才想起来总结这两天发现的一个有趣的现象:

在SSAS Tabular 模型中建立了关系之后,在excel中分析发现:

产品库龄作为量值:Aging Stock:=sum([DISTRIBUTOR_STOCK])以 区域维度Distributors.[Distributor code] +销售渠道维度Products.[PN]/Products.[Channel Mode]+时间维度Times.[YEAR]/Times.[YEAR MONTH]

YEAR 点击筛选,值选择2016年~

以以上维度进行透视表分析时,channelMode出现空值,即vw_FS_DIST_AGING_STOCK产品有库存,却没有销售渠道信息,

说明:因为Channel Mode并不是内联关系,是Products的一个维度【列】而已,由使用者自行拉取,在模型关系没有错误的情况下,应该是数据出现的问题!

说明事实表与Products关联的时候,Products.[Channel Mode]出现了null值!

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" 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以下是模型关系:

事实表

库龄表:vw_FS_DIST_AGING_STOCK  度量值DAX函数后:Aging Stock:=sum([DISTRIBUTOR_STOCK])

维度表:

产品表:Products / 日期表:Times / 区域表:Distributors

关系:

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" alt="" width="622" height="294" />

编写sql代码查询:

SELECT DISTINCT  SUM(DISTRIBUTOR_STOCK),ITEM_CHANNEL_MODE FROM vw_FS_DIST_AGING_STOCK A
INNER JOIN CB_PRODUCT B ---INNER JOIN--
ON A.ITEM_CODE=B.Part_Number
where B.ITEM_CHANNEL_MODE is null
group by ITEM_CHANNEL_MODE

请注意这里是:inner join ,以下是查询结果-->并没有任何记录!

