標籤:style os io 檔案 資料 for ar art
(mongoexport匯出工具
MongoDB提供了mongoexport工具,可以把一個collection匯出成json格式或csv格式的檔案。可以指定匯出哪些資料項目,也可以根據給定的條件匯出資料。工具協助資訊如下:
[[email protected] bin]# ./mongoexport --help options: --help produce help message -v [ --verbose ] be more verbose (include multiple times for more verbosity e.g. -vvvvv) -h [ --host ] arg mongo host to connect to ( /s1,s2 for sets) --port arg server port. Can also use --host hostname:port --ipv6 enable IPv6 support (disabled by default) -u [ --username ] arg username -p [ --password ] arg password --dbpath arg directly access mongod database files in the given path, instead of connecting to a mongod server - needs to lock the data directory, so cannot be used if a mongod is currently accessing the same path --directoryperdb if dbpath specified, each db is in a separate directory -d [ --db ] arg database to use -c [ --collection ] arg collection to use (some commands) -f [ --fields ] arg comma separated list of field names e.g. -f name,age --fieldFile arg file with fields names - 1 per line -q [ --query ] arg query filter, as a JSON string --csv export to csv instead of json -o [ --out ] arg output file; if not specified, stdout is used --jsonArray output to a json array rather than one object per line [[email protected] bin]#
下面我們將以一個實際的例子說明,此工具的用法:
將foo庫中的表t1匯出成json格式:
[[email protected] bin]# ./mongoexport -d foo -c t1 -o /data/t1.json connected to: 127.0.0.1 exported 1 records [[email protected] bin]#
匯出成功後我們看一下/data/t1.json檔案的樣式,是否是我們所希望的:
[[email protected] data]# more t1.json { "_id" : { "$oid" : "4f927e2385b7a6814a0540a0" }, "age" : 2 } [[email protected] data]#
通過以上說明匯出成功,但有一個問題,要是異構資料庫的遷移怎麼辦呢?例如我們要將MongoDB的資料匯入到MySQL該怎麼辦呢?MongoDB提供了一種csv的匯出格式,就可以解決異構資料庫遷移的問題了. 下面將foo庫的t2表的age和name列匯出, 具體如下:
[[email protected] bin]# ./mongoexport -d foo -c t2 --csv -f age,name -o /data/t2.csv connected to: 127.0.0.1 exported 1 records [[email protected] bin]#
查看/data/t2.csv的匯出結果:
[[email protected] data]# more t2.csv age,name 1,"wwl" [[email protected] data]#
mongoimport匯入工具
MongoDB提供了mongoimport工具,可以把一個特定格式檔案中的內容匯入到某張collection中。工具協助資訊如下:
[[email protected] bin]# ./mongoimport --help options: --help produce help message -v [ --verbose ] be more verbose (include multiple times for more verbosity e.g. -vvvvv) -h [ --host ] arg mongo host to connect to ( /s1,s2 for sets) --port arg server port. Can also use --host hostname:port --ipv6 enable IPv6 support (disabled by default) -u [ --username ] arg username -p [ --password ] arg password --dbpath arg directly access mongod database files in the given path, instead of connecting to a mongod server - needs to lock the data directory, so cannot be used if a mongod is currently accessing the same path --directoryperdb if dbpath specified, each db is in a separate directory -d [ --db ] arg database to use -c [ --collection ] arg collection to use (some commands) -f [ --fields ] arg comma separated list of field names e.g. -f name,age --fieldFile arg file with fields names - 1 per line --ignoreBlanks if given, empty fields in csv and tsv will be ignored --type arg type of file to import. default: json (json,csv,tsv) --file arg file to import from; if not specified stdin is used --drop drop collection first --headerline CSV,TSV only - use first line as headers --upsert insert or update objects that already exist --upsertFields arg comma-separated fields for the query part of the upsert. You should make sure this is indexed --stopOnError stop importing at first error rather than continuing --jsonArray load a json array, not one item per line. Currently limited to 4MB.
下面我們將以一人實際的例子說明,此工具的用法:
先看一下foo庫中的t1表資料:
> db.t1.find(); { "_id" : ObjectId("4f937a56450beadc560feaa9"), "age" : 5 } >
t1其中有一條age=5的記錄, 我們再看一下json檔案中的資料是什麼樣子的:
[[email protected] data]# more t1.json { "_id" : { "$oid" : "4f937a56450beadc560feaa7" }, "age" : 8 } [[email protected] data]#
可以看到t1.json檔案中有一條age=8的資料,下面我們將用mongoimport工具將json檔案中的記錄匯入到t1表中:
[[email protected] bin]# ./mongoimport -d foo -c t1 /data/t1.json connected to: 127.0.0.1 imported 1 objects
工具返回資訊說明向表中插入了一條記錄. 我們進庫裡實際驗證一下:
[[email protected] bin]# ./mongo MongoDB shell version: 1.8.1 connecting to: test > use foo switched to db foo > db.t1.find(); { "_id" : ObjectId("4f937a56450beadc560feaa9"), "age" : 5 } { "_id" : ObjectId("4f937a56450beadc560feaa7"), "age" : 8 } >