Mongodb数据 导入导出数据 导出工具mongoexport和导入工具mongoimport介绍
2015-09-11 17:48
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<span style="font-family: Arial, Helvetica, sans-serif;"><strong>导出数据</strong></span>
<pre name="code" class="html">/opt/mongo/bin/mongoexport -d ‘数据库的名字’ -c ‘表的名字’ -o ‘要导出的文件的名字’ --port 18650
<pre name="code" class="html">eg:<span style="font-family: Arial, Helvetica, sans-serif;">/opt/mongo/bin/mongoexport -d database -c collection -o data.dat --port 18650</span>
导入数据
<pre name="code" class="html">/opt/mongo/bin/mongoimport -d '数据库的名字' -c '表的名字' '要导出的文件的名字' <span style="font-family: Arial, Helvetica, sans-serif;">--port 18650</span>
<span style="font-family: Arial, Helvetica, sans-serif;"></span><pre name="code" class="html">eg:<span style="font-family: Arial, Helvetica, sans-serif;">/opt/mongo/bin/</span><span style="font-family: Arial, Helvetica, sans-serif;">mongoimport</span><span style="font-family: Arial, Helvetica, sans-serif;"> -d database -c collection -o data.dat --port 18650</span>
</pre><pre code_snippet_id="1762587" snippet_file_name="blog_20160714_7_4143540" name="code" class="html"><pre name="code" class="html">Mongodb中的mongoexport工具可以把一个collection导出成JSON格式或CSV格式的文件。可以通过参数指定导出的数据项,也可以根据指定的条件导出数据。
<strong>备份数据库 ./mongodump -d zy_base -o zy_base</strong>
<strong>恢复数据库 ./mongorestore -d zy_base --drop zy_base(如果存在zy_base这个数据库 先删除)</strong>
mongoexport具体用法如下所示:</p><pre name="code" class="html">[root@localhost mongodb]# ./bin/mongoexport --help Export MongoDB data to CSV, TSV or JSON files. options: --help produce help message -v [ --verbose ] be more verbose (include multiple times for more verbosity e.g. -vvvvv) --version print the program's version and exit -h [ --host ] arg mongo host to connect to ( <set name>/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 --journal enable journaling -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 -k [ --slaveOk ] arg (=1) use secondaries for export if available, default true
参数说明:
-h:指明数据库宿主机的IP
-u:指明数据库的用户名
-p:指明数据库的密码
-d:指明数据库的名字
-c:指明collection的名字
-f:指明要导出那些列
-o:指明到要导出的文件名
-q:指明导出数据的过滤条件
[root@localhost mongodb]# ./bin/mongoexport -d test -c students -o students.dat connected to: 127.0.0.1 exported 9 records
实例:test库中存在着一个students集合,集合中数据如下:
> db.students.find() { "_id" : ObjectId("5031143350f2481577ea81e5"), "classid" : 1, "age" : 20, "name" : "kobe" } { "_id" : ObjectId("5031144a50f2481577ea81e6"), "classid" : 1, "age" : 23, "name" : "nash" } { "_id" : ObjectId("5031145a50f2481577ea81e7"), "classid" : 2, "age" : 18, "name" : "james" } { "_id" : ObjectId("5031146a50f2481577ea81e8"), "classid" : 2, "age" : 19, "name" : "wade" } { "_id" : ObjectId("5031147450f2481577ea81e9"), "classid" : 2, "age" : 19, "name" : "bosh" } { "_id" : ObjectId("5031148650f2481577ea81ea"), "classid" : 2, "age" : 25, "name" : "allen" } { "_id" : ObjectId("5031149b50f2481577ea81eb"), "classid" : 1, "age" : 19, "name" : "howard" } { "_id" : ObjectId("503114a750f2481577ea81ec"), "classid" : 1, "age" : 22, "name" : "paul" } { "_id" : ObjectId("503114cd50f2481577ea81ed"), "classid" : 2, "age" : 24, "name" : "shane" }
由上可以看出文档中存在着3个字段:classid、age、name
1.直接导出数据到文件中
[root@localhost mongodb]# ./bin/mongoexport -d test -c students -o students.dat connected to: 127.0.0.1 exported 9 records命令执行完后使用ll命令查看,发现目录下生成了一个students.dat的文件
-rw-r--r-- 1 root root 869 Aug 21 00:05 students.dat
查看该文件信息,具体信息如下:
[root@localhost mongodb]# cat students.dat { "_id" : { "$oid" : "5031143350f2481577ea81e5" }, "classid" : 1, "age" : 20, "name" : "kobe" } { "_id" : { "$oid" : "5031144a50f2481577ea81e6" }, "classid" : 1, "age" : 23, "name" : "nash" } { "_id" : { "$oid" : "5031145a50f2481577ea81e7" }, "classid" : 2, "age" : 18, "name" : "james" } { "_id" : { "$oid" : "5031146a50f2481577ea81e8" }, "classid" : 2, "age" : 19, "name" : "wade" } { "_id" : { "$oid" : "5031147450f2481577ea81e9" }, "classid" : 2, "age" : 19, "name" : "bosh" } { "_id" : { "$oid" : "5031148650f2481577ea81ea" }, "classid" : 2, "age" : 25, "name" : "allen" } { "_id" : { "$oid" : "5031149b50f2481577ea81eb" }, "classid" : 1, "age" : 19, "name" : "howard" } { "_id" : { "$oid" : "503114a750f2481577ea81ec" }, "classid" : 1, "age" : 22, "name" : "paul" } { d517 "_id" : { "$oid" : "503114cd50f2481577ea81ed" }, "classid" : 2, "age" : 24, "name" : "shane" }
