MongoDB学习笔记~客户端命令行的使用
当我们从MongoDB网站下载安装包之后,它会伴随有一系列的工具,服务器程序mongod是我们耳熟能详的了,客户端mongo和性能检测mongostat我们可能就没有用过了,今天主要是介绍一下mongo这个客户端命令行工具的使用。
测试环境:服务端:linux版的mongod 2.6.9
客户端:window版的mongo 2.6.9
下面介绍一些常用的命令
1 建立一个新的链接
var x=new Mongo("192.168.2.4:27017")
2 显示所有数据库
show dbs
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3 指定当前要使用的数据库
var db=x.getDB("background")
4 得到当前数据库的名称
db.getName()
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5 得到数据库的所有集合
db.getCollectionNames()
aaarticlea/png;base64,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" alt="" />
6 得到数据库中集合的详细信息
db.getCollectionInfos()
aaarticlea/png;base64,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" alt="" />
7 得到指定的集合
db.getCollection("background")
aaarticlea/png;base64,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" alt="" />
8 得到集合中元素的数量
db.getCollection("background").count()
aaarticlea/png;base64,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" alt="" />
9 得到服务器相关信息
db.hostInfo()
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QAALB9S2u0/yHdZ35g91VxMrP4qeIAALAQrdEdcZJTAAAAq9AanYwz+ldAWiMAAFjRd7RG2/Z/+5Zmf7HaurSut+LE8+a7HX0RAAAs6mtao1Lrr4De8G/NdfMBAADW8gtbo/LLR1ICAAAW8jtbo+Di3Cz+WyMAAPhsv7A1uvZfqNMaAQDAN/ji1mib+jEM78zq8foAAAD/892tEQAAQIrWCAAAQGsEAACgNQIAANi0RgAAAJvWCAAAYNMaAQAAbFqjNVz7W2jXmbcav/tLpe6rwFN1BgDgA2iNVhAc2W89vj/SGnXn0hoBAPAArdEK5lqI++bt3pLM6ql1XbheAAB+C63RIvZH9p83h9d+cHnEP7wpx1ebgXLebp5DTUU1fitCsNhkEcrg5ZdD6wUA4LfQGq0sbiGS74O2YbV1VT8dWmywdgAAiGiNVnZha7R/rbauQ0rnW6P9qh9fLAAAn0FrtLILW6NrUzoZMNPVzC322jwBAPhFtEYrC9qb1+5Vjm/de1VXs3hrFNTt1nUBAPDBtEaLi4/s1Zag1TItcvR/1V6tj7ZEC3QY1mqTztQZAIDvpzX6XOVR3uH+qkoCAPDraI0+TuuvgJb6qyEAAPgwWiMAAACtEQAAgNYIAABg0xoBAABsWiMAAIBNa7SG4Ff3fPS8mV9JdNNiH/khfgv+kMC5fEZvKTf68DoTPF/nVuS7n3MA4EtojVbw1NHt7nlb8S+cNz4K3zRpftXPmsuk2nUMzRKX+qr6VON0L66zOwDAcrRGK/ig1mjo3FyNf7j9zHozh+PqvLcWeZHD91war93rwi145wLL61ojACBFa7SI/dHt503rnFq9/ipe8fjWvN08hw6XrXXFwYN1dddbHRbP211pvp7ViVrjr7oe5J9f70StMhXo1u317yu/3iDJaqgyHwCAf2iNlnU4X2bOoD/n2q1xzJ04Lt+6rsx6g/yroYIxwTk7TnV/Y7ee3QTOrz2zite/r6F9mbglP/XJ+nRnz+cPAPAPrdGygiNj9ej58/717wn+VbzWWVd5PVhXqw5x/HJMvgj7TPL1rCZQHR9fT9Zn4vmJFzs3RTB1foOS9ekuKpM8AMCR1mhZrSNj9/2rdpS/NqszAVsn4+Q5u3WqHoqfXMLoiTyfZCafZJxMGmfuvbxEwboy74cKCwAwQGu0rNEj48/717+dwJkjciurS4KUaY8ekav3jsZM5tndl9Zdo+uaqMPQ85PZx2R94uDJ8dPrzV/sJj90CwDwtbRGywqOhvvzXPmmdftSR8BqSsHFah229tG2en2oDsHg1kev4pUcn9yvofyTSxi6K55oqG7BwofqE9w+VKKhuwCA76Q1An4nTREA8A+tEQAAgNYIAABAawQAALBpjQAAADatEQAAwKY1AgAA2LRGazj5u1kunH3N/Kvxz/9Om5P55GccHV+ubi7+JXm+iteZdY3WZ7X48fhqfaofAQAr0hqt4Nkj1FVHz/vyb8X/iLpNJDlxWD9fnNF7Ly9+GeTysIeAo/Hj8a+/r/tKBADcS2u0gk8/Qk2f/pMr7Z7aHyna0Erzt5xZS7dQF27o5Q9t0FdcFfaqmrQ+DZbwyCMKAIzRGi1if4T6edM6VwXnsFetVaiOH73++vfVzb+73qHDYjX+0Hpb9QnWFay3nDS/6vNjRu8djVnWJ97BZPyhep7JeSuejda+X7J3QR1eg98XAMCTtEbLah3jguPd3HEwOJIm5322RMn8R+szWrehDU0uKh8/GF8tQmuW4EoZfyjP0XpO1OFnZBBqOn5csblHAgBYi9ZoWa0j16t4HW4pT4fxiS151FvwCBgsNl+fiTpPFCE/+Eydy/FzO9W6q5pbqz7Ve/P1nKtDGbyV52j8+N54aQDAZ9AaLWviGBcfy1qfJo+kc0fVOJlLgpysz/Qa8/kPrfRMnYOtnCvsVbWaqOdcHcrnKpPzaP6Z+gAAn0drtLLX7nW4WL4vv+yO7wY5c5RMLu18kMP7q+ozWrehJIM6XDV+dL9G41y7rnizMvEzz8Ad9Zl4JACARWmNFhccIqtHyfz4w/Xy5FeNH2T1SGWCk26yPsG6RusW5xmHyuzX0PihJPPrvTzPINWh+MGXE/kP1WcuGgCwHK0RwI+yT9PtAMBvoTUCAADQGgEAAGiNAAAANq0RAADApjUCAADYtEYAAADbV7RGfrouAABw1he0Rv/RHQEAAPO0RgAAAN/TGm26IwAAYNo3tUab7ggAAJjzTa2RvggAAJj0Na2RvggAAJj39a2RH+0NAAD0fUFrFDc/WiMAAKDvC1qjgKYIAABI+e7WCAAAIEVrBAAAoDUCAADQGgEAAGxaIwAAgE1rBAAAsH1La7T/Id0r/MDu9+TjVzYBAMBltEZlqKXyyUwBAACcpTVqxXlzPqN/BaQ1AgCAK31Ha7Tt/rZn3zC8dq/DxfLLV/E6BGndW+1SqvnE+ee7HX0RAABc7Gtao1LwVzdxqxOEChqht/Uq+iIAALje17dGrb/YCS4GobZaxzX0Fz4XLu3xCgMAwPf4+tYo/nSoNQounu9VRvsr3REAAFzpl7RGh0ai+ldAmevJ+NPZao0AAOAZX9wabYM/huFwSxykHPz+XmW0mwIAAJq+uzUCAABI0RoBAABojQAAALRGAAAAm9YIAABg0xoBAABsWiMAAIBNa7SGa3977JnZz0S4KvOr8rmvntX43SJ86y+hum9dE8/V0PhW/NF5q+NfxevMukbrs1r8ePxoqueXls9wupKjz1X3EZpbRWbGTPBLnqg7Noi5Sr7zxpW9YVF3/Pn2qr3ytwShyrtOxokzzMcfqttocY5BtEYrKHf0qdkvT34i8vkK3F3PVvx4rvfv7HvctK6JTZz5E/DEhs7de/nDWf2muzbsIeBo/Mz3xdzGXSuzZbdGO1nzoRknnsP7Kn+ypOtYPL0zlVy/+G8rxUT80T/fRr/Zu7e0vt/jOGXY0TjxnzP5+BP7eCaU1mgJ01u4gvy32Qopxbcks03+6cAZo4U9U/yrNjRz7+UPzE3fdHfUpPXp3Lfe5TJbdt8scZ27OSTDZuZ6pPgnS7eCxdM7k+1nLW0dc3++Zcaf+fMhfv/atTRl2NE48b1x2qN1Sy45E01rtIr9Fv68ae1r9akqH+t4/Oj117+vw/Xqiqq3jObZmrcb6vCmW//WQpL7lSzFUD1b74O5unFWe37yu3N+zOi9ozGDmmfqHIdNJnkm5/2XrTxPxq9+NFSHoDjVtZR3xddb7w+3BDVpxW+tIo7f+qg6aff5KYOM1r81dWtdcT3zj1By3takyfjd65lkhuozV4fyYvActkoxVJ8gn+T+Dq23DHi+Dsl84vjJ/PdpjC45P8XoVga1DVZ9Pk4rWj7+xNqr6WX3XWu0rHhfy/db7emMx8dBRufNfCcEeV6Yzwpb1v10us7J9Z6PX86V2eXL9ys5+PXvayh4dXx1Xa1Zgitl/KE85+o/VIefkUGo6fhxxSa2OEi+tZbM+24dgjFxYpn96k6UXNd+ZHKKVp7JRzGow1zdMpPO7e/d8avT3Z1n9VFJxs/Me9W67t6X6Tq0gty3X5eMn9jHbtHiapyP0y1+d/zQ8l//vob2V2u0rngLyy3f/n2eWrfHE3XnDQKWFzPPffeu6Xye3bLt758R165rX7p8MuX7/au7L/GMt+7X3MjR56FV55MPQJxbciuD/Rqqf3KWMs7ho9H48b3x0jLl3edZpj2UcyuT6u3dmK2JWnXuPiflvJk6d/OvLnliK8+PP/n8zE0UJz8UvxpqdPxoHQ47WL5JbtBoiUZrPrTYiX1v1aE7dbApo2uMn5/4ltHx55+ict64GmfixHedXFo3yXLvyiIf3muN1hVsW+txmXvOgm+GM+/zM16bz5lqXxKkldIl68rnOVGroX15w34N7ciZ5yFYwvQDcHIv8skk65+Z5Y59zIwfzbN65ed/D2/yOVfvbd3ejZlc7GiemeuX5