JLkci6oM4SPAl7veNiSXQgghhBBCXDZGk8sqsSmTx5M+lnhHM5fpz1i+FR9f3ouX6DqSdeX2c2YtD9H5TO11kstjQv+66yaXZXyOJGnVjGDnmtu4WXLZfKz19bWM3cg3JzJ9LJ7RHEyUzw/JpRBCCCGEEJeN0eRyXyYF4eOXa565TITksveDluHnMft/qqRe/lK8vb2U+7wVbxOJ41WSyzKpet3WM5fJR2TL+u7+Qp9jnTczk21C1rbHIUG75cxlE+HcSZ9oZjRzM65tPyuvcR++udFeazhGWc5L/fyl5FIIIYQQQojLxvTPXB6Sy8y6XNzRzGUlmq18e5+TXLa/Afb4c5ohaWxnNXO/BCi4RnL5GWYny0iTw3ibzMxlt73a99n9l8d0khYSybI+4+RyIFGsE+g06ez+Qp+zZtMzIbkUQgghhBDisnFScpnOnsUx8NHMK8dUcln9Qp/mT4xUJj4WGxLENqlsdX/mst6mjBt8LHa/K5PBkKzHyWWcPIZ1Vd3XH5XdZ5LNw0zxN0kumxnKzs9c1tc08pHeQ7Tlyq1bFpJLIYQQQgghLhsnJpe5jzLGCUD7//K1SmTaj9JG+10wyZlKLntO+lhsbe4v9FlqsA06yeWuSfBf92UdVz/HGNV3nHiGiOu6+/94JnFBjPWdJLFtzxfK015HW7bePqHftH0m9Klj/wnrl85ahpBcCiGEEEIIcdm4aHJ5SCYOyWW67eEjjnGisyBOTi7v2GRyGV6rpLJcFuovmams63sXfkY23m8oqb9RcnmI9nyH6z6uC32mTTCrj7xW/4+TyzaOy47bxetPC8mlEEIIIYQQl40rfSy2nbGc2m5ZPFVyeVh2TObD+7ZNktm8KrHs1nXY79gWl/y519zyJKqkcrj94wQzWRZdbxUX+IZEG5JLIYQQQgghLhsX/ljsbeMpkss7D9cthBBCCCGECDGdXN5xSC6/fbhuIYQQQgghRAjJ5Z2QpN02JJdCCCGEEEJcNiSXd0KSdtuQXAohhBBCCHHZkFzeCUnabUNyKYQQQgghxGVjEwbZa45HkSubEEIIIYQQQqwlNk1uAwAAAGeTXAIAALCY5BIAAIDFkuTyz//8z4UQQgghhBBCiJOjl1ye4p/+6Z+Kf/zf/+/uI1wnt6fen4N2fjzalDV4pH7qnpu25jrSvss8W/2tvbySS65GvT8H7fx4tClr8Ej91D03bc11pH2Xebb6W3t5JZdcjXp/Dtr58WhT1uCR+ql7btqa60j7LvNs9bf28kouuRr1/hy08+PRpqzBI/VT99y0NdeR9l3m2epv7eWVXHI16v05aOfHo01Zg0fqp+65aWuuI+27zLPV39rLe7nk8m/+tPhPmz8s/uRv0sTuED/8cbH5gz8t/mdu3ZVjeSN9FG+bt/JfTnF+vX8pvv9uU7wNVrj2uCfP9tB/Bt+0Tb98X3y3+a74/kv15orPgqljc+/Sfrru9rx9Wdb3dXT5c6mu183m9v3E18llnq3+1l5eyeUskplznF/v1xxQcmnP9tB/Bt+0TSWXzJT203W35+3L8nzJ5Zfvvys236iD+Dq5TO7+CN8kOMZjjQnX3l9u97HYp04u53yheLyBTu5hMK98U9tKLu/J+e3MvbqfL2zXfBboq2v3SM+e25fl+ZLLj7dN8V39Xaubu59n6jotvz/W9XxYe3+RXM4iuTzH+Q+DqW0ll/dk+UOfe3M/X9iu+SzQV9fukZ49ty+L5PKW7ueZuk7L7491PR/W3l8u/LHYPy7+7JDU/ffij5Ip6zLuJLmsPhpxuK744RoetsfrPT6Eug/hoe2C7rrvk/eb774vu3hXus/mu7firbwJkuN+vDX7tjdIuk96w4xd3+0c671bvqYOqo+/HZcfyzBVxrB8bntwbcPt/Bj9+Bmlz8zT26r7EaWhZ252efVcaLe55rOgPXb7tnkeHRbkjlXvk+/T4RBDX1u4hnw/bd8ub89bun1Z5t47Yfl3xfffl8fqrbut0efSoZz5coTEsl32Le7Nc649vs40Ma63O3aHx38Gjd4fkbr8ab1t3sqxyKFOyqjqaqANBselt5WWd32ulFzWieUf/XBM8P7sP5cNdQ/JZTJwiYUO1v6cTxB33rCu3Wdqu9yDd/hGOOps0/miEG6Qel29XfLQCNvOur7bGn8YlO/fjuVLyzCnjPdX3mc12s4P0I+fUa5Nx9uq89yL1w89c2ctn3Pu+P+n9JlofXXMeN+RY4Vtc3168GsL1zL47LlEe97Y7csy994J68p7sD1Q1c/jbW9n8rk0Wo66Pu4pMe5f+/BztEqajgUpvvvuu8O2h3I98DMoX39RRB39UB/J/ZD2hXwblMsGx6W3lZZ3fa6TXOY+Ans3H4ttHpTdh2PViaKO2kR984Z9mg42tl3SkWPdTp3T3SZ+SEbnzx4rWjZajtvKPQy6dZD/LttEGeP6uKPyPqvxdl5/P35G0/dup616z714n9Duof26A9KB5ZnkcvDccZ86uc80x3kL+7Xna4wea6hPD5WTa8n204u1523dvizR+tnHDMK1fZs+PvlcmngG3Fty2bv2sedo9Fz8eAv1X7ZLtX3cHqGtQpm/Tftc0/TXpFiuHrr7DB/jHmZ/0/KuzxMml626Yx06X/bGbnUewkPbDa6buhGC/jahg4cHYfIdq+yxomWj5bit0YdB9aCMHvRLBpR3Ut5nNfXQX3s/fkZTbTrdVmF9d4BT79Mf+HSW3+xZ0Jw3zAB0r2niWPk+3RoqJ5eW66eXb8/buH1Z5t47Ybv4GsK1fZu+PflcmqibdSaXbV23/y/bo9quef9RPi+z+z3WM2j6a1Is9Nlu+bv7ZI4xOi69rbS863Ojj8X+r+JP/qBs6Dv5WOz32c5Vd8a4o328tZ0qeghPbhev+yi+rzrp1I0QDHT06ufW+jdI/EWj+iIy6/pua/Rh0HmQpmWYU8b7K++zmnzor7wfP6Ncm061VTJoi+/voWfuyPJucnmdZ0H3nPG+E8fK9emh8nA1g8+eS7Tnjd2+LHPvnbCu++z+NvU0+bVmtBzh/3ecXDbXPvgcLYVnX/g4bPs8bN/HydCjPoOm6++obefqa8Wh/rr7ZI4xOi69rbS863O9X+gTZirLG6WOPyz+5L/ez8xl6HiHa4t7VvMQb9cdV8UP4dLgdqVk3XGfupOWy6KO25XbprrWZJ/mhigfmO35e51/7PpuqFvvafnqcrTX+F1Znt5sxWAZT2gPrm68nWtr7sfPKG3TGW1V3ZPHtuquH3rmZpdX7d7uf81nQXPswzZtGZrjTRyr36eHy8l1ZPvpBdvzlm5flrn3TthuLcllaaRuQr3cb3IZtO3cRtQ+QVO2w37V+7QtHvUZlKu/Yz2FqOsh7fvNdk095MagaRWlx03HpbeVlnd9Lpdc3nGsuZH6D8Ohh9L9WfvNwTxz2nnN/fgZpW2qrXK+5UCV2iW/xnzr9nykslzLmscUa772e/Bs9bf28kou71n1Xanud00kl9yXyXZeeT9+RmmbaquebJ/m1i72NeYO2vORynItax5TrPna78Gz1d/ayyu5vLnuxx7q6A7cwncec8vXNNDzMH0OY+38CP34GaVtuva2mvfMnWu4T3Nrl/gacy/teb2yXLb/f0trHlOs+drvwbPV39rLK7nkatT7c9DOj0ebsgaP1E/dc9PWXEfad5lnq7+1l1dyydWo9+egnR+PNmUNHqmfuuemrbmOtO8yz1Z/ay+v5JKrUe/PQTs/Hm3KGjxSP3XPTVtzHWnfZZ6t/tZe3l5yGQokhBBCCCGEEOL2sWa95DI38zcUayn8r7/+2vyPW1Lvz0E7Px5tyho8Uj91z01bcx1p32Werf7WXl7JJVej3p+Ddn482pQ1eKR+6p6btuY60r7LPFv9rb28kkuuRr0/B+38eLQpa/BI/dQ9N23NdaR9l3m2+lt7eSWXXI16fw7a+fFoU9bgkfqpe27amutI+y7zbPW39vJKLrka9f4ctPPj0aaswSP1U/fctDXXkfZd5tnqb+3lHU0uN5tN8r4bkkvGPGS9f3kvXjYvxfuX5v0lXeLY17y+Ae6vx6NNWYNH6qfuuWnXr6Nfi8+//OfiX3r/X077LnOx+vsGY6Sjj+Jt5rnX3l8mk8uxBDOfXIbK2xQv36blsvqNVF9jW763j2Zx6eMtvvYvxftL2