ceph-对象存储
时间:2022-07-26
本文章向大家介绍ceph-对象存储,主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。
ceph对象存储
作为文件系统的磁盘,操作系统不能直接访问对象存储。相反,它只能通过应用程序级别的API访问。ceph是一种分布式对象存储系统,通过ceph对象网关提供对象存储接口,也称为RADOS网关(RGW)接口,它构建在ceph RADOS层之上。RGW使用librgw(RADOS Gateway library)和librados,允许应用程序与ceph对象存储建立连接。RGW为应用程序提供了一个RESTful S3/swift兼容的接口,用于在ceph集群中以对象的形式存储数据。ceph还支持多租户对象存储,可以通过RESTful API访问。此外,RGW还支持ceph管理API,可以使用本机API调用来管理ceph存储集群。
librados软件库非常灵活,允许用户应用程序通过C、C++、java、python和php绑定直接访问ceph存储集群。ceph对象存储还具有多站点功能,即灾难恢复提供解决方案。
部署对象存储
安装ceph-radosgw
[ceph-admin@ceph-node1 my-cluster]$ sudo yum install ceph-radosgw
部署rgw
[ceph-admin@ceph-node1 my-cluster]$ ceph-deploy rgw create ceph-node1 ceph-node2 ceph-node3
[ceph-admin@ceph-node1 my-cluster]$ sudo netstat -tnlp |grep 7480
tcp 0 0 0.0.0.0:7480 0.0.0.0:* LISTEN 15418/radosgw
如果要修改为80端口,可修改配置文件 重启
vim /etc/ceph/ceph.conf
[client.rgw.ceph-node1]
rgw_frontends = "civetweb port=80"
sudo systemctl restart ceph-radosgw@rgw.ceph-node1.service
创建池
[ceph-admin@ceph-node1 my-cluster]$ wget https://raw.githubusercontent.com/aishangwei/ceph-demo/master/ceph-deploy/rgw/pool
[ceph-admin@ceph-node1 my-cluster]$ wget https://raw.githubusercontent.com/aishangwei/ceph-demo/master/ceph-deploy/rgw/create_pool.sh
[ceph-admin@ceph-node1 my-cluster]$ cat create_pool.sh
#!/bin/bash
PG_NUM=30
PGP_NUM=30
SIZE=3
for i in `cat /home/ceph-admin/my-cluster/pool`
do
ceph osd pool create $i $PG_NUM
ceph osd pool set $i size $SIZE
done
for i in `cat /home/ceph-admin/my-cluster/pool`
do
ceph osd pool set $i pgp_num $PGP_NUM
done
[ceph-admin@ceph-node1 my-cluster]$ chmod +x create_pool.sh
[ceph-admin@ceph-node1 my-cluster]$ ./create_pool.sh
测试是否能访问ceph集群
[ceph-admin@ceph-node1 my-cluster]$ sudo ls -l /var/lib/ceph/
total 0
drwxr-x--- 2 ceph ceph 6 Jan 31 00:48 bootstrap-mds
drwxr-x--- 2 ceph ceph 26 Feb 14 13:30 bootstrap-mgr
drwxr-x--- 2 ceph ceph 26 Feb 14 13:21 bootstrap-osd
drwxr-x--- 2 ceph ceph 6 Jan 31 00:48 bootstrap-rbd
drwxr-x--- 2 ceph ceph 26 Feb 15 14:13 bootstrap-rgw
drwxr-x--- 2 ceph ceph 6 Jan 31 00:48 mds
drwxr-x--- 3 ceph ceph 29 Feb 14 13:30 mgr
drwxr-x--- 3 ceph ceph 29 Feb 14 12:01 mon
drwxr-x--- 5 ceph ceph 48 Feb 14 13:22 osd
drwxr-xr-x 3 root root 33 Feb 15 14:13 radosgw
[ceph-admin@ceph-node1 my-cluster]$ sudo cp /var/lib/ceph/radosgw/ceph-rgw.ceph-node1/keyring ./
[ceph-admin