D+6lfGVzPihSSfqkHyiLqlzPp/zxb913tHNHa3nVfvenSKZWGbeM2u5dvzJTfy5OP1oJeO0Ls5t2dDSDu8zj8HrpTVa22v3Olws35dfdsd3g5x5v7Ufx6Hvh278skRnSn0+SGuNJ+sc1POjn58zxUyua2j8VXnOxR9dV77+rfit5+ru+gRLyAc8JH9mLaO3dNeVXOxoba9aVzzX6++rO3UyTnKN5bzT660W8Hz87rzn4wzl2X1UqqVo3RIIkjy/3mDGk3XozpuMP5F/pnQnx+czSa6lW9LROHHd8vGni5zM5/Bea7S64Puh+izmxx+ul09J61kvs8pMPZrnz4Bg3rhKj+xUt56ZdVWHVcd8x/OTrGf8XCWXMFSHTJ7J+lye52j9W/GDLyfyH6rPXLT4WZrOv1rD8k3rlta8Q9fjOHPPVSb/18hzMhQn2KPkvMn6xDMm42eulwlcG380ThAkrn9rcCCu6pn1Ds04WodMPvtPg/gTBYyzPTk+n0lrseVH+eJk4mT2KzN+9Gmppp18HrbNr3zlY7Wee+D9yn/U+a5k84fzAmW/Ywv885dvpjXiczmBASzIH86Pu3sLbDFfS2sEAACgNQIAANAaAQAAbFojAACATWsEAACw9Vqj+Od/T8zXCnXy+mg+0+OrN+ZDZZI/zJX/ITDl+GRiyZGj8YdymHsYkql2r4/mc8m+j1ZpP6x8f0npMkGqSxiKU74HAFhC0BrF55iJk03+qDT6fiKfofE/g8/UIV7IPn5mvRNbdr4UZ/I5WZ/pSVt71w0Vz3tJ0a6qz2GZc/uVrHl3Ccl7h9YOAPAOyX+hrnqOmT7YVa/sz3ZD1+fyyY9/1V6H66PTle/L+MEtyRUNVWOiYqP5nKnPXBHK/Sqvt650Y1YHtyLPrSVTn+SV7nT5+u/rGYdNlgIAYAlnWqPgembYaMzMXGeOm5lhmSPpXA0Pr/KW0eW/2sfZ6tSjS8jEqS7qfK2GNqtcezWlOMnW0oLdzBRwuiaZfEbjd+cK6pbfx1ft+QEAWMKfP39etdfPiNEjY35YfLicm+vMcTMz7OQBtFrMffCtdiqNt6Aav7qJ3QTm4rfexx9NbMrEZlX3rqzz6JaN7ntQnFb8+PbMJk5kGG9itW7xZs0lAADwjEX+1mh/kDoz1+hpbDT/Sw6g8eEyPgHnI5cxzy+hGv9VvM6s5czul/mUexfUYSirM1szV5x4/PkM4zitusWzzOUAAPAM/61RctjhNTHpfmTrffzR9IquOr+OPgaja5nLv7Vfh3tb16t3dROIU80MPlOczBTVBU7vb1y30Q0FAFiRn1A3NPhMHSYWctWirjq/VkdetZaJTc8k2dq76pf55ONSZ+KcWVcyn8vr3/1yYl2tugEAvNtSv9eoPHLF46fzmR5fHvtaeebr2fpyKPJoxSaWkIwTLCSf/378UJL5h2o0zlzR4vFDyZzf4kvyfCX2ZXRd+YcEAOBGyX+hDuAmmiIAYAlaIwAAAK0RAACA1ggAAGDTGgEAAGxaIwAAgE1rBAAAsGmN1lD+upj9+9aPNm79MpmTk966umvr82z9g2jV+GWct20BAAB9WqMVxEfkZGsUjJyY9KbV3VGfm+o/N+lQ/6M1AgBYiNZoBXOtURzn5KRLmUj19fc1HX900tfulUz+g7YAAOD7aY0WsT8ilx9VT9vx9fIInj+Xx0GS40evt5Lv1qdVz2qcifpXtyCeN//p6LoAALiL1mh9rdN2q+U4vK9enHhfxozjt/KcmHfN+o8OXmpRAAAcaY3Wd2Fr1B287dqeff9z+Ci4vZvnZ7VGo5nkNwsAgLVojdb3SGs0lMlQnu9pjV5/X3dUfvQWfREAwAfQGq3vwtao2qUkW5dWJt2W5kNbozifVvzkprwhfwAAxmiNVvYqXsH1w5uyG0ke5Vvju0GC/iHIv5pJdZZFin/4dG6z8rM/WwQAgF9EawSr0RQBADxAawQAAKA1AgAA0BoBAABsWiMAAIBNawQAALBpjQAAADat0Rqqv9Lnwd9s886GMTIAABajSURBVOzvHTof/O5UW/FHf3nRNrjLrfjTvzSp3N/uR+frVo2zWvx4fLU+1Y8AgE+iNVpB62j17DHrqfPfVUfk+1Ktxp+YdOKwnn9/Js6txSyDXB42eHTnMiw/bcW/43kDAN5Ea7SCMyfd92S1VGLT9ezeklxUNf7opGdqeNUDk7n38n0Pnqurwl5Vk9anwRKuWg4A8ACt0SL2R6v9xeC0Vz2fvRrH9HJ8K0519iCZ0XyCeYeuB+tq1TOuf6sO+f1qlS6YcfppmZ63NT6OWd3HbjEzSZ7Jef9lK8+T8asflWNGnzcAYEVao5V1j3pnjond42NwhL0jnwvnXWTXMsP2lckHr46v1q01S3CljD+U59z+DtXhZ2QQajp+XLGhLQYAPozWaGWZo171o61xfCzfB6fG5NFwNJ8y8pl5MwHfv2WjI0fzL8fPVaB1VzW31nNSvbf6PAztb3KWMs7ho9H48b3x0gCAz6Y1WtnhtHe4GIxvXRw6JiaPsKP5dD+dmPf8OfWSw+5QhDP5ByW6JOEzdb7quRrdr6uek8z4848KALAirdHKqqe04OhWPbFNHxnLi6/dqxt/NJ/WXVcdeTOlPhMkzmeobkPjR+swGufadeX3N9iXnyvn8x/dx3ycIH8AYFFao2UdDlXl++oRMzhHbo1TaXAebc3SSjUTfGLebibVWZ7ar3hpmToMjY/n7aZ65vroulqpDsUPvpzIf6g+E9GG5gUAHqY1An6hsk+7vIfRFAHAh9EaAQAAaI0AAAC0RgAAAJvWCAAAYNMaAQAAbFojAACATWu0hvJ3s1we/L6fULxC0fZfThTz1voH8Vs7krlerj2/uZk4rcHVmt9UNwCAt9IareCpo/lH25/Uy/dDi32k/q1JM+9bcTL5Z+IkC/KVzxUA8HtpjVbwzqP5f18+vuSrFnV4zRVz+pZkJavxM61I/L4VJ84qMz5ZkIm6AQCsS2u0iP0Rc3+xPLwezsTdY3T50SF4a3x52K3e0p03uNiKX73eWv7hrlY+1cFx/eP9KoOM7m91gUMLD67HmcfjWzUcXRcAwCfRGi0rOJ4GJ+ZgfHkOLk/JQZyn3nfXW35ZXW8r4ONaybSKUF1veb07XXX8oWjBwwMA8G20RssKTqJxq1DeG3cI1aN2eRqeez8XZ3S9yTp0J1pnl8vrh0oe3rTK0oocj89nBQDwPbRGyzrTKrTahswUmcGj70fjjK73ZB2md+dktIl9adUhU8Y4znRiAABfQmu0rOQR/0xL0D0Wr/B+fyWzxmTMakFGd+dMkJM1qa639WV3wPS+3FcfAIB30xqt7LV7ta63zsGHN3GQO+ZtxQmO2kFKyXuDMa/itc7mJvMcvb41WpRMnOSj0l3ds0UGABigNfpEjx86H0ng8VWTZKcAgI+kNfo4E/8X/kcn8Ph6AQD4FbRGAAAAWiMAAACtEQAAwKY1AgAA2LRGAAAAm9ZoDfsfv3b5j2J71V6PL3md+sTxP7Ri5eo+egks5T1/knho+Z2C769Lvu9G41/y/T4d4VP++bVUkp9StGeLE9VHa7SC/Sbd8UBfGP+Rb7an6vPz/tP/lFk//8XT48fd34zViT7O52bO3vv3Mfj+uvY7oowW//Pu/OzTEaqpvnlf7lvdfZmsk9I6sv/80hqt4J1H/+3EHytPfadN1Of193Um/tf8ybL4QhZPj72v/Aa5r0R8rsf38dbvtWq/EUxxPoHpCOUBxvfXHXX+DbLfU1qjRex3a3+xPOL/fHn4KNjyw0dx/Hje8qP4/T7VuXmD+sT1rMaZqH818lD9gwyDupVLCOoTF+FMnNZ65/axm+Tj8fdXMlN8en3iOsTLnFjC2+o2GifIZ2hfutcPdWtdP/O8taboBn/8ecvPWy7wfN2S+VwSP1O30TVm6lwNnpkiX/94vfm1VOv/Kl75eibrEwQf2t/MorrraqXRnWJ0+1qLmtuvM9ffFj+aWmu0rOS3R/XxbT3lrTGtRySYdyjP/dSZHKJH9r31r35rjdZ/aH/3AW+Nn6/z0HpPxr88/4l6HsZMl3poLVflPx2/W4fD9UzweKPjVIcG59eVWW9mita+BPce6lmOT1Y1uPfC5+EQdmiBZ/YlOe/oujK3HC4mw96xL6+/r/LKrYsN4gfFSa5rH7y7im6c0fVOzJVc8tCk+wpUn5OyPvmixftYjZNZbzXaRA2T874nfmdSrdGygp2r7nrmEd/+fuNtxbdQOb51PZPMIU6ZZz7+glswWv/8Jh4CJus2ET8fJ5NqOXg6fvd6MmY5/pXepn3mF5Z6rj6t/LvJj8YPPt0POCTQjd+qQ3cvgsGjW5+sT5zPfc9V6/rQ89ZKIFjv0LqCe+fiT8ybeT9atyD/ZNhk/LhocU0m1tsdUw6IbwmKk6zb0BJOxs/v16H+QZB4WHL2n2E//1u+aS05ubruEpKZ7wdnZh/al1fxml7XRPz+jFqjZXWf78P76sUgVOY5G41zZt78gHz1TsYZKlFQh/wmHgK24o8mP5pbfouTmz5X50vit+oZBLyk1FfVf/R5OJN869NW/TNzBePjUCf3fSLO0NJa+zKxNWe2rPo8jO5RZl2Z5DNzdeME855c41DdrtqXVrTRWl1V52BAfEuQf/XGOP5QekOlO/MwxLcP7W933te/j1/r+v6uTPzMEqqfTq8oOfvQJt4aPzW11mhZwfdh9aPk+G78TJzR8Sfnna7eJUGSWzOR/2v3qhb5TPwL6zy03jPxR2MO1SFfz2Ta76nPaP7T8YM63B2/GmpocH7e6XyS+9KqWxAzs5z80n5eJ+t2WMJEPef2JTnvYb3TdevGz2/QUPyr3o/WuTogE7ZVnHyeQ0sY3Zer6jOdf2bSQ/LVtQRLG50imHp0vUOTnnl/d/zsvFqjlb12r9b18lF+1b7lqg9BN/7W+G7JjD8zb/N5XaD4o/XPzBJc2X85Wp9WPtNxWus9v49DcYbij9bzTPKtUGfqP5r/yf09M29