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!

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAucAAADnCAIAAAAy+m+2AAAgAElEQVR4nO1dS48dx3ntX5B1so0RZJGNViNkYe2ELAKKiRMHMmRHL0umZMt6WpZtKrQYKjKYXX6Alnch3A11MYBAwBCgnYAstCRGQ9ISiSFpRrAepijxoc6iZ1o9VfV99dWj69Xn4EC6Xe8+9VXVmb4PdhcvXb146ep7p+/pdx4Gy+d7p+8ZpgwsnGe2z2Yfw3IItaF2LYR6gep1w6v3Tt/Tf/hIY9za2so+huhsybVsacg+pIiscW+qdzrqUrtenUtWu5b9BOoFqjdxLecfa4xbW1vZxxCdLbmWYakwl1WzzL2JYdVzUbXadUldstpVxDDUC1Rv4louPt4St7a2xv+2RLiWWljs3iSZCGNKyaxLbV1eqB1X1ZL1hHqB6k1cy0dPtMStra3xvy2xYddS8lLxYLF7k3UiamRdauuC16V/sWrXcu5mH0PV6k1cy8dPtsStra3xvy2xPddS+Nuo3ix2b6ImIvsYlqO2Lnhd+herdhX7CdQLVG/iWi4fa4lbW1vjf1tie67F+LoBFrs3WSeiRtalti54XfoXq3YtTwuyj6Fq9SauZe+pZqh8Fjr7eCKyYddS+GpxZbF7k2QiqmNdauuC16V/sWrXcu5mH0PV6k1cy9WfNsOtrS3j6wYI11ILi92bJBNhTCmZdamtywu151C1TEK9QPUmruXaz5rh1taW8XUDhGuphcXuTRSrfrcOakNtXckyha1FvTJ52LVc/3kb/PaNocOv22BLrmVLQ/YhRWSxe5NkRrKPpG21aw/7MtWuZT8pXL3sI7GqN3EtnzwLls+WXEvbLHNvapVQG2rXQqgXqN7EtfzpebB8wrXUQuxNULtVQm2ol1G97sz22TPbZ987fQ9YC4cpA0EQBMGlsRv9y9HXfg+CYBR23Qdd90H2YVTK1XrjyuxjrpdQG6yFw74K1wKC8QnXEsLVevNN38uJcxRqg0sgXAsIzkW4lhCu1ptvXIBzFGqDSyBcCwjORbiWEK7Wm7t3v5ET5yjUBpdAuBYQnItwLSFcrTd37tyd8j//63cDT55647cnT73625O/efXEK78+/tIvX7lz5y7O0bhq84TaYC7aXUvf933fOzXaHyDBDfQaZu0l+4SBFVFxLWMU/fHTm0rE6mGsB5uemCb4c3G13ty+fVfhyVNvnDh56tUTJ39z/MQrvzr+0suvPP/iL4Ys5RwtRG1mGHqzeuKt23clg1eyqL5c1WYI1wLmYt2uxbjUAwcv7AsErdSftUyjiI9eYTAzDdbO1Xpz6/YdnVO/8vPnnh/T9XO0ELV1JyEf4a3bd6li+ouQeKDUpgjXAuaixbX0fX/5/24UuxvCtYAl08+1UOelcSW27Vq+unXbyOde+MUzzz7/9M+emSb6uZYEalOuRdK+7lqMhcPjQVH75Ou/G3jitVO/Pn7ixZdfeebZ53m1QTAN/V1Lr0FP18vrDzytDTJkillbY3ox1hovnUYILpnGz7Xw8X8UruWAq/Xm5te3jXzqp888eezpx3785DTReI6WoPZQ0sO13Lh5mxoJM3K/eNDVPnHy9dGvPHnsaSUXrgXMRU/XYl0bTKKxovdiM25J/DCOsnuWdVROwwOXTA/XQsUzvxL5VVApV+vNlzdvGfnY408+/MjjD/3o4Wmih2tJo3Z/YFlG4zJtTW9/fO3tWjwGaVT7hZdefuInTz38yON6FlwLmIupXcvwwJNvxGP/ZXYfa6Kwa4+NAFw4qe8Q8WFJ5VrP0ez3G5er9ebGl7dufHnr5Kk3Tp564/irr7340ivHnv7ZjS9vPfTDhx/8wUPf/7cHhwIDqXM0u9p9ctfCFLCqrfDBHzxkTIdrAXORcy29BipXb5daUZRrsTYoIb8L8P0y5Y1qZJ85sHzGci3MSmRq1c7VevPFja8H/vJXx5959oXHfvyT4fJfv//gP3/v+w/80/fGAl/c+DqWa4mudh/gWqbjcbov10FO1ZYQrgXMRbtr0V/rlzqpFSV51iKndVSS1S4cRsPHAzgT/VwLXz7KOVoFV+vN5ze+GvnDf390eqnTz7UkULuvxLXw8grVBsG56elajk7WktOKEj5rES42ak/hh3GU3X2ou/beDsDFMsS1CGOv4bBcrTef/fkrOUNcy6xq94RrsfaV2LVEURsE5ybpWsalYvzBIuvao6qMKcZLY4MMqb6MZYTp+tisaoCgkfJP4+qRLIk96jL7jUfhar359Iubcso/jZtS7WlrzE+28Il6R3wtv1+ZC1cbBBPQ8xf9jaslZBzRGwTB7MQv+odwtd786fObcuIchdrgEuj/7xAZ/1IJYfQGQTAv4VpCuFpvXJl9zPXSQ+13/vcyGMLsk14p913Lme2zA7MPCASbIVwL2CqzH/kNMPskVkr8m88gOBfhWsBWiXMX6uUiXAsIzkW4FrBV4tyFerkI1wKCcxGuBWyVjZ27Xdd1XSdPn0k96jOdxnR5YmOEawHBuQjXArbKkl3L1Gp0NJhaVEoC9ahvuYcXboZwLSA4F+FawFZZsms5OjEcTs5DtztZ1Js6D96FwLXAtYBgTEZxLfwvAjC/FGD9E20JGxw4E43nruRhhusbMUyDPLuu+7t/OCasyDySSf8OEQVJy0tY1HAtIDgXedfy1vb7OpUyyh5EXRrTrW5mCRscOBP1c1c54KlLY7rVzXi7ByfX4l09XL2BHn+BeJesl3AtIDgXGdfy1vb71z/55Nr161evXdu7cuXy3t6ly5c/vnTp9JvvTosxroU3NMaUo9q/BQaCfnRyLbyhMaYMiX/5t3/vOjBrX5JartXD1Rsody3jnyW3bt8Nf0JTF+FaQHAu8q5Ftyx/+OgjxbUohGsBC6H1cy25XAvftaSKJH0m9VyftejLuVWncnhS4FpAcB7yrkW3LBcvXmRcC29TnFxL23+KgQnIuxbhu0VMytED18K/hcSwW8DnWuBa4FpAMCZ517J35cp3Hzg+5fkLFyjXYjUlctfCPLABQSEZ12I1JXLX4vHUZFpd7lrKUc+JcC1wLSAYk7xrUZ6ynL9w4cPdXaNrYfwHU0byDtES9jhwDlLnLuM/mDKSd4ic/MdY2O8hzdxGR+JaJGsTrgWuBQRjknctumXZ2dnRXQvzcBiuBcxF5pvPeuEqXAv1XGcOEyP8lTnrY9F+8oYvU6wxwrWA4FzkXYtuWc6dOyf/DtH0UvIwZkyEawHDGeubz8bCY6Kfa3H1HPp7SVabFV29o6/9vu/7P356k7Eg1F8mfJn2CNcCgnOR/72W02++q1Mp05tgLMDXYnKzqwTWSMq1KDAW4GsxucKxhbsWpW4u1zKmU3+c9HiHCK4FBCMSv+gPtsrCf9F/pNFLUbbGarzmU09/xOL318USXcv+NQiCkZh9kYNgdNbiWsok1Avh/tZ6ZvvswOxbPAg2xuyLHASjE+cu1MvF/a0V7xBl5Gq9cWX2MS+THjMF1wI2SZy7UC8X4Vryc7XefNP3csK1VDRTcC1gk8S5C/VyEa4lP1frzTcugGupaKbgWsAmiXMX6uUiXEt+rtabu3e/kROupaKZKse1LOHLBeWwebVx7kK9XIRryc/VenPnzl054VoqmqlCXEvzh2hRXILaOHehXi6SrsX6ffGUv1Il/32tGrlab27fviun0bUY56scibx/eKCf/PKSx73EVcBjpnTX4r2smBux6jPN0kNFok85seQXALnUpjTPrkwgce5CvVzknrXoO52e67H8PGrxm47fnZezd6zWm1u378ipuxblXviJy0jXwQzlp64lQadxZ0pxLcxMTS+N6dbzVX6O8pcJlEzDQtSuV0CGOHehXi5KXYt+6c2ISzekqXJ2kNV689Wt2yNPvv67gSdeO/Xr4ydefPmVZ559