GaoMzTHeXkvtwza7XPHrtfF56r199ls3sojr99DPkwllz2+aD6efJt2n1XxcyrzHDs8F2PNdr0H4Zzn4OnPyvzzfP7+rdlfFz7eRr8enFSmcKzeOZqvOf0vJE/pUfpp0CtL9Sxv97/tM/1e5dr7t6//UPzF34Xl/1F8+eu/Lf7iL/+h+PLv9bqDf/vn4i/++l+L35q3w/LJ5b/83d8Wf/X1P6ql58r31aHxcjxG7bT9rH7RP+6X95dmnyaavt1b3kTa9Yeu83bS+gvXkyl7qJvs/Rz5BmOko4Hrzsj3l/WYlVyGiJe3kSaX7QP1rXhLvhB/e/1O2U36jg/+3CDi5eUlW57DTZkMJqKOk3Ti+lj9McHQ8vVb+81Re9z2uZTHaGdivTZtBjS9AUcnkYrXh2dpb3BeffEvn6cDA/Jk8yq5ipedfi/mnufj58jLHuctTiQbmeRySZmqOozOUX3N6Z7ziT1KPw1GxylJv3pevfb+938t/uqQNNbJ5effZRLJhcllfexM0nqC9NrrPpIfL9frDsuq/tX2w3n9oh2bxsdNn2EjqnuoPd/Ydd5W//44M7n8pgauO6PX11dmdnIZIl4XYuhjsbM78Y0kjTTR+bKDiPf4ZmuFdWUneY9v7mZZdPDj8ZpjpQcpDS1fv7XfHLXHbZ9LeYx2Jpa26Zx7ILNNGPh0dgqDnvA8DM/FdNXAOTIDnfHrSGWf56PnyMsfp349Li8lg71LlCkaTFb7zRuYPItH6adBUpZe0hCOqe27X2vCjOLnvzVv2uTy3+rXZKZxcXJZCseoZkjPM/R1Mn22lHrPo6g/zekXYf9ym/fOcft9OW9ou9513lhaf5LLe3dSctlNMFeZXMZfrDPSaz/e1L0ytTd5bzCRdpzjftEDIjG0fP36N0dd921fauuz/i7b8WEa6qz3neREepwq2jboPph7D+r8NQTtd/vqCPt0zhPOMXG8uBz1urI/hG9ANOuTPtQVH3u0HCPHPen62r7XbHPmQzlt54FjVtd1vI5j807VUXz9zXbJdablG61fZkvaNLTdZN/oPsfq92l7hGXN8zE7SMo9B+PlQ9sMG3qep6aPO3icpl8f9u19PZg63/S5q2OWff+l3E7/Tj1KPw2Sssw+73NJv9Z0ZxPb5LL8b5jR/Mso8YyTy2pdlDQm70eSy2SW9HTptR9lx5adhj5sM9kvju9zz6z262Q6Doj0jn/Uu84bS+uvGTd0L6fzDOiP6aqF88ZSlanxx1FaP/V+h3Y51Gv/fGlbH/8/1F/W4uTkMsS6k8tSaOiqLP0bLHdDVm1f7dNu31l+6GxhedThq07cvo/2SXRv+jL6G63S+MMgrY9DvY883Gqdm7YU9j3skzw4SrkHSe4auvsddNqtd7xOX0/6Sb3+0J5Jf8iIj929nsx5s8fNbDd8fW3fi85zhrSdc8csl71FbTq7jup1h7pvj33oH2H9cJ/ifEmbdu/Jqo1CG8ft3LZ7G5l+nhxnbtvFy7vnKGOisQef54mh5Udjx0m+OZaUcc756v9PlSl5xnHwKP00SMrSXPtht3BN8fsnlX6t6SR/cXJZqn4Ws11/ieSy9/406bUfpc+W0PTl86TT0IdtJvpFfKzucWPVOXrPk6G+XRs73i2k9de9LxuhftpyVXUVj0MayfJ6jHHe+COVtFvZLvGP0x3rbup8L9XiYKi/rMUTzlweHb6rEd1N6bX3v2BU6+IvPskXou4XlVO/KD2WpN6bh2A3jnXd3HS5B0Ysqe9GvKz7QInfj17D0Pk77dM9Xu9BE29fPyzSPjBSvvjYY+UYO+5J19cp25nS+2v4mIf7rYoZZZlq69H2ZInevdvrR0Fou7Yd03YPz9HBAVJj+Fkbi/rD4DbDTj9H3vhx6vdVeZO6mnO+oW0i1THfirdyO3079Sj9NOiNU+LnW1mu97fxPvoMkjrqzSSmyWX7vvoo60WSy+5M6Wl67dvo9req3cf65FC/6PT/3nET3a+7pe6Yo2P8eNeX1l/m+oNQhkMdhG1CPY2Vs3uc6D7OPU9yy1rRcT+qNimPXW0bPxsmzldeb2uov6zF8/3MZU/dAeMvNsdr73yRaDpW8ln2pLPFnairc6yDoeXrl9T72E1ZGXgQdOWOEy/rPiDj95PXENTtcbyOTvtMHi/uAyMPkpz42GPlGDvuSdfXKduZ0vsrc8zqmqJ7Zm5Zptp6VntyjllfyKvlbTt22z2s67/vfk3pzij1+mLSxqf319HneWtGP5o8TtPH01/yc4kyRXVfnSPXDs/rUfppMD1Oaa/heaV1lEv+4uSyVCWO5bL4l/ycnVx2359mqH174+Xe82isP7X9ot6m32/LyD7bwn7pvTI1bp9af21p/c25D1tt3cTP0fZe6tZD2LZ5nztW9vitdt/ymNU2zfuP8nyHfabP1xp/Hty/2cllvLyN1f5Cn6RHpo09PogI24b6iB7ySWeLOkpP91itoeXrl94cdd3F5fwoB2Lt27be8x/XiHWPU9ffYZ/OAKyeLYsfJAPXUO733jlmvV2nfXoPpk5fT/pDWD/wIMmJjz1ZjoHjnnR9nbKdafKh33kgzy5Lc/3HY9XHTus3PVfcpzhf9wtb3WZxOwWh/tv67rd7ci+HPnDYthW330C/6fWNzjYTxp/npd458iaPU6rrKO6fS8tUr4tnMZI65WH6adAtS+zexlTfSlpHIdn7h/zPXEbqj8f+bSe5PO6XfHx2LLnsJqUnGmrfftt2+k/oXwP3/Fi/6D6zvkSbhXXpMUMfH38Ofus+mL/X43u1vk8P1zg0puuNkbr3bvs+vu+D+hhjz99wTeHjsO0zu31/rLfp87XGngdrMCu5jJfFsdaZy7pT1mULEX8R6N6Q3S8S1b7pDlFniztKV9Mxo/PW+2WWT9zka9G7Oaqb+ljOthrTB11TH3Edd1VfzNvjlHXV+SHruH1fymTj+CApDVxDUF1Huy5acTheOEfyYArqB8Jhv966oQdJRufYw+UYOe5J11fX9VhVz5G2c+6YTZueWpbqbdxe5fLuD9SPtCfny35h69R1iLFnZbss3EvVvZVpnOPytI9UEbdzJbNN0nf6cs/zZP/eOfJyx+kXpzn+4ZjLylQ/j+L7NWi2z9TlM3qUfhrknqPt/sfrf27d9s7/ttjm7UHz8djoI7SHhLOMv/q7f543c3mr3xYbJH24/zV7Tr/IPbPa/Xp9tjpf91mTyl7nDeXqr7ov2zJl6iNZ397XSVkXjj+6mu0Pj5DqfXz86fO1hvrLWkwml/H7bgwll/dm7Y20Vjer95Hv7K1K8tBbj5veX4/S1nfOM5M1eKR+6p6b1qujMJuY/NzltSz7ectA+y5zF/V3w/HH2vvLaHI5FZJLxtys3h8k4ahmKldYjuu1c/iuXpxs17Ow3/K7p8/CM5M1eKR+6p6blqujahZywYziHGGGNPm7mWfQvsvcvv6+7fhj7f1FcsnVLKv3+kY+fKShicwnllaYXObL1v8I3Dpc9f5KPpYisbyVdT0zT3hWjLrUcbiVR+inLeOUaWuuI+27zDepv284/lh7f5FccjXq/Tlo58ejTVmDR+qn7rlpa64j7bvMs9Xf2ssrueRq1Ptz0M6PR5uyBo/UT91z09ZcR9p3mWerv7WXV3LJ1aj356CdH482ZQ0eqZ+656atuY607zLPVn9rL28vuQwJ4ykRKkAIIYQQQgghxPJYs15yCQAAAKeSXAIAALCY5BIAAIDFJJcAAAAsJrkEAABgMcklAAAAi0kuAQAAWExyCQAAwGKSSwAAABaTXAIAALCY5BIAAIDFJJcAAAAsJrkEAABgMcklAAAAi0kuAQAAWExyCQAAwGKSSwAAABaTXAIAALCY5BIAAIDFJJcAAAAsJrkEAABgMcklAAAAi0kuAQAAWExyCQAAwGKSSwAAABaTXAIAALCY5BIAAIDFJJcAAAAsJrkEAABgMcklAAAAi0kuAQAAWExyCQAAwGKSSwAAABaTXAIAALCY5BIAAIDFJJcAAAAsJrkEAABgMcklAAAAi0kuAQAAWExyCQAAwGKSSwAAABaTXAIAALCY5BIAAICFiuL/A0pcsaAcWndkAAAAAElFTkSuQmCCAA==" 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执行时间是：17.579s