mc1txqnU7fHTJupLXu1NkytVa1JnNyuSZnPry5628/e7n7ZK6Bfnn65aJ36rbyetDdS7z3C+8Grw6PqhbXIT8xrXit/Zluj7J561ahKA+waTll6PX5za9+mV3UZliJut2yX6dif8qXvXptEafaOh5Rf2tV30WtFrdVstnKM/9xU9ZyAp1+6D4PMv+/iJao48z2mqj/tarPqtZrW6r5TOR56csYbW6fUR8nmV/fxetEQAAgNYIAABAawQAALBpjQAAADatEQAAwPZ0a9T6oR9P/TAQP4SEH88+Ces/h1dluP5KP7SwH53MG+Ydjf+en292SaqP1Oc9pbh1xkW+6T49//fkUw2+VB1OVu/Zfcn8iZRM8trn4Xyo/e3NUCv8rVEruWf/aH68LN0kH4mzfmWuLfKzT+Dij+K1f9i1Pnp8mZ9b2KvSeHM+75l3Inh5y93P//bcaa866XvSWGe9Fwa/afw+7RX+3HhPPq2H86rpni3jIn/utUbO/fl87e6c+XM49YhqjdaZ9/0ZjsZZvzJr1vlT5n0qz9X+BHjcIgv3/MeJXZJnHOS1e622/C+Y6D2T3vrP2f3gRZ6TW0va+o64cK7Hy3hrAvng1/5z+b4NOvP91bz3v9Yo87SV71vj89cv2YDXv6/z5aveGC8hSKl7PQieGd/6KFmf/LpG5+3ue1D26vvRUK0k4y2uppSvTzXPuXxO1r81+Kr8k49Wd95WnNH1doMn9z2ow+gUmbpl6pmp2+PP4d3zjj631SSffT6DwZmlDSXZzWe0PtPx8xs6FD8Zp/ucTDx1V9VtaB8zcZJLGMp/4vol+Qx9ObR9ccBWncsBh+STObTilFNf+1x1S9e6nin+dMGH8q+OD+IEwfe316f78+dPOU11MdUyZd7HuzI6OB7Wyj8ZqhskE2q0PhP1vCSH0bJkti857/Q+XriVh/fB+HLY0BIy6yon2l8pB2fiTxRtOv/k+NGtr95+Jn5Z5/PP22j9R99nnNyXoD77K/FzePe8o1sQzDv38MR1Pvk8lOvt5t+a97D80XyC1Q2tt7W/o3WerkO8X8nVXZJnMnKyzq9iW2/Nf25fXn9f0/mUz0+82Ne/r6E6J/eru/zk7MG9EzVvlWjo6Qrqf4g/Uefu5mbyb9WhdW8wPmX/t0YTj8JQxVvVzMw+V7LD7r5/C0eLmdny7vXDkifin1naJcGDPDNhq3U4PAzlm6GU8uNfxSvOp1vPIP/M+8vzn55uOs5c/GrdhtY1nfyZ95l1ZfLvrvcVPk7d5/DueUe3IL+QieDdsMF6h56fVqggz8Py4/hD9RnKP9jfS+qciZOfYvR5qG5KK8JQ/t06V+t5SYmGrgd1GMoqHtMKHm9fvhrV+JnllO+r+9JdcvXGzFr2N04sOdjK5HozcwXzjuYfJJDZr2H7/9aoVbLMp8n8qmNOLiyT5FCBLtzCTJ4T9ekOS8Y/WZlk3SaCB6GG6p9JKQg4NG9rfDJ+fn8PYSf2/Y78y2HJSafTnot/+b6P1v+q/QrGn9nHfN3KsLfOO1qKbj2TsyTrnA+b2ayJVFv70t2g/EK6wzL1majz9H4NTXE+/snIyTrH23pylvz1zKTnx7z+voaKnC9INX6mAmfqX713NHjwPAwVPJjrqvXGwZP5J/PszpsV/wt12+7R6dZo9H039eSSMiUbqs5NW3hh3arruipOZmkn553exzP1b9171byt8aP5dPM8hL2q/ifzz4wf3bKhNSbj37fvP6/8XpxZ12j+yfH5usVhL593tBTdeiZnyeTfLcLJfc+k2tqX6XnLi0MxR/fxTH1G9yte3eV5VuuW3Moy5iu3v1flf9X7M/tVxomvnKlz5vrcdHGc6dq2SpSZPVn/k+vtbm4mZibP8wm//r46P4YhXlU5vnu9mnF5V+v6UMla5cvUpZXwRJzu9W7O1Rnj+JnHJYiTenRm15sMXqadDxXUIS7mq1b86ecnGT9ZtOrtc8/VhflXH4nWEoJJu4/W9HMVDG591KpDfi1ntvj173ObWVrwPHTzmUuy+xxePm9yi1+1Zz6YOjPRflgr1OhzlV9yMs9qYt36j9Ynn38y7UydR0O1xncXlZwlEz9Y2mgp4v0dTX4i/6uuD+Uzsd6JIsRfBut6zT6cmedwSzz/8ZeZecv41ToH9Z9bb7nA0fwn9ms01dQP7x4Kzacrn+PHH4DHE0jWZ6k8P73Oq9Whte/7wYsU8Kk0ftu8PGjin1OeE8646vn5yudw4vtxNf8kHLRGH7o8vsynPIefkue35v9gHZYq3VPJ/LZ5+SyeE8646vnxHH6GFX7lKwAAwMO0RgAAAFojAAAArREAAMCmNQIAANi0RmvY/7iSd/7okviHpVz1w1huWtch4HT8q35czDt/8kxyy17/vjKpVq/7cToAwK+gNVrBI61Rd9Jf0hpdmNsKfVGr4D9fZsY8tTQAgCdpjVawZmv0yBSH831+5C9pjbp9UbUg+4/iMc+uDgDgSVqjRexPqD9v9mfZV/