flpAcS36jUxTyrlNj8EM5YtyLa4zJXct1uVmvJFe+0lviQKSo3dWJdOwELXrFZAhzl2ol4uerqWfQG+0PwwqXW9t/OcrhX1ZG+Qvrc3qKcYRWsn3tVpvbn59e8oTJ18fT8Enjz2t5Fpdi0QiZmDMnVpFkAgrj86hPONarOnU3VEVeXrMFP+5Fl1bRivqTqO7FqF0ruplZy61rW1SUvvtNmmIcxfq5WLQsxZmEQoL6OnUZsoveGvXwgaPshs6P0KK1lGt1psvb95S+MJLLz/xk6cefuRxPcvPtfCDMQ6MKRlXc2bwg2Vx+kfFmEvrCHl6zBTjWuTDZkbb2842JtFYxaoeJWbhzKi2sBfjkIpVG+cu1MvFeV2LkVSBnv07RtKXdQsIadA6QqebnWat1psbX97S+eAPHjKme7gWqw78nSrCMlk6nGJDHzzlWvym3jpCnh4zRbkWqzhC9ZS7cKpljQe+cVf1MjKv2tZcYzT29EIrgTh3oV4uxnctR4lFKKm1WNfyxY2v5YzoWsZL+Y7JZ/Ebq+vO28/jWpxmcEqPmTK6Fo/YY2rxZxvfl7C8cIRlMrvafnNh7Ssvce5CvVycxbXwBaha/YJdy+c3vpIz5NO4VJZ8x+SzPOKBL1+aa3GdKeqbz1Zx5BHLnG3CvvyyAsVMwxLUFvYiX4MlEOcu1MtF/28+SxLltY7O6Vr6AwiH0dN/hrq6Fl6Q4XK13nz256/k5L/5zO+kvETUnSolha5FrjkjXeDnWpSpt46Qp8dMRfnmMzNaZjqYG2RuXBgwHuqlZyFqMwV4eeFaWiXUC6Hnr8wxuUwtvUzcvqiK5y59yhfgh2ftyEqmYt/3q/Xm0y9uymn9lTkqUS9jvC/m0rXBEAGHYopr6R1nUJ9612FM6TFTRtfCjIFPlOQq6U7RGH0S87IEtfW61kHqc1Sg5jh3oV4u4hf983O13vzp85ty4hf9K5qpjL/oX9Qh1zwptafpLc0Izl2ol4twLfm5Wm9cmX3My6THTO0vMBAEQTAiz2yfHbi79xlYBbMf4aCV+Rc2CIJgkxyftWQ/jEEhje/ZA0VhWF25R7Eg7Oyezz2EpWB4jyP3KGoF1AsBXEutzB05gB1wLYkB15IMOHdDAPVCANdSK3NHDmAHXEtiwLUkA87dEEC9EMC11MrckQPYAdeSGHAtyYBzNwRQLwRwLbUyd+QAdsC1JAZcSzLg3A0B1AtBNNfSaXAtADrx8Cwegp5uTNFzgbho3rVQIeQRWnw7ShaV3oxrMUrHr3FXzYVqU+1nP3eZu7YK4rfvWTuaFmCy+gLUoyCR1FjLtReqcV7Dg3SZa3lr+32dRl+iv7ZegiGuRY8APb3TtiG/aAOc0LZrYQLM+FrSFFOXCtrpZQOuhTobhGo4deTafjnnriKRftRRJZlE106HlGPHjlGFqaw+t3oUPFYcleLXkbBZkWt5a/v96598cu369avXru1duXJ5b+/S5csfX7p0+s13KdcyvdQ9ClxLLNdCBRATWHAtybAc19K77HGB7bTtWgbM7VqMB7C1/TZcC+ULJT3CtRgvncS0xp4gXeZadMvyh48+8nYt4HyuhUpXQpAyN0BEwLXol/J2qGLLdC1U7riQ5YeHZO1bbVNR5y5174xl8ThoKddizGWy+sLUo0BJql/KxTSWp2KYTpe5Ft2yXLx4Ea4FrgVgsBzXMt1WqHRJO/olVcZ4GDTvWqhj2FpRL8CUlExBOeeuMcYokzE9CF3bpxqcSqq8Nmb1JalHgZLUWEYoJlWeimE6XeZa9q5c+e4Dx6c8f+ECXAtcC8CgbdfSH96adbMijDFqK5SkLM21WHPDXYvEsvTFnLu8/9CPvbiuRT6YulyLMMBiuRZh786uRXnKcv7ChQ93d+Fa6nUtvePSBTzQvGuZwukUZAq4mpjp5UJcC1NAUlGBX7MlnLuSHWxaRr93yQYor9WGa5HHnquYchlt/cpci25ZdnZ28GncAl1LR/yB28G1JAdcC5NOFZheGusy5Rt2LdRdC22HRxd8VvZzl9q+lHRjMb+tT6/F9MUPI7t6FFxXHFNL3otrbEtdi25Zzp07x7gWysHAssR1LT29y1tfw7XMjeZdi2B/sZwffHmnvnq4FpfVLTw5qPHU+x0iY2J3AHmnIcMo07V4rDiqQJTYC3Itu3ufnX7zXZ26ZZlCaYHJAkNcS08vOT1dSeFjCwjEElyLMPB6217GHCRMGCtVGnAt1C339F0zEkl6Mfard6G0UIJrkYSHPnJjLlXY2iYvGpVVrGuR3CZTa5oi6cXaPlEYv+hfJ0OiE0iD5l2LK5i9LAoacC0RMavaZZ67IeDP2rhoTz0Fsyqpupbv/NVfgFUw2QIDvAHXMiLNkQDXMiCB2i2du9RThPnQknoKEii571reO33PwOyHMSjk33znr3d2z4Mlc1hd2YcBgtE5nLvZh1EpoV4I911Lv/tov/soXEtFxLOW8oFnLYmxg2ctqdDw04IEgHohMLiW7J/YAHnCtdQCuJbEgGtJBpy7IYB6IYBrqY9wLbUAriUx4FqSAeduCKBeCOBa6iNcSy2Aa0kMuJZkwLkbAqgXAriW+gjXUgvgWhIDriUZcO6GAOqFAK6lPuquRf9pIOvr9F/2WyAW4lqMUSQPMCYm+UDVE5txLbykzNp3Fdw7vYRzlwkMyb3Idz9rLWtHBapHQR57TDrTOC8jVXhaBa6lPiquRZ/p6ZT32oqiygPRsVjXQgWnsLoxnellRAOuhdrTmWVOlaHat7YjSS/nt3GNWcZLJsvaF1+LOs6p3DJdS0js6ZfG9vnyTIHDr+FaaiNcSy1Ygmsx7teuLUjSmVNhRAOuZQBciwSFuBbjYV+jaxmQy7XwOwlcS93kXYseBIxrgWWZFc27ljHA9ESPRvhTRI/bRbkWa67HWhaqbUws4dx1dS3WupJejJdMa8asEtSjIHct1kR5O9SKJirCtdRG6nMtxpnWo8G6zIBYaNu18H9yyWOMcdXGRMavN+9a+NPRqX0ny6KXL+Hc5R0JFYEeux/V4HjZtmvp2VPDSUxKRqZrPR2upT5S3yEyhoLRtVDRAMTFYl1LSIwZA1vSb78A10Ll+i1kq0Fksko4d3nXwhTgs+QNWjui0ktQjwIfFUJjYW1c7lpM0Q7XUhv5bz4rEcC7Fnm0AR5o3rUoGNOVYq7N8tWpfvvFuBa9gPcqdm1nLFDCuWv0BJSxEFa3FlNCnYlGposS1KNglJQvwKdb27FqqLUD11Ib5Z/GVf7rFIJAONp2LSP4iAo5gPm6em7DriVQZElFYyNU+RLOXVfXIjc0wgatTbXtWiKudKYFuJYWCNdSC+Ba+sMB6XQueuxxcC3TlChqL8S1dAew9gLXIokZp9hjUohicC11cjqpUyhxM/53+kIvD8yBJbgWYywxiX6N6HWN6Q24FtdbHrOM7Vi7oPq1zmY5v9fCCyXMooS1NijpTm+wTNci1M2aLlRSmGUqCddSFYcHLcOzFioygEKwBNfihLkjtgHXEhGzql3muRuClDtqe+opmFVJg2sBiyVcS12AaxmRJlzhWgYkULulc5d/0DIHWlJPQQIl913Le6fvGZj9YAYZjq6l7zoQBEEQXBr3XcvFS1cvXrp6Zvts9oMZZAjXAoIgCC6ZqmvJ/rkNkOfUteAdosKBd4gSA+8QJUPD73EkANTzBFxLvdx3nUDZgGtJDLiWZMC5GwKo5wm4lnoJ11IF4FoSA64lGXDuhgDqeQKupV7CtVQBuJbEgGtJBpy7IYB6noBrqZdwLVVgCa6F+Tkp13acfnjKmN68a2FUdRLcWNj6C2DTlJLP3e4wqHSn7+gyhSVRWpF6Rgj1FDbFd8H1C9dSL+FaqkDbroU/4eTnQU/8Rri+f/HpfdOuxaqq/MygZo26NCpf7LlrPFnH18eOHfNrkBJ/TGf61S+LVc8I4UqUtMPIqLdp6BeupV7CtVSBtl3LAOYvJ78WrO5kma5lAP93akg7rmoXe+5Gdy3GZsfEI0eOuA6jL1g9I2K5FqqWcA+Ba6mbcC1VAK7FowX+TzE+a5muZfxbP7AdY251rkWB7lr4ZyeSdqaJlGvhq9einhGKa3EVU+5aDMXgWuolXEsVgGvxaEG/FFqWfpGuxe8PX/kzm6pdi/GBx1QxpyilXIvVBulZVahnBPMAycF8mFKsGg7/g2uplXAtVQCuxaMF+bMWPRGuxbsdKrde12I1JVFci9UGGRPLV88Iedg4FbO6n29T4FrqJVxLFYBr8WhB2KCx2DJdiwK/dqgClboWiRSxnrUwZaguClfPCHnMuBbjl/ahS7iWYtl3h/7ZBbIAUDbgWjxasJ6XTOMLdC2SLElh11ko+dylvIL+N/2sroVpv2T1jKD0tJaRNOWw0uFaiqXiWnQTA9dSBeBalBRrYWbDkrgZuJbppZPFkZwc08Riz13GOlizeMWcXAvvYIpVzwjXlRgr9gzpcC0lk7Esu3AtlaBt19IdhjCdb43pgmp/Ia6FumU9d5ri1I61/WlKseeuHh7y4JQoxojGdKTkFqueEUI9lURrO1QW1y9cS8lkLMsuXEslaNu1eMC4l0VEw67FA7OqXde5KwF11s6B9tRTMJeScC2l0frGkLAkCIIgCDbJfddyZvvswMEDgik5ToYxUUnXc0EQBEFwIVSftWQ/whfC6RzwZbIPFfTmsLqyDwMEQbAZwrUkpdWpKIWzDxgMIVwLCIJgXFbgWoYPScnTC6STWQGbIVwLCIJgXKZ2LVOrYfxumNGL6InlWxbJe0Bg24RrAUEQjMsMz1pGw+HkPHS7k107I+FUwJFwLSAIgnFJuhbh8w+mANtr98RzrwprMY9kCvEueKwCGlmjaxEuduOzT/mS5Bu0rvFy1n641FY9+elI1ld2uZj7kmdZQ8ujr3pjtVL1uGct0wpKZf4yXDL53WaZ7JFwKiDDulwLf3T947/8iK/4jsuSZBqU7C0lrP0oahsvhZutk9rJ+sorI58VeGzxoVjyOdWYelLXwncgvAG/264xGkDwndpcy8GYzZsLYzLuve9+j168XUt3gOxaRdR5esln+ant11fIKZVMQ+Z04M8ppzuiGuSno+RYrVe9OK7FVSmn2+aVzTLfIChhY66lm2Ca5e1aqAatl+2tfWZjVLLgWqbjocLVGiROt0M1yE9HybFatXqpXcvYVEufawFBI1tyLdN05fW9993vuiSZBt/Rlrw+tsbWvnFDpxTwUJtpUKI2ExjZFaNuhxmwn3RUX9R0lByrtatXgWsBwUrZjGthyig7jt+iFm41JZ8EcQXnFfBQmz88eLVDZnZu0eS3I5Hdry/jdJQcq7Wrl8G1hLRTYASAIMWFuJbpY16/FUptXsYsBdkVi642r4CH2lZJXbOyk4kEeZA4qUf1RU1HybFau3pJP41rbcdahXkNgqWxGddCbQXvpD1HXXspnNRdFKK2ZCKykxmV9ZxyvSNjg9bpKFO3qtWL8M1np9G7Vuy095KqWEsg+M7iXUt3AGsvrgu8gVXvp0BitcfLYgVnBqZnWXXg79HYIFxLevXi/Mqcn0ySuh3xCZjylxMI1uVa+CXvkcXvD359WXNroa62Ubpy1M6uWJSb8lPPo0FJLtTzUy/nv57Y0ZgWYApnn3gQZFiXa5lHAaxTqF0HoV4t6lXwbz6DYKVcsmvBnxZQuxZCvbrU23ctZ7bPDtzd+wysgtmDFbRyya4FBEFwDqrPWrIfxqCQPVA8htWVexQLws7u+dxDWAqG8yP3KGoF1AsBXEutzB05gB1wLYkB15IMOHdDAPVCANdSK3NHDmAHXEtiwLUkA87dEEC9EMC11MrckQPYAdeSGHAtyYBzNwRQLwRwLbUyd+QAdsC1JAZcSzLg3A0B1AtBNNdi/D0VY5ns530bPDyLh6CnG1P0XCAuSnYtrvNuDBVj1DHl+capKvJ+i3UtfmozN25MlPSi79J6LlNlTIx47jLjkVeUpPNZwr6YkctHksy1eNwvfyOSwpL2qUFKupa6lre239fJmxLl0pgCenM6qcoc6+nKa2MZIDrKdC1+G43yoqcDjypvbZyqwheYXhboWmKpTaVb1aMaD2w/1rmrHUhSrcaSTAvyLO++jh075lqrT+VaXGOjF8SA5HVI+7LyAtfy1vb71z/55Nr161evXdu7cuXy3t6ly5c/vnTp9JvvGk2J0Z10Xff6f/8PjEtc10Jt8czWD9eSDGW6lgFOW7bx0jXdtf3xsmrXMsBbbdd0b9fiOpt5XUvXdUeOHHFt0LsvpkHKtTAj7Et1La4xFmulu8e8zLXoluUPH30E11Kga6HSlRChzA0QEW27FirRdS+z9gXXIk+PNa3JXIs+qupcSzeBZIR9ps+1FO5ajBoS7chci25ZLl68aHQtI+Ba4FoWjiW4Fn3r9ztHmXaMwazvcX1DroXawY13TanhNCTm0tj+HOeu/BYGT0DZhWnk6JfGLPmo5O1TI+xzuBbhnfY296DcozFdOAajbko6MR6Za9m7cuW7Dxyf8vyFC3jWAtcCMFiCa9ETJeUlfRk3Rz6rDddCicAcJB698CnW9qOfu0IPMS3MiDPg7bfflmcJB8bU0odEjTCxaxEKy8fYmCtJlwzDenjRa0HmWpSnLOcvXPhwd1fuWjoN2U/92imceGMoGGMCiI7luJbeFGCuHentKLC234ZrMV66pruOx7X9uOeu617UHX7/Regk/DrVz05Jg/wIU7qW+Va6a0exdhKpa9Ety87ODuVadE6z4FpmdS0dYXvhWtKjbdcS6xy1lucLwLV4dFSUa/HYiApxLXxWCa7F1QtK6kZ3Le7pMteiW5Zz587BtWR3LcrUOr2Ga5kbdbkWfn/XazF7HFXe2P4yXYurGh7pzOrmu5bMcoLvEHUHMNZiPMF4qVenspi+rLWowWd3La6x4bqiqfRYOwmdLvu9ltNvvqtT9yUDjJal67pf/ccpphjo51p6esnp6UoKFVtAFJTpWrrDUNL5WkxT1vL8XmaNYWMYK+ULdC0ealN355RunU2ma8l44roWo0pUSBgrWgfMZ/F9MQWEw1CykrkWRvaBsl8AAA4xSURBVFhrFWM6VV5P5Efl2m93KLbxi/51kooJoByU6VoYMHtNFe0X6FoYVK12ynN37l7S95X9F/2rjj24llo5X0wAsVCRa5l7y05zJNTiWhpQe+5zl/rjvva+BmR0LQ3E3r5rObN9dmD2wxgUcmf3PFg4h9WVfRggGJ3DuZt9GJUS6oUQz1pq5axmFoiCip61tIGdSp61NIDs73FUDagXAriWWpk7cgA74FoSA64lGXDuhgDqhQCupVbmjhzADriWxIBrSQacuyGAeiGAa6mVuSMHsAOuJTHgWpIB524IoF4I4FpqZe7IAeyAa0kMuJZkwLkbAqgXAriWWnkwf99+Z4/6lR7lUkGyUFsgSnYtrlPP/wCU9jNQbgFmbWSaxfTbhmuhFjKzcv2klswaVT76L/o7BYxSUd6gd189LTLfmjEr5S/6u96sVdLA9nti8+E1PHwJ11InjTNqjDZbBMC4zIUyXUvILsMHmzHd2hFVnuqLGUMDrsXjro2KSdpn0q2zkOAX/YUV+Raml959MeWpYfC18v6iv6SKR7w5GSNJv/QA4FrqpGS+x+XERgBcy1wo07UM8N5irGckXEsIQtTQL63te/eb17X4WZMQ19IdwGnwxlp9qa7F1Z34HSVGlfhLuJZGqMwxY1GZmIBlmRVLcC3UvizvyLr3CQ/avmnXIiwgVNtj1pSUmc7dcNcibNDPsji5FqpWn+lzLeErkUmXWxZrR/oJBdfSCKfzyqxMY0xY9ywgCpp3LVYHLN/LrGEsSW/MtRgFCXctfrOWwLXINyWha6EE9LAsxtaYYTC1+hyuRXK/klii9HQagzCG6fJwLXVSmWMn10KFCxAXbbsWa4MeXcgbMaY34Fr6w8eqVXxX18JXp1pIcO76OQmmLt+gh0Oq17W4ugqqFq+nvH