MongoDB数据表基本操作
查看全部数据表
switchedtodbChatRoom
>showcollections
Account
Chat
system.indexes
system.users
创建数据表
{ " ok ":1}
-- 说明
capped:true,表示该集合的结构不能被修改;
size:在建表之初就指定一定的空间大小,接下来的插入操作会不断地按顺序APPEND数据在这个预分配好空间的文件中,如果已经超出空间大小,则回到文件头覆盖原来的数据继续插入。这种结构保证了插入和查询的高效性,它不允许删除单个记录,更新的也有限制:不能超过原有记录的大小。这种表效率很高,它适用于一些暂时保存数据的场合,比如网站中登录用户的session信息,又比如一些程序的监控日志,都是属于过了一定的时间就可以被覆盖的数据。
修改数据表名
{ " ok ":1}
数据表帮助主题help
DBCollectionhelp
db.Account.find().help()-showDBCursorhelp
db.Account.count()
db.Account.dataSize()
db.Account.distinct(key)-eg.db.Account.distinct( ' x ')
db.Account.drop()dropthecollection
db.Account.dropIndex(name)
db.Account.dropIndexes()
db.Account.ensureIndex(keypattern[,options])-options isanobjectwiththesepossiblefields:name,unique,dropDups
db.Account.reIndex()
db.Account.find([query],[fields])-query isanoptionalqueryfilter.fields isoptionalsetoffieldsto return.
e.g.db.Account.find({x:77},{name:1,x:1})
db.Account.find(...).count()
db.Account.find(...).limit(n)
db.Account.find(...).skip(n)
db.Account.find(...).sort(...)
db.Account.findOne([query])
db.Account.findAndModify({update:...,remove:bool[,query:{},sort:{}, ' new ':false]})
db.Account.getDB()getDBobjectassociatedwithcollection
db.Account.getIndexes()
db.Account.group({key:...,initial:...,reduce:...[,cond:...]})
db.Account.mapReduce(mapFunction,reduceFunction,<optionalparams>)
db.Account.remove(query)
db.Account.renameCollection(newName,<dropTarget>)renamesthecollection.
db.Account.runCommand(name,<options>)runsadbcommandwiththegivennamewherethefirstparam isthecollectionname
db.Account.save(obj)
db.Account.stats()
db.Account.storageSize()-includesfreespaceallocatedtothiscollection
db.Account.totalIndexSize()-size inbytesofalltheindexes
db.Account.totalSize()-storageallocated foralldata andindexes
db.Account.update(query,object[,upsert_bool,multi_bool])
db.Account.validate()-SLOW
db.Account.getShardVersion()-only forusewithsharding
查看全部表记录
{ " _id ":ObjectId( " 4df08553188e444d001a763a "), " AccountID ":1, " UserName ": " libing ", " Password ": " 1 ", " Age ":26, " Email ": " libing@126.com ", " RegisterDate ": " 2011-06-0916:31:25 "}
{ " _id ":ObjectId( " 4df08586188e444d001a763b "), " AccountID ":2, " UserName ": " lb ", " Password ": " 1 ", " Age ":25, " Email ": " libing@163.com ", " RegisterDate ": " 2011-06-0916:36:95 "}
说明:
可以通过DBQuery.shellBatchSize设置每页显示数据的大小。如:DBQuery.shellBatchSize = 5,这样每页就显示5条记录了。
{ " _id ":ObjectId( " 4df6d55407444568af61cfea "), " TestID ":1}
{ " _id ":ObjectId( " 4df6d55907444568af61cfeb "), " TestID ":2}
{ " _id ":ObjectId( " 4df6d55b07444568af61cfec "), " TestID ":3}
{ " _id ":ObjectId( " 4df6d55e07444568af61cfed "), " TestID ":4}
{ " _id ":ObjectId( " 4df6d56207444568af61cfee "), " TestID ":5}
{ " _id ":ObjectId( " 4df6d56507444568af61cfef "), " TestID ":6}
{ " _id ":ObjectId( " 4df6d56807444568af61cff0 "), " TestID ":7}
{ " _id ":ObjectId( " 4df6d56b07444568af61cff1 "), " TestID ":8}
{ " _id ":ObjectId( " 4df6d56e07444568af61cff2 "), " TestID ":9}
{ " _id ":ObjectId( " 4df6d57a07444568af61cff3 "), " TestID ":10}
{ " _id ":ObjectId( " 4df6d57d07444568af61cff4 "), " TestID ":11}
{ " _id ":ObjectId( " 4df6d58007444568af61cff5 "), " TestID ":12}
{ " _id ":ObjectId( " 4df6d58307444568af61cff6 "), " TestID ":13}
{ " _id ":ObjectId( " 4df6d58e07444568af61cff7 "), " TestID ":14}
{ " _id ":ObjectId( " 4df6d59207444568af61cff8 "), " TestID ":15}
{ " _id ":ObjectId( " 4df6d59607444568af61cff9 "), " TestID ":16}
{ " _id ":ObjectId( " 4df6d59c07444568af61cffa "), " TestID ":17}
{ " _id ":ObjectId( " 4df6d5a307444568af61cffb "), " TestID ":18}