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OEEEJ1Co9HCCGE6hQejxBCCNWpF4+f+2L5MmbvNYQQQmj5erl3bvY4ivTux3ezx4AQQggtXJvVGfzD5+P+cj/3VIKL2TsKIYTQOWutHr+KofwqgkQIIVSrLI/fXcvaXsSaOGjR4z99/PTp46fb32+7Onw4zNi5zXzDjAEghBA6Z2U8/uY+vOg67BTZHh/92Wv0sp9Ej7+5jq8cfPrytLu+mbFz1zLfgBBCqEqVjePTEfz24rh9Y1aQ8/iNjlam7fHPX5+PT+H4FA53z7sLPB4hhNCZyvL47sj4ePd9/dPHTy9r/ws318ftm51a+jefNiy86+XaeiTD4x/+eDjeH493x8Pd8831caDHGzF4JiTweIQQQjPK6/HffT2E299vG4N//vp8c318+8Nbueici7cpY43jb+6Pt7/f3lwfDx8OjYo8Pg1YXPFHi8cjhBCaUZbHHz4cHv54ON69XM7WqvHR5oo22+NT8xM9PrseyXk+/nD3/DKgvz/e3B8f/3zMd8drU+8u7ajweIQQQktTxuPFcfzN9fH563Nz2vvw4aB5/EsFygi4m2Gscfxf//3r6cvT05en43043D0f7p67MW/f7Dw2LwbfL1o8HiGE0Iwqn6v/X7j9/fb7dW2mxxs+PSS/5vGPfz6+mmy4P4YQwvVNuN7dXB+Pd5bNZw877AjxeIQQQkuT5fFXv10d718m6ttT3c2yPed9c32TnatvZ7xFy7QRS3bO1b94fAghhMc/H7cXu+2bnfMKQWMT43iEEEKrUMbju3PdzUV2z1+fDx8Ox6fQzIdf/XZluOarmnJX3j1I579FGR7fTDA8fXk6Pn3z+OtduNiFEHbX25vr4/YiHy3jeIQQQhXI6/HN/Hx7Dr494Z31+O44vpsY5dFWRNke3xj88Sl0R/bPX58f/3y8ubfu9NPCe2AcjxBCaIXKeHx7FX13fr65nP7qt6tGmmtGzqcNizXv7zdX3xr88f6bx1/swsX2r//+tbveZj1+I51W0CLpN9+AEEIITaOMx7/94e32zS5adlcauWrqewdaqrzH34fd/ba9L+Dpy9PDHw+fPn7yP7HH3uSceMDjEUIIzah6/neuuXK+eRJOoxePv9iGi+3x7ri92Boe77lc4CHxeCNRixMhhBCaRlV5/PZi9/5f77cXu0aNx788A+fbuYYe5+O1SwqimXw8HiGE0KJUj8enahw91dLiRAghhE6hmj1+dq0lToQQQlVqxR4fAAAAQGeVHo8QQgihrF55/P5yjxBCCKE6FHv8ux/fIYQQQqgCCR4/5amCiasbnbXHvxboZwCAHsge//D5+Pj5eOpl95BimhqJf43L6Q89AQDqQPb4aX6+u7/dsxvJGca/liUeDwDQD8bx5xv/WpZ4PABAP85iHL/ZbLIpS47/zJd4PABAP5Y+jm/M2PjX9ianlt5ujUpOU3rYP+P46T8nAADgZ9HjeNFu/fbc5kzTxb+HL7V5Mf70UMOf0sam1ajtla5H8aSt1vohitDoATHmqD+jGsW2F/UzAAD4We44XjMA2wLFnN30jXSIkJbpsR8j/rTG7jKNTbTtbJnONqZ5ilLsA47I7D0RijE7+xkAAPwsdxzvsTpxZJlaTmqoWTv32I8Rf/agIY0wHRN7DjtES44OFLpmbKR4DobS3hZL81i70+Af8HgAgL6sYBy/ySGanD1e7Geo/vi1GtPDkdR0iw5utH4QLV88pBDj8fRAGrN4iCCavdHzdj8DAICflY3jUwMzTF20/8jkDAMbEr8WYXqQkcZfdNihWWlqt9EhhZbi74E0ZvEQwROhv58BAMDPCsbxhjV6jCe1Lo1s7f740wjt8rvt0lpnHPREVhq1KBptGylFPZDG7B/H9/6cAACAnzWN450moZlKa2m2WRqG6o/fOY4XD0o84/jsKHnEFLvHeo/j/WaPxwMA9GO543jDZgz7MUb//jzOaWQxfnFuoH2p5fGM47Vy0jKztWgp3fQIrceimI0YjP7x9zMAAPhZ7jg+NRJ7ROscAYsGFpnQiPGzHPdzAgAAfhY9jjdMNx0LamPNdLxojEpPEX+/pWckPeVyxnjweACAfix9HL/k5drjX8sSjwcA6McKxvGLXa49/rUs8XgAgH7IHr+/3E+j9rd7shqJf43C4wEAeiB4/MQKIUxfKfGvTjN/UQAAVog8jgcAAIC1g8cDAADUCR4PAABQJ3g8AABAneDxAAAAdYLHAwAA1AkeDwAAUCd4PAAAQJ3g8QAAAHWCxwMAANQJHg8AAFAneDwAAECd4PEAAAB1gscDAADUCR4PAABQJ3g8AABAneDxAAAAdYLHAwAA1AkeDwAAUCd4PAAAQJ3g8QAAAHXyf5PFYEznxI8XAAAAAElFTkSuQmCC" alt="" />

感觉很奇怪是吧,如果试一试LEFT JOIN呢?<数据不一致是因为一个是测试库,一个是正式库,请忽略!>

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" alt="" />

这样就很容易说通了,以下是sql查询:

SELECT DISTINCT  SUM(DISTRIBUTOR_STOCK),ITEM_CHANNEL_MODE,DISTRIBUTOR_CODE FROM vw_FS_DIST_AGING_STOCK A
LEFT JOIN CB_PRODUCT B --LEFT JOIN---
ON A.ITEM_CODE=B.Part_Number
INNER JOIN CB_DATE C ON A.YYYYMMDD=CONVERT(nvarchar(8),C.[DATE],112)
WHERE DISTRIBUTOR_CODE='DC'
-- AND B.ITEM_CHANNEL_MODE =''--AND B.ITEM_CHANNEL_MODE IN ('CON','KAB','SMB',NULL)
AND LEFT(C.CURRENT_YEAR, 4) + '/' + LEFT(C.MONTH, 3)='2016/Jan'
GROUP BY ITEM_CHANNEL_MODE,DISTRIBUTOR_CODE