24loVSEgpTWEMEiI4lu5ZY7S/QtUyR2LXI1Y577jpZFr281U+EdNqZYB0GU6tP61rmXolOBSgZje3Q5eFa6qRxjqkYgmvJgrZdizDevNvnm4JrERaQl2fq6lnRv/kcUoW/dC0mH6ekQWNiym8+exe2xob3UeK65LUCcC110hpbcC3ZUZdrYTZxo1NxdTPMWSK/5NPbcC2UksYUqryr2q6zkOA7RMpf2FRFuYPx7stYnR8GXyvvd4hyrXSqQaZNoiO4ljo5jY/pshG+lqxSIBBluhYqAPh4YLZsYzt6Fr9XUgFp3V6naMa1UFrxAvIpevuSWaP6jetamICxxqTxxql7saYLx2kdBl8rmWthhOVrSdrp2ViSjIrvlyoP11IruWgFykCZroUBs9dU0X4briUWZlU75bk7dy/p+8r+i/5Vr3S4llo5X0wAsVCRa5l7y05zJMC1DEig9tznLvMAo+q+BmR0LQ2s9H3Xcmb77MDshzEo5M7uebBwDqsr+zBAMDqHczf7MCol1AshnrXUylnNLBAFFT1raQM7eNaSCtnf46gaUC8EcC21MnfkAHbAtSQGXEsy4NwNAdQLAVxLrcwdOYAdcC2JAdeSDDh3QwD1QgDXUitzRw5gB1xLYsC1JAPO3RBAvRDAtdTK3JED2AHXkhhwLcmAczcEUC8EcC218vAsqj8BZH2d/st+C0QzroX5LSkmluTR5do+1WlLrsWoJ7NsE6ud/dy1xh6fLpdrWtF7GEpWdvUoWO+FKu/UhUe/hwMSrqVOUkEwXo4zre9B1hgCoqAN18IEGFWGSQxvnwnghl2LddlGVFtSPu+5q+9pxkummPyslR/kwmH0udWjwMSY66qk2qdkdOwXrqVOWqccriU7luxanE4Fp/aX4Fp09ayXcC0hWa49Svo6cuQI1VpdrsU13akXefuTAnAtddIaKxLXAssyK9pwLVMYA4bahgLPUb5TY1YbrsWqnlExv7WsnBDUX8N6v3AtfBm4FmEvTAG4ltaoTDN/cuhr1WnFAn5oybUID7NesOlQjVNdUIl6egOuhVdPv2sPtfW6est6L0pK9nO3Owwl3Xipv47oWvR+jxw5QgV2dvUoUJIqZfR0uZhWGZXXpvHAtdRJKuD0KTeGgiSAgEC05FoG6AHDpDgdCfL2mdzmXYue5e1anITVE7Ofu+N2J3ct/eQIfPvttyO6Fj1XOWuVAtnVo0A5EmOZ/vBthrsWo4amscG11Elh2PGuRR5qgAfacy297A0dBSENOlVvw7VI1FOOQ7naSnXXAmN6je8Q8Y049WjN6g6/Q1SFa6GWnnBJBsaeUUNiPHAtdVIwtXAtmdGGa/F2FX67mMQVUZcNuJYRgbLIW+bbp9LhWqzpcC3yYo4xCddSJwVTC9eSGXAtyqXT3kS1D9eiXxoLRHEn1bmW6aUuApXVHUDYo3UYLbmW3jFOrEoK+4VraY1KiCirbro4e22t6uWBOdCGa+kPh42eJazCxJtr+1T5ZlyL8QZ5lYRqMzsA1b4xPfu5S92FksvUkpTXO6IUs+ZO28yuHgWrpFR5a8meFkSo4SQRrqVOesclkAzNuJZYMO5lEdGMa4mCWdUu9tz1BnXWzoH21FMwq5JwLbVyvpgAYgGuZUSaIwGuZUACtVs6d6mnC/OhJfUUJFBy37Wc2T47MPthDAq5s3seLJzD6so+DBCMzuHczT6MSgn1QohnLbVyVjMLRAGetSTGDp61pELDTwsSAOqFAK6lVg6zB4IgCIKLIlxLlYRrAUEQBBdIuJYq+a1rAUoF3iFKDLxDlAx4jyMEUM8fcC31cpy/3EEEkIBrSQy4lmTAuRsCqOcPuJZ6Oc5f7iACSDTjWqL8NpSwC0n7PfEFyzZci6vaYwHX9qlOJbNZwrnLx4ZrVsq+SlCPgvVeJOkztg/XUi/H+XMLSSAh2nAt+j5iTLeWl3TRHT4sncr3TbgWidpGZYTHBtWO5PX0Mvu5O55kylHHXPIlU/aVXT0KknijVl+slW5pH66lXo7zZw0UIBfgWphi1gIe7S/WtTgdwE7tl+lausP/yo+SFde1zNFXma7FdcXNtNLhWprlOH98oAAZ0YZrUaDsKd0B+MKSBo3pevttu5YpjMoYLQtV2Fqdas16Waxr0UvO51q8+6rLtVDFYrkWt/bhWorlviM5oKHAwfxJ4gDIgvZcC7MR61uM0yZldCfG9pfgWuRGkJKFaZnvxZiiz04JrsU4MKWYMSz5Wgn6Ktm1WG9TuZSLGad9uJZiqbgW3cSM82eNFSAXGnMt/MZkzBXuZcpRyrdPHdt9Q65lgNBSUFlMs6PmjJh8F9ldyzRsjKcgn+jkWqL3Vaxr4VdiYPjFaR+upVjylmUXrqUGtORarLuS8I8nawG4lims4nQaordvvMzuWqbv2ug3LvEWQrnm6KtY1yK/lBSYpX24lgJp9Sv7xQ7mjw8UICOacS3G/YjadGLtZR7tN+BaXHd2SZZ3d0yBkl0LZUfmcC1+fVXnWpx2gHnbh2sphEZrQvmV/dyD+eMDBciINlxLLFfB7O9O7TBl4Fqml1RhSj1JSvmuhbEL1iwqPuP21edWj0JpKx2upSwyD1H0Mubcg/njAxHIiGZciwJjFlVFSbR2IUmnWmvAtfS2uxZWkahtzBKOJ/u5K4lJa66enqCvvgD1KAhvU1J+rvbhWlLSalP08lzuwfyBIAiC4HII1zIXFaEjNw7XAoIgCC6PXfdBd2b77MDhyRXozamy2QcD5uXwDlH2YYAgCDbDYV/99llL9gFVSjgVUCdcCwiCYFzCtYDgXIRrAUEQjMsKXMvw+WF5OggWQrgWEATBuEztWqZWw/i1MaMX0RNhWcDyCdcCgiAYlxmetYyGw8l56HYnu3YgyBOuBQRBMC5J1+L3CETca/fEc68KqzOPZOBdwJKZ0bV4LBPr+mKacl2M3ttLmcs/ZFSuqs7Rl3UW5lbbrxerdPwdxZpfvrUEgbo09bhnLUoFvX7gfAirU8USRAMIhjCXa7GuXGstYwv8Lua9Y8oXuN99lam2pHx0Bfhjg+luVqk9euGjLu4dMZpLgn/uKF2geiLXQtTsnv3NaacpYW5AXitZNIBgIJtxLdZ2XBejsC9q0/TrtCi1mducSQGqwXvvu58qT2XFVc+7FypymDsKP4CskyKcX6jnrV5S16I05XfbrqqBYC4W8rmWkEUqbMd7MVJ7C3XEeuybxUpN3eYcCjANwrUEdsqvl1mjdJnq2V0Ls648XMtYF59rAZtnCa7FY5nw+0isXqiKYwq17ZS5/F2HxNxmdAX4vu69735jg0xWXN28e6H0Ye6IuQzpkUmcNVCXqV7qZy1jXblrAcFKmd21xNpZQrJc+7JuOwkOgwSCMzcSXQFrX2Oi/tqYFV0xv14YfZg78pgsvnzGQF2mep6updPgMXqP6Zw1AkAwLvO6Fr/FwtTyy3LtS99bYu2bRcluvc2ICvANTt8REGbFlcu7Fyp+mDvyjh+mMDUMSnOoF6iew3eIqCzX+RjLyytS3c0UCiAYhdm/+Ry3ol+W9yD13JB9M5nU3vthAgWMDcK1hMxRYC7U88hN7VpcK3bae0mB6xYEk7HA7xB1BxDWDckK6cuYW+baD1HbVdXofXUFuxa/+OGHPV4a0419WaMuJMihntcgBb8yZ2yom/gJ+cToslrLGz8BQ8kHguUwr2tRoGTxda0NOmU59WVs1pqee6KDFDAWc1XAuy+PMWRXr9MgHzZfRdJXp60ma1/zCbhA9XL+64nG+9HvynrzIFgms38alxhVurWDdQq1a7kjqFdPX8X/m88gWClLcy0p7T7+tIDatdwR1Kulr4MeP+i6D7oz22cH7u59BlbB7AsDtLI01wKCIFg71Wct2Q9jUMgeKB7D6so9igVhZ/d87iEsBcP5kXsUtQLqhWDYV/8fT9M9WJb7v5kAAAAASUVORK5CYII=" alt="" width="674" height="210" />

