1使用row_number（）函数进行编号：如
select email,customerID, ROW_NUMBER() over(order by psd) as rows from QT_Customer
原理：先按psd进行排序，排序完后，给每条数据进行编号。
2.在订单中按价格的升序进行排序，并给每条记录进行排序
代码如下：
select DID,customerID,totalPrice,ROW_NUMBER() over(order by totalPrice) as rows from OP_Order
3.统计出每一个各户的所有订单并按每一个客户下的订单的金额 升序排序，同时给每一个客户的订单进行编号。这样就知道每个客户下几单了。
如图：
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAREAAAD8CAIAAADfWwcxAAAVtUlEQVR4nO2dPXLjOBOGcStVycmEuoMCre6gyImndAhHXF9Bob9yonTCqS3nPgq/QBQJEP9AN4Am+i3W1ixNAd0gHgKk8Iri9+/fv379GtGEWnj16gqIXEYFAq7bJmJm5vvvH/BNBhKj/LrVcUZVAsa+ynvFzDS9kcuImSHQghWr44yqBMzMEK4uYvt8fdm/fj3+IRadh4IZpcYAcwpslcZHxcw0Wd18IqE2uWcsJd+ue0+XNWfkCC/kT/Ixq+OzE3cxY0w8vmWYmSarK8SMvyJ0Zv6+n8Xxo8ApsCUe3zJdMvP5+rI/nvdCiOPHMiIfP/7++R6O0z+Wc/l+Frvr55+vt93juJe3W/QJ+/t+lgd904VWKv/9uhdCCLGeMxw/lOCXI6eQliN3108tTWPP8HVZU0Y3e3jKnz5O6lTHMc5ISU3FrlpMzy6TmTnx+JbplZmp3Zch+OttJ07v339v1/3u+vmARz7TUhPbO5nlhMkD/ftZ7K6Dzoxa/nL+tAjn4OV/7F+/5sjljijUPYaeIX0q7qJjD0+/PC9g6HcOtlzUFvvUsstl5llgfMv0yox9Yv1xEufhz8dpdx1eX07v38Px5e02X1wdg0xADzPtkXqJMmK4LsmmSYV6CyvMZIKMM2HhrdgwRm4r0HjAKjsL5zzOVGDmezi+vL2eH9f+/evH206+F/w4PedIwMyo5ScyowZmrAX2fsbFzDSndUUex0zQbQ/fzyAzY5ibPU72dL1fCFGmc7EXOX2mIV3DhqNQ5lG3614eIuyTn/U/1GdBygQP77mZY25myjGQGfPcTM0uixl+bpZ+yqVB39hew/EJEugzAKk0sd9pzwBuz+NnXNV7busFcq5FnamvDpamOKnfz9jDk/605Bg7NzO12Dq7BGaMice3TJfMoG3tfqfZTUa8DoBAC1asjjOqEjAzQ7g6zqhKwA0x8xtHc3pI5detroDIZVQg4CaYQdU4jthVVKyugMhlVCDg+sxgD9lCiML/5W3bWxPMIFXwKPy/gqrboBgilxF2wA0xA34xmAsXQhRjRghRsUExxMwULt+tQswUA+Y/HmcaEDPD40xlMTOFy3fLy0yWJylsnPn3H/HPv3DM+Br0fhGXe8ye++W5okM5Sj5mOUSIw/ATWLLtU2vZMvoZDkLR5S4VuqrYlEhoALFynAJLY4KVX0AOZp4GJghmLOPM/35PVUAyYx9n5j42ny7/np/hoP1T/5TORkhd+qfMCuoiP8Phch/vl2fnXxduSiQ0gFi5INfbFa78MuJxJnDPOI7jz3CQrsbSMeofQku2fmqtkC5yvxyGH6XIB0RGTYcFBxCrkIBzKu+CGef9DDAzvvuZZGZWl0a195unOD5mwiZG/i4yd8BlnPkZDrZin4kEBxCrgD7N40wH44zWB6Vj1J5q5iriU2t5u4g8pDxvGA6Xi/lCviQSHECsQgLOwbQLZqiPM6ZzHDl/i/jUWvFXgWmvXqats8JO09wBZwLjLR9bPM7491jOcSvMWD5rGDrc07UyzOQD4y6/gHic8e25XyyPRZdjpO65uri7SrZ/ai1nF1F6+1KmHra2JzyAWFkDtjYmUPlFxOOMZ4/8FYZ6r2z+DifiGYD1U2u5MtJq0L6fmY4wJhIYQKxsAdsbE6b8MuJ1AARUt4skCDvgLpgpBsx/vN6sATEzPM5UFjNTuHy3FGZA/aeTeJzJF7mMemEmw2fqEY8zmWJmCpfv1sIM9ibY2Mwb3NYEM0gVoBZuVN0GxRC5jLADbogZ8IsBNpBGkethXpHLiJlhZiqLXEbMDDNTWeQy6peZ5eVyzx/nx2EG2C0YX120txlvT2xGupM5xtvsOjhH3j6dub6tUWakF8L4X5OSyoxu9wVQTHUp3maDQXdZJ7k4IFOOic1IdzLbvc16AK6D8+Tp0z/DIW+FW6PMrPhxv5Rv2+PMLH3B/LRHXQatr8APPcaigC5iDW2RFkCgETpBzoB/hoPVDwdRPrpCmMEbZx6iwow+Giwjj9z51N4QcYxN/i5iDU3ZsQ4gyAidIlfA94u43DPtOq0z8/W2E6vXYnXJjN6t5j0OHqKOScvoMZuUw9X3jJYAvEboNNkDnhp2y8zkALMlZhzAjHYeYo9JzWgMGWicAx2w6cwW8FzvZpnJBGYzzLiBWR0+/zPlGItCuoj/hsZ1Q1XmNzSk37nZpudsOOb8GuB2mAkwCZsfSSUcY5Hjsu1/pmcPwGWEzpO3T29znFm+nBFCON+WvG1mdDuu2yQ8P/JNOyY2I92crO0x5VL7+5ltMgOy8ToAEJHLCDtgZgZY5HqYV+QyYmaYmcoil1FHzICamicxM/kil1EvzGSYlz1iZjJFLqNemOGNN0JbE8wgVcDjTL7IZYQdcEPMgF8M+H4GROQyYmaYmcoilxEzw8xUFrmM+mVmXj6TZp4JYSbQ3BslX4Nu29ssr8hRlqesF0gqbmjYpTNxZmzY8gvIuUZzWtSc/joNNzPh5t4o2Ru0A29zIACTLRPFWz7GBQxafhGFzM1u1/3u+ok7NwN8zxb4ODOLgLc5rB0fL3le/q/gOPNU1glvnpnP1xeccUZSmXHmoU17m6UZmLVLOow1QIoIGKl8THmY+Xrbod7PPATrRkdihoa3+e5/FbP2cxmlmTFarwHLx1bg3AzxNzSAf76Bvc3SLlPBoRPRHGHPLNpnBvG3msCBGdnbbN9j2VmFmawbmkaZKfGbgNCW2oeAmaHqbTb+Koaxo5ZjBupJaaPMfEvfz6QNMl5mws29UYJlZkveZgsddb6fYW9z1jMAWNVtUAyRywg7YGYGWOR6mFfkMmJmmJnKIpdRR8yAmponMTP5IpdRL8xkmJc9YmYyRS6jXpjhjTdCWxPMIFXA40y+yGWEHXBDzIBfDPh+BkTkMmJmmJnKIpcRM8PMVBa5jHpn5uOEtXZmxPldel+Dsrd5+QSGt9wd8DPIrPraZubz9QVtvRmU03Ule4Oyt1lqicsdyVs+xp0C2PJLyM3M7brfnU+JRoCYuRmgtZm9zbHeZn8Asep4nBmO4vSebJ6JYAb0MofGzFa9zf4AYtUtM9PPzWAzk+90XQmJme16m1uwysKWjysrMzMqJcaZ5n9DY8Pe5jassrDl48rGzO26Vx6yYL5PcxxB59PgzGzY24wBzNgrM4YBB5wZpOc2wMxs2NuM4y0fmRnUuRmI03UlWGY27G1G8pa7AzbEAV8+rngdAAGRywg7YGYGWOR6mFfkMmJmmJnKIpdRR8yAmponMTP5IpdRL8xkmJc9YmYyRS6jXpjhjTdCWxPMIFXA40y+yGWEHXBDzIBfDPh+BkTkMmJmmJnKIpcRM8PMVBa5jLpl5v28rKvAfZ+mcWlUsnzVbdvb7LeLK62NYS53L5BTlFhry8wkvkYzjpmf4VBosVMH3mavXVxp7WWRZtnL1jOSVFBbZebz9WV61zkqMz/D4XC51DXWbsfbvHLmaDmorQ0LiqSQPq37q2HLx5OTmecIiug5u1/E5V7bjL4hb7Pq01y3qtrawIZmSUEBZ5zyVpkZjmIaZ/DeQTt1TRLM0PA2L3co+ui9bu1p0Cl4PyPHnFNhq8xIG9I7aJWT1zYzFL3Nq5mX3tpS1fwbGhGqyMz6IQp7m20K6SK++Z6ptaVbipKXrfy6GmVGem/z+xn5WXPT4wxRb7O9cKm1FXhLjTMAZ7tRZr7x39s8q2Vm6HqbbU/plNYu+/2MKRzo8vHF6wAIiFxG2AEzM8Ai18O8IpcRM8PMVBa5jDpiBtTUPImZyRe5jHphJsO87BEzkylyGfXCDG+8EdqaYAapAh5n8kUuI+yAG2IG/GLA9zMgIpcRM8PMVBa5jJgZZqayyGXUMTPDcVpYMS08A2dGXj4CtnrG16Cb8jbP5ehrZ/QyDX8qvnYGpMJmmXk/i8k2k/y680D/DKzs1W3O2yyFvFr/aV7ovP5TcW+z13qdWX4R2ZlZPGdoczPYtZlPgY8zs5r0Nmt2ZVst+p+Ke5t91uvc8ssoxAuAyQz4zKw3b7NmV3a4QVd/quBtdluv88svIhczL6fjC+r9zN3/kuEEITHTpLfZZFeOYaa8t9luvYYpv4Cc4wz67wEsApymYTDTprfZaFeOG2fqeJvHMW9i2Cgz38Nxvu9H+j0AWS0z