Mongodb
Basic commands on mongo shell ![Image result for mongodb in ubuntu 16.04](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxIQDw8PEA8VFRUPFQ8PFg8VFRUVFRUVFRUWFhUVFRYYHSggGBolHRUVIjEhJSkrLi4uFx8zODMtNygtLisBCgoKDg0OGxAQGy0iHyYtKy0tLS0vLS0tLy0tLS0tKzUtLS0tLS0rKy0rLSsrLS0tLS0tLS0tLS0tLS01LS0tLf/AABEIAJ8BPgMBIgACEQEDEQH/xAAbAAABBQEBAAAAAAAAAAAAAAAAAgMEBQYBB//EAFQQAAEDAgMCBwgMCQwBBQAAAAEAAgMEEQUSIQYxE0FRYXGR0QciMlKBkpPSFDREU1VicqGxsrPTI0JUc3SElKLBFRYXJDNDRYKDo8Lh8WNklcPw/8QAGgEBAQEBAQEBAAAAAAAAAAAAAAECAwQFBv/EAC4RAAICAQMBBwMDBQAAAAAAAAABAhEhAxJRQQQxYZGh4fATgdEzcbEFIjLB8f/aAAwDAQACEQMRAD8A8eQuroef/wAAuhwEoToncOMdQS21jxxjzW9iEyR7rmYcqmtxSUbnDzGdieZjs43Pb6OP1VSXLj19irzjlHWjhByjrV2zaiqG6RnoYfVT7NtK0bpWegg9RQJvj19jO8IOUda6CDuK0w7oFe3+/iHTT033ashiD8Tw3EZqyOIuohTvhrWRMidnfK1hp3GMAPDmkkDitdQ2lZiELU9zjZ2LEq19LMSAaeoka4G2WRuUMJ5QC7cszPC6N743iz43Ojc3kc0lrh1gqiuohC1Xc02YbieINglzcCxj5ZS05TYWa1odxEvc3yArL1DbOe0cReB5CQhKE3Rdeh4hV0Jq8ILHQ5WTXnJMRYP6tQgF1hozM1/hX75smu+zuA1VGcTr21MtO1kkNL+FcYuDM/AxxTZHDvSc80jiW6HI48Slmtp5uuXVhjlSDW1U0JFvZE8kZaBlsJXGPKNxFstuJbbD8Sp3YxXyPlp8h4Bsb3cCIjCKin4drCRkP4HhRp3xGYC5SyUedIurbZB8ba2AzFoYBPcvtl1hkDb5tN9vLZXLqqmOzzYs0YqWFpsMvDOD6p5cD+NdrY2Hok5EsJGPzDlXbrfz4hE3F8Ml4WmEeSJsgj4F0Mbcz2uaX2ALSLOGYBzQ4A7lUUM0L8IruFkh9kzS+yGtdYSng30/gWFmgiWo73S+XQEA2WWjL3QtfG2H+Uqd5fT8FLSNYDwsGQSDDeDIk760TuF07/LrrzrJPYWktNrtJabEOFwbGzmkhw5wbFUjVCULWYFJQUzaaWspXzcMyRxAlLBo5zBoB0HelVOD0dbDUTYZwzJaZvDSUMpbJnhBAdJA9oBOW4Ja7XXTkR4MRe4yKFYUGFSvmhY6CXK+SNjvwbx3rnAHW2mhKnz0cLXvYaCr71zm52ucTobXALLFA206ooEKzxLBZInNLGSPjkbnY/g3A23EOFtHAixUP2HL7zJ5j+xCp3kYQnhSSccUnmO7EOpneI/zHILGUJzgH+I7zSucE7xT1FBYhCVwZ5D1FGU8h6kKJQu5TyIsgOIQhACEIQAhCEAIQhACEIQG2rMXnw2lw/2DliZU08c8lUIo3ulncXCRjpHtNslgAwWt5Vnsa2oq60MbVVTpGsOZsdmMYDuzZGAAu5yL6lGD7S1lG0spquSNrjmMYILL8oa4EA84VkO6HivwhJ5sXqKFJ3c2oZS+vkiDrjD8Qa0tBJDywZLW47jRRe6LAHVMNextmYnCyqIG5s4/B1LB0Pbf/Or/AGW