查询结果:

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" alt="" />

换为inner join之后的效果:

aaarticlea/png;base64,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" alt="" />

SELECT distinct a.ITEM_CODE,b.Part_Number,b.ITEM_CHANNEL_MODE,DISTRIBUTOR_STOCK,DISTRIBUTOR_CODE FROM vw_FS_DIST_AGING_STOCK A
left JOIN CB_PRODUCT B ON A.ITEM_CODE=B.Part_Number
INNER JOIN CB_DATE C ON A.YYYYMMDD=CONVERT(nvarchar(8),C.[DATE],112)
WHERE DISTRIBUTOR_CODE='DC' --AND B.ITEM_CHANNEL_MODE =''--AND B.ITEM_CHANNEL_MODE IN ('CON','KAB','SMB',NULL)
AND LEFT(C.CURRENT_YEAR, 4) + '/' + LEFT(C.MONTH, 3)='2016/Jan'

查询结果会发现有很多这样的数据;

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmIAAACLCAIAAABN4GLSAAAW6klEQVR4nO1dsY7juLLV79xsnO2G05/wwgvcyOgfGfQnDDYwOhqgf2CB+YIFJmlAHQzgzXqDG0wwgYMJOrgBXyBbTZNVxSJNlSjpHBwQbFoSqVKxikdS292/fvu/gcfv/fF77xaFYcwgCIIgOBE7P00uLvHcfbybfQwgCILgivmeJheXI4/f+4dPD3MLWhVmNxQIgiBYxsWnyUUIykUMEgRBEIypSpP7A83dfUjj0ZNp8ttf37799e3rn199Pn15mtHKg+qdcQAgCIJgGbVp8vHFnXlwe4Zymuy6TvizjGSafDyELyKdfp72h8cZrbwU1QuCIAgGLFSTsY7c3fe7D2JPqTTZ8eCOKafJt19v/cn1J/f0/La/R5oEQRAEs6lKk74+65/f69/++nau/c89Hvrdhz3bzSXVCVnQT4dcPaCQJo9/H/uXvn/un57fHg/9jWlSGINGFiNNgiAILpTZafI9NTr39c+vQ458+/X2eOh//+13uo9UIhxbaqnJx5f+659fHw/905engVlpMh4wWdGPFmkSBEFwoVSlyacvT8e/j/3z+e2YkUMqGl6QkdNknD/INJmsB1Q+m3x6fjvLypf+8aV//ec1bZfrvOiX8qiQJkEQBNdEbZok1eTjoX/79TY8Anz68sSlyXNPjA7zN6ilJn/898fp5+n089S/uKfnt6fnN3/Muw97TaYkB182WqRJEATBhfKGm67/c1///Pr+moyYJoVUd8v2XJp8/ef1SvK+9M45d3h0h/3joe+fpUyZzNzyCJEmQRAE10RVmvz8x+f+5XzHdXzsN5Tj87/Hw2Pyput465LMOjLIIytvup7TpHPOudd/Xnf3+92HvfKFI+EjqEkQBMHVU5sm/ZuWwzs7b7/enr489Sc33Nj8/MdnIfFcdZl6kedIPQskKaTJQeaefp760yVNHvbufu+c2x92j4d+d58eLdQkCILgxpmdJocbrePzyPHhXzJN+mrSbwy24Sok5TQ55Mj+5Hx9+fbr7fWf18cX6d9XuOEdoSZBEAQ3Rm2aHN9r9W+0Di