Learn a little bit every day, progress a little, record a little, share a little, summarize a little.
First, the basic application
1. Common commands
Show DBS Display Database list
Use dbname into the dbname database, case sensitive, no this database does not matter
Show Collections displays a collection in the database, equivalent to a table
2. Create and add
Db.users.save ({"Name": "LECAF"}) created a collection named users and added a new {"Name": "LECAF"} data
Db.users.insert ({"Name": "Ghost", "Age": 10}) Inserts a new piece of data into the Users collection, and if there is no users this collection, MongoDB automatically creates
There is a slight difference between save () and insert (): If the new data primary key already exists, insert () will not do the operation and prompt the error, while save () changes the original content to new content.
Existing data: {_id:1, ' name ': ' N1 '}, _id is the primary key
Insert ({_id:1, "name": "N2"}) will prompt for an error
Save ({_id:1, "name": "N2"}) will change the N1 to N2, with the function of update.
3. Delete operation
Db.users.remove () Delete all data under the Users collection
Db.users.remove ({"Name": "LECAF"}) deletes data NAME=LECAF under the Users collection
Db.users.drop () or Db.runcommand ({"Drop", "users"}) Delete collection users
Db.runcommand ({"Dropdatabase": 1}) Delete the current database
4. Find
Db.users.find () Find all data in the Users collection
Db.users.findOne () to find the first data in the Users collection
5. Modifications
Db.users.update ({"Name": "LECAF"}, {"Age": 10}) modifies the NAME=LECAF data to age=10, the first parameter is the lookup condition, the second parameter is the modification, except the primary key, the other content is replaced by the contents of the second parameter , the primary key cannot be modified,
Second, advanced applications
1. Condition Lookup
Db.collection.find ({"Key": value}) find data for Key=value
Db.collection.find ({"key": {$gt: Value}}) key > value
Db.collection.find ({"key": {$lt: Value}}) key < value
Db.collection.find ({"key": {$gte: Value}}) key >= value
Db.collection.find ({"key": {$lte: Value}}) key <= value
Db.collection.find ({"key": {$gt: value1, $lt: value2}}) value1 < key <value2
Db.collection.find ({"key": {$ne: Value}}) key <> value
Db.collection.find ({"key": {$mod: [10, 1]}}) modulo operation, equal to key% 10 = = 1 i.e. key divided by 10 + 1
Db.collection.find ({"key": {$nin: [1, 2, 3]}) does not belong, the condition equals the value of key does not belong to either [1, 2, 3]
Db.collection.find ({"key": {$in: [1, 2, 3]}), the condition equals key equal to either [1, 2, 3]
Db.collection.find ({"key": {$size: 1}}) $size number, size, condition equal to the number of values of key is 1 (key must be an array, a value can not be counted as an array of 1)
Db.collection.find ({"key": {$exists: True|false}}) $exists field exists, true returns data with field key, FALSE returns data with no Word key
Db.collection.find ({"Key":/^val.*val$/i}) regular, like; "I" Ignores case, "M" supports multiple lines
Db.collection.find ({$or: [{a:1}, {b:2}]}) $or or (note: MongoDB 1.5.3 later versions are available), eligible a=1 or eligible b=2 data will be queried
Db.collection.find ({"Key": Value, $or: [{a:1}, {b:2}]}) meets the criteria Key=value and matches any of the other two criteria
Db.collection.find ({"Key.subkey": Value}) the values in the inline object match, note: "Key.subkey" must be quoted
Db.collection.find ({"key": {$not:/^val.*val$/i}}) This is an operator that is used in combination with other query conditions and is not used alone. The result set obtained by the above query condition plus $not can get the opposite set.
2. Sorting
Db.collection.find (). Sort ({"Key1":-1, "Key2": 1}) Here the 1 stands for ascending,-1 for descending
3. Other
Db.collection.find (). Limit (5) controls the number of returned results, and if the argument is 0, the limit () will not work if it is not constrained
Db.collection.find (). Skip (5) controls how much the returned result skips, and if the argument is 0, then skip () will not work, or skip 0
Db.collection.find (). Skip (5). Limit (5) can be used for paging, skipping 5 data and then fetching 5 data
Db.collection.find (). Count (True) count () returns the number of result set bars
Db.collection.find (). Skip (5). Limit (5). Count (True) to obtain the actual number of results returned when adding skip () and limit (), a parameter of true is required. Otherwise, the total number of results that match the query criteria is returned
Note: Follow-up is to summarize some actual project experience come out.
learning always requires a process, and accumulation also requires a process. Love program love life.
MongoDB Common Commands Summary