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" alt="" />

执行时间是：16.966s

4.应尽量避免在 where 子句中使用 or 来连接条件，如果一个字段有索引，一个字段没有索引，将导致引擎放弃使用索引而进行全表扫描

案例分析：

GRADE_ID字段有索引，QUESTION_TYPE没索引

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" alt="" />

执行时间是：11.661s

优化方案：

通过union all 方式，把有索引字段和非索引字段分开。索引字段就有效果了

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GrOZ32KR999Nu7SeF0BM1uf+z4dPs2edSkMk4+7DFoIqffrtitUUsmMmLKRx+fnagN1c/U/d9bPueRMgEAAODtLDOi1nzc0X90Tv9GLfX1/Bpq6qMn/WPZbhdBf1c62O08Wc5z65jX0k9ul2uTNvlHcqZ2uttuNC2f3lhN8iQruJCOuyY6bnNyIH66SwbkQPzr6R33xJeJBJlpnfy5+ZoQ6ohYsP388SkdLTsF8/sffXTJW3K+7NtPD8KOwI1/mYjG/fVjpBKigfoZ3/9j5cut7/YFAAAAZDzno4+ZUHMfkaKJh0nU0MqNegEAAABbsmqipqGmPqLPf9W7C5I1EY5Y9X96AAAAANgeRtQAAAAAoDCMqL2SfmOgGQ3qh/07qDdE/QAAAOBNMaIGAAAAAIVhRA0AAAAACsOIGgAAAAAUhhE1AAAAACjMwonaV3XUL3k4fiXmTUvO4seT+fFp/Xms26V77b6dXqb5H6iuf7C4m6+v7fJB+B/DNsv7OPgfxBaj62My/WmBl/7Gmftykud9Acnrylf/4Pah+VFv/YkCfV3/Xnf3A94+wp8wiH6QO/7Jh9QXupgfPLc/GB4uE21nQPCTEz78L4KP7H+K21+u1fU3p+rwMyn7bxIr/kX28Xey3Tb4khoAAPB6CyZq39X587M6f52rz0yipqGmPjrSY0r1+aQfGiRTvl/nyHPpj7d0frANWfFgEq14vvRtg9dj60OSaO08N8+xrqtcDCebudxucn00iZq+DH4E/JZOKDUhkkau2+rlmprs2QvMLdud796PjDfbmiv7Y+Uj+5/s/0iylkvUfkHrBQAAZVksUfs6flbHL3n+nU/U1NxHlxQ1SZcbXfPPo0RraqJm1/PsfMfsU42tP+p2lfWa0QCJYERDO53NdFeGdgQk0WHOukmi5Ec2tNPejJLIQfsRD18/fvQi7FgPHJ9Tj9h083X0pqkQc/w2wvPRjeokO+Lx9mXbfnV//IeTdLKb+W5EpZk/xcWUzW3LHMNY/Uza/wPlU3af10uzn6ll1Pr35yKjlwDpOsEJqpfx7a9XhjhREnab3XNtR8PHMqR3nN7A/vXR12scvW2RqAEAgA1ZJFH7Pn92ydlAoqahpj460q9yo1fNoyZKN30eJVLSLwvC9heD+WOJmmxb+n5BojG2/piLdPKD7qEmRpIMtbTj7BKs6PlEmqR1fVIdMZHOq6kA7cwG24s642PHV3eKr+0yN+04Rx3yKSNquY54ePzCJY5dsug647r9ZoKWL9mhnyKRiIzVz9T931s+R+tUzrsmUNq+dRn3OCZRnlhwXLJRPZ6wfek03wZ0NC5xbHGDNNNc/cjF4SJqF3Pk6m9s/5MNJWr2o48/k3P9l2YeAADAiyySqH0dm06aic/zd285NfdRueRM+mTaB5S+XHWRR9sf1EQq6LM1y3o2EdNtxYJETCLu/42tP8glXv366f1YsxSwXm7OSJrQ7dvCqmiadoDD+jGd+0nHp4lFN8997Cw6xrsTNd1/osNtP4I3ePxzJdYd2/7U/d9bPufeMgXryXmy57DZrx5XO839J0C0H92GOUY9tri8Y4lafQx1AnqvZP2pgf2HZQujt61cohZjhA0AABRg4S8TkVh6RE3oRx5PpzqBkn6vG1mz/UGdFvTj5Hk8f6j/aOe7hFC2bzc3tv6waZ1XN0qlIyputGNCZ9KTg3soUZvbub7px83kWKN1SNTuL59zb5km1p/ftraz+O+7Br/MQ8k6caIUbDNV7jtktzOy/8mmJmp6TfxsxjUBAADwBKsmamruo5I+WZc8yT+HaNRL+qpRRzpMrHR+nIvoNv0q8Xx9PfhlJMKuP0Y7zfrRwRztdHYfrdPEKTEaMGDKRx/bTvVVOvbRaMPY8dUfleuWd539qONsj0ETOf12xW6NWq5zPfbRQF0vPL93JjUqse5Y/Uzd/73lc0bLdGtGy/oJsdt+lNy33/oo4uPS113ikzgWeRUk3nJsQaLkjr+bnyr3lMQ9lqu/sf1PlknULj+T/f6m29r1N1I/jKgBAIAXWzRRsx+BTH30UUNNffSknyaJR/NC6Ahb1wmVefYjixL+teYqdn4critmlrf7kD6jez26/iRN8iQruZCOtSY6WgTXaW6m18cvndLm9XDH3ar/7qheT5OKuvPdch1bv2/p4OqIWLD9/PEp7XSfgvmyjejQXPKWnC/79tODsB3t/JdtLFM/hh5nvN5A/Yzv/7Hy5dZ3+wr45ex2vXD7wccbzfF2ybu2F3n9H/9Td85knbpa7PHItF/ViWu7DQ1zfm39hJE6zrTBET25AIf2P8X1F7KO/Rs093do5vrQ+viFlKOZd/hFnLgCAACsb/kRtYFQcx9xD008bEcUXnbUBgAAACjIqomahpr6iPmC0QmSNRGOWPV/egAAAAAoDyNqAAAAAFAYRtRKlvr7nCCm/x3QLlE/ZeP8AAAA3I0RNQAAAAAoDCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYZZJ1L7P1WfwJQHH6iuxnJr7uKTrqf4R7OJc5UQ0P6KdPL6x+QAAAAB2ZblE7fiVnheFmvr4bm6ShA0lYmPzAQAAAOzDqomamvuoyYmOJJ2a7/HWUTE7suTnH3S0rBl1+ji4QajOhBGpS7Ndt4xZf9L2x8jCJ1nHb/+UOQYSNQAAAADqOR99/DxWX9+J5STU1EdPExSfqDny3CYsLpnS5OlWv859xDGX6Fxk3UuzriPPNbHyk6Zuf8jNbF/XD8rTGEvExuYDAAAA2IfnfJlIZoRNzX1UmqCMJWpD871koiMJlI6WxTSZ8snb1O1nyXbsiJqO2JGoAQAAAMh5TqL201d1/Dwnpk9LzvyjN5YoTU2kkonOConaSZKzi1m/t71G8viMsfkAAAAA9mGRRO38+Vl9nrsRtK/zZ/Wx8IiaT1BumiTpqJRJWKYmUrlEZ8pHH+9O1DQR1G35pE/W1W2TqAEAAADIWWhE7bs6HyU5a/5G7fN4rr6Ty01Lzvxjq0mc3EcH5fEqyYr7CKE8avLipku45EfCv/ZJjY5o+Wk2bK409mUiGrntj7Hb0NE7f/w+ORw7vinHDwAAAGA/nvTRx3SouY8AAAAA8G5WTdQ01NRHAAAAAHhHjKgBAAAAQGEYUQMAAACAwjCiBgAAAACFYUQNAAAAAArDiBoAAAAAFIYRNQAAAAAozKKJ2vfXufr8rH/0+uOz/6PXau6jF/wgtTzXH6VW9sekg2jm2x+o9tOb35l2RtdvXKP9649W6w9gZ9eX8D9ojWmup4/q8MpKk5N5+Dg97YfEX1e+m+z7IG2yvjYPp0t7DegxtdPl2G6XbrmPgyxnX9sIfu39Jten3f5Jrs96fnZ9ucB8VdhjaMP9urw3fvy+XoP9BdvIG9y/axPRPLkBXF9xGgEAwFtZLFH7Ph+r4/mr+v5Oz/ehpj56mgxJ36x1kz6UT9SUzo/6jcF8pYlWro88tn5vXXku/cE2UfPr6nK+f6fzc/t7Rxft3DbPsS5Ncg6XrvZv0lA/TEKq88O2eq1O5oLQ5CdIMDV5ieafzPzbtZtv19WEqLs+4n0m9tPQ9Q6yop9zleVcEulfa/ls+4qOb6rc/mUHYdLntk97BgAAz7VMovZ9ro7Hr/Q8E2ruo/LJUKIL5dhkSfpsSVMTtd76so6OoE1hE7VZJPM8Hbr/sbcjBq5T2Ex323adbH3d7+jm3VzH2K93usr+9Ll2drXT67ct4hEKZ+j4nHhERTvOTYWa47cR1FNbpmi/rWj7sm2/uj9+N4rTzHcjHs38KS6mbG5b5hjG6mfS/h8on7L7vF6a/Uwto9Z/olHapGR6ohZO9+r5XSKVYxO1FHtMLT3+xD7tttzxa734CZl1xiT3r/T8RQeeXRYAAGAhyyRqX8fq8yjJWvuxx2P1lRlZU1MfLU2CpD8t268Tp5vpI0m/zE13cWeill1f+mdT+3y6j6GOaM5FOvnBoWliFAwharKjCVb0fKJw9KL5GFnUEQ+2JwWxndCx44s76m7EJqq0KSNquc5vb/TFJY5dsqjr2Y+juRGW3MkeE5VdjdXP1P3fWz5H61TOuxtZ0hmyjL0GshLlccz0KYmaTyLj81qr25RPVF0in9zl/EQtV2ep42/LsUKilpwGAACwoEUSte/zp+ugfZ6/m2nf1fm87N+oWdJHlQ5j80JoouX7ZdJXS5