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

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:

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAngAAAEqCAIAAAAJW7oMAAAgAElEQVR4nO2dPY/2xnWGn3JLlSpcqHCRAGkMuNBbvtvFQBoDKZzOCFIIRqqU7oSFK5UqVRmQf4AApQggl3JhYN9CAEv9FaZ4pMfcOR9zZjhDcsjrxoUFlxzOBzlnbp7nY/c2/fD69Ms/3JnneZ5n61fJbMipobROpyQAAEA/5nmefniN8PL5y/P7Z+usmzRaR2qZp4V9+s6qeqfj0wAAAHuhWOZCNUarWumT650Roy0aEi4LAAAHIbHMpb8mXmsZ7T88+XEsktE+GZZsFfPLLMczl7xqDQAA0JX1RvtTSZnRWu1ZRqtuOKdbR30nBgAA2JLZeI+2/qXjRwnf9tRDK41WVr779QUAgIujGq102UqjDe5xXNk6pJr3k2axOC4AAOxIX6ONmKK/R3bXKlDkxwAAANugGm3p13vevEf7KJH1tmzaqpYvqjneGQAAgB6sz2jTTx0/SmTt09pjdfRxyCqWOLdfIQAAwAasN9roe7RPmlnOsZeOIyUtJ8ZrAQBgR1SjLX3puOA9Wst9rZLWWckh38LxWgAA2It5nl8+fwmyNNrkUGq0AAAA8PTLPzy/fy7COgujBQAA6AhGCwAA0JH0o1MAAADQEIwWAACgIxgtAABARzBaAACAjmC0AAAAHcFoAQAAOoLRAgAAdASjBQAA6AhGCwAA0BGMFgAAoCMYLQAAQEcwWgAAgI5gtAAAAB3BaAEAADqC0QIAAHQEowUAAOgIRgsAANCRGqOdT63n988M+ZpDBgDoQaXR7t7vTrx8/mK5zu59Y8i9hwwA0AOM9g24zpWHDADQA4z2DbjOlYcMANADjPYNuM6VhwwA0AOM9g24zpWHDADQA4z2DbjOlYcMANCDfkY7TR8m/efeY3ZY5zqnHvKH+wADgx12yAAAPWhjtK8fXqcfpuTnu0/fvfv1u3efvvvVr3/12H798Lb5m9IBdaezvyFrjDY7ZNl/f/i3t9p7yNPLL56+/d1vfhrOn7/66t+eg3e59G72vtEYLQBsSQuj/fA6/TD9+H9fTD9MX3/20WP73afvJMtc576eWvazNJibkD6Y1Q69MqP1h2w5aDKiZbHqobUf8ofXb3/3my8+efr+v//z+8//58tP/3n663f+kNU76Nxlf1ZsMGQAgB40yWin6X+/+Pqzj6dv/vj9n95N3/zx688+vuc6yyznvq2md4m1WAajOlBy1DLj4Cq8PqN9/dvr69+mx8/HkH3XVDuffbbwizUf8uuH1+9+/9uXXzx9+S8fv/75q+CQ4z+zV6n3XQYA6EGTjHaafpimb15+/Pt304fpx79/N33zcs91Xv8+vf7t9fFzmeuk/bCX3ZsheXqyXbEKr89o/SE7I4p3cp8hf3idPkzf/f63X3zy0Rf/9PH0l6/vr2TEhxz86fS/95ABAHrQJqP9+r8++v5P7x7vzt63nVxnMvKw4LLrr8h7GW02vYu46aNYxbNF1qjWDXn69t+fv/jk6bvP/uP7z//45ftf/fjX75pktMlArPFucJcBAHrQLKP9cZHR/vhzRht5w3ISi2biNJPmOukwtMXaKWOx73u0iV+ql2i3IX+Yvvjko29/95vpwzR9eJ3+8vVX//ou+B6tP9h4tzFaABiRju/RJp9AXux5nda9R6sMY+v0TsEfstVD9dlCfbzYe8jLT5WbnzOXQy76qVqyPxkwWgA4OE0y2tfc9ymnd28/bzwVGq2//vq1qWUsSoy2bMiJfU6a0zj9Dw7ZKbPLkIt+Fg0HowWAUWiS0b76nzFe5DqLho236NSfy6P6MDY32oohL3viPDoklnycZ4vSIVcYreO+GwwZAKAHbYw29/ZkJqOd3DVUtSVrFV4eXRaLrL9TYXpXOuQp4DdWnyNDloa975AdQ006r953dQhyyM6kKh0yAEAPWma0xl8ImpyMVv11uc4WOYdVILj+TuXpnfGBW2XI0lEiDuQ8WAwx5Mgw/Qmw5ZABAHrQMqOV36e0/ibUT21rRrLMR9VivvGspDS9Kx3yY0TyOlhHnZ3HH7J6Z9W7bF2NLYcMANCDlhmtk+ssP298ZBqmdwz5sGC0ALAl27xHOwzt3rAcBoYMANCVZhmt/FblKPnNkqL0jiGfbMgAAD1oldGeBP4L+pWHDADQA4z2DbjOlYcMANADjPYNuM6VhwwA0INKo335/OWsWK6ze8cYcu8hAwD0oMZon98/nxuGfM0hAwD0oO9fBgAAALg4GC0AAEBHMFoAAICOYLQAAAAdwWgBAAA6gtECAAB0BKMFAADoCEYLAADQEYwWAACgIxgtAABARzBaAACAjtQY7e5/ER4AAOCwJP/9rNJod/+L8AAAAAdkEv9mtN5od39kAAAA6E2RP7Y32hkhhBA6r+5GGy/cxWgrTgcAABiCh9EGC+9jtLef5Zfxm/Mb8k8HuDhWBEUCR5Zxzgoeum/X1QOwMYcz2kd43BaSp8tDGC1AP7JGexNSi00i1uSJVj3qthW5RDQch8MZ7aTFYaTCCqONxDYATDGjVffHWSap1uO1Xz8RDcfkiEabEAmSbFCR0QKsQX3xaRlxltEGzU8admKrsjk/5IloOA6W0VputZHR+sGpxpgan8vm4g3tflcAjsbKl46TwsnOm5GqWoecOCWi4YCoRmvNz03fo3X2qPvrjDbbCgBM7psvj+3kkKzEibKIQVqma1W4+0UDuCON1pnqB3qP1gnCoNGqgc1TMICK/ymHyQjbeJRFnrDV5pYbRDQck8Ro/fm56Xu0kbBUA1WNKD+jVVcKAHhgvfjk+JysxAmxbLxnVwCnbwD7ctAPQ6mBqlqp3FlqtH61ADC1+NRxxBqL9mSbJqLhIBzRaK2AtJ6dp0BEBR2dB2EAlZVGm41QP6O1KlHDn4iGo3E4o7XcVA08edYUNtrEpP2EGODirPnUcSRbjWClqo8QJqLhmBzOaP9RafnHjx0zzr4Z7O8BuDh1Ga0TSolBOpLlrT4kJZ09AFtyN9r4v/rhnwoAAAAU8FL+/9cn/h8tAABAnCJ/HPX/0W7WEEKnFBGEULVejvD/aDcQywRCa0QEIVStlyN8GCrV7QYAADA8GC0AAEBHjm60TcULXwitERGEUJmGM1r123VFQ2aZQGiNiCCEyjSi0YoiGO2mqnu+2UwH794JtGMENbm5zBC0tUY02lYZraxBrTbZE29afSZw6pGH5FlWQ9keykqss5Y9yY7L6ny/DXVQsrdO/9FKqRGUzIpOTTsT2Ckza1OaGYK204hGK4rUZ7TLJVutUG7Ln5aswHaWJFlGPctqxeqhVaa0LafPkSacPRGj9bvKMrqZlkY7aze3n6pjikcxtKdGNFqpoiFXG23SjWxDqkP49SzdJd5Kdr/veZFDfp+zTWC0Z1ISqlte6qDRRiY8MwRtp+GMdr2KjHbWXnSSZaSkkTjFZFtFWUK2h3GjrbP29Xsw2oHkG630uYcqiiXKGq06va3Z7jSEUEsNZLS3nIJDLjVadWe10Sa9VatN7Fae5bSo/iq3nTEGh9Z2z7Jp62dww2oOtVI2o/XvrL/hC6NFQ2ogoxVHKuOkzmiDZZYFlu7o217ya/Ysp9HgNkaLqtXEaOWzY/ZRUralTgO15mxVCHXUcEarRlRRzKz8MJTcVhW0hOATutNiXc/Vo8H0AqO9uBpmtFJFc68uyiINIdRSQxtt3ZCLvt7jPHr7i0VSp7WttjWLZSLbVraH2T2yJ06LagdWth75afVZ9tbpP1qp5FG19M5axaxbuZRaQ1JJss0MQftrLKO1grZI/MGKlYosiDvq4N07gfiDFQiVaSCjtR5mS8MGo0VojYgghMo0kNG2EssEQmtEBCFUJowWIVQkIgihMmG0CKEiEUEIlQmjRQgViQhCqEwYLUKoSEQQQmU6lNFK7v1TDwEAAByfxMjIaBFCGRFBCJXpUBmt379WYplAaI2IIITKhNEihIpEBCFUJowWIVQkIgihMmG0CKEiEUEIlWk4o13zV44f46y7VgihmQhCqFQjGq0ogtFuquH++clwHT64ThlBw02S4Tp8aQmjjX81aPiMVtagVpvsiTetPhM49chD8iyroWwPZSXWWcueRMaVbT070uC4nCuj7pH9tBpCRUpCVb3aG6hto8xq1FFvjfb5/XMRw2e0y6msVii35U9LVkhY9atl1LOsVqweWmVK2/L7H79uajeC48r22RoFS1IrZSNoMzVslFmNOsp46bj055AZ7VxotEk3sg0lz6SReh6nRIw8XrMf3pFDkZr9XqkLRHBJctq1NtY/kCFLy9eE9u3JBkbrN8esRiG9Ndq53F/noT91nDXa+a1fWmWk1Eddq5hsK260kR7GjbbU2quXJOfcSHl/Saq7ZSiorNHK62/tSR6Xk2LJo6q8s8ketSr1RLXP6rZVJr4nXp5ZfVoNlNHKyJSBGlGp0ao7s809glw2lCwN6lny9KKVwhlRUrPT50hDx1ySKppDcUmjTRxOHo1sWBO41YYvZjXqqHEz2uoZVme0wTLLAurq49djGW2kxWArFzHaSIWoTmpGK03XvzWJs1oT0q8naEjSxdW2/M6o+5nVKKTbOBntzzuUeC6abSs/DCW3VQVjRjXa7FnqKUXbwfBu0mJ8j99K6ZJkXVu0Un4EOTc6UiZyVpGFO01YR5nVqLFuo2W0QTNwVPT1HtXLs+4u67S21bbm2MJhjULtYXaP7InTotoBa1zB/jhDi7TltK52G1VL/XqP3CNvnCxwEzNfrUctJg899juVWPKHoM4ra5jZhvyznIZk5X5b6Ci6DZXRPoJqXjHDTvl1+y0VWU0OpeE6fHCtj6CbCOrSs9YXk2eNNUmG6/ClNVBGqz4DBh9Xl8JoD6jqu4m2V5MIKr3R8WRxfd9aiVmNftJYGW0TYbQIrRERhFCZBspoW4llAqE1IoIQKhMZLUKoSEQQQmUio0UIFYkIQqhMZLQIoSIRQQiV6VAZreTev/i/7gMAADgUiZGR0SKEMiKCECrToTJav3+txDKB0BoRQQiVifdoEUJFIoIQKhMZLUKoSEQQQmUio0UIFYkIQqhMw2W0a/7K8XKcCKE6EUEIlWm4jFbaKka7sS7yF9IvMswKXTaCTjklTjmow+nKGa2sQa022RNvWn0mcOqRh+RZVkPZHspKrLOWPYmPy7kO8TLZGiKXfU3rsvL13T6flqG65qYklQRLNilTpxFnfryJTjWjeb58Rrv0IbVCuS1/WrKWbKt+tYx6ltWK1UOrTGlb1tHNojTYwyZN9G5oXC0fVR87nVkdUUOj7acTz3zmeV9dOaOdC4026Ua2oWXfgvU8TokYebxm32gjh/wWuz5rq01jtDtKNdqluhrtjnfkxDOfed5Xw2W061VktLMRS0E32sBoIz2MG22FtasVJo9BSc3WQ1L24ck5K9lWd/qDtSpXe3JlyZeOl0ez90gttrxrfrD0mGnZibfswAb9UZv2r2q8ZrUVf+BorQbKaG85BYdcarTqzmxzSRDKeHCqXUapepbTovqr3HbGGByac1bkqqpXRi3pNG2dnl1H4q2zAEnJUPUvWuRqR+Zev5kWvMu7z3y/rbqNbNOogW7DZrTVM6POaINllgWW7ujbXvJr9iyn0eB2W6OVzwHS7bLLjXqW37TaujM0p3UWoLjUUK2zlmWZyN3vN9Oyras1bz/z5Vn+5VW7l+0kaqzbOBntzzveJC6R+Ey08sNQcltVcCmvNoDq3t5KHo2zLcZPrzvLryS4p6h1FqCsSj8MFbnXkWmwwUw7/syv27A6k92P2ug2WkZbNDtVFX29R/XyrLvLOq1tta1kdJG2sj3M7pE9cVr0R+pcWKctdSDqSJ39ahlnp1osGaB1HS4rJ4IeUiebLCDvmjUBus40ZyBJH7bpjzp2eX1umrI1q235A0drdRsqo33MnnnFzLjs1+1bKbsk3cQtC1ZbcVY/RVbea+o4EbTxTBtu5kdqZp5voYEyWvWhLPswKHWcZeLEqoteYn4IHSqCjjbTztEf1FhjZbRNdKhlAqHhRAQhVKaBMtpWYplAaI2IIITKREaLECoSEYRQmchoEUJFIoIQKhMZLUKoSEQQQmU6VEYrufdPPQQAAHB8EiOr8NeWRus/CLSS3hBCKCYiCKEyHSqj9fvXSiwTCK0REYRQmXiPFiFUJCIIoTKR0SKEikQEIVQmMlqEUJGIIITKNFxGu+avHD/GWXiREEL/EBGEUJmGy2ilrWK0G4s/U76BjnyRLxtBR74pp9E5L/KVM1pZg1ptsifetPpM4NQjD8mzrIayPZSVWGcte5Idl3+51J3O2P16rDJqefWQ1efIVa27F5HW1T7LS30cORH02N+kIXnlm1RbLXUm+Pcx2SPLROqxyqjl1UNWn61hymLZEytaV/ssL/UZdPGMdnnL1QrltvxpyZo6Vv1qGfUsqxWrh1aZ0rbqxhW8hk2uT2TskZG2OitYj1XzMZebbARFVDG04Cn9Lhoz/+Izv163C2e0c2GoJN3INrTsW7CexylysjqtZPf7YRA55Pc50uL6etQyFYuddZbTN6dk/KzgWlna6PbCaJNfmfkXmfn1uo2W0a5XkdHOb/3SKiOVTKB+RhvpYdxoK4Kq1TW8/ayiMtXLTXawVkP+Kc4ef7mpm2a7yI8g9SYmA1R/Tc516sme5Uw//6zslFB/deZJ5LZaffbLZFu3CkeG6YzIOsXZo04Svz+RRkfSbZyM9pZTcMilRqvuzDb3CGbZUBLh6lny9OpVQN12xhgcmvx15TVUW8+2Vb3cWJ20+hy5F2uWm+zpx1HFo6qsRJbJDr/i7luFS8M5WLNVFTPf3xhl5tfrNmxGW30n6ow2WGZZYDkvI8EwL6adf5bTaHB7F6P1y1Qvmv5ZwYB3FL8XK5ebSIVHUEUEZb2tyJ/WG63aFjNf7TMzv4Fu42S0P+9IH68iEbLUyg9DyW1VzReF0gCOG21pEJYuE8FreKjlptVZpctNxH52V49H1d2NNnsoUnPF9vpRMPMH0G20jDZoBo6Kvt4jyyx3Wk3IOq1tta1ZTNNsW9keZvfInjgtOq3XXUOrfLYe2dsmIw225ZyYbV3dI5tz2tpL/td7nD3WxXSO+jX7fVB/jVci5Q9K3sfI9bHKZ+uxhlnUljrGSFvOidnW1T2yOaet8XQbKqN9TJF5xZ247NftW0kNDNRWR77Il42gI9+U0+icF3mgjFZ9VrIeiBxddplAlurmUvUMHF1E0GnEzN9IY2W0TcQygdAaEUEIlWmgjLaVWCYQWiMiCKEykdEihIpEBCFUJjJahFCRiCCEykRGixAqEhGEUJkOldFK7v1TDwEAAByfxMh2zmiffvmHhHv/5P41qA0BQBAiCKCIpZG97J7R+v1rBcsEwBqIIIAiEqMlowWADEQQQBFktABQBhEEUAQZLQCUQQQBFDFeRqt+drpozCwTAGsgggCKGC+jlbaK0W5M3fMNHT4Nw0VQxQRgzkBDLp3RyhrUapM98abVZwKnHnlInmU1lO2hrMQ6a9mT7LisURSNNDgu58qoe5KanYagCCeCiqg+saKhpFE5Z56MGNn9asMJuHpGuww2tUK5LX+