H/7pdH1fgEXA3SSiaeNJlPdV3dOiSP4IdJg4UP5d9dV3XSuKRDk3b3sRW/NfgwSytgK3h1IgCAL6Q1Wln35Jo55gZBqufyavDt397mzPH62uIcXpnc8sPiupUFrC4/U6tkPefit5ZTTf5wMX4kAAC+itZoZfGpNziXB4Pjs/XE9W78u4tzmLpbk/yw1roy0+UnSr5v7UiZZ5l/9d4geHWi4DoAwDfQGq2selo9ebyOg7cGDA07v+RMwDL/ZH3yw1ppDJX0zH4lt6Bbk0yoePDlGw0AsByt0cqGjtrb7jR8/gjeCr7/MhlnYsmZIK30umvMD4vrfHK/uvFbpQjqk8+5DBLc211yKx8AgE+iNVpZ64i8v5I5PbfO2Znrh4nifN55RK7mENSnNb5cYLyufNHKfOKEu2uMr8fzVpfQjRCnEYQCAPg8WqOVDR06M0dt1vdB+7h4egAAY7RGy2r9X/jX3sKC7CMAwAO0RgAAAFojAAAArREAAMCmNQIAANi0RgAAAJvWaA23/rzmV/H6jnVtid87VCaQuWUuPgAAn01rtIL3tBD3xX9k3lbw1kTJ6z9fjsYHAOCzaY1WoDU63JIfmZ8oc30/u9YIAOB30RotYn/y/nmzf+1HBkf26VsOyQQdQjC+7BnKdXXrMNF7ZFqX7vXDKuKiPf7AAABwMa3RsjJH8+r7uKXptg1XvX+kUMFi4+v5unWLCQDAR9IaLWu6LWkd8VtTVI/+rfdxd/FslfKfttZVvSWYQncEAPA9tEbLurs1mo6fSfjkqpNxplOqtkatW7RGAAC/gtZoWU+1RtuuW5jO4eSqM0HO5NZde+vL7nrz+QMAsBat0bIyrcv2b0dUPdO/dq/qFNXb43lb/cA7W4JX8ZrOsxsnmDooKQAAn0RrxMH+ZO+UP106AAA+jNaI0iN/CwQAAE/SGgEAAGiNAAAAtEYAAACb1ggAAGDTGgEAAGxaozW84edl3/cT58rfL1T9rUGtWxav2/b3V+gGS86vyw/9AwBYl9ZoBXcf8X9i3todtfJvTfoRrVF3OdXaVpO5pBsEAOAuWqMV3HrEbx3lb51i4q731C3fn7x2r3jSTGvUigYAwCq0RovYn6p/3hxe+8Gti+WX3etD8TPdQhynlXAwPohTnTeucyufYHz1SpxVXHMAAJajNVrW/jy9NU7VmSN4a0zrfXdAK2ayT+gmn5/3nbuQ35fkugAAWIvWaFnBETxoRcqLox3Iq3jFN5YftRYSX2/NG0R45y5U84xL0VrXU2sBACCiNVrW/vC9Fa3LYczhruCw3rq9ddbv3hjcEn86FCQzIF/VfJxuhePtuGMJAADcQmu0rInWqNXedK9n4mfmjRcSX5+Yd7qq+SDl4Extk0sGAGAhWqNldTuHV7tlan1ZPeWXHwUXg2TKQ/+reOWvt+K8uf7d+nQX9ewqAADI0hr9Zo7pAADwP1qjX8tfYgAAwP+nNQIAANAaAQAAaI0AAAA2rREAAMCmNQIAANi+ojXyY9YAAICzvqA1+o/uCAAAmKc1AgAA+J7WaNMdAQAA076pNdp0RwAAwJxvao30RQAAwKSvaY30RQAAwLyvb438aG8AAKDvC1qjuPnRGgEAAH1f0BoFNEUAAEDKd7dGAAAAKVojAAAArREAAIDWCAAAYNMaAQAAbFojAACA7Vtao/0P6e7+wO7gNx0NxTmT7eMVAwAA/vELW6NgzBtaI79qCQAAVqQ1OhNnC/8OqjVSawQAAMv5jtZo2/1bavvGo9WNBC1QNU4871C3ozUCAIAVfU1rVIr7n/++fH+jojUCAIAV/ebW6JEuRWsEAAAr+s2tUXl9ehb/Qh0AAHy2X94alR/NzaI1AgCAz/bFrdHW+BfnDlfe1qu8itfj9QEAAP7nu1sjAACAFK0RAACA1ggAAEBrBAAAsGmNAAAANq0RAADApjUCAADY/m/78+ePX7MDAAD8dj9/a6Q7AgAAfi+tEQAAwD//rZHuCAAA+KUOP4ZBdwQAAPxG/tYIAADAf2sEAACgNQIAANj8XiMAAICt+DEMAAAAv5HWCAAAQGsEAAAw1Rq9Xn+qnl8MAADAHK0RAACA1ggAAEBrBAAAsP1tjYZ+r5HWCAAA+DY/f2uU7460RgAAwLfZ/wt1ye5IawQAAHybw39rlOmOtEYAAMC3KX8MQ7c70hoBAADfxt8aAQAA+G+NAAAA/IQ6AACAze81AgAA2Go/hqFLawQAAHyZ/wcZOVhuyok2kwAAAABJRU5ErkJggg==" alt="" />
10 得到当前Mongo服务器的连接信息
db.getMongo()
aaarticlea/png;base64,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" alt="" />
11 为排序和查询的字段添加索引
了解数据库的朋友对索引应该不会陌生吧,当数据量比较小时,它起不到什么作用,当数据量大时500W以上,你的字段就需要加索引了,性能提升相当的明显,如果你不加,那你就等着昙花开吧,呵呵!