J+VdQZ7QyuL/ua2ufTfczuu7nEq+kEBxElNlLoerm4Uz0i1WmNpmkHNThu0wmednzase/muY+FRcd4d6Km+09Uqk0uBo9/rsS6Y9ufuv97y+fcWabkPpXZXm9f7nyG7aNeNpyek0rU1bMTNVeXst9b1L6nGtoXiRoAAFjbcona5zmY9nX8rM6JUTU19XGI9Pnajr/0y6SD1bzIkH5V0BnVdXw/a3B9WeeQSf5iuo/5fbcZnV8dUZGDOc35JoNUpzWaph3U4LhlX12HddrxtW76hRT9jjqJ2v3lc+4t08D2/eTevhLtY96+pc0kvpTlqR99bFZz5+KSXmdMtpxS93z0EQAArG2hLxP5rs6fH9XxqxlR+/6qjgt+66MmZea7EKSXJMmTJEWe9OWk09S8aEg/KugoSl9rVqJm19d1g/myHekb9jqdutxQRzRHO5r2yx5i2insPlqniVPub53Spnz00W/PfRGEjoqZ7Y8dn27fJo+aVMbJgT0GTeT02xW7NWq5zu+Ujz4Gu9P9J7YzSWLdsfqZuv97y+eMlulW/91hMkEKz1/8ZRx6XDYRSb2O990l3pqUyfHb/zzQ5Co6/+quRE3oero9Pyf1ZSLdavX1kRrRG5Pbv9Z9kKi58zP+Hw8AAACPWChRk3DJWfPxt4X/Rk0TtZMkQbLpOkwSpUlWOz0Kt4z8k5qnoX2v0fUbLpnz82T/Qd6S2IedPS78+vEP6bj7jqnrNDfTXV9RO43N6+GOu5X4MhHbkXUdT79v6YDqiFiw/fzxKe20n4L5PqnsuOQtOV87+s30IGxHePzLRDTurx8jlRAN1M/4/h8rX259t6+AX85u14u2n/gyGHt+7XxbvjD8fnS/0qbi8+/mNUydhOvWNBEL50sEBcwfn123PW+6vxmJ2uD+NemM5yXaNwAAwNKWS9QmhJr7iGfQxGN6R/adZEdVNs6NQgUJRzgKCgAAgLKsmqhpqKmPWF4wekCyJsIRq/5oEwAAALA+RtQAAAAAoDCMqG1Z6u9ngkj9vdIboX7eG+cfAABsGCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYRhRAwAAAIDCLJKonf0PXZv4PH/3llNzH9XlIAca/aC0i5PMvPanH2R6/BXrV/OD2Xa+33bw01l+mzIP0+lX/7/0N8jcl0c87wsiXl4+AAAAvI2FErVj9WVef58/k4mahpr6aGlCFXTApb+sCZd7epHn5ifBNCnrvTbJ2VXmaRLmXut2muTNc8vH+3tzF6kg6gMAAABYx1M++hgnbj7U3EfPJ2pxUqZ600wS554nRsY0GTu5DdbLtolg/HqK27U6SbbnRxODH002XxHu9ic7rpc7hKN4g25yPId2vdO1+ZFmKfRNDrTdtvA/aB2M/AwdnyPbP/nt6/yD1FlToeb4bfj9OW2ZciNO0fZl2351f/yH06nbz8yk8GLK5rZljmGsfibt/4HyKbvP66XZz8wyAgAA4L0sn6h9n6vP41d6noSa+mhp4iT9WxdBUiaCRE360bqs75inEjtH5rvpsrwmZv61T+B0G1M70hfp5Afdd02MJBlquWRHE6zo+USapHX5gXT2NSkwhdJkI9ieFMImFGPHp+sfLtd2mZsmJlGlTRlRq7cT7MkJj1+4xLFLFl2ypNtvJmj50gnRBFHZ1Vj9TN3/veVztE7lvB/kQG46Q5ZxjwAAAEDC4omafuzx+JWep+Y+etJHdolCKvHSaT6J07Cd8smJmpD+eTv65vc3yiVe9YhJGFFiIx3zerk5I2lCt58osJ02mIhMOr5oxM0kLd7diZruPzi4miZD3SEOJ1Kz3JmoTdn/veVzHikTAAAA3s7Cidp39mOPPtTUR0v6yNlEQfrK0glunstCmmy1y0rf2CdflvSb6865zm8SNWtof6F69GSMG6XSERU5mFOcBQ2JkjInmjacaEw7vtbtJttbcESNRK32SJkAAADwdpZN1Bb82KN/9KSPnE0UbKKm9LX7RsiG9JFdMua7yb0vE3koUdPtawc+v7R28LuP1tWjV3M67VM++ui3d5PC6Qia3f7Y8en2bfKoSWWcfNhj0EROv12xW6OWTGTElI8+PjtRG6qfqfu/t3zOI2UCAADA21k0URv62KMPNfXRk/5xJX3rNoL+rnSw23mynOfWMa+ln9wu1yZt8o/kTO10t91oWj69sZrkSVZwIR13TXTc5uRA/HSXDMiB+NfTO+6JLxMJMtM6+XPzNSHUEbFg+/njUzpadgrm9z/66JK35HzZt58ehB2BG/8yEY3768dIJUQD9TO+/8fKl1vf7QsAAADIWP7LRAZCzX1EiiYeJlFDKzfqBQAAAGzJqomahpr6iD7/Ve8uSNZEOGLV/+kBAAAAYHsYUQMAAACAwjCi9kr6jYFmNKgf9u+g3hD1AwAAgDfFiBoAFEj/MwIAALwvRtQAoEAkagAAvDdG1ACgQCRqAAC8N0bUAKBAJGoAALy3hRK17+rr+Ok6Fhqfx6/EMtOSs/jxJH0V7a9o6M9j3S7da/ft9DLN/0B1/YPF3Xx9bZcPwv8Ytlnex8H/ILYYXR+T6U8LvPQ3ztyXkzzvC0heV77wB83tTxTYn3OIf+Bbf94heG0j+OmH6Ae9Tyf3o95uTm59uUB8VQQ/KeEj+MXv8eP39Rrsb8Kvho8dXze/O96L/3H0Zvvta7PuKXU8Nmb8dMbtL9fq+hup059JOX/jS673GbnRAACAt7VIovZ9/qyO5+/w9Vd/OQ019dGRvlKqzyP9urYzp8lU0GeT59Ifb+n8qN8pHc3muYjnX2Vd+3psfWhnlm9gfBVNcg6XrvZv0oDtN2LqfJ+E1MIfTNdkI0gwNaGN5vvERN2u3Xy7riZV/jq8yAUS7jOxn4ZLcGVFP+eqyY9sv32t5bPtKzq+IZOOT+orOC59Hd1QTkGCXyeufpWx+pvs/8h+SdQAAEBjuUTNJGb6+tMkbj7U3EeXFDVJl/Sz2gRMEzVPE6mpiZpdz7PzHbNPNbb+qJt2jLv/bQ9+lFk7dc10VwbXydbX/Y5unnQcpePp1ztdmx+BloPWTmS7bRGPUDhDx+fEIyracW4qxBy/jfB8+DJF+21F25dt+9X98btRnGb+x8ykMB4RsccwVj+T9v9A+ZTd5/XS7GdqGbX+g8qu2eRheqIWTvfq+V0ilWMToRR7TC09/sQ+7bbc8Wu9+AmZdcYMHZ/uo56ndRDXvV5P4TQtS3c4+frTef68x9GrCxI1AABgLPTRx6/q+CnJ2eeHxLE6Hs/Vd3K5acmZf3Sk3+JGr5pH6U9VN30eJVLap7Fh+0vB/LFETbYtfaugQze2/piLdPK77pfQxEiSoZZ2PF2CFT2fKBy9aD5GZirAdiqdaARh7PjqjmjXUXcjNlGHdMqIWtehDfVGX1zi2CWLrrOr228muBGWxHYmicquxupn6v7vLZ/jkj1ZXw5E27cu4x7HJMrjmOku0Ql3FiQUrnzSuF1E57VWtymfqLpEPrnL+Ylars5Sx9+WQ6+R5HEOGz4+rZOTRFxXSubFI2pmufH6m4hEDQAAGMskat/naETtWJ2/zfwm1NxHJf0z7bdKx007vRLyaPtDmkiFHe3+fP9atxXT+don8hF35sbWH6SdSu3A9SJKbKSA9XKpjuIA3b4trIqmaUcyrB/TuZ90fNqJ7ea5j6FFx3h3oqb7T/SebXIxePxzJdYd2/7U/d9bPufOMiX3qcz2evty5zNsH/Wy4fScVKKunp2oubqU/d6i9j3V2PHpPtN/96aJmr02tD10xzxUfzqvWy+MXrlJ1AAAgLFIoqZfJBIkZl/H5EcfNdTUR0/6V9XpVCdQ0keTTtr9iVqKne8SQtm+3dzY+sNmdH51REV2bjuBo+TgHkrUJh5f66ZfSLHgiJoea6JzTKI20cD2/eTevhLtY96+NXHpn+97ErX4WDy7rV5buKTXGfNYopZv3/PrL4NEDQAAGAv+jVr0ZSJL/Y2akH6QdMy0uyTkn0M06iV9vbADpsuYfpzOj/t1uk2/SjxfX0u/rDW2/hjtaNove4hpR6/7aJ0mTon/bR8w5aOPfnvuiyCi/80fOz7dfjCCoElF1KENPwom86UCuzVquQ7t2EcDXefc7u7epEYl1h2rn6n7v7d8zmiZbs2oTipBCs9f/GUcelw2AUm9jvfdJd6apMjx2/88kAsinRzekagJXU+35+ekvkykW62+PlIjemPWTNTu+nIdEjUAAGAs9Ddq39V5wtfza6ipj570n6Rj1rwQ0t8ySYF2aOpwfSwJ/1r7cnZ+HK4jZZa3+5C+l3s9uv4k4dePf0jH3XdMXae5mV4fv46s1a+HO+5W4stEbEfWJQZ+39KB1BGxYPv541Pa6TwF82Ub0aG55C05Xzu5zfQgbEd2/MtENO6vH0OPM15voH7G9/9Y+XLru30F/HJ2u160/cSXwdjza+fb8oXh96P7lTYVn383r2HqJFy3pglSOF8iKGD++Oy67XnT/c1J1EaOTy/y+OO/9vDCL6MJk+7x+ht3/YUs/3dR/OzitgMAAN7XQonatFBzH3EPTTxmdGTfiHas70