aF9dY6J1IlmXUs6xWrB5aZUrbitwCtd1kI1naisYVv1AYbSeyERSn9KwmrTBnYGMundE+FRpt0o38xX371BypZ+lA8Vay+33TihzyW8zukb5bZLTOiBwvr7hlEOGURqtOG+YMNGG8jHY9RUb7ZJhB0I02MNpID+NGW2ftEaNNHju6Gm3dLYMgSQRF7qy8I8sT/bOcOzsv5HTYn41JB5wTAeoYKaOdcwqOudRo1Z3Z5pK4tRYLtVoZ9nWribPtjDE4tKI96tXwm/PrVC+sPwoWzVaoEbTcY03FlRuyueA9zZ6VxF1p/QA+A2e01TFQZ7TBMssCS3f0bS/5NXuW02hwexejVRvqZLSRCqGOrNFae6r91a+8dMZitLAxI2W0P+0RSV4k0pas/DCU3Nav7Lon9Dr/qDPaeFvW0bjRSouNj6vUaFk0O3Eoo/X3q0cjPYxUCxBkvIw2aAYORV/vUb086+6yTmtbbSsZXaStbA+ze2RPnBbV1tWqrJEmP/2hZfvstKV2G9YgI8i5Zcv9ck/wblpVWfdatu70UM5M9USAagbLaIMLtM9wX7c/GpGl7VAM1+GDM1wEVUwA5gw0ZKSMVn0IDT7SLhlumbgC1XcTtocIAihisIy2CSwTAGsgggCKGCmjbQXLBMAaiCCAIshoAaAMIgigiDEyWgAAgKF5GO1BM1oAAIChOUpGCwAAPXgs97v3BHbOaNUv7TTXZg0hdEoRQeNpmVqhXfWye0a72Ti3aQihU4oIGk8Y7WFERosQyosIGkzy/UK0n8hoEUJ5EUEjSf1gDtpPZLQIobyIoGFkfQIW7acxMtqbptJxFpVHCC1FBA0mjPZIGiOjlbZ6eqOte57YTAfvHmquHSOoyWS74ox9DBaj3VuXy2hlDWq1yZ5408uj2WqL6tlyI9jn7CjQaaRGUDJLOzXtx5RVZrmxQSePqEsN9ti6Yka7tBC1Qrktfwa7KttSWw/WY3UsuCditEV9vtaydW0tjXaOxUIrZWPKKnP1R8NLDfbYulxGOxcabdKNYFedtjBaNKKSUN3y1geN1o8Ftaoz6zojHUFjZLStxnlX8Im4IkpVq5NLQORBIdJ66R6MFlXLN1prktcVS5Q1WtVW1TovNGOvM9IRdPSM9pZTfJzLOpONORaWdUab3eNU1XbPsmnrZ3DDag6dVdmM1p9p/oYvjLZGbUfq11bXVvYsWSDbjdtBP2I9WEZbHSd1RhsssyyQPAFUrzIYLTqUmhitfD6OPC5HjFatOVvVmdVwpPeq1Apv4htEQbe7xb7pu9yp+m6kuQNY79Ez2rvUiCqKmZUfhpLb2X7GN/yqGu7BaFG1Gma0UkWxEJyflzba5i4br/ZRJiks6ymtOdKodXTv+z5GRhs0p+w4ZyPpTHY6j97+YhGsc7knO2Sr9Yo9lrkmP53r43cSnVjJo2rpTLOKZcPKqiGpJNm++oxtNUw1ibR+TewzOeQnxM6hbOLrdMlvfUMNkNFaQVs6zroT91JkAdpRB+8eai7+YMVIWj9Mx5ySQ6q/+vmrWonTZ/+Qb8PZyjfR0TNa62G2NGyGM1qEDiUiaBi1fd3YcTIn4/Sd2HrR2HHKYFdLD22lATLaVuPcpiGETikiaBj1MJV4nVZq67igutNHFq7r7VY6ekbbdpwIoToRQcNoS6N1ctkkhV3aYfz916LWI1XtJDJahFBeRNAY6v26sf/C72ynsKUmalXrF7M6trfvktEihPIigsZQJ0eJ2OTDEVVjsxzaf23ZMvWieo5htGS0CKGMiKAxtL3ROh+DitTmWKlqmRX1HED7Z7QAANCE+XZrVY+PbO6+ne1AckpS/lGJVc/jUKSeQ0FGixDKiAgaQMfL5NBdL7tntFuOEyFUJyJoAGG0RxUZLUIoLyJoAGG0RxUZLUIoLyLo6MJlDywyWoRQXkTQ0YXRHlhjZLRr/srxcpwIoToRQUcXRntgjZHRrv93V8MtE8P9s5HhOoyKNFwERTTcpDU7PM4QrqnLZbSyBrXaZE+86eXRbLXBeiL9sfYsN6yGrE4WXTG12+g0SkI1OI2bq22j54ky4u7YumJGu5zKaoVyW/4MdlW2pbbu11PXz0iHrRrinc8vAegUykbQZupktGNHGXF3bF0uo50LjTbpRrCrTlsrjdbvjxqQwSXAadfaWP8AhEbR8jWhfXuygdH6zR0xyva+KcjXGBltk3E+trNGOxsvBGUjXH1cldYbeVBosgRk+7xmCai7RGhQZY1WzgdrT/K4rAaILC8rkb8mG9lAO0mUEXSH19EzWhmZMlDj43zUmWzMRqjIZSLbW7Vaf49Tld/uvktARXNoXEmjTRxOHo1sWCHWasPXSaKMoDu8Bstoq9fxOqMNllkWSJ4AqteCIZaASIXoHFIzWmm6/lRJnNV6ui2NINWQpIurbfmdUfcTZahUR89o71LjuWi2rfwwlNzO9jO+4VdV1J81S4BcrSpGwRJwVvkR5Ey8SJnIWUUW7jRhHSXKUD+NkdEGzckf56MG+cic7FS9POvu8TqXe7JDVluXtak9zPY5clbkilndRqeR+vUeuUdOJFkgiYikIb+YPPTY71RiyR+COs+tYWYb8s9yGpKV+22hA2qAjPYRVPOKGTbc1+0j0XsoDddhVKT1EZTYTMVZ64vJs8aatMN1GN119IxWfQYMPq4m4yy+NqdT9dVDqEkElU68eLK4vm+tRJQhqQEy2objRAjViQhCqFr3jDbO8/tnjBahy4kIQqhaj5eOg4UxWoSuKCIIoWot36MNmiNGi9DlRAQhVC2MFiGUFxGEULX2N1oAAIBzQ0aLEMqICEKoWonRql9VxWgRurqIIISqJTNay2UxWoSuKyIIoWqpLx2rLovRInRdEUEIVct6j1a6LEaL0HVFBCFUrTE+DLXmrxw/xllxdRBCdxFBCFVrGKPN7smOs6j87uIvkm8gLnJcw0VQKzFJNtDpL/IwRtsqo5U1qNUme+JN34x/N2TtWV9PvM+Reqwyann1UNFI1WLZEytaV/ssLzWy5ETQY3+ThuRMaFJttdSZ6c+rZI8sE6nHKqOWVw9ZfbaGKYtlT6xoXe2zvNQn0zBGm92THac8N5lSzrb8GeyqbEttvaKeuj5n64n02b8m8ZG2OitYj1XzicO7obIRFFHFpQ6e0u8mEolE4nrdjTb+1y2Gz2jnwlBJuhHsqtPWBka7pp54n7PbRYHql4yfFVybShtFGG3yK5FIJMZ197simhltxVkAAABXoIHR7v2EgRBCCB1aa40WAAAAgmC0AAAAHcFoAQAAOoLRAgAAdASjBQAA6AhGCwAA0BGMFgAAoCMYLQAAQEcwWgAAgI5gtAAAAB3BaAEAYGv2/guJfXX/1+ZJNzsAAAE0SURBVAIPMFoAANiaOfYfXkfk8c/yHmC0AACwNRgtAABARzBaAACAjmC0AAAAHakz2tst9axkjyywPRgtAADsT3VGu7RS1VYfO29Cfm2R/REwWgAA2J/tXzp2smHVjKu9FqMFAID9qTBamaFm3TFyKHh6HIwWAAD2Z2VGG3zJt9Rog634YLQAALA/XY1WTXkxWgAAuBClRuu8brx89ZiMFgAA4HXa5KXj4Nu3GC0AAJyQNUarvhS8PKSW4cNQAABwITp9jzbx10jhafG6tNVQERgtAADszwZ/Gcp/6djZ6eyPgNECAMD+1H0YKnvIclPn9OZgtAAAsD/8UwEAAICOYLQAAAAdwWgBAAA6gtECAAB0ZJ7nl89fzgpGCwAAO/P8/vncLAeL0QIAAHQEowUAAOjI/wM9ovgg6qlmRAAAAABJRU5ErkJggg==" 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!