7pdePZAlqDJlp55BnazRzAC0iwGqrsNifi2Hz0cbc09HPFUwDjMVS5sM7Pkh5jeU8TMXb2lx3ND7Ebho3SYxWAn9FpA63ReZ1+cNXmdX/AGkny3/WK9Eo6tjtp8Pp4TeHD3xYfF0QRua93SZM5vx6Lzqs8OX5Un1iiNyLKSjggDW1DpXSOAc6OLIBGHC4DnOvd1jew3XUfEaJrGxyxPL4pcwa4izmub4THjdcXGo3p7af27U/KH1WpLvaDf0p/wBixaOCbpPkMGw5k7Z3SScGIWskzWuLF1nXG8mwNgOOydhpqWZwiifMx7u9Y+XgyxzuIODRdt9wOu9NYb7Wr/kU32zVDov7WL85H9YIXLbz8obewtJaRYtJaRyEGxHWrGOjhjjjkqHSF0wzshiyghm4Pe51wAbaAJjGvbVT+en+0cn8e8Kn/RqT6iFu6HKjDYTTSVMMjyGujZwbw0OaXHvs9tHaWsRbjUHD6N00jY2kC9yXHc1oF3OPMACpVH7SrPl0n1nowHwqj9FqvqhCW0n86ChHRE5BJOL6eyHCPg78pZ4Qb5bqBWUzopHxPHfMJabbuYjmIsfKmH7j0FWu0/tuT5MH2TEKsOgxX2vQfm5vtXK67mUrmVdS9ji1zKDEXNcDYhwiuCDxEGypcV9r0H5ub7Vy0ncxxKnglqjPEX5qWqbYOsbFvfDyi45roxCW1X+/8lfhW2eJOqKdrsRqSHSwtLTK6xBe0EFWFRimOGV4bVVWUvflPDgDLmNvxtBayzFE5prKct3cNB9o1Ra4fhpvzkv1ylIXJvBq8d2qxGLgqf8AlCpzRNPCScJIMz3m9hfe1o0B49VTu2uxA78QqPSu7Ve01a2bAKrhIw6SinpWsmOrwyfMCwO35QWXtz8wWIUEU6yWztp64766f0ju1Nu2gqzvq5vSOVahLLtjwXNJPWzBzm1Dw1lg6R8uRgJ3C5O/mCJBUcdWw/64KTCWTUjIDMyN8MksgEhyskDw3XNawcLWseIqJLhzg1zmyRSBup4N4eQOUjkVOdK+i+w4903HUA/6t0y58nHL++oqFDptHjI7x/nSC88pSEIWjpcuIQhQQhCAEIQgBCEIAQhCAEIQgLLA99V+i1f1QndlNoJcOqm1UOrgyaPLuBD2EC/MHZHf5VW09Q6PPlNs7HxHQG7X6OH/AGmkIsOzS9zmtZDilJLKC7LJe99S4tdqT0m/OqTF5GOmmdG0hrnPIadSASbC/GmqWodFIyRhs5hzA2B16CmyUJTss9px/W5XcUuSVjuJzXMbYjlHYiduWghDtDLPLM0crBG1mboumqXGJY2CMFrmt1ayRjZA35OYXCjVlW+Z5fI8ucbC5toBuAA0A5gqZUXhcE3Dfa1f8im+2aoVF/axfnI/rBciqHNbIwHSUNDhYahrsw14tQkMeWkOG9pDh0g3CGq7/nQlY17aqfz0/wBo5P44L+xZPxX00DQ7izMGV7ekEKBPMXve9xu57nPJ3XLjc6dJUynr5qdvB6ZHgSCKRjXsIcLh4DhpflCEpqh+licMPqpLd66SmaDylpdmt0ZgkbOtzSyMHhSwVMTRyuczQfMpDq6SajqzI6+V1IGtADWtGZ+jWgWCpGuIIIJBBBBGhBG4goZSbUk/mEAYXHI0EuPehttS7da3LdWW0rgauaxvl4NhI5Wxta75wR5F07QVG/M0OIsZhGwSkfLAv5d6rChpJ3bLPFfa9B+bm+1cu4EMoqZj4DIJmF3FnkGVjAeUk7k3T43MxjIxkLWXDQ6ONxFySdXC+8lNV2JyzACR92t1DAGtaDyhrQBfnQztlVHMH9s0356D7RqkOw6SWafI0nK+ZxsCbAONzpxKvhlLHte3exzXg79WkEfOFu9le6RPR8IckTjI3KbxtbrvDrssT0HQoald2GA4ITg1Y2aogpvZtRS8C+peYmyCnzOkLTYlw78C4FrgqoOx7fhjC/2l/wB2q7aPHJq2bhZ5XPLRlaTYBrfFa0WDR0AKLSYVPM3PFTyvbuzNY4tvx2IFipRvcqyW79lGj/FsNPRUv+7TD9nWj/EqA9E7vUUM4HVDfSzejd2JBwioG+nk8x3YlMw5R6Mffg4Hu2kPRKfVXIYmwEyGeN5AcAyNxdmJBGugsNVHOGze8v8ANKQaGX3p/mlUmH1I4QnjSye9u6iuGnf4h6iobtDSEswu8U9S5kPIUFiULuU8i4hQXcp5FxCEFCM8iVwLvFKSAPG+lcKAcFM/xClCjk8Q9SYXboMkgUEvvbupLGFzn+5d1KJdF0J/cTm4NUH3O/qTrcAqT7lk6gqy55UZjynrVwSpc/PMtv5tVh3UkvUEpuyded1FL5o7VT5jynrXc55T1lC1L5/0u27G4id1BN5o7UsbEYmd2HT+aO1UQk5z1lScOop6mUQ08ckjzciNlybDeTyDdqdNVCqy3GweKfBs/mjtVNiWGzU0hhqIXxSAB3ByNLTY7iL7xodRpor4bBYsfcM3nx+upW1UckGGUdHWvBqo55pWxF4kkp6V0bWiN7gTlzPGYNvoB5BDVGNQhCpAVmyshkjjjqGyXhGRk0WQuLL3DHtdYEC+hBuqxPR0riM2jR4zjYf9oZkl1JVbWsMTYIGObGHcI5zyC+R9rAuy6AAXsAq9S3wsZa+Z+YZhbvW26d64JyPAY1vPbM7rKpE67go8PklIDW7+M6D/ALSK2lMT3MdvabXV9s3iRpKiCZ1nPc+I9/qGszDeDy/QtT3Q9kMSq8SqpYsPc5jpDle0xAOaLAOsXX1AUYjub8DzFC1P9HOLfB0nnReuuHud4r8HSedF66lnSmZdC1B2BxIb8Ol8+L1k07YfER7gk86P1lTNmbduNlr8bo6qofHJRh76bg4WxNid3sYaxocxzQRleHB178vVXu2NxAb6KTrj9ZNHZWub7kePKz1lUZk1yhE+FVzAXPinAGpN3H6Cq32Q/wB8d5x7VcUmCVkUjHljospDjK57Q1oB1Ljm3c3Gq3E5GPnmdGLMc97m8WhO+3FyoyRdusP9hkzO8d3WVzhHeMespCFDdCs55T1lGY8p60lCFO5jyoJXEIDt1xCEAIQhACELqA4hKFuQpQLeQ9YQg2hOgs8V3WOxLDovFf5w7EFkdClh8HGyTz29iW2Sm44pfPb6qE3eBBQrijpqad7YYxLHI+4Y5zmvYXW0a4AAi+64VQRbQ8WiBSs4tTssDNRV9FBI1lRUOp3tDnCPh4o8/CQNe4gA3c11ie+sedZZBCGjSDueYifcP+7TfeJxvc6xTiov96m+8WV4MeKOpHBjxR1KFs1n9HWK/kR9NTfeJcHc3xMnvqUMYLF8r54AyNvG95DyQ0C53HcouzOxE1c10rcscMVjLUvyhkTbFxcRcF2gOg5t17q124PsfJhdIMlEI6epDx4dYZGB4mnNhmN7gN3Ny7t1mRcasYx6nw9jGsoJHTSxMJkncPwTnAjMYmnXLqdTvsOk5d7S43cSTzqdh4DZGchOQ9DtD9KbkhyuLT+KS3qNl124PNuywcy8LT724t8jtR84K5SwDWR471nF4zuJvapWHRZy+L3xunymm4/ipzMMc97Y7BrGaAue1t+V514/oWlCzD1EsGfmJe4neXJ/aLCn087myxFhcGvAc2xs5oINivQNpe54ylMZ/lOjZdofeV7mHW/gtAcXN0Oui53QsMgqKinknxmBjnUlG6zo6iTP+D/tGua3wXG5HHrqucmjvBO77jy3gxyDqRwY5B1LU/zbovh2m9BVeouHZyj+Hab9nqvUWDqZfgxyDqRwY5B1LSu2fpPhunP+hVeokDZ+nJysxamc46NDo6iME8QL3Ms3pKpGzO8GOQdS61jeNoUitpHwyvhlblfGS1zeQj6Rx350wgs5kHE0LqEIAQhCAEIQgBCEIAQhCAEIQgBCEIASg7mSUIBTiOIWSUIQCo2FzmtG9xDR0k2U95p43Fhje8tJaX58lyNDYZToq9psQQdRqDzhTnVsTiXSU13HUlsrmAnjOWxsqYlY9BiUMRzwUxEgBDZHyl4YSLZg3KLnpVUrFtXTcdET+sPH/BONrqPjw9x/W5B/wQLHR+n5KpCu24jQ8eFuP67IP/rTjcUw7jwh5/X5fu1DXzp+SgXQFo24vhnHgz//AJCX7tafYfDsMxKSdv8AJzqYRNjAqDWyygTTPEUDMhYASXH91SzVGTpMVmijdRxSODX2M1iQHEbmutvA4ue6v8ai4fDMNqQLup+Gw2Q8zDwsH7j3dSz1FROjBEgs+5Dwd4cDYg/OvTtkoKR2HVkEzyC7LM1nxo2us5vPrYjkXpWnUUzxS1FucTy3IpeIx3c2T31rX+W1nfOCpNfABI4N3KZQwtMTXPyjgnPyZjZriQCATyA6rr9M4vU7mVcreBjy/jyAF3K1p3N6TvKqhKWuzDQhWtZEC4l07DckkjM658gUCSGIb5iehh/iVZQpG9OSGKqse8WJ0V33RtKmjZxxYfhsZ6RFf/koWEGlE7OGEj25m3aMrbi4uL8VwrHul4pBVV0ktOCG2jjANr2jY1nFu8HlXkmsnq05JYSMihCFg6mgg2cY2GGarroqb2Q0SxRGOWaR0Z3SObGO8abG196T/JNAPCxYObxtZSzhxHGG5tAecqZUVFFXRUrp6t9LNTwQ0jxwDp45WwjLG9hYQWHLvB493PDdhdBxYsT+pT+sgZBx7EBU1U04aWiQtDWk3IaxjWNueWzRfnVerl2HUXFiZP6pN6yadRUvFiF/1WUf8kM7kufJlWhT3UlPxVl/1eQfxSDTQ/lN/wDReP4q0Ny+JkNCkmGPin/23dq45rffr/5D2qDcR0Jwsb4/7pXC0eN8yFsQhdsOVcQoIQhACEIQAhCEAKSKM6Xcxt9bOcAepR2mxB5LFS5Yg9xeJWDMb2cSCL8W5DLYCgv/AH0PlkCWMM/9xT+WYdiQ3DnO8CSN5sTka+7jbkBGqhqkVvqWTcHJ91UnlqG9idbgJPu2i8tS3sVQhC0+S7bs2T7voPLVt7E63ZUn/EcO8tYzsWfQoaNI3ZA/CWGeWtZ2J1ux5+EsK/bmdiyyFC4NQdjD8KYX+3M9VXbsNkoMOpYo6iCSSuxBk4mp5OFjMdKwZRmAFyJHk25gsHRRBzwCvWMcwWCOlwVsNSyQwx1UmVtr3lIkc7Q6d8ctjr3vStwjukl4nPV1FCLa4G+6Dggiq3zNtlqrVIaCDbhNXfvZlQYdKWSM10JsRzO0P0/MrOsc6SKMuJOQujP1m/SVA4FfYhpUqZ8WWqpNsYbQEymPxS67juAB1cVHxaoGjW6NaMrRyDjJ5ytFiBja12Z+VzwwyDKXEkNHe6aDXUrMVHBEkl7z0NaPpK3DTxY057nbKqRRZFZyOhH4kh6XNH0BRZJo+KHre4/RZePWR74PwGKQd/mO6MF58m757KE91ySePVWVbIGxhoa1pk74gX8EeCDfl3qruvDM9OnnIIRdF1g6ghF0IAQhCAEIQgJzg2JkZ4MPdIC8l1yALkAADj016U0ake9R9R7VyKrc1uQhrmjUNe29id9uRBq//Sj8238VTFCTOPe2dR7VzhR4jeo9q7UsAcLaAhrrcl+JMqFSQsv+KFzNzBJQhaO3XEIQp1dDecJKEA60c7UCIeO35+xNIQlD4gHvjOs9iUKUe/R9buxMaLoLeQ9aEyTqSJkb2SumYRGQ/KzMXEjUAaC3SoEjruLreESbdJuuLiBLqCEIQ0CEIQAhCEB1rrG4Wo2eqXvnhaXacA/647VllpdkT/Wab4zKhnV338F27P8Aqx/dHm7X+lJ+D/g2lNFdsjOUZx0t/wCiV2ngyDhSOZg5XeN0BTqKHvweJtyTzWsVBxysi8AB+4CwygNbyce9fejByltR+bU2+4zmISmR5A1Fz5TxlQKqmc3UhW9NUwteCYj0l5+gBafaDbCldHEIsOpi5jQ0iVmceQNLbjp/867Q3Goxjg+ho8PH+zy+Uq62bwuIMdiVa3+qwOs2PcaucatgZytuLvO4AEctt5s/i0IhfU1MdHCY7PZSw0sLZJuYF+YtF7XO+1+ZeZ7X7Sy185kkIAZmZHEzSOJhPgsHKd5dvPUB8XXk7zg+po7XlOyXPtxI5xJw7DTflomHyXJTf89H/BuGfsMfaswuZhyrxvJ6U2ac7Zv+DsM/YY+1IO2D/g/Df2KPtWbuOVFwpRbNCdq3n3Bh/wCxx9qQ7adx9xUH7IztVFdF1TNIuHbQuPuSi8lKztTbsccfc1J5KdvaqtF1bJsXBYnF3H3PTeSBvakHEz7zB5IgoQF+MBBSybI8Eo1596i9GEn2YfEj8jAoyFC7UKe4kkk3J40lCENAhCEAIQhAClUcAddztwUVPtlcGEAd7qL25VvTpO2YndUiQaxg0DdPJ9CTPC1zc7Om306cqjyQFoDjaxspVGLRuJ3G58ll3jKU3tmvY5NKK3RICEIXlPQCEIQAhCEAIQhACEIQAr7ZIn2RS2/FmynokYWdV1RNaSQALk6ALVbG4AayrZAHFkVMW1NTUD8UMcCGg+MSMrRy3PEtQbUk0ctaKlBxfDPRsQdwLMoFzpceM7iHQFj6iN7nHvSXE3NhdaPanuiQUlQGR0sJe3vzdokcy/gguc6wdYA6DkWEx7b2Wqkc8BrcxJtm01+K230lfoNPt+npYlh+bv7Y9T4Oh2LUaUoZT69yr759CfLSZf7R4b8XwndQVbV4pHFpGO+8Y2c/yDc1UM2IOk8Ka3xRoPmUbO3xgvH2j+p7sQXn+Pc+npdia/zfkSqmtc8m5Njv1uT0lRknhB4w60cIOUda+XKbk7Z74xUVSRebH0Uc9ZGyVmcBs0ohvbhXRxue2LykBLdtlUXtlpmAfiCmgAb8UAtuLc6o4qjI5r2PyuaQ5rmus4EbiCNQVdHbWtO+paTymKnJPScmqyHG+hz+dlQfePJTweqknaWoPvPoIfVUyCvfW09YalrHCni4VlSI2McyQOaGxZmAAh9yLLNq2YUYvvRcHH5jxxegj9VNuxuXlj9DH6qq0JbL9OPBYHGJT736KPsSDikh8T0bOxQkKWXZHglnEX/F8xnYkmuf8XzG9ijIQbVwP+y3fF81vYueyXc3mjsTKELSHeHPN1Bc4U83UE2hBSF5zzdQXMyShBR264hCFBOwS20dq3fl500hVNp2iNWSYpxc59WjcCL25PmRU1WbQCw+lRkLf1ZVRn6auwQhC5mwQhCAEIQgBCEIAQhCAvtj6Jk1QI3PDC+zGyO1awk6uI6Lr1vGpYtnqEspHhz3nOX2aXTSO0aDvsxrQDYcXOdfCoZSwhzSQRxhP1eIyytjZJIXNhBaxp3NBJJt1/Qtxklk4amm54TpYvmvcvv6RcV/Lneig+7R/SJin5cfRU/3ayyFzo9Fs1H9ImKflx9FT/doPdCxT8tPoqf7tZdCULNKdv8AE/y0+ig+7STt3iR92H0UHqLOIVIaA7bYgfdZ9HD6iQdsa8+6z6OH1FRIQm1cFhiON1NQA2adz2g5gzvWtvylrQAT0qvQhAkl3AhCEKCEIQAhCEAIQhACEIQAhCEAIQhAf//Z)