rwCudGoYJEIRwFxfaQqAEA8N5WTdQ01NRHzBeMXpCsiXDEqj/aBJSJRA0AgPfGiBoAFIhEDQCA98aIWskSfzsTxvS/g9kl6ue97fz8axkAAMD7YkQNAAAAAArDiBoAAAAAFIYRNQAAAAAoDCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYRhRAwAAAIDCMKIGAAAAAIVhRA0AAAAACsOIGgAAAAAUhhE1AAAAACgMI2oAAAAAUBhG1AAAAACgMIyoAQAAAEBhGFEDAAAAgMIwogYAAAAAhWFEDQAAAAAKw4gaAAAAABSGETUAAAAAKAwjagAAAABQGEbUAAAAAKAwjKgBAAAAQGEYUQMAAACAwjCiBgAAAACFYUQNAAAAAArDiBoAAAAAFIYRNQAAAAAoDCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYRhRAwAAAIDCMKIGAAAAAIVhRA0AAAAACsOIGgAAAAAUhhE1AAAAACgMI2oAAAAAUBhG1AAAAACgMIyoAQAAAEBhGFEDAAAAgMIwogYAAAAAhWFEDQAAAAAKw4gaAAAAABSGETUAAAAAKAwjagAAAABQGEbUAAAAAKAwjKgBAAAAQGEYUQMAAACAwjCiBgAAAACFYUQNAAAAAArDiBoAAAAAFIYRNQAAAAAoDCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYRhRAwAAAIDCMKIGAAAAAIVhRA0AAAAACsOIGgAAAAAUhhE1AAAAACgMI2oAAAAAUBhG1AAAAACgMIyoAQAAAEBhGFEDAAAAgMIwogYAAAAAhWFEDQAAAAAKw4gaAAAAABSGETUAAAAAKAwjagAAAABQGEbUAAAAAKAwjKgBAAAAQGEYUQMAAACAwjCiBgAAAACFYUQNAAAAAArDiBoAAAAAFIYRNQAAAAAoDCNqAAAAAFAYRtQAAAAAoDCMqAEAAABAYRhRAwAAAIDCfDSPAAAAAIBCrP7RR4IgCIIgCIIgCGI4SNQIgiAIgiAIgiAKCxI1giAIgiAIgiCIwmKzidof//jHXUWqjARBEARBEARBvGdsOlHbCxI1giAIgiAIgiBsfNhRna3FXqTKRjw3UhcDQRAEQRAEQZQSLlFLzSg99Lj3YsvnIDW99CBRIwiCIAiCIEoPErUCkPCsGyRqBEEQBEEQROlBolYAEp51g0SNIAiCIAiCKD12nqhdq9PHSf4N3S6H6hRPFDr94+NjMA6XW7P0ckh41g0SNYIgCIIgCKL0eF6i9nWsPs/f6XkLxJRETROvVGI1lKjZ5cde1zQZfCyBI+FZN0jUCIIgCIIgiNJjPFGThOvj+BW+/jxX33YZOy8agYrj+JVY744YT9TsaNqtuhzSx+PicJEl6kQsOd9El5D5bZ6q0+lJiZqv++9z9dkew7E6Hrvj0dCE+EumtXUbLB9F7tzdEZMSHj0W235++q7On8fqyy6Tiycl+yRqBEEQBEEQROkxmqh9HT8lMfhMd/p9+M5/nNRFESQTD8ZYotaNmmlCdahsHtXNC42NoMWvvesaiZqr46/qKImaT3L03Jy//fI6r3ndLu/nmWVKSdRcMjmcsH2fP0nUCIIgCIIgiLeM4UQt2+HPREEjavpxxHqfdZKmSVZ8LD580ja0jI+1EjVNatv9fkrC0h6DJDdSz1qPYaIm4ZOiAhI1TbLaJDOVqOlzm6xNaDs+Hm1DJGoEQRAEQRBE6TGQqGmHuv5YnX+e6jS7xMGvU9CImrpdLr0vEpkjN4IWe9aIWpDsuASrHlE7y/RkouajgEStHeH7GkjUhsKVQT/mudzx+iBRIwiCIAiCIEqPbKLmkgRJxGZ99KygEbXwb9JO1fV2qQ7mOIJ5svyU0bQ2os9NPidR65Lj4zlO1CS+BxIeN1IVHbOP1RK15qOLx6PEeSDRT7QxO9KWTTrvDxI1giAIgiAIovTIJmpf0sHWj9hteUQtoIla7w/T9O/X+l/fX08/VKfTQdY5VaeRJOwpiZokKMfPekQt+Bik1Hf8ZSJdnTcjZj658eejTXbWHFFrQvcdtIlmpC01EujbmRzjl/5HgT9W3YaUc6m/VyNRIwiCIAiCIEqP4b9RaxO1xLxUFDSi5phRtNNlSqLmv8mx+7s2TcD8aFvqC0jUMxK1bx01kwgTLbtMYkQtPl/+dXL9x2M84dGkTOrTJmqZpKtORsMELv4ykbtGeRNBokYQBEEQBEGUHpMTtXBUx0bm43dPjrFEzX2ZSPO1+87IRx812fIJmhf/jVq9jMQKH338OktipYmvTdRsIqbzXN3XH4f8SiRu7QjmSxK1ZuQs+hu1+pgGPrbZhi9Xat5jQaJGEARBEARBlB4zErXUx9VsZ9o/l0eXFPiPS5r1FkwYxhK1nlkffaxN/TKRR2XPQZSonZtk+fgldez+7svUt03iNGxdx8/tCNcDMdR2giTR70/L44/Dl623jrYb32a0TXXtR+c/OpqmQaJGEARBEARBlB6LJWptx7xN1MJl24+x2aThgZidqBVsNFHTR5egyTStv2AEra7vs/5NoV0vlyCvlKi14ffXHnc3T9uMT9bcxxrdc5uo+eimdcvZ+fOCRI0gCIIgCIIoPZ7w0Uc/kja23GPxVolaO61LjPW1PyfBKJNL0uK61vW6c7Hk3wmmpgfhErT8+bfJWjDNHK+LBZJ7HyRqBEEQBEEQROmx4Ecf1423SNQKD46bIAiCIAiCIJ4Tw4lawUGi9vrguAmCIAiCIAjiOUGiVgASnnWDRI0gCIIgCIIoPUjUCkDCs26QqBEEQRAEQRClB4laAUh41g0SNYIgCIIgCKL0cInaVmMvUmUjCIIgCIIgCOJ946PJFQAAAAAAhSBRAwAAAIDCkKgBAAAAQGHaRO3nP/85QRAEQRAEQRAEUUAEidoc//iP/1j98S//t/jQ48T63q3eaWfPsfd6pd1s157OHe1w3JbriPP7GOpv2LvVz9rlJVHDU3DhYgl7r1fazXbt6dzRDsdtuY44v4+h/oa9W/2sXV4SNTwFFy6WsPd6pd1s157OHe1w3JbriPP7GOpv2LvVz9rlJVHDU3DhYgl7r1fazXbt6dzRDsdtuY44v4+h/oa9W/2sXV4SNTwFFy6WsPd6pd1s157OHe1w3JbriPP7GOpv2LvVz9rlXSZR+4e/r/7Dx19Xf/sPYZLUxv/4L9XHX/199b9S854cj1fotTp9nORfzHF/vd+qH3/4qE7ZCi/zfKx64d5+rH74+KH68da8tobmbdDaN8S1vbR8QVt55nU3tu1tCs/dtsu4flm29776+LVa1+vHx/rtZO/30Wfr1585lz/a++gL2/X1VH388KMc2frerX2tXV4StVEkave4v97HOgkkaiRq+/HS8pGoPSQ8d9su4/pleb9E7fbjD9XHixrI3u+jzxbXX3Aug/soiZq/f2gS28W++tBrX0/rfPTxrRO1KW96++vIpC7caeUbW/YdE7WhOtlf27Hub0fb8Nx2M8czr7t9ttE9tc31y/J+idr19FH98KL/QSvnPrNNcf3lz6Vt1yvfEwpL1OaVe1v3z7WvJxK1USRq97j/wh1blkQttL+2Y93fjrbhue1mjmded/tso3tqm+uXhURtTeXcZ7Yprj8StdDj949t3T/Xvp4W/Ojjf6n+W5sg/c/qb4JhT4lCEjU3ZN0el32j0AusO97uIozfUHLLqXjej8Hr9EUUrvPxw6k6SYMNtttegL4xh+uEjXvo+NbT1XtcvqYO3McFuuldGcbKqNOnno/1pG9UuTKIqeX/4YdgOVd/bl2tg3D74TwvWqY374fqxx+lfTXzbf3lr5X15NvR3q4TNf+44/OSO2fJ6UFbeeZ157ftXzZtv52Q2la9Tvr86iZKaptq+TKuaf2yTG1POj1/j1rT4LXaljNdDu3Y+2mvaK/3HLs9zjAxqZfrmkNZ1+Uz2PrrncvgPqp1o8+juhxpH3PbUy3ah0a73roG7x9G3T7CdvVxkvfyXhky9eHvRU2k9rGGsLzP94RErU7S/uZ/dMnSf/vPUqklJGrBBWVpY7B/12Mbms6zF+HQcqk3kXyj7UTLRG9w2pjrefVywQ1Ql510fOsavnDl9cncUIIyTCnjNsqbL8PM8sflCtrx0LxEm+zVpezLr+zWbeoze62sa7AdaVl2eJ0MH/fA+cyds0nTp+zbPp9Tf2a+26Zdd2Bbumzq/JbeNpco48rWL8vU9qTzMveolY1eq4PlqOuj3z9Yx7Rjz99bXAe7K0j1g/4HYrNsW65CrstnCOsvOpdBuW27Ds9/PS/XPua2p/p8dduuj8lef2tKty8T5kDbugvuF3FdpepDpmX7TeuK28OzLZ+opT7mWMxHH+vGHb7xCHfCTaNqor4QzYU3tFzQ6Ky4AabEy9gL1Ow/uS0zbbAc60pduHEdpP/3baSMtj42Vd7+tPvKry/7HezkvGSbtMvbdqZ0nm13elzRtbKy4Xp9h+skOu7R85k6Z5npQ+3Iibdt2pWpt/H6a7Zz0vX8/hqD28qd31w515