+4fv7j80Au8QTJgxNnXPosu+k65sj+5ZIm7/fufvfjvz/2h10yTXbU/WFuJGWqFwRBEGyf2jT5+2+/7z7sg9KvDFR1WfpvFTHTafLF7V9245u6p5+n49/Hb399038ZgvyRUv4iTYIgCC6UK/yFkOFd1uFLBgae0+T9zt3v+ud+d78T0qTm0ekxSpNCIzdOEARBsH2uM03u7vf//s+/d/f7gUOaPH+9wOWmccGzSe7xanBLFmkSBEFwNVxhmow5JMWYrY0TBEEQbI2bSJOzcynjBEEQBAOuIU06AAAAAJgGy06TIAiCIDgp6TT58OkBbJyu60Bwas7u5yA4O9k0effxDmyZswdQcAuc3c9BcHZKadLy5q9xd8vFu6GGQLY9wFUMcDeuw4DJAE+ujolMmkiTx+/96/d+6tLPyjY9LrS8Wr50neu6FkY1lwVaGM8qy7ORu851XQvjWWUJT57Kb+3TJDymqTJOky2Mai4LtDCeVZZ+mmxhPKss4clT+a19moTHNFVCTWJFZVBCTcKTl1hCTaKM/GCTUQwrKoMSahKevMQSahJl5AebjGJYURmUUJPw5CWWW1STwVeKZ7UcLxWux2AvvyXunRvPzH5wiWLTjSq2c9ZeU1uAvJpdZBO5xfcZskdur7gu2I1rIUeovyLBCJO+nTz+1Xy8XofFR4jPLu5dtoBmpvvbkNuTvXNj1kQDzZGFvZIepfRk4doFLfE2muNw25Dbk71zY9bMown91j5NTh33BY8ho09QDrYOPu1SnsodM/i0iyJg3GJccmoyHqGyTG5fduTp7COswbvrmB6U8bkE8SJpH8EfYvtkeZHer+IxK0eYdR05NUmOU65r5ix57slzEY6fZVvNmIsjRoEnJ71L9vO6XiocP8u7uDFP4rf2aTI5siqlMvYJV9q3ZlbsEzxJnp82lpH8wItiWfOTixGcrQrOWuPTt1sgeS5k5PVtNbZoYqjgIbG/xXYjWzjfE65XMGZlvI77Ss/H6K5+VgRPzll5X2XETNazIjjXLkf5YMzKmcJ5MuddyTlLeru8ryY/aerJ+CPPzcp+a58mNdf79vLG2OdHqLLYp79mQTQ0LgU1GZ+v3+JH1U7cK7aM76nxcToPwV6548m1QPBpfJwuiry5YyDb/VP2PSS2QOBFZAvpe1xJ2j8ebUf5cPJah/MxX01y847cJr468jbJ3sk62Rdn1WRMIK+1fJxcT46vHefJWd6u3CbZO3dF5HOXR1vZb+3TpOZ6317WVZNBWfeacTPEpkyqSfkskvGLs5W/L2kN8iokWwosWVdNJq8pFw3Js4u9KLYb2SJ4JjkebuRJ+yePfzUf89WkbHluzgrbyL6kqevnrDAe8srKV6fYk+PzTfqhxtvlcxSsraknvUuem5X91j5Naq737eXtsY/0VH3sy7pmNjZJ+wH1bDKwzAD9TBNmvuzBZAYKWjTjybJA8lz0cYSzg5wDkmenaZE9kxwPN3Jl1NPOxyI1Kc8p/XHqRnClBfRHFmZTQUyXvUvpn5y3Z22T3Evpb1lzs7Lf2qdJ5fhuLKvEPjmCyFco95opZ0L18kY1GR9TGZcFa8SlsvcyG1ZZUQkjF46gObtaLfL14kae1Vd6Pt72bHKJEVxfL+tL48llq4Gktyu3Kes96V3xXhP6rX2aTI6sSql8y//Va+S20cS++DjykYXxGJekmozPJTij+FwCDybbgyOTtgo+jW0lHE3oV2kBYTzxGOQxCyMhjxMfM9kL1xLbhLSeHzU60dqaUanm47WajI8Qj5bshdsrPoJ8nNhXC/oSrm/Wkcv6yvJkwaOCbQQfEOIAeZzAw8m5nOxLM48m9Fv7NDlFrFd6DMqEH2zyv7/xTRQGJb6FB568xHKLarJWSa6kZr+iFfygdhSLDTX7+coWqH781iww13hW/C087USDFWuDmf3WPk3CY5oqoSaxBjcooSbhyUssoSZRRn6wySiGFZVBuWI12U4JT57Kb+3T5MOnBxuOp2fW40IZpMnZxzOjBWYfyYo5psnZR7JiwpOnM6ldmjSmc86+0yVyMNQQxWYfzIwWAKc18oYdzM7I8OQJTGqaJlvQ0Si5EvfEUE5abvOuPsqll9Zp8nWaLkkMWdmsu0XjfF26znXd3GOZB5aeuV1s2MHMAE+ui4nsmVCTzuSdGvusvGgcN58msaKywIYdzAzw5LqYTU0aKGU/KwNJQE1iRWWBDTuYGeDJdQE1CZxxpSZBcFICUwLaoC6gJoEzXpEmQTMCUwLaoC42qiaH7zoaKyP8j4S94h2DdmFjsnehO/9Tsi/5IHqQ64lNGYpbUcmjijcABMgRRzZg8kIrW1YPYS5zxtmUfXLRiprsUr/HNF7LWmrSj6F+JTlRlZW4Xd6L64gcmGaoueDi13YMxa2o4qMFFc04gQFCxJGDde6F5lq2AOVc3qZxCtCEmiTz39BI5ssqzyb9YDe2uJS73Bj9hd65jsiBTZEmZS3lNmAobg0uDAlpMhdyBEearAKlNtiOQW5Eo2qyY36Pl9OdZWqyYCKRu8Sr4OQxa0V/svcy6NcTwrDlMTduqKQF4iH5cafWhVg35AiONFkFBWoSENCEmow1Ysf8qq0+R2rUpKMiYOLE+LnHHYeL/nHv8QbJTvUjTyIZv1ZvKHnNSIaY+KQQemTId7aRJqsAarIuWlSTHXWvNTdHKp9NBoLAKVyHSxjccWaP/kro1xNrNVRyzRgnSKTJXCjfkyI3COpIkxygJuuiXTU5oixHKtVkXNFE/6zjaFKF3ItNCKj7rlO8QfuGSj6bRJq8HcVvuiJN6lGgJrdjnAK0qCbj3FmQI2U16a9bA73ir2cFfRMcx9+FPA73p9BXsJeypRjCf85sxFCyBYIBxDapdSHWjeSd7eoXeoOXRunJbpPGKUATanK8VHHu7C7v8viooiaBABOtmBYEWMAAmI8GgCfXRStqcooS38KTBcQvWMAAmI8GgCfXRRNqcqISajILiF+wgAEwHw0AT64LqEngDMQvWMAAmI8GgCfXBdQkcAbiFyxgAMxHA8CT62I2Nfnw6cGAUJN6IH7BAgbAfDQAPLku5lGTdx/vzAiPUQLxCxYwAOajAeDJdTGPmjS444oSJUqUKFFWKa3T5NFwpQM1qYfldWkTsIABMB8NAE+ui4nsiTddlwfEL1jAAJiPBoAn18VsatJAKeNN1ywgfsECBsB8NAA8uS6gJoEzEL9gAQNgPhoAnlwXUJPAGYhfsIABMB8NAE+ui42qSf93J4Ivzhe+Lz/4+YJ43/jI8cZk70J3wtf5kwMoBhm/NmUoLoLLo4o3AAQIESewnsakyUuvbFkZhLnMmWLF1rgdrajJjvrdj+76t5oH1FKTfgz1K8lpqazE7fJeXEfkwDRDzQUXv7ZjKG5FFR8tqGjGCQyQ1yL+n2Q92CWol7WsD8q5vAVTVEETapLMf0MjmS+rPJv0g93Y4lLucmP0F3rnOiIHNkWaTMav1RuKW4MLQ0KazIVSTSJN3gKlNljr6VdHo2pyyIVkRuwq/d4kGX+TfkPuEiyENcesFf3J3sugX08Iw5bH3LihkhaIh+THnVoXYt0QIg7SZC0UqElAQBNqMs6I3eXXmDl9WUVNOvFWj7xXvEvWJCd7jzdIdqofeRLyCnQLhpLXjGSIiU8KoUcG1KQBoCbrokU12VH3WqdQk466b6ZJAHL05wKo3Du5ATewKdKkfj2xVkMl14xxgkSazAXUpAGgJuuiXTU5Qt7yRjUZV5Q6SX8cTaqQe7GZ8HXfdYo3aN9QyWeTSJO3A2rSAAVqcq2mqIIW1WScETtKa96iJscc7CK94gsXQd8Ex/F3IY/D/Sn0FeylbCkG957ndgwlWyAYQGyTWhdi3Uj+143cUrZXgTMsGkpPdhswRRU0oSbHSxXnzs7LlOQ2xWoSCDDRimlBgAUMgPloAHhyXbSiJqco8S08WUD8ggUMgPloAHhyXTShJicqoSazgPgFCxgA89EA8OS6gJoEzkD8ggUMgPloAHhyXUBNAmcgfsECBsB8NAA8uS5mU5MPnx4MCDWpB+IXLGAAzEcDwJPrYh41effxbqTrOhAEQRBsl8ZpMrg7Ov/5gyAIgqBA4zQZ3nWZbBDOOTyb1OP1e+/cjwtPG6xfLNDKeFZZx3w0AO5s18QsaTJ403UYBN50nR3HqzS5RcICBsR8NADWIjUxo5oc89kwCLzpOjugpaCnDeqYjwbAWqQmoCaBEdBSsIABMR8NgLVITUBNAiOgpaCn8WxyHcBapCa2rCaTX5bfXSPYN3H+1GHH43AtfoUcIXkKQb34RwBILXXZ8Uc05h9co98eH7BlwgIGJOcjNyOUU0D29uIZsVyQaxHSnhojbx3tqMlO9wvMcUuZmgwcJdkS7Jt0Ke5ocTvXqbAl2ZHmLORhc1rqEutPfm7wKlfb+HkiOE77dU5PC+cb2yS22+zn1VRdno+k/yedP8v/9TNiuRC0gV/ZgikqoB01SWbEjvqt5ipqsjhNyhnU34zMgkJLslOuI273ZI8BuCdzl3MJsgVdiVPLgggLGFC+H4g0WQXcnW0hXAAsmlWTQ9bsol9jNlaTI4SNuYPnpkmuJdmXP0guBCSP4/hnk9dJYs1aStDTw7kz2XE9enreZ5Oxx8p+izTJoUBNAiyaVZND1vRzZ9wytZqMt1cudSumyWR3gt/rjz9A0FJeqoiTRJwS6Jb2CQsYUFCTuf6PNMkBarIm2lSTY33MnXGLgZokt1cucuNtkklLcFybNCk/m+STxHq0lPxs8mKBNetpg7pSTea2I036gJqsiZbV5AiuxfLZJJnS2JOnRGdumlRO5mSa1AcFWUspK35SiY/QOGEBAyrVpMZvkSY5FKjJtZqiAtpUkwZvujpP82W1+O1jXfhodMe43W+MK9x4cvsSziIAqaW8fd+1o4vEZRL+MZutk3raO4V37Ti2B9ukLDD/Oc5e16vJpP8rvV3TsjIk/+smbjQc3dLQlJrsokw5NMotZWoSiMFpqe0QFjAg5qMBhLUIkI121KReI9ZSk0AA7tnkdurcs0nUK9YxHw2AtUhNtKMmq+dIqMlcQEvBAgbEfDQA1iI1ATUJjICWgp6e99kkUAtYi9QE1CQwAloKFjAg5qMBsBapiRnV5MOnh4HDIMY/6xJqUg9oKehpgzrmowGwFqmJudTk3ce7kcMg/Ja6hMcoAS0FCxgQ89EAWIvUxFxq0r87Ot2zSZQoUaJEifKWcs5