导出csv格式：默认为json格式
1，导出csv格式数据，需要同时指定：--type=csv --fields column_a,column_b,column_c
mongoexport --authenticationDatabase admin -hzzz --port=28000 -uxxx -pyyy -d apple -c users --type=csv --fields _id,username,domain,name,display_name,department_name -o users.csv
2，导出csv格式数据，需要同时指定：--type=csv --fieldFile
[work@hostname tmp]$ cat fields.txt _id username domain [work@hostname tmp]$ $ mongoexport --authenticationDatabase admin -hzzz --port=28000 -uxxx -pyyy -d apple -c users --type=csv --fieldFile fields.txt -o users.csv ##################### 这里就会按照_id,username,domain三个字段来导出： _id,username,domain ObjectId(5db805516e1c8355a15fe80a),glc,google.com ObjectId(5db805516e1c8355a15fe80b),wjl,apple.com ObjectId(5db805516e1c8355a15fe80c),zd,airbnb.com ObjectId(5db805516e1c8355a15fe80d),lt,amazon.com
3，导出csv格式数据文件可以不要列名称 ，加上 --noHeaderLine就能让导出得文件不包含： _id,username,domain ，常用：
[work@hostname tmp]$ cat fields.txt _id username domain [work@hostname tmp]$ $ mongoexport --authenticationDatabase admin -hzzz --port=28000 -uxxx -pyyy -d apple -c users --type=csv --fieldFile fields.txt --noHeaderLine -o users.csv ##################### 这里就会按照_id,username,domain三个字段来导出： ObjectId(5db805516e1c8355a15fe80a),glc,google.com ObjectId(5db805516e1c8355a15fe80b),wjl,apple.com ObjectId(5db805516e1c8355a15fe80c),zd,airbnb.com ObjectId(5db805516e1c8355a15fe80d),lt,amazon.com
按照指定条件导出数据：--query '{}'
将名称为“glc”的全部导出：
[work@hostname tmp]$mongoexport --authenticationDatabase admin -hxxx --port=28000 -uyyy -pzzz -d apple -c users --type=csv --fieldFile fields.txt --query '{"username":"glc"}' -o users.csv.glc 2020-10-30T16:57:00.563+0800 connected to: xxx:28000 2020-10-30T16:57:00.743+0800 exported 10 records [work@hostanme tmp]$ less cas_users.csv.glc _id,username,domain ObjectId(7db805916e5c8355a35fe80a),glc,apple.com ObjectId(7e05a1456e5c836c0c0a1240),glc,apple.com ObjectId(7e05a3f66e5c836c0c0ac235),glc,apple.cn ObjectId(7e05a53a6e5c836c0c0b19c4),glc,google.cn ObjectId(7e05a5ee6e5c836c0c0b5d2d),glc,google.cn ObjectId(7e05a77d6e5c836c0c0b8fb8),glc,google.cn ObjectId(7e3920b6d3dbdb333aa04844),glc,google.cn ObjectId(7e4e625ed3dbdb333aa04f7e),glc,amazon.com ObjectId(7e96c569e566e174015b7fae),glc,amazon.com ObjectId(7f4c80abd3dbdb3d702f7a00),glc,apple.com [work@hostname tmp]$
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mongoexport导出某个集合：
/home/work/mongodb/4.0/bin/mongoexport --authenticationDatabase admin --host 10.10.10.10 --port 28000 --username mongo_backup --password 123456 --db db_name --collection table_name --out /home/work/tmp/table_name
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。
mongoexport --host hostname --port 28000 --username user --authenticationDatabase admin --collection table_name --db db_name --out table_name.json
mongoexport --uri 'mongodb://user:password@hostname:28000/db_name?authsource=admin' --collection table_name --out table_name.json
mongoexport --db db_name --collection table_name --query '{"dept": "ABC", date: { $gte: { "$date": "2018-01-01T00:00:00.000Z" } }}'
uri规则：
--uri "mongodb://[username:password@]host1[:port1][,host2[:port2],...[,hostN[:portN]]][/[database][?options]]"
[work@hostname tmp]$ mongoimport --help
Usage:
mongoimport <options> <file>
Import CSV, TSV or JSON data into MongoDB. If no file is provided, mongoimport reads from stdin.