db.TableName.ensureIndex({FieldName:})//1为升序,-1为降序
db.TableName.getIndexes()
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" alt="" />
12 删除索引
db.TableName.dropIndex({"LoginName":})
13 查看数据表的状态,同步显示分片的状态和每个片被命中的数量
db.WebManageUsers.stats()
aaarticlea/png;base64,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" alt="" />
14 查看数据库的状态,它会把相关分片的信息显示出来
db.stats()
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" alt="" />
15 在路由服务器查询分片完整的信息
var db=x.getDB("admin");
db.runCommand({listshards:});//需要在admin数据库下
aaarticlea/png;base64,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alt="" />
16 设置数据库的分片状态,让它生效
#指定databaseName分片生效
db.runCommand( { enablesharding :"databaseName"});
aaarticlea/png;base64,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" alt="" />
17 设置数据库下的数据表(Collection)分片状态,让它生效
#指定数据库里需要分片的集合和片键
db.runCommand( { shardcollection : "databaseName.tableName",key : {_id: } } )
aaarticlea/png;base64,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" alt="" />
18 对数据表进行分组
db.tableName.aggregate([{ "$group" : { "_id" : "$DepartmentID", "userCount" : { "$sum" : } } }])
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19 分组第二种方法group强大命令
db.M_Partner_Footprints.group({
key: function (doc) { PartnerInfoID: true },//分组的key
cond: { PartnerInfoID: , Login: { ClientType: } },//条件过滤
initial: { "count": },
reduce: function (doc, out) {//聚合方式
out.count += ;
},
finalize: function (out) {//结果处理
return out;
}
});
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" alt="" />
20 group对多个字段进行分组,使用keyf函数来实现
db.M_User_Footprints.group({
keyf: function (doc) { return { UserInfoID: doc.UserInfoID, TeacherID: doc.TeacherID } },
cond: { UserInfoID: , Type: },
initial: { "count": },
reduce: function (doc, out) {
out.count += ;
},
finalize: function (out) {
return out;
}
});
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PzisLwryv8kmkCrE3eX+RLUvBLpgmwPHl/hTQF3/9um/vHB/q8tW/f1WdpiIvCvmtGADSR99Ns4v+inls2a3xmMLzvM1cJ4KvJ+2mek/cDGx8vvuV8XcADXEXeT1OKzOzl601LenW90nO62d8r9Nt9s0l8Y96XSgJgnLyfJhuZ7Y2vcmRmI7ze1e53T8/7xiWaMxDA15H307SneOl0vJR/jdm8RN5XvgRgnLyfZjh6e9vlPQBb8n6aU67n7/bctftA3g9ncHoZo30iLfsCUCPvZ8peok8b0y3ff2/Z3d/Ji92y9+sD1fs8ErqNu1emefvDB7Awec8S5D3AIfKeh3NyD3ACeQ8A8cl7AIhP3gNAfPL+Or8vbr+9EjMC+Hby/iLxojHejAC+iLy/QhqN79zt+CgHO2l/q/0VYX/iUgCwQ97P8f745JzNnVO6PbGTcyvsHRSAS8j7yU4/RT69k81libEOd3eU9wBTyfvJ0mArXT+vNG5OwXd3T6/YV0qS9wAByfvJWsK1q7H+m4LN/Wysnp73vevQ8vwAgEPk/WSVU/bdc/R6b+nZ/KbPUqbekvebCcp7gGvJ+8kar2PXz9qzu9e3bG+flvcttQFwDnk/WUu4XtGYDr1b0nAGt1yfrxQp+wHOJ+9narluv2n8/Fbly8YtNwOl7dnNxqbZuBTZid/+SAFEI+95GnkPcD55z3M4uQe4irwHgPjkPQDEJ+8BID55f53fV7x/4egAPIu8v4iwB+BB5P0VQoZ95e3ynlgAPJ28D2BC3G4+pafSCMATyfsArv4svJe8B1idvJ8p+yGym5bs/fRO2uFY4nbtWNlY3gM8mryfpv0UudSY3SD9cuZEbikAgG7yfppsKB58ElDpedpEhD3AAuT9NEvnfWl0YQ+wBnk/zfHr+dmu0i97q2rZvbckAJ5F3s+UfWFdvXFzq28/XNJY8WltADyUvAeA+OQ9AMQn7wEgPnkPAPHJewCIb6289zpwABixVt6/vM8bAAbIewCIT94DQHzyHgDiWy7vXyIfAHotl/fCHgC6yXsAiE/eA0B8AfLeh/AAwA55DwDxrZX3pWiX9wBQs1bep5zcA8C+1fMeANgn7wEgPnkPAPEtmvd+bQ8AHdbN+9trAIBlyHsAiE/eA0B88h4A4lsx74U9APRZMe9fIh8Aush7AIhP3gNAfPIeAOKT9wAQ37p5L/IBoNWieQ8AdJD3ABCfvAeA+OQ9AMQn76/z84rC8K8r/JJpAqxN3l/kS1LwS6YJsDx5f4U0Bd//bpv7xwf6vLVv39VnaYiLwr5rRgA0kffTbOL/op5bNmt8ZjC87zNXCeCryftpnpP3AxsfL77