1. 介紹
三種驗證客戶端的方式選一種就行了
2. 安裝
2.1 創建對象存儲網關系統
步驟1：安裝文檔安裝ceph
步驟2：初始化緩存網關
[root@node1 my-cluster]# ceph-deploy rgw create node1
[ceph_deploy.conf][DEBUG ] found configuration file at: /root/.cephdeploy.conf [ceph_deploy.cli][INFO ] Invoked (1.5.38): /usr/bin/ceph-deploy rgw create node1 [ceph_deploy.cli][INFO ] ceph-deploy options: [ceph_deploy.cli][INFO ] username : None [ceph_deploy.cli][INFO ] verbose : False [ceph_deploy.cli][INFO ] rgw : [('node1', 'rgw.node1')] [ceph_deploy.cli][INFO ] overwrite_conf : False [ceph_deploy.cli][INFO ] subcommand : create [ceph_deploy.cli][INFO ] quiet : False [ceph_deploy.cli][INFO ] cd_conf : <ceph_deploy.conf.cephdeploy.Conf instance at 0xe233f8> [ceph_deploy.cli][INFO ] cluster : ceph [ceph_deploy.cli][INFO ] func : <function rgw at 0xd67758> [ceph_deploy.cli][INFO ] ceph_conf : None [ceph_deploy.cli][INFO ] default_release : False [ceph_deploy.rgw][DEBUG ] Deploying rgw, cluster ceph hosts node1:rgw.node1 [node1][DEBUG ] connected to host: node1 [node1][DEBUG ] detect platform information from remote host [node1][DEBUG ] detect machine type [ceph_deploy.rgw][INFO ] Distro info: CentOS Linux 7.3.1611 Core [ceph_deploy.rgw][DEBUG ] remote host will use systemd [ceph_deploy.rgw][DEBUG ] deploying rgw bootstrap to node1 [node1][DEBUG ] write cluster configuration to /etc/ceph/{cluster}.conf [node1][DEBUG ] create path recursively if it doesn't exist [node1][INFO ] Running command: ceph --cluster ceph --name client.bootstrap-rgw --keyring /var/lib/ceph/bootstrap-rgw/ceph.keyring auth get-or-create client.rgw.node1 osd allow rwx mon allow rw -o /var/lib/ceph/radosgw/ceph-rgw.node1/keyring [node1][INFO ] Running command: systemctl enable ceph-radosgw@rgw.node1 [node1][INFO ] Running command: systemctl start ceph-radosgw@rgw.node1 [node1][INFO ] Running command: systemctl enable ceph.target [ceph_deploy.rgw][INFO ] The Ceph Object Gateway (RGW) is now running on host node1 and default port 7480
步驟3：驗證是否安裝成功並啟動：
[root@node1 my-cluster]# lsof -i:7480
COMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME
radosgw 1075 ceph 27u IPv4 21579 0t0 TCP *:7480 (LISTEN)
2.2 初始化
創建一個用戶
[root@node1 my-cluster]# sudo radosgw-admin user create --secret="123456" --uid="zhangsan" --display-name="zhangsan"
{ "user_id": "zhangsan", "display_name": "dongwang", "email": "", "suspended": 0, "max_buckets": 1000, "auid": 0, "subusers": [], "keys": [ { "user": "zhangsan", "access_key": "X26CBB6ZDSMHZEBRCYCI", "secret_key": "123456" } ], "swift_keys": [], "caps": [], "op_mask": "read, write, delete", "default_placement": "", "placement_tags": [], "bucket_quota": { "enabled": false, "max_size_kb": -1, "max_objects": -1 }, "user_quota": { "enabled": false, "max_size_kb": -1, "max_objects": -1 }, "temp_url_keys": [] }
3. 客戶端對接
3.1 S3cmd客戶端
步驟1：安裝s3cmd
[root@node1 ~]# yum -y install s3cmd
步驟2：配置s3cmd
[root@node1 ~]# s3cmd --configure
Enter new values or accept defaults in brackets with Enter. Refer to user manual for detailed description of all options. Access key and Secret key are your identifiers for Amazon S3. Leave them empty for using the env variables. Access Key: X26CBB6ZDSMHZEBRCYCI Secret Key: 123456 Default Region [US]: Use "s3.amazonaws.com" for S3 Endpoint and not modify it to the target Amazon S3. S3 Endpoint [s3.amazonaws.com]: node1:7480 Use "%(bucket)s.s3.amazonaws.com" to the target Amazon S3. "%(bucket)s" and "%(location)s" vars can be used if the target S3 system supports dns based buckets. DNS-style bucket+hostname:port template for accessing a bucket [%(bucket)s.s3.amazonaws.com]: buket Encryption password is used to protect your files from reading by unauthorized persons while in transfer to S3 Encryption password: Path to GPG program [/usr/bin/gpg]: When using secure HTTPS protocol all communication with Amazon S3 servers is protected from 3rd party eavesdropping. This method is slower than plain HTTP, and can only be proxied with Python 2.7 or newer Use HTTPS protocol [Yes]: No On some networks all internet access must go through a HTTP proxy. Try setting it here if you can't connect to S3 directly HTTP Proxy server name: New settings: Access Key: X26CBB6ZDSMHZEBRCYCI Secret Key: 123456 Default Region: US S3 Endpoint: node1:7480 DNS-style bucket+hostname:port template for accessing a bucket: buket Encryption password: Path to GPG program: /usr/bin/gpg Use HTTPS protocol: False HTTP Proxy server name: HTTP Proxy server port: 0 Test access with supplied credentials? [Y/n] n Save settings? [y/N] y Configuration saved to '/root/.s3cfg' [root@node1 ~]#
如果配置有誤，修改/root/.s3cfg文件。
步驟3：增刪改查：
[root@node1 my-cluster]# s3cmd mb s3://first_bucket Bucket 's3://first_bucket/' created [root@node1 my-cluster]# s3cmd -v ls 2018-10-19 03:47 s3://first_bucket [root@node1 my-cluster]# echo "aaaaa" > file.txt [root@node1 my-cluster]# s3cmd put file.txt s3://first_bucket upload: 'file.txt' -> 's3://first_bucket/file.txt' [1 of 1] 6 of 6 100% in 1s 3.68 B/s done [root@node1 my-cluster]# s3cmd rb s3://first_bucket --force --recursive WARNING: Bucket is not empty. Removing all the objects from it first. This may take some time... delete: 's3://first_bucket/file.txt' Bucket 's3://first_bucket/' removed
3.2 python客戶端
安裝客戶端程序：
[root@node1 s3]# sudo yum -y install python-boto
寫python實例：
#-- coding: utf-8 -- import boto import boto.s3.connection access_key = 'X26CBB6ZDSMHZEBRCYCI' secret_key = '123456' conn = boto.connect_s3( aws_access_key_id = access_key, aws_secret_access_key = secret_key, host = 'node1',port=7480, is_secure=False, calling_format = boto.s3.connection.OrdinaryCallingFormat() ) bucket = conn.create_bucket('my-new-bucket') for bucket in conn.get_all_buckets(): print "{name}\t{created}".format( name = bucket.name, created = bucket.creation_date, )
運行查看結果
[root@node1 s3]# python s3client.py
my-new-bucket 2018-10-19T06:23:18.313Z
從其他客戶端查看結果
[root@node1 my-cluster]# s3cmd -v ls
2018-10-19 06:23 s3://my-new-bucket
3.3 Windows客戶端
下載客戶端：https://s3browser.com/download/s3browser-7-7-7.exe
點擊Add new account之后，就可以看到剛才python客戶端建的buket了，使用客戶端可以上傳和下載文件了。