06q32WxXjrqfqeJtnoPf2v2M9JuAWOOM1GyQd6PAzDTsbXaUHfzcrKi3OcR6nVN+GdX9fsZgzc0XLDONe5sfkvnQvoQx5cLfz2SI1wEQELmMsANmZoBFrod5RS4jZoaZqSxyGXXEDKipeRIzky9yGfXCTIZ52SNmJlPkMuqFGd54I7Q1wQxSBTzO5ItcRtgBN8QM+MWA72dARC4jZoaZqSxyGTEzzExlkcuoU2a+3nbK0o6k99H6mUFYu+Fr0I17my0ZjepinadRVBHYOYg6BYGNEFM+rsLGmc/Xl6QlZz5mULy19uo68DYbMprltBPn2CY1RZwCx6LSlPJLKIiZjxPOO5twvLXg48wsAt5mR/zOOnLeoqwr4hQ4myW1fFwFMJPx0vNgLwCk0Jgh4G12xe9wkkP/MEP4KXA2S3L5uPIz8/W2SzPPhDCD4a1FYoaEt9kRv8NJDjovG8fumZmdZzjjDJHfA6DibbZnZP5gyMEJ6pqZZFdz4P0MhrcWnBlK3mZrRutPIrmaH+r5fuZ23Sfe/Qcxg+OtBWaGlrdZj186xuQkx0Am5hRs7bnZcMz8ibMNfD9DztusZWTIZTkYfl42jvz9DC4zCKrboBgilxF2wMwMsMj1MK/IZcTMMDOVRS6jjpgBNTVPYmbyRS6jXpjJMC97xMxkilxGvTDDG2+EtiaYQaqAx5l8kcsIO+CGmAG/GPD9DIjIZcTMMDOVRS4jZoaZqSxyGfXLzGxvTl6m6V/XrAhmFYevQbv1NhsWKuG8FsBn+MmuslVmPl9fJhfA+1ng+DRlwXk47NX17W2+a+9M1vcAyR4wjJu9YWae9syPE/q7AQG9teDjzCzS3ubV+n/dOgoIjTVgIDd7q8wsRoB021koM6AL0tGYIe5tvmvvTNb3AMk1G4dAs1lmHtMzIVInZuHMFLrITerV27zcSizjkr4HRA5mQNzsrTKzzM3SnWdhzBSbTNuq687brE+RYH8CyDXOQLjZG2VGdjWjvrcZ3CgIzszmvM3WSSaUHPczIAbRRpn5Ho5iGWfwngHAe2uBmdmet/lZr74HSt7J5DbHme+/fz5OzysY2nubMby1sMxs0tvM38/kiNcBEBC5jLADZmaARa6HeUUuI2aGmakschl1xAyoqXkSM5Mvchn1wkyGedkjZiZT5DLqhRneeCO0NcEMUgU8zuSLXEbYATfEDPjFgO9nQEQuI2aGmakschkxM8xMZZHLqF9m5rUzSO85G6VlhgUW1T61HW+z0RzuKFNv7YTf5A8R9hlvlZlljSaa50xZJFjAp7lRb/Mc+OXuKlNv7aR3v4QI+4w3yszKC4Cyrlk6U4BrNcHHmVlNepvniNcFrMvUW9sZUo6wz3ijzKy8ADj+mbkJIU8ZGjNNepstJVqiVVrbGVKWsM94q8ws9zO78wnNczZNhYpMDCZtydu8lKAPXIYy1dauwQzMGW+XGRkeFGZw5tMYzLTpbQ6PVq11uaEqzQzQGW+fGSyfJtI5A2emVW/zEkzIqGVo7eL3M1BnvFFmvt52kz1zOAqk52bqbwU1+gygdW+z2vccZeqtXf65GdAZb5SZ7yLfz2B8PwDLTOveZjV2U5mmXCK/IIoV9hlvl5n8jdcBgIhcRtgBMzPAItfDvCKXETPDzFQWuYw6YgbU1DyJmckXuYx6YSbDvOwRM5Mpchn1wgxvvBHammAGqQIeZ/JFLiPsgBtiBvxiwPczICKXETPDzFQWuYyYGWamsshl1Dkzikkz9k0B4WtnShieljo34m0erVZh45JLeWHNdHjxtTOGGEDLLyEHM7fr/pHbk5n4N58Fr9Es4znbnLfZYBXWM5qlNXL5NZpAJ7pZZrRxZjjOw0vgm5yjvACNrmuW1Jy32WoVNsWv11HV24xSfhFFMJPwtsAoL0Cz/pmnGvQ226zCFmbUWVEdz1n+zKxrZpbpLeR7g5GYadTbbLYKm5jRvCsVmNm8f6YAM7MAf6wJg5lGvc3WGxLPVOtxdJ3fA1BjwCsfTzXvZyQ17NNs2Nts7/RBzFS4n9FjQCsfTzHMQD83U576NPtbTS17m61THcvccvFrruaLhZ6bGWIALb+M+PsZz57Gvc2WL1jkjAy5zHVV9DZv+BlA1sbrAEBELiPsgJkZYJHrYV6Ry4iZYWYqi1xGHTEDamqexMzki1xGvTCTYV72iJnJFLmMemGGN94IbU0wg1QBjzP5IpcRdsANMQN+MeD7GRCRy4iZYWYqi1xGzAwzU1nkMuqcGf0FtBGvpA1jBnZ9IKK3Wbck