aaarticlea/png;base64,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" 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!>

aaarticlea/png;base64,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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:

aaarticlea/png;base64,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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,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" 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!

SSAS Tabular 数据表关系与join的映射的更多相关文章

  1. 在MySQL数据库建立多对多的数据表关系

    在数据库中,如果两个表的之间的关系为,多对多的关系,如:“学生表和课程表”,一个学生的可以选多门课,一门课也可以被多门学习选;根据数据库的设计原则,应当形成第三张关联表 步骤1:创建三张数据表Stud ...

  2. 学习笔记9—python数据表的合并(join(), merge()和concat())

    merage# pandas提供了一个类似于关系数据库的连接(join)操作的方法<Strong>merage</Strong>,可以根据一个或多个键将不同DataFrame中 ...

  3. SSAS Tabular模式中关系设置不支持直接设置多对多?

    在网上文档发现一篇文章 微软BI 之SSAS 系列 - 多维数据集维度用法之一 引用维度 Referenced Dimension 有涉及到SSAS模型的关系设置 但是本人的基于表格模型的 没有关系可 ...

  4. MySQL约束条件 表关系建立 查询数据

    约束条件 unsigned 无符号 即为非负数,用此类型可以增加数据长度 例如 tinyint最大范围是127,那tinyint unsigned 最大就可以到 127 * 2 通常用在不会出现符号的 ...

  5. mysql千万级数据表,创建表及字段扩展的几条建议

    一:概述 当我们设计一个系统时,需要考虑到系统的运行一段时间后,表里数据量大约有多少,如果在初期,就能估算到某几张表数据量非常庞大时(比如聊天消息表),就要把表创建好,这篇文章从创建表,增加数据,以及 ...

  6. 数据表-java类的映射

    1.一个数据表对应一个java类 2.数据表的字段对应java类的属性 3.一对多的数据表关系 一方用一个java对象表示 多方用一个java对象数组表示 4.多对多的数据表关系:采用中间表,将多对多 ...

  7. Django框架基础知识07-常用查询及表关系的实现

    1.常用的模型字段类型 https://docs.djangoproject.com/en/2.1/ref/models/fields/#field-types 2.字段的常用参数 官方文档:http ...

  8. mysql中数据表记录的增删查改(2)

    select `数据表.字段1`, group_concat(`数据表.字段2`) from `数据表` group by `数据表.字段1` order by `数据表.字段1` desc; sel ...

  9. Phoenix映射HBase数据表

    1. 说明 安装好phoenix后对于HBase中已经存在的数据表不会自动进行映射,所以想要再phoenix中操作HBase已有数据表就需要手动进行配置. 2. 创建HBase表 > creat ...

随机推荐

  1. 你需要了解的 C++ 17 Top 19 新特性(附精彩评论)

    什么是 C++17? C++17(或 C++1z)是继 C++14 之后 C++ 编程语言 ISO/IEC 标准的下一次修订的非正式名称.C++17 现在功能已齐全,正在成为国际标准的路上.它的规范已 ...

  2. winform窗体绑定监控键盘事件

    直接注册是触发不了的, 例如: 总是不能触发. 需要在窗体设置一直属性: 大概意思是在无论窗体的那个子元素获得焦点,都将触发监控键盘的事件.

  3. UWP 发送短信公用倒计时按钮

    1.要求:      发送验证码按钮,点击后,会倒计时60s,之后才能再次点击.不同界面的多个验证码按钮共享这个倒计时时间. 2.操作步骤       1) 从登录界面-->忘记密码输入手机号- ...

  4. Tensorflow中循环神经网络及其Wrappers

    tf.nn.rnn_cell.LSTMCell 又名:tf.nn.rnn_cell.BasicLSTMCell.tf.contrib.rnn.LSTMCell 参见: tf.nn.rnn_cell.L ...

  5. Delphi中动态调用TXMLDocument的经历

    var  vXMLDocument: TXMLDocument;begin  vXMLDocument := TXMLDocument.Create('c:/temp/temp.xml');  Cap ...

  6. CentOS7 Vim自动补全插件----YouCompleteMe安装与配置

    最近刚装了新系统CentOS7,想要把编码环境配置一下,使用Vim编写程序少不了使用自动补全插件,我以前用的是neocomplcache+code_complete+omnicppcomplete.但 ...

  7. python中的内置函数(bytearray)

    返回一个新的字节数组.bytearray类是range 0 < = x < 256的一个可变序列.它有大多数可变序列的常用方法,在可变序列类型中描述,以及大多数字节类型的方法,参见字节和B ...

  8. 开源|性能优化利器:数据库审核平台Themis的选型与实践

    作者:韩锋 出处:DBAplus社群分享:来源:宜信技术学院 Themis开源地址:https://github.com/CreditEaseDBA 一.面临的挑战 1.运维规模及种类 我相信,这也是 ...

  9. abp(net core)+easyui+efcore仓储系统——创建应用服务(五)

    abp(net core)+easyui+efcore仓储系统目录 abp(net core)+easyui+efcore仓储系统——ABP总体介绍(一) abp(net core)+easyui+e ...

  10. Spring_two

    Spring_two 基于注解的IOC配置 准备工作(参考上一篇) ); 接口的实现类AccountDaoImpl.java修改 /** * 账户的持久层实现类 */ @Repository(&quo ...