{ " _id ":ObjectId( " 4df6d5a607444568af61cffc "), " TestID ":19}
>DBQuery.shellBatchSize
20
>DBQuery.shellBatchSize=5
5
>db.Test.find()
{ " _id ":ObjectId( " 4df6d55407444568af61cfea "), " TestID ":1}
{ " _id ":ObjectId( " 4df6d55907444568af61cfeb "), " TestID ":2}
{ " _id ":ObjectId( " 4df6d55b07444568af61cfec "), " TestID ":3}
{ " _id ":ObjectId( " 4df6d55e07444568af61cfed "), " TestID ":4}
{ " _id ":ObjectId( " 4df6d56207444568af61cfee "), " TestID ":5}
hasmore
>it
{ " _id ":ObjectId( " 4df6d56507444568af61cfef "), " TestID ":6}
{ " _id ":ObjectId( " 4df6d56807444568af61cff0 "), " TestID ":7}
{ " _id ":ObjectId( " 4df6d56b07444568af61cff1 "), " TestID ":8}
{ " _id ":ObjectId( " 4df6d56e07444568af61cff2 "), " TestID ":9}
{ " _id ":ObjectId( " 4df6d57a07444568af61cff3 "), " TestID ":10}
hasmore
>it
{ " _id ":ObjectId( " 4df6d57d07444568af61cff4 "), " TestID ":11}
{ " _id ":ObjectId( " 4df6d58007444568af61cff5 "), " TestID ":12}
{ " _id ":ObjectId( " 4df6d58307444568af61cff6 "), " TestID ":13}
{ " _id ":ObjectId( " 4df6d58e07444568af61cff7 "), " TestID ":14}
{ " _id ":ObjectId( " 4df6d59207444568af61cff8 "), " TestID ":15}
hasmore
>it
{ " _id ":ObjectId( " 4df6d59607444568af61cff9 "), " TestID ":16}
{ " _id ":ObjectId( " 4df6d59c07444568af61cffa "), " TestID ":17}
{ " _id ":ObjectId( " 4df6d5a307444568af61cffb "), " TestID ":18}
{ " _id ":ObjectId( " 4df6d5a607444568af61cffc "), " TestID ":19}
>it
nocursor
查询一条记录
{
" _id ":ObjectId( " 4ded95c3b7780a774a099b7c "),
" UserName ": " libing ",
" Password ": " 1 ",
" Email ": " libing@126.cn ",
" RegisterDate ": " 2011-06-0711:06:25 "
}
--SELECT TOP 1 * FROM Account
查询聚集中字段的不同记录
--SELECT DISTINCT("UserName") FROM Account
查询聚集中UserName包含“keyword”关键字的记录
--SELECT * FROM Account WHERE UserName LIKE '%keyword%'
查询聚集中UserName以"keyword" 开头的记录
--SELECT * FROM Account WHERE UserName LIKE 'keyword%'
查询聚集中UserName以“keyword”结尾的记录
--SELECT * FROM Account WHERE UserName LIKE '%keyword'
查询聚集中指定列
--SELECT UserName,Email FROM Account
查询聚集中排除指定列
查询聚集中指定列,且Age > 20
--SELECT UserName,Email FROM Account WHERE Age > 20
聚集中字段排序
>db.Account.find().sort({ " UserName ":-1})--降序
--SELECT * FROM Account ORDER BY UserName ASC
--SELECT * FROM Account ORDER BY UserName DESC
统计聚集中记录条数
--SELECT COUNT(*) FROM Account
统计聚集中符合条件的记录条数
-- SELECT COUNT(*) FROM Account WHERE Age > 20
统计聚集中字段符合条件的记录条数
--SELECT COUNT(UserName) FROM Account
查询聚集中前5条记录
--SELECT TOP 5 * FROM Account
查询聚集中第10条以后的记录
--SELECT * FROM Account WHERE AccountID NOT IN (SELECT TOP 10 AccountID FROM Account)
查询聚集中第10条记录以后的5条记录
--SELECT TOP 5 * FROM Account WHERE AccountID NOT IN (SELECT TOP 10 AccountID FROM Account)
or查询
--SELECT UserName,Email FROM Account WHERE UserName LIKE '%keyword%' OR Email LIKE '%keyword%'
添加新记录
修改记录
>db.Account.find({ " AccountID ":1})
{ " AccountID ":1, " Age ":27, " Email ": " libingql@163.com ", " Password ": " 1 ", " RegisterDate ": " 2011-06-0916:31:25 ", " UserName ": " libing ", " _id ":ObjectId( " 4df08553188e444d001a763a ")}
>db.Account.find({ " AccountID ":1})
{ " AccountID ":1, " Age ":28, " Email ": " libingql@163.com ", " Password ": " 1 ", " RegisterDate ": " 2011-06-0916:31:25 ", " UserName ": " libing ", " _id ":ObjectId( " 4df08553188e444d001a763a ")}
删除记录
>db.Account.remove({ " Age ":{$lte:20}})--DELETEFROMAccountWHEREAge<=20
>db.Account.remove({ " Age ":{$gt:20}})--DELETEFROMAccountWHEREAge>20
>db.Account.remove({ " Age ":{$gte:20}})--DELETEFROMAccountWHEREAge>=20
>db.Account.remove({ " Age ":{$ne:20}})--DELETEFROMAccountWHEREAge!=20
>db.Account.remove({})--全部删除