+0zCqzUsgZ/KykhzO3vtxB4jd4IgTkFO+bhyMKN5mw17MplxGHHTFVNdwB6DATvEJKyXnG4tjsjI4HZ2dEfTx3HfQxZyCnLKLyEeZwL3jEs3ijAJS/+XYS2OyEh3O/s7vzmOnLPS7TjDzKiaL+ERJmG1N4d+Kicjze3stxMvH4dyoTEzzMzU8TTrh9ckrF63U63FcRmt3M5+OzEzEydmJnDPaOxzPpOwObVYa3HS3MxQpKUWZiZOzEzgnnFM+a0mZzkI9zPuTu9lhu9nQsTMePZIg8sypwo2CRvLibYWR2RkmgH67MShw1S4mJmumRmdlmCfSTi0HMDvZ/QytXpX+fL3M3HidQAERC4j7ICZGWCR62FekcuImWFmKotcRh0xA2pqnsTM5ItcRr0wk2Fe9oiZyRS5jHphhjfeCG1NMINUAY8z+SKXEXbADTEDfjHg+xkQkcuImWFmKotcRswMM1NZ5DLqnJlC7wUAXD3ja9C+vM2SfWZdk/FPWrIpigo4oQ80y8zayfz1tnuicrvuYd5Ba1jBmC17g/bpbVYPd9icL3dTsikKDzitDzTLjGGcmTfwdwMCvjQIfJx5iqa3WTnO2sbanwqva46rkiIzMOOMpKbfDTiJqLdZjt9Wh9FqgzLOPBRq6UstH1cpzHy97cT0kkAYZn4A33TO3uaVt1na7Z6XrQoodj+zVBrcB4gxEw5MIDOwwIzsbfa531wfV2Is59OM7QOUmIkCJoQZcGBG9jabOIyal3k/4lXUKUjoA3SYGY7hvwYYxMwd8nXNs2CZoe5tflYehAzUk8y4gOPrIcPM8uWMEEKI/Odm9+AXF0cJfJyh7m3W8nMNcHqQCQoPOK0PNM5M1sbrAEBELiPsgJkZYJHrYV6Ry4iZYWYqi1xGHTEDamqexMzki1xGvTCTYV72iJnJFLmMemGGN96obBWBWZipGwSLRUjMDIsVJ2aGxYoTM8NixYmZYbHi9H/d6P50hiqisAAAAABJRU5ErkJggg==" alt="" />
代码如下：
select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
1 select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
4.统计每一个客户最近下的订单是第几次下的订单。
aaarticlea/png;base64,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" alt="" />
代码如下：
with tabs as
(
select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
)
select MAX(rows) as '下单次数',customerID from tabs group by customerID
(
select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
)
select MAX(rows) as '下单次数',customerID from tabs group by customerID
1 with tabs as
2 (
3 select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
4 )
5
6 select MAX(rows) as '下单次数',customerID from tabs group by customerID
2 (
3 select ROW_NUMBER() over(partition by customerID order by totalPrice) as rows,customerID,totalPrice, DID from OP_Order
4 )
5
6 select MAX(rows) as '下单次数',customerID from tabs group by customerID
5.统计每一个客户所有的订单中购买的金额最小，而且并统计改订单中，客户是第几次购买的。
如图：
aaarticlea/png;base64,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" alt="" />
上图：rows表示客户是第几次购买。
思路：利用临时表来执行这一操作
1.先按客户进行分组，然后按客户的下单的时间进行排序，并进行编号。
2.然后利用子查询查找出每一个客户购买时的最小价格。
3.根据查找出每一个客户的最小价格来查找相应的记录。
代码如下：
with tabs as
(
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,customerID,totalPrice, DID from OP_Order