nk962Uw3COQc1qcdx81oKFjAg5qMBwhgL3AK86QqMeMWzSTybnL6O+WgArEVqAm+6AiOgpWABA2I+GgBrkZqAmgRGQEtBTxvUMR8NgLVITUBNAiOgpWABA2I+GgBrkZrYsppMflm+sIHwnfrcBvKPG9Tq65YfASC11GXH8GdAhg2ixlPQPh7HP2azdVJPixYIfxsksJtvk0bOcfa6fj5qtilrWT3ItYgcHDZlnzy0oyY7KlN23q8x+7hdTQaOQra4KLdx7dzByWNy25AbxGNL9hVUhDEE4LTUGP01lXivBREWMKByPmq2KWvZAoS1iF/ZpnGy0Y6a7MRf0Yo/vVFNlqVJcnfh03jVJuyub5T7Kp4J3LPJy8jff2/ykgDef3/xOiVcbUMes80692zyYgHifGOb+HZr5Lyaqivno2YbpEkO3J1tITgALJpVk0Ne9NVk3WeTt6RJTeryk2LcRd00SfYVVIJtSAhaykuTcZKIUwLd0j5hAQPKzyYFL0Wa1KNATQIsmlWTQ1701eSI2dVkscKTE1jdvuJOk0cTtJSfKqLcsB4tJehpzwJr1tMGdeHtEtk/kSb1gJqsiTbVZCfea9VnyinUpMaxhHRolpJdfpiQn8zxaTJOEnRL+4QFDJiM4ElXF3wbaXIA1GRNtKwmR3Dv9RiryWAzwcOSqUuuKHtRHlAfJmQt5SjtSCaJMamMx1mKrpL1tP7Z5LUFQvu0c76z1JPzMenqgm8jTQ4oUJPbMU422lST5JuuddWkY57q+S1dCuNm5GGD42jqwb7kCDV9yefFgdRS3r5h3B//TBrK37FlwgIGTP6vQsfMLG5GFLSsHtxaBMYpQVNqsovy39AY6MsqzyaBGJyW2k6d09OoV6xjPhpAfk8KyEM7arLg/z1uVJNAAO7J3HYICxgQ89EAWIvURDtqsnqOhJrMBbQU9PRczyaBusBapCagJoER0FKwgAExHw2AtUhNQE0CI6CloKcN6piPBsBapCZmVJMPnx4GDoMY/6xLqEk9oKVgAQNiPhoAa5GamEtN3n28G3keBAiCIAi2SeM0Gdwdnf/8QRAEQVCgcZq0vOuCZ5N64G4YLGAAzEcDwJPrYiJ7ZrzpOl2JZ5NZQPyCBQyA+WgAeHJdTGTPjDddpyvxpmsWEL9gAQNgPhoAnlwXUJPAGYhfsIABMB8NAE+uC6hJ4AzEL1jAAJiPBoAn18VG1ST5cwTkN+jLOyYrQV3YRuiLa1GOWQkyfm3KUFwEF4zg/5kcJ+DEiBPYTWPM5KVXtqwMyrnMNQIBWlGTXeoXmMdrWUtN+jGOLIVduN1zP8rqS265HVz82o6huBVV8viacQID5LWI/ydZD3YJ6mUt60PWXA4+AmI0oSbJ/Dc0BvmSzKZlzybJuCb7Cvkp6XDJXBJsI/dlkyaV64m4LuwSN7ZsKG4NnuxRM05ggF5NZrUjTfrI0gZAEo2qySEvlmXHMjUZ17m95Ljpoog5afQfIQ9bg4rrCbdMQyXVJNejZpzAACHikKYW7Ik0yaFATQICJlKT/w8THgiksdpoSgAAAABJRU5ErkJggg==" alt="" />

通过以上验证分析,

目前还没有找到资料验证:

SSAS Tabular模型中,关系建立之后对应的是sql查询中的LEFT JOIN,这是因为事实表中的数据通过关联维度之后有匹配不上的数据字段就会设置为null值!

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