U8d4uVcV3rl8XMn7xNpcf2mvM+eq2OXBelJWq9Yx+6t5h7xfWk9S/nxS1vz4eeKy3za87PM4X1F53LqYnaYPuY2Z5S5yt5Dtcx2r4CqXYSr5PfRgmjtnF7eLY3S9S8uhG0DWWwgZsLb2i57LyxRqv6y2hj1Asy+J+s5LbMtBdeqLHBC9fd2HI3upEyTj0fKxu/UZlpD5VfXw4sb+cl60eXt2+s8c0yfpOtt/+qN9+xet31deKMHbfOn3rOoumrXXfNfuU4e6MhI9tKn18vV851pM7d8mVcx/plmdqeptyj1jF6rY7UzTYTNV/X/rmcD7dc8/oq95Dkeq+7Lp8hrL/oXAb3UdOum3po63mwfUTLqqHlU/NG2t8zjbavgNZR3D7idRLbcPWcq/d1xe3h2Vb46OP/rv72r+SkFPLRxx+TDaFuOLZRXE+pC29sOTvvWv3oGtRYo1WZRun+DqffmO0boHtDnHR86xq8cKMbSliGKWXcRnmzZZhQflum3rTgBjU0r66foHMQ7Fvnx+2reZ29VtY12I7UDq+TsePOns/cORuYHrej51x38T7tuiPbSp3fXHlWlm2bS5RxZeuXZWp70nnxtf2aehq9Fw2WQ58XnKg1x55/r9BTK0m41L2/R/jXtuNcwnX5DGH9RefSXSO2vfrncR0MtY+57SmeV69vz9eaxttXx9ede39pjzdeJ7GNwX7TuuL28GzP+TIRHUGTRlTHX1d/+1/LGVHTRtIem20FzRuSn9fNsheeyC4ngnndOnWDkmkDF1FqGXeswTpN45WL1e+/11CHjm9Fcb2H5WtuKs0x/iDl6SUe2TLOOB8rSt6osmWYUP6oHEH9uTJ32xuaV9dXt69+XeY7QdlrZUXD7ai2n+tkwnEPns/8OUtOD9rK2L4fue7iNu3L0GxvZFv985sv55qS527BMq5p/bJMbU+63FYSNTFQN1ov5SZqyp9nH+b8qKZs7XrudXguSrgunyGsv+hcunrwdRW26977VbZ9zG9PchDtdDc6pV+486J7SKp9dcfWHJ8cWHhvaJZrCpXqI4b1EW437DetK24Pz7ZMolZwrF2hS+rf2DMXc4G2XO/3SN2otnCeSjelHe3nOqHdpPTPbxmWvMe9uox7KsuzLFlHa9vysZeA+hv2bvWzdnlJ1EoV/C+NR6JWqrC8dLiXMtqOdnWd0G56kue3DIvd4woo457K8iyL1dELbPnYS0D9DXu3+lm7vCRqq4o/WlBH3DHT/5FMTd9uB3T/wvLS4V7KUDva33Wy9XYz7f42Vf78lmGJe1wpZXxeWZZtE6+0RB29ypaPvQTU37B3q5+1y0uihqfgwsUS9l6vtJvt2tO5ox2O23IdcX4fQ/0Ne7f6Wbu8JGp4Ci5cLGHv9Uq72a49nTva4bgt1xHn9zHU37B3q5+1y0uihqfgwsUj/t9f/3VR8Sy0m+3a07mjHY7bch1xfh9D/Q17t/pZu7xBoqY7JwiCeHVocpSa/ooo6VgIgiAIgnhtrClI1FIjUrlY+0Dv9dNPPzXPsKZ3q3fa2bL8KFYJ9frMETXazXbt6dzRDsdtuY44v4+h/oa9W/2sXV4SNTwFFy4eQaKG0u3p3NEOx225jji/j6H+hr1b/axdXhI1PAUXLh5BoobS7enc0Q7HbbmOOL+Pof6GvVv9rF1eEjU8BRcuHkGihtLt6dzRDsdtuY44v4+h/oa9W/2sXV4SNTwFFy4eQaKG0u3p3NEOx225jji/j6H+hr1b/axd3myi9vHxEbyOg0QNQ3ZZ77dLdfg4VJdb89p4fnl/qr5/9afqn3vP92m5RO1WXQ4f7n52ujaTZiJRQ8qezh3tcNyW64jz+xjqb9hi9TPQx3rII9u9nqqPw0V6Ep2128NgojaUrKUTtWt1knUOi9fy/cIK7TptPrrOW39efHKuJ1s2v3zu5Nd1EW+jXa/Xaxzev+47Xud2OSS2X4Zd3thmJmr/+k9/qH75e53+79Xtt7+rfvmrP1S3f6vntf78p+qXv/2X6l+bl3npRO2ff/+76tf/9O9u6p4slai5a+TeDK2xfqIW3wtOcjfxxu9TtRn3mWD7asoyofS9cfr63uR7bPDm+WCZdFu9fTT374G2s5dzp3plcfc6v/6dHZydefRe9Eqzzq+7HjLzgvW6/pO7z5rp8fzceqHy+o/els99KFfHzf3OReZemJxXC+tHl08sp21grL/q2kl6Hw95ZLtbSNQ07HQfYaLm3xxO1Sl4o329sEL1OM3JCk5eXQZ7A4mTo1Qn4iDbS5W3vXHFDdM1Vlkn8wab3X+voWUuhkLs48bWPyc5vfL+279Uv24TsDpR+/59Iil7MFGrt51IADduqUQtvGbvs2qi5q7zuM3JtR4lJdn7hDfjPiMbcPeqbtr0du+l7o3D+0hLbufUf6N02xuok7llcnVo9jHlP8H2cu5UWJa6Y9ZuI6jr9/Xoveh+951Ta/r5te1VuPbl22FivV4bbbhrYd56vs/06P36GV537pdSt6F0H72e104Lzs/QvE6/fSX6pu6+tsH7iJY5Ou6128OkRE3DztPIffQxfKN9vbBCtdGFDag73sTNUE+QmZDsRFzsDclr9nPpn2C9Gek2dFvBvkb3X88PLpiCG/32b2wqcU4y4vLqSNf3n5sXPlH7c/0YjIA9nKgJ3YYbuduP90zUprS3sftEbdZ9RgUdq+nt3kveGwf3kZbeTv0YnMfg/rdEmUxn0q03/p9gezl3KihL771Ft1nufwqu5dF70f3uO6fW/efXdrr1ub1+Mx1yEbbdCetpG5ZjugTXfzled+6XF95jRe++bNrb0DwjrJ9Mu2jOcXlnd0Tvelm/PUxO1OJkbf+JWv3aliUsW7d8r8z+xA7dEJPzhvffrRMvW55+Q9aLt2tLvlz1/6J1NwKty97/MAfC7bjw9RjfVHo3mfQxKP+/eXXoOtF+dB+J7XlheeNRLp+oyVMdafuVSeJsoubmmQQseD2QqAWjd/uQTtR8u2/OTXv9pM+ra0vtdHve5lktUZv0RjbhPuGmTb3PeHZ6bpm83L0xNL7d7HbctWfWDco1ZX/j+3bblA7GQZYL6zNtL+dOBWWZvN/3Et6LVO79JHrv6L0HyfnV/8TtrSc1PeV9qFl2jrvPr7smuuP3/4ng6LzUSr3tj63X7b/XlypE/9xvV6+OE+exXWZonhHWT9PG49MY3SP7bd1NNH2s4Wulnu/Xb5bLXR93b7eJaLtrt4dZiZrGrhI1d/L86/pm0ZXVLNcIy2ZubtqY20YQTbcnOHgdN+bx/bfb1lG8XIMsxPCFa+pIBDeFwXLVF5C9b+i67TrBxShSF2fqGOL1WuFx9rfXXj5ReaNEyiZqwv3tmp+/RKLWe719Q4lasuMz1rYesFqiFrd/1978/cCX2deBj8R9YsJ9xl5DNTs93odEf4VA9t4YyE3vDG2nfmNv6iEo45T91c/HyhTcT0bs5dypoCzNsber6THZ128qvBfV9//+vSUx3dVf+L7RnhNX1805Dt5frNx5n+6u8xsvJ8LOdar86WMdWs9e80vcr58hPPfbFtexOzfRCfPLDM2z+tdG4t6m7cnf23JtPZg+cK0087pDa+57uXv33duVKVLeeLtrt4c3HFGzZcq/CbqTY8+WCMtml6+fu3n2jTZ40+3XTX579bx4/85G3jSDem+OOY6u7M2Fk7q4rag+HTstvvjt68FjyO0/PCe97cl+vaC8vRGuMFHzr93HFRdJ1OIRvO0bHlFrXqqRthVfc/d4WaLW0vbp2/X4fWLOfaaj0337zy2TN38facPbqV+78gZ1NWV/uWUMt81TdZLlprSZvZw7FV5nwl5XUq7Lafi8vYNJ5zs53Z4TbQ+2Lu25m/g+dIe557dOrKLjCDq0qj7e4Lji92A1tF5UX3H7L0Wv/jasV8d6DqLG1S4zNM8I6ydu4w1tB+25zrT1oP3E2zHXSuo6S03zFt7u2u3h7f9GrRPfDM3NpBGWLVq+OZnBZ6yDE+wbZhzpN/HU/ms6PboRFiio96ELyPF1kzs3jbGLKH6TsK9Hj0HV56A7juicJLbnhe0slUjZRE24JEym2S8YuTtRi19v36xEbeC8LnE/Wi1Rc9dB6hqw1/zYfcJfS3Hk1m8E9ZhZZsDgvdGbcA2ObsddgzIt+IKRJcpk6t7tY+ReJPZy7lRYlpgtw/sK6ijXlpPT9Zz4thG3EzvPq89h9n3oDnPOr16DcedcTRldSd1v8+tdm3ImIlW3LzRcf9vSO0e9Nmva29A8I6yfTHvNXht6zpu2HvThBq6V1LaS228svN2128OkRM1O97H/RE3PrdxgzAkKyxYvrydf68u8odkTrM97b3b1OvU2xvdfC2+qpQrr3ZazdpWOln/p6zVdXiveTl1n7TpRB8ttL7g4M8cg68l7RsOeh+ic9C72oY8+/iH9N2pG/RHI30WJWrde8BHJoUQtTvB2YHKiNnRe3fPH70frJWraxLTNxvcoLaMv08h94o77TL1O/MYV1/Ow4Xuj6O0jbXQ7oq4jc90/XKZ6nu1Mjt+L9nPuVFwWa4lraA/COorvO5J0uDqqpwf1peeobUs