Show all available databases:show dbs;
Select a particular database to access, e.g. mydb. This will create mydb if it does not already exist:
use mydb;
Show all collections in the database (be sure to select one first, see above):
show collections;
Show all functions that can be used with the database:
db.my db.help();
To check your currently selected database,use the command db
> db
mydb
db.dropDatabase() command is us
ed to drop a existing database.
db.dropDatabase()
insert collection
We add tworecords to our collection test as:
>db.test.insert({"key":"value1","key2":"Val2","key3":"val3"})
WriteResult({ "nInserted" : 1 })
> db.test.insert({"key":"value2","key2":"Val21","key3":"val31"})
WriteResult({ "nInserted" : 1 })
If we see them via find, they will look very ugly.
> db.test.find()
{ "_id" : ObjectId("5790c5cecae25b3d38c3c7ae"), "key" : "value1", "key2" : "Val2 ", "key3" : "val3" }
{ "_id" : ObjectId("5790c5d9cae25b3d38c3c7af"), "key" : "value2", "key2" : "Val2 1", "key3" : "val31" }
To work around this and make them readable, use the pretty() function.
> db.test.find().pretty()
{ "_id" : ObjectId("5790c5cecae25b3d38c3c7ae"),
"key" : "value1",
"key2" : "Val2",
"key3" : "val3" }
{ "_id" : ObjectId("5790c5d9cae25b3d38c3c7af"),
"key" : "value2",
"key2" : "Val21",
"key3" : "val31" }
CRUD Operation
Create
db.people.insert({name: 'Tom', age: 28}); Or db.people.save({name: 'Tom', age: 28});
Update
Update the entire object:
db.people.update({name: 'Tom'}, {age: 29, name: 'Tom'})
Delete
Deletes all documents matching the query parameter:
db.people.deleteMany({name: 'Tom'})
Read
Query for all the docs in the people collection that have a name field with a value of 'Tom': db.people.find({name: 'Tom'})
Comments
Post a Comment