参数说明:
-d:指明使用的库,本例中为test
-c:指明要导出的集合,本例中为students
-o:指明要导出的文件名,本例中为students.dat
从上面的结果可以看出,我们在导出数据时没有显示指定导出样式 ,默认导出了JSON格式的数据。如果我们需要导出CSV格式的数据,则需要使用--csv参数,具体如下所示:
[root@localhost mongodb]# ./bin/mongoexport -d test -c students --csv -f classid,name,age -o students_csv.dat connected to: 127.0.0.1 exported 9 records [root@localhost mongodb]# cat students_csv.dat classid,name,age 1.0,"kobe",20.0 1.0,"nash",23.0 2.0,"james",18.0 2.0,"wade",19.0 2.0,"bosh",19.0 2.0,"allen",25.0 1.0,"howard",19.0 1.0,"paul",22.0 2.0,"shane",24.0 [root@localhost mongodb]#
参数说明:
-csv:指明要导出为csv格式
-f:指明需要导出classid、name、age这3列的数据
由上面结果可以看出,mongoexport成功地将数据根据csv格式导出到了students_csv.dat文件中。
二、导入工具mongoimport
Mongodb中的mongoimport工具可以把一个特定格式文件中的内容导入到指定的collection中。该工具可以导入JSON格式数据,也可以导入CSV格式数据。具体使用如下所示:
[root@localhost mongodb]# ./bin/mongoimport --help options: --help produce help message -v [ --verbose ] be more verbose (include multiple times for more verbosity e.g. -vvvvv) --version print the program's version and exit -h [ --host ] arg mongo host to connect to ( <set name>/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 --journal enable journaling -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.
参数说明:
-h:指明数据库宿主机的IP
-u:指明数据库的用户名
-p:指明数据库的密码
-d:指明数据库的名字
-c:指明collection的名字
-f:指明要导入那些列
示例:先删除students中的数据,并验证
> db.students.remove() > db.students.find() >
然后再导入上面导出的students.dat文件中的内容
[root@localhost mongodb]# ./bin/mongoimport -d test -c students students.dat connected to: 127.0.0.1 imported 9 objects [root@localhost mongodb]#
参数说明:
-d:指明数据库名,本例中为test
-c:指明collection名,本例中为students
students.dat:导入的文件名
查询students集合中的数据
> db.students.find() { "_id" : ObjectId("5031143350f2481577ea81e5"), "classid" : 1, "age" : 20, "name" : "kobe" } { "_id" : ObjectId("5031144a50f2481577ea81e6"), "classid" : 1, "age" : 23, "name" : "nash" } { "_id" : ObjectId("5031145a50f2481577ea81e7"), "classid" : 2, "age" : 18, "name" : "james" } { "_id" : ObjectId("5031146a50f2481577ea81e8"), "classid" : 2, "age" : 19, "name" : "wade" } { "_id" : ObjectId("5031147450f2481577ea81e9"), "classid" : 2, "age" : 19, "name" : "bosh" } { "_id" : ObjectId("5031148650f2481577ea81ea"), "classid" : 2, "age" : 25, "name" : "allen" } { "_id" : ObjectId("5031149b50f2481577ea81eb"), "classid" : 1, "age" : 19, "name" : "howard" } { "_id" : ObjectId("503114a750f2481577ea81ec"), "classid" : 1, "age" : 22, "name" : "paul" } { "_id" : ObjectId("503114cd50f2481577ea81ed"), "classid" : 2, "age" : 24, "name" : "shane" }
>
证明数据导入成功
上面演示的是导入JSON格式的文件中的内容,如果要导入CSV格式文件中的内容,则需要通过--type参数指定导入格式,具体如下所示:
先删除数据
> db.students.remove() > db.students.find() >再导入之前导出的students_csv.dat文件
[root@localhost mongodb]# ./bin/mongoimport -d test -c students --type csv --headerline --file students_csv.dat connected to: 127.0.0.1 imported 10 objects [root@localhost mongodb]#
参数说明:
-type:指明要导入的文件格式
-headerline:指明第一行是列名,不需要导入
-file:指明要导入的文件
查询students集合,验证导入是否成功:
> db.students.find() { "_id" : ObjectId("503266029355c632cd118ad8"), "classid" : 1, "name" : "kobe", "age" : 20 } { "_id" : ObjectId("503266029355c632cd118ad9"), "classid" : 1, "name" : "nash", "age" : 23 } { "_id" : ObjectId("503266029355c632cd118ada"), "classid" : 2, "name" : "james", "age" : 18 } { "_id" : ObjectId("503266029355c632cd118adb"), "classid" : 2, "name" : "wade", "age" : 19 } { "_id" : ObjectId("503266029355c632cd118adc"), "classid" : 2, "name" : "bosh", "age" : 19 } { "_id" : ObjectId("503266029355c632cd118add"), "classid" : 2, "name" : "allen", "age" : 25 } { "_id" : ObjectId("503266029355c632cd118ade"), "classid" : 1, "name" : "howard", "age" : 19 } { "_id" : ObjectId("503266029355c632cd118adf"), "classid" : 1, "name" : "paul", "age" : 22 } { "_id" : ObjectId("503266029355c632cd118ae0"), "classid" : 2, "name" : "shane", "age" : 24 } >说明已经导入成功
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