The importance of database backup and data recovery, I think you know, here is an example of how to manipulate data backups, examples of data recovery:
Creating test data
Create Db:testdb,collection:user, insert 10 records
MONGO MongoDB Shell version:3.0.2 connecting to:test > Use TestDB switched to DB TestDB > Db.user.insert ({id:1,na
Me: "User 1"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:2,name: "User 2"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:3,name: "User 3"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:4,name: "User 4"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:5,name: "User 5"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:6,name: "User 6"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:7,name: "User 7"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:8,name: "User 8"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:9,name: "User 9"});
Writeresult ({"ninserted": 1}) > Db.user.insert ({id:10,name: "User 10"});
Writeresult ({"ninserted": 1}) > > Db.user.find ();
{"_id": ObjectId ("574d7aae8780832e6c4e27b4"), "id": 1, "name": "User 1"} {"_id": ObjectId ("574d7aaf8780832e6c4e27b5"), "id": 2, "name": "User 2" } {"_id": ObjectId ("574d7aaf8780832e6c4e27b6"), "id": 3, "name": "User 3"} {"_id": ObjectId ("574d7aaf8780832e6c4e27b7 ")," id ": 4," name ":" User 4 "} {" _id ": ObjectId (" 574d7aaf8780832e6c4e27b8 ")," id ": 5," name ":" User 5 "} {" _id ": Object ID ("574D7AAF8780832E6C4E27B9"), "id": 6, "name": "User 6"} {"_id": ObjectId ("574d7aaf8780832e6c4e27ba"), "id": 7, "name ": User 7} {" _id ": ObjectId (" 574D7AAF8780832E6C4E27BB ")," id ": 8," name ":" User 8 "} {" _id ": ObjectId (" 574d7aaf8780832
E6C4E27BC ")," id ": 9," name ":" User 9 "} {" _id ": ObjectId (" 574D7AB08780832E6C4E27BD ")," id ": Ten," Name ":" User 10 "}
Data export Mongoexport
Parameter description:
-D database name
-C Collection Name
File name of-O output
--type output format, default to JSON
-F Output field, if--type is CSV, you need to add-f "field name"
More parameter descriptions can refer to Mongoexport–help
Example: Export user all records to/tmp/user.json
mongoexport-d testdb-c user-o/tmp/user.json
2016-05-31t20:00:32.257+0800 connected
2016-05-31t20:00:32.286+0800 exported Records
Cat/tmp/user.json
{"_id": {"$oid": " 574d7aae8780832e6c4e27b4 "}," id ": 1," name ":" User 1 "}
{" _id ": {" $oid ":" 574d7aaf8780832e6c4e27b5 "}," id ": 2," name ":" User 2 "}
{" _id ": {" $oid ":" 574d7aaf8780832e6c4e27b6 "}," id ": 3," name ":" User 3 "}
{" _id ": {" $oid ":" 574d7aaf8780832e6c4e27b7 "}," id ": 4," name ":" User 4 "}
{" _id ": {" $oid ":" 574d7aaf8780832e6c4e27b8 "}," id ": 5," name ": "User 5"}
{"_id": {"$oid": "574d7aaf8780832e6c4e27b9"}, "id": 6, "name": "User 6"}
{"_id": {"$oid": " 574d7aaf8780832e6c4e27ba "}," id ": 7," name ":" User 7 "}
{" _id ": {" $oid ":" 574D7AAF8780832E6C4E27BB "}," id ": 8," name ": "User 8"}
{"_id": {"$oid": "574D7AAF8780832E6C4E27BC"}, "id": 9, "name": "User 9"}
{"_id": {"$oid": " 574D7AB08780832E6C4E27BD "}," id ": Ten," Name ":" User 10 "}
Example: Export user all IDs to/tmp/user.csv
The format is CSV but no fields can be faulted
mongoexport-d testdb-c user--type csv-o/tmp/user.csv 2016-05-31t20:01:05.393+0800 failed:csv mode requires a Field List
mongoexport-d testdb-c user--type csv-f "id"-o/tmp/user.csv con nected to:localhost
2016-05-31t20:01:46.534+0800 exported records
cat/tmp/user.csv
ID
1
2
3
4
5
6
7 8 9 10
Data import Mongoimport
Parameter description:
-D database name
-C Collection Name
--type imported format, default JSON
-F Imported Field names
--headerline if the imported format is CSV, you can use the header of the first row as the imported field
--file Files to import
More parameter descriptions can refer to Mongoimport–help
Empty collection user before importing
> Db.user.drop ();
True
> Db.user.find ();
>
Example: Import the User.json from the example above
mongoimport-d testdb-c user--file/tmp/user.json
2016-05-31t20:10:22.240+0800 connected To:localhost
2016-05-31t20:10:22.287+0800 Imported Documents
Example: Import the user.csv from the example above
mongoimport-d testdb-c user--type csv--headerline--file/tmp/user.csv
2016-05-31t20:11:28.975+0800 Connected to:localhost
2016-05-31t20:11:29.003+0800 Imported Documents
Data backup Mongodump
Parameter description:
-D database name
-C Collection Name
File path for-o backup
More parameter descriptions can refer to Mongodump–help
Example: Back up the TestDB user to/tmp
mongodump-d testdb-c user-o/tmp
2016-05-31t20:18:25.813+0800 writing Testdb.user to/tmp/testdb/user.bson< c3/>2016-05-31t20:18:25.818+0800 Writing Testdb.user metadata To/tmp/testdb/user.metadata.json
2016-05-31t20:18:25.849+0800 Done Dumping Testdb.user
Data Recovery Mongorestore
Parameter description:
-D database name
-C Collection Name
More parameter descriptions can refer to Mongorestore–help
Empty collection user before importing
> Db.user.drop ();
True
> Db.user.find ();
>
Example: Restore the data from the previous example backup
mongorestore-d testdb-c User/tmp/testdb/user.bson
2016-05-31t20:21:23.050+0800 checking for collection data In/tmp/testdb/user.bson
2016-05-31t20:21:23.084+0800 reading metadata file from/tmp/testdb/ User.metadata.json
2016-05-31t20:21:23.088+0800 restoring testdb.user from File/tmp/testdb/user.bson
2016-05-31t20:21:23.153+0800 restoring indexes for collection Testdb.user from metadata
2016-05-31t20 : 21:23.156+0800 finished restoring testdb.user
2016-05-31t20:21:23.156+0800 Done
Thank you for reading, I hope to help you, thank you for your support for this site!