lfF3AA1xF3k9Tiszs5etNS3p1vdJzutnfK/TbfbNJfGPel0oCYJy8nyYbme2Nr3JkZiO83tXud0/P+8YlmjMQwNeR99O0p3jpdLyUf43ZvETeV74EYJy8n2Y4envb5T0AW/J+mlOu5+/23LX7QN4PZ3B6GaN9Ii37AlAj72fKXqJPG9Mt339v2d3fyYvdsvfrA9X7PBK6jbtXpnn7wwewMHnPEuQ9wCHynodzcg9wAnkPAPHJewCIT94DQHzy/jq/L26/vRIzAvh28v4i8aIx3owAvoi8v0Iaje/c7fgoBztpf6v9RWFfeqv9WUsEwP+T93O8Pz45Z3PnlG5P7OTcChvHnTYowJeS95Odm2eX5v1w/42n5vIeYB55P1maZ6Xr55XGTTru7v75ZelaffbLS/M+O6iL+QCXkPeTtYRrV2O6QSmwSyF6et4fWZP5owN8BXk/WeWUffccvd5b9hS5JT7vzfvKEPIe4DTyfrL6tfS0fSzvW4ZuKenqxE37d34PcAl5P9np1/MbG9Ohd0sajtv0WsXuuLszkv0Ah8j7mVqu228aP79V+bJxy81AaXt2s7Fptq9GqareDgEokvcsQd4DHCLveTgn9wAnkPcAEJ+8B4D45D0AxCfvr/P7ivcvHB2AZ5H3FxH2ADyIvL9CyLA//r58AG4j7wOYkMGbT7+5fcoA9JH3Acz5LLxThgPgHvJ+ppaPj83eT++kHY7F8MCO8h5gPfJ+muwpcldjdoP0y2mzAGAZ8n6abFIefBJQ6XnaFABYgLyfZvW8F/YAC5P30xy/np/tKv2yt6qW3SujA7AAeT9T9oV19cbNrb79cEntlQ8PBMCd5D0AxCfvASA+eQ8A8cl7AIhP3gNAfGvlvReHA8CItfL+5c3fADBA3gNAfPIeAOKT9wAQ33J5/xL5ANBrubwX9gDQTd4DQHzyHgDiC5D3PoQHAHbIewCIb628L0W7vAeAmrXyPuXkHgD2rZ73AMA+eQ8A8cl7AIhv0bz3a3sA6LBu3t9eAwAsQ94DQHzyHgDik/cAEN+KeS/sAaDPinn/EvkA0EXeA0B88h4A4pP3ABCfvAeA+NbNe5EPAK0WzXsAoIO8B4D45D0AxCfvASA+eX+dn1cUhn9d4ZdME2Bt8v4iX5KCXzJNgOXJ+yukKfj+d9vcPz7Q5619+64+S0NcFPZdMwKgibyfZhP/F/XcslnjM4PhfZ+5SgBfTd5P85y8H9j4ePEt5+sCHuAq8n6aUmRmL19vWtKr65We083+XqHf7ptN4hvzvlQSAOPk/TTZyGxvfJUjMxvh9a52v3t63jcu0ZyBAL6OvJ+mPcVLp+Ol/GvM5iXyvvIlAOPk/TTD0dvbLu8B2JL305xyPX+3567dB/J+OIPTyxjtE2nZF4AaeT9T9hJ92phu+f57y+7+Tl7slr1fH6je55HQbdy9Ms3bHz6Ahcl7liDvAQ6R9zyck3uAE8h7AIhP3gNAfPIeAOKT99f5fXH77ZWYEcC3k/cXiReNk2cUaekA7ifvr5BG4zt3Oz7KwU7a32p/UdhXlkLeA5xJ3s/xm17pnVO6PbGTcytsHDetQd4DnEneT3ZujF2a98P9N6Z1aaB4vwoBuJ+8nyyNsdL180rj5hR8d/f0in2lpGl5n9142tUFgO8i7ydrCdeuxnSDynlzNkRPz/sjyyLvAS4h7yernLLvnqPXe0vP5kunzrsl7e5y0bLcMjTAV5D3k9WvpaftY3nfMnRLSZeGbteTFQAOkfeTtYTrFY3p0LslDcdtY1TXa9t8V/YDHCLvZ8qettYbP79V+bJxy81AaXt2s7FpDi9Iqf7bHz6Ahcl7liDvAQ6R9zyck3uAE8h7AIhP3gNAfPIeAOKT99f5fcX7F44OwLPI+4sIewAeRN5fIV7Yn/K+fABuI+8DuDqD38lnAd0+ZQD6yPsArv4sPHkPsDx5P1P9Q20/v9zcT++kHY7FcOOOnyXdvowAdJP302xyeqCxFLoTMtjv7wHWJu+nySblwScBlZ6vq1zkA6xH3k8j7wG4jbyf5vj1/GxX6Ze9Ve3uLu8BlifvZ8r+CrzeuLnVtx8uqb1yYQ+wJHkPAPHJewCIT94DQHzyHgDik/cAEN9aee/14QAwYq28f3nzNwAMkPcAEJ+8B4D45D0AxLdc3r9EPgD0Wi7vhT0AdJP3ABCfvAeA+OQ9AMQn7wEgvrXy3ufpAsCItfIeABgh7wEgPnkPAPHJewCI7yfv3/9u9xcEAJzu8/xe3gNATPIeAOKT9wAQn7wHgPjkPQDEJ+8BID55DwDxyXsAiE/eA0B88h4A4vN5ugAQn7+XAwDxyXsAiE/eA0B88h4A4pP3ABDf7+vz7y8FALjI7/m9yAeAsHzeDgDEt/n9vcgHgIDS1+uJfAAI5v8AFBWjhSjbVxoAAAAASUVORK5CYII=" alt="" />
22 使用aggregate进行聚合操作
db.M_User_Footprints.aggregate([{ $group: { _id: "$UserInfoID", num_tutorial: { $sum: } } }])
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" alt="" />
23 管道,MongoDB的聚合管道将MongoDB文档在一个管道处理完毕后将结果传递给下一个管道处理。管道操作是可以重复的。
一 $project选择指定的列,_id被默认选中
db.M_User_Footprints.aggregate(
{
$project: {
UserInfoID: ,
TeacherID: ,
}
}
);
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" alt="" />
二 $match选择某个范围的数据,并将结果传到下一个管道中
db.M_User_Footprints.aggregate([
{ $match: { UserInfoID: { $gt: , $lte: } } },
{ $group: { _id: null, count: { $sum: } } }
]);
aaarticlea/png;base64,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" alt="" />
各位对索引一定要引起重视,因为在大数据情况下,如果没有索引,在进行排序,查询等操作时就引发全表扫描,那代价是非常大的!
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