See http://docs.mongodb.org/manual/reference/program/mongoimport/ for more information.
general options:
--help print usage
--version print the tool version and exit
verbosity options:
-v, --verbose=<level> more detailed log output (include multiple times for more verbosity, e.g. -vvvvv, or specify a
numeric value, e.g. --verbose=N)
--quiet hide all log output
connection options:
-h, --host=<hostname> mongodb host to connect to (setname/host1,host2 for replica sets)
--port=<port> server port (can also use --host hostname:port)
kerberos options:
--gssapiServiceName=<service-name> service name to use when authenticating using GSSAPI/Kerberos ('mongodb' by default)
--gssapiHostName=<host-name> hostname to use when authenticating using GSSAPI/Kerberos (remote server's address by default)
ssl options:
--ssl connect to a mongod or mongos that has ssl enabled
--sslCAFile=<filename> the .pem file containing the root certificate chain from the certificate authority
--sslPEMKeyFile=<filename> the .pem file containing the certificate and key
--sslPEMKeyPassword=<password> the password to decrypt the sslPEMKeyFile, if necessary
--sslCRLFile=<filename> the .pem file containing the certificate revocation list
--sslAllowInvalidCertificates bypass the validation for server certificates
--sslAllowInvalidHostnames bypass the validation for server name
--sslFIPSMode use FIPS mode of the installed openssl library
authentication options:
-u, --username=<username> username for authentication
-p, --password=<password> password for authentication
--authenticationDatabase=<database-name> database that holds the user's credentials
--authenticationMechanism=<mechanism> authentication mechanism to use
namespace options:
-d, --db=<database-name> database to use
-c, --collection=<collection-name> collection to use
uri options:
--uri=mongodb-uri mongodb uri connection string
input options:
-f, --fields=<field>[,<field>]* comma separated list of fields, e.g. -f name,age
--fieldFile=<filename> file with field names - 1 per line
--file=<filename> file to import from; if not specified, stdin is used
--headerline use first line in input source as the field list (CSV and TSV only)
--jsonArray treat input source as a JSON array
--parseGrace=<grace> controls behavior when type coercion fails - one of: autoCast, skipField, skipRow, stop
(defaults to 'stop') (default: stop)
--type=<type> input format to import: json, csv, or tsv (defaults to 'json') (default: json)
--columnsHaveTypes indicated that the field list (from --fields, --fieldsFile, or --headerline) specifies types;
They must be in the form of '<colName>.<type>(<arg>)'. The type can be one of: auto, binary,
bool, date, date_go, date_ms, date_oracle, double, int32, int64, string. For each of the date
types, the argument is a datetime layout string. For the binary type, the argument can be one
of: base32, base64, hex. All other types take an empty argument. Only valid for CSV and TSV
imports. e.g. zipcode.string(), thumbnail.binary(base64)
ingest options:
--drop drop collection before inserting documents
--ignoreBlanks ignore fields with empty values in CSV and TSV
--maintainInsertionOrder insert documents in the order of their appearance in the input source
-j, --numInsertionWorkers=<number> number of insert operations to run concurrently (defaults to 1) (default: 1)
--stopOnError stop importing at first insert/upsert error
--mode=[insert|upsert|merge] insert: insert only. upsert: insert or replace existing documents. merge: insert or modify
existing documents. defaults to insert
--upsertFields=<field>[,<field>]* comma-separated fields for the query part when --mode is set to upsert or merge
--writeConcern=<write-concern-specifier> write concern options e.g. --writeConcern majority, --writeConcern '{w: 3, wtimeout: 500, fsync:
true, j: true}'
--bypassDocumentValidation bypass document validation
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