6Pz5fzeup70N3mHx+g/e4SPT+6stq6yD5nxWj63VKbWtD9bc1/TqO2lfQXofmddL3QtuOousi19aD9jdwrfTaUL2N7D174e2u3R5GEzU7zcY7JGrtSWomhmXrL+8ap51gGrWuG/+vkuqmj++/pg0pcyMtSK8huwulblMavkiu/NFNIVVPLdcx8duRcxn9AWl9g6jnH6TDHrzpZI5BuePw88yMdnu6j+BiV92zuLzpb31sXraaj0Caj0m2yZvEr3//p2kjam/zrY+pa0SMnNdH70drJmpOVB6NofuOn6btdup9xm47fhNKLpPqgBlhPU/ZR1pqO/3iNNuP7xuD+8uXydVN757aLJ+oS28v506lrjO//qPXz170zndwrsP3Be3sdfUfz7PnQ+u6e123xSZMWwjeh5ppc0w+v8H7axftoUTzg+bae380htYzwuu/HMlrfaOSdZxty2JoXiNVP0Fbloj3mWzrQRsavlbC45Lpc79MJLfdkT6mWrs9DCZq9nUcuUStNHu6wLZktXrXi+rON68l9cqro1zB36k9y/7+Pk2lE7XXWD1Rwybs6dzRDsdtuY44v4+h/oYVUT8r9gXXLm82URsLEjUMWa3eS03UhBsde/JIl47cBb/LthMkaijdns4d7XDcluuI8/sY6m/Y+vWjo2B2dK8exV5rNHbt8pKo4Skeq/f4oyN1JD8uUXCihvuRqJVoxnU5aKntvNYezp3H/WvcluuI8/sY6m/YS+on+Ojjuh+ZXbu8JGp4inerd9rZskjUULo9nTva4bgt1xHn9zHU37B3q5+1y0uihqfgwsUjSNRQuj2dO9rhuC3XEef3MdTfsHern7XLS6KGp+DCxSM0OSopnoV2s117One0w3FbriPO72Oov2HvVj9rlzdI1DT5mhN6sARBEARBEARBEO8QawoStTk0UduCtSsUtXerd9rZc+y9Xmk327Wnc0c7HLflOuL8Pob6G/Zu9bN2eUnU8BRcuFjC3uuVdrNdezp3tMNxW64jzu9jqL9h71Y/a5eXRA1PwYWLJey9Xmk327Wnc0c7HLflOuL8Pob6G/Zu9bN2eUnU8BRcuFjC3uuVdrNdezp3tMNxW64jzu9jqL9h71Y/a5eXRA1PwYWLJey9Xmk327Wnc0c7HLflOuL8Pob6G/Zu9bN2eUnU8BS7rHf3S/iHKvUD+M8v70/V96/+VP1z7/m+7f36pd1s157OHe1w3JbraO/30Wej/oYtVj8Dfaznu1anifteuz0sl6hdT9XHx0cTr6rovrBCMydCG8fhUtWTb9XlkCmDlrFdTl9+VId4IdfQfD2ktjN9+1u2yxvbzETtX//pD9Uvf6/T/726/fZ31S9/9Yfq9m/1vNaf/1T98rf/Uv1r8zIv/Sb+z7//XfXrf/p3N3WP0u2ouYZO1+a1V0/vTc5Ofz3azXbt6dzRDsdtuY7S91HtD433Yex983Y5tNNdNDN705vw6+bWawX9x5McWSM4lvR77xrS9bc3mfbQTB86B2H9TOlnZwz0sZ4vc9wJa7eHhRI1KaA9Ae6iMxfbC81vQE2n7pRImsYSNVfuaPvNjaa7L03f/pbt48Y2vYPfK++//Uv16/bNuX4T//594g37wTfxetuJzsFOJNuRu14Pcl3F95gdJGq0m83Y07mjHY7bch2Fx17fD7WPdur9Z3PdKW/vlVFfLvmf0ymu3zNxvWy/J3EsL+of9c79rgy1h3peOy1qD15YP1P62SXKHHfC2u3hSR99nF7gZ5vfgHynLmqgKrpRhDef6KZiBY17+va3bB83Nn+umpcD4vLq/4J+/7l54d/E/1w/Bv87+vCbuNBtuP/V3Z9UO9L/ndXrRq+/8Nzkztf087g22s127enc0Q7HbbmOUvdR1U+gtB9jO+Jhn6l/z02Ll8uvp/fmTF+x1x8aWPbJcvW3N732ECXcuffSsH6m9LNLlDnuhLXbw3MStUzW/QrzG5BpiK6RmkY5lKgNJll2v9O3v2X9hqx14IfPu3qrPxLRtRWt0/5H2qxwOy58ncU3lfh15hhU+NEMXSfaj+4jsT0vLK++Wdv/AfVv4vJU/xf2V+YN3r6Ju3nmzTl4PfAmHvzP7r7025F5s06+kfffRPLTX492s117One0w3FbrqP+fbTW65gL/x9hjt5j2xtnfR8N3ycTMvfl5Hr6nirLXvR9v5mf71O97j6eq7+96bWH4PzXUm0mrB/b3zWac+0n9/tcbqLpYzXbucgxxG3DsX20ZrmgvXTCY67Xa4vVtrP+/sKyd8/Xbg/LJ2quosvpFM1vQOHNIEgkohtHcPJ7NxXLbnP69rdsuN7DOmjrcbT80QUmdN12neAiF6mLPnUM8Xqt8Dj722svn6i80ZusfRMX7u8a/Pwl3sR7r/ejd0MM2shwu+rkpr8e7Wa79nTuaIfjtlxHvftoI9XpDjvQ/fmeW673fj1+rw3W0/u5fU9377HNPd09N/PiZVeUq7+9iduDO1dRhafaTFg/8ftyQ89nrq/mJfpY7f5t22jmdYdWt7tc/zEoh7Qj96cTzQF25Rnb38FNVmu3h0UTtfoCT5ygF5rdgJoT3msAOiFKJIIGG80L6Tb8fqdvf8uCem9usHF0F3tzgYy1nVT92GnxxW9fDx5Dbv/RuYq3J/v1gvLqm69/Y3bCN3H/2n2UZZE3cd2e/d/d/YhviPGbRPg6vra83PTXo91s157OHe1w3JbrKL6Per1Od9A5VfV7Y/remehPxe/BSWa9xHt6r1/l369luctppI/wJLn625tee9D6j05+bxkR1k+iXShtG+25zvS5gvYTb0ffx/PtJjnNM9u9ujYk23bLmm2O7U+O11u7PSyWqOnJi09oCcIKzXTYghOcWMadZJkWfQFI2GDrhpesAneSfeObvv0tC+p96AJyMhdtLLUdOy24yIV9PXoMqj433XFE5yqxPS9sZ6k3WfsmLtwbtEyzf3x+95t4/Ho/+m8Aen7iGLi2nNz016PdbNeezh3tcNyW6yg89k7c6Z46glKLO7ZDy1pmPX1Pjd6Xh/dn3t9XlKu/venVfa/flH4vDesn836b7IPVy7Z9rqAPF7cvXbZ5ndrWYB/PryvbdMs0r6+2/Y3vz1u7PSyTqMUd5ILEFVqP+tlj1ZNjG2fdcOJGVq8nDco0hORNLrpx1XVjtzd9+1sW1ntdx7bMV0lK/Utfj64OBssfb6euy3YdV9dd/YfneuAYZL1LtM16uehc9W4iQx99/IP538/Em7ioPx7zu+hNvFsv+PjM0Jt4/Oa/I0G96s2yd5+x5zV9beWnvx7tZrv2dO5oh+O2XEfhsXd6HfPoPTS+v97Morpu+H6ty0b9H2dovfre3B5Db/+d3rGuKFd/e9Ov4+i9M5MMxfUT9r1U3Y7seU72uXp9LNsWdDn/2rZLVW9jqP+ox6QfefT/EeFfd+Ud35+3dntYJlFzHSippCi6SnydVIW6G4U5zsGG2eo3hOSNwzU0u/34pjN9+1vWq/eoXnz5UzftwZHZoK1J3UZ/QFrfIOr5B0nEgv9AyByDCtqEmdFuT/cR3ERU9ywub/obwZqXrXp6+yYu2jd2iV///k/mzXngTVw/WqMfsdkhW6/uHCXaRje9aT/+PPrzlp3+erSb7drTuaMdjttyHcXH7iX7MFF/rrvlRvfR+B7ae3/0RtZrOsF+fm5/veNcUa7+9ibZHoJ+U+r8pusn6FMlzl8w35/0oA0NJU760h5Xvy/Y0yzfti/32m5/fH/e2u1hsY8+lupdLrDSrFbvmf/hWVuvvPo/oObN+Xm0I/AH8z+7+7L365d2s117One0w3FbrqO930efjfobVkT9rNgXXLu8JGp4itXqvdRETbj/OX3y/xTr/+oGv9mzM3u/fmk327Wnc0c7HLflOtr7ffTZqL9h69ePjnaFn24KPlr5ZGuXl0QNT/FYvYcfhfDRfSTCKDhRw+P2Xq+0m+3a07mjHY7bch1xfh9D/Q17Sf0EH31c96Oxa5eXRA1P8W71Tjt7jr3XK+1mu/Z07miH47ZcR5zfx1B/w96tftYuL4kanoILF0vYe73SbrZrT+eOdjhuy3XE+X0M9Tfs3epn7fKSqOEpuHCxhL3XK+1mu/Z07miH47ZcR5zfx1B/w96tftYub5CoafI1J/RgCYIgCIIgCIIg3iHWdPeIGgAAAADgOUjUAAAAAKAwJGoAAAAAUBgSNQAAAAAoDIkaAAAAABSGRA0AAAAACkOiBgAAAACFIVEDAAAAgMKQqAEAAABAYUjUAAAAAKAwJGoAAAAAUBgSNQAAAAAoDIkaAAAAABSGRA0AAAAACkOiBgAAAACFIVEDAAAAgMKQqAEAAABAYUjUAAAAAKAwJGoAAAAAUBgSNQAAAAAoDIkaAAAAABSGRA0AAAAACkOiBgAAAACFIVEDAAAAgMKQqAEAAABAYUjUAAAAAKAwJGoAAAAAUBgSNQAAAAAoDIkaAAAAABSGRA0AAAAACkOiBgAAAACFIVEDAAAAgMKQqAEAAABAYUjUAAAAAKAwJGoAAAAAUJSq+v+KnxJof5o9nwAAAABJRU5ErkJgggA=" alt="" />