)
select * from tabs
where totalPrice in
`(
select MIN(totalPrice)from tabs group by customerID
)
(
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,customerID,totalPrice, DID from OP_Order
)
select * from tabs
where totalPrice in
`(
select MIN(totalPrice)from tabs group by customerID
)
1 with tabs as
2 (
3 select ROW_NUMBER() over(partition by customerID order by insDT) as rows,customerID,totalPrice, DID from OP_Order
4 )
5 select * from tabs
6 where totalPrice in
7 (
8 select MIN(totalPrice)from tabs group by customerID
9 )
2 (
3 select ROW_NUMBER() over(partition by customerID order by insDT) as rows,customerID,totalPrice, DID from OP_Order
4 )
5 select * from tabs
6 where totalPrice in
7 (
8 select MIN(totalPrice)from tabs group by customerID
9 )
5.筛选出客户第一次下的订单。
aaarticlea/png;base64,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" alt="" />
思路。利用rows=1来查询客户第一次下的订单记录。
代码如下:
with tabs as
(
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,* from OP_Order
)
select * from tabs where rows = 1
select * from OP_Order
(
select ROW_NUMBER() over(partition by customerID order by insDT) as rows,* from OP_Order
)
select * from tabs where rows = 1
select * from OP_Order
1 with tabs as
2 (
3 select ROW_NUMBER() over(partition by customerID order by insDT) as rows,* from OP_Order
4 )
5 select * from tabs where rows = 1
6
7 select * from OP_Order
2 (
3 select ROW_NUMBER() over(partition by customerID order by insDT) as rows,* from OP_Order
4 )
5 select * from tabs where rows = 1
6
7 select * from OP_Order
6.rows_number()可用于分页
思路：先把所有的产品筛选出来，然后对这些产品进行编号。然后在where子句中进行过滤。
7.注意：在使用over等开窗函数时，over里头的分组及排序的执行晚于“where，group by，order by”的执行。
如下代码：
1 select
2 ROW_NUMBER() over(partition by customerID order by insDT) as rows,
3 customerID,totalPrice, DID
4 from OP_Order where insDT>'2011-07-22'
2 ROW_NUMBER() over(partition by customerID order by insDT) as rows,
3 customerID,totalPrice, DID
4 from OP_Order where insDT>'2011-07-22'
1 select
2 ROW_NUMBER() over(partition by customerID order by insDT) as rows,
3 customerID,totalPrice, DID
4 from OP_Order where insDT>'2011-07-22'
2 ROW_NUMBER() over(partition by customerID order by insDT) as rows,
3 customerID,totalPrice, DID
4 from OP_Order where insDT>'2011-07-22'
以上代码是先执行where子句，执行完后，再给每一条记录进行编号。