mongoDB 數據庫導出與導入

導出數據

mongodump -h IP --port 端口 -u 用戶名 -p 密碼 -d 數據庫 -o 文件存在路徑

若是沒有用戶和密碼，能夠去掉-u和-p。
若是導出本機的數據庫，能夠去掉-h。
若是是默認端口，能夠去掉--port。
若是想導出全部數據庫，能夠去掉-d

$>mongodump -h 192.168.164.202 --port 27017 -u dbs -p Abc12345 -d paperfareTable -o  /

導出時的提示

connected to: 192.168.164.222:27017

2016-01-13T15:56:32.638+0800 DATABASE: paperfare to /paperfare

2016-01-13T15:56:32.660+0800 paperfare.system.indexes to /paperfare/system.indexes.bson

2016-01-13T15:56:32.662+0800 8 documents

2016-01-13T15:56:32.662+0800 paperfare.paperfareAutoIncTable to /paperfare/paperfareAutoIncTable.bson

2016-01-13T15:56:32.663+0800 25 documents

2016-01-13T15:56:32.663+0800 Metadata for paperfare.paperfareAutoIncTable to /paperfare/paperfareAutoIncTable.metadata.json

2016-01-13T15:56:32.663+0800 paperfare.paperfareTable to /paperfare/paperfareTable.bson

2016-01-13T15:56:32.672+0800 118 documents

2016-01-13T15:56:32.672+0800 Metadata for paperfare.paperfareTable to /paperfare/paperfareTable.metadata.json

2016-01-13T15:56:32.672+0800 paperfare.paperfareVersionTable to /paperfare/paperfareVersionTable.bson

2016-01-13T15:56:32.685+0800 1 documents

2016-01-13T15:56:32.685+0800 Metadata for paperfare.paperfareVersionTable to /paperfare/paperfareVersionTable.metadata.json

從遠程192.168.164.202 機子中導到系統根目錄下，跟目錄下會自動生成paperfare文件價,數據的備份是bson,json結尾的數據格式，

導入：

mongoimport -h IP --port 端口 -u 用戶名 -p 密碼 -d 數據庫 -c 表名 --upsert  --drop 文件名 

$>mongorestore -h 127.0.0.1 --port 27017  -p Abc12345 -d paperfare  /paperfare

一下是打出的提示：

connected to: 127.0.0.1:27017

2016-01-13T16:04:53.131+0800 /paperfare/paperfareAutoIncTable.bson

2016-01-13T16:04:53.131+0800 going into namespace [paperfare.paperfareAutoIncTable]

25 objects found

2016-01-13T16:04:53.132+0800 Creating index: { key: { _id: 1 }, name: "_id_", ns: "paperfare.paperfareAutoIncTable" }

2016-01-13T16:04:53.334+0800 /paperfare/paperfareTable.bson

2016-01-13T16:04:53.334+0800 going into namespace [paperfare.paperfareTable]

118 objects found

2016-01-13T16:04:53.336+0800 Creating index: { key: { _id: 1 }, name: "_id_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.341+0800 Creating index: { key: { paperfareDeparturePointList: 1 }, name: "paperfareDeparturePointList_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.343+0800 Creating index: { key: { paperfareDestinationPointList: 1 }, name: "paperfareDestinationPointList_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.345+0800 Creating index: { key: { paperfareDepartureDate: 1 }, name: "paperfareDepartureDate_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.347+0800 Creating index: { key: { id: 1 }, name: "id_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.348+0800 Creating index: { key: { seqNo: 1 }, name: "seqNo_", ns: "paperfare.paperfareTable" }

2016-01-13T16:04:53.350+0800 /paperfare/paperfareVersionTable.bson

2016-01-13T16:04:53.350+0800 going into namespace [paperfare.paperfareVersionTable]

1 objects found

2016-01-13T16:04:53.350+0800 Creating index: { key: { _id: 1 }, name: "_id_", ns: "paperfare.paperfareVersionTable" }

我是把數據導入到本地的數據庫中，結束後數據庫中能夠直接找的該db。