执行时间是：11.811s

但是，非索引字段依然查询速度会很慢，所以查询条件，能加索引的尽量加索引

5.in 和 not in 也要慎用，否则会导致全表扫描

案例分析

注：在mysql数据库中where 子句中对索引字段使用 in 和 not in操作符，引擎不会放弃使用索引。

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注：在mysql数据库中where 子句中对不是索引字段使用 in 和 not in操作符，会导致全表扫描。

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" alt="" />

案例分析2：

用between和in的区别

SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE ex_question_junior.QUESTION_TYPE  IN(1,2,3,4)

执行时间为1.082s

SELECT ex_question_junior.QUESTION_ID
FROM ex_question_junior
WHERE ex_question_junior.QUESTION_TYPE between 1 and 4

执行时间为0.924s时间上是相差不多的

案例分析3：

用exists 和 in区别：结论

1. in()适合B表比A表数据大的情况（A<B）

select * from A

where id in(select id from B)

2. exists()适合B表比A表数据小的情况(A>B)

　　select * from A

　　where exists(

　　select 1 from B where B.id = A.id

　　)

3、当A表数据与B表数据一样大时,

in与exists效率差不多,可任选一个使用.语法

****************************************************************************

ex_question_r_knowledge(A)表数据量大，ex_subject_point表数据量小(B)(A>B)

用exists适合

SELECT *
FROM ex_question_r_knowledge
WHERE ex_question_r_knowledge.SUBJECT_POINT_ID IN
(
    SELECT ex_subject_point.SUBJECT_POINT_ID
    FROM ex_subject_point
    WHERE ex_subject_point.SUBJECT_ID=7
)

执行时间是：38.404s

SELECT *
FROM ex_question_r_knowledge
WHERE  exists
(
    SELECT 1
    FROM ex_subject_point
    WHERE ex_subject_point.SUBJECT_ID=7
    AND ex_subject_point.SUBJECT_POINT_ID = ex_question_r_knowledge.SUBJECT_POINT_ID
)

执行时间是：13.537s

*************************************************************************

ex_subject_point表数据量小(A),ex_question_r_knowledge(B)表数据量大(A<B)

用in适合

SELECT * 
FROM ex_subject_point 
WHERE ex_subject_point.SUBJECT_POINT_ID IN(
 　 SELECT ex_question_r_knowledge.SUBJECT_POINT_ID 
　　FROM ex_question_r_knowledge 
    WHERE ex_question_r_knowledge.GRADE_TYPE=2 )

执行时间是：1.554s

SELECT *
    FROM ex_subject_point
    WHERE  exists(
    SELECT ex_question_r_knowledge.SUBJECT_POINT_ID
    FROM ex_question_r_knowledge
    WHERE ex_question_r_knowledge.GRADE_TYPE=2
    AND ex_question_r_knowledge.SUBJECT_POINT_ID= ex_subject_point.SUBJECT_POINT_ID
)

执行时间是：11.978s

6、like模糊全匹配也将导致全表扫描

案例分析

EXPLAIN

SELECT *

FROM ex_subject_point

WHERE ex_subject_point.path like "%/11/%"

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" alt="" />

若要提高效率，可以考虑全文检索。lucene了解一下。或者其他可以提供全文索引的nosql数据库，比如tt server或MongoDB

昨天晚上突发奇想，like 模糊全匹配，会导致全表扫描，那模糊后匹配和模糊前匹配也会是全表扫描吗？

今天开电脑，做了下测试。结果如下：

like模糊后匹配，不会导致全表扫描

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" 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like模糊前匹配，会导致全表扫描

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" 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MY SQL的原理就是这样的，LIKE模糊全匹配会导致索引失效，进行全表扫描；LIKE模糊前匹配也会导致索引失效，进行全表扫描；但是LIKE模糊后匹配，索引就会有效果。

 

还会陆续更新，还有几个小节。

参考：https://mp.weixin.qq.com/s?__biz=MzIxMjg4NDU1NA==&mid=2247483684&idx=1&sn=f5abc60e696b2063e43cd9ccb40df101&chksm=97be0c01a0c98517029ff9aa280b398ab5c81fa1fcfe0e746222a3bfe75396d9eea1e249af38&mpshare=1&scene=1&srcid=0606XGHeBS4RBZloVv786wBY#rd

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作者：小虚竹
欢迎任何形式的转载，但请务必注明出处。
限于本人水平，如果文章和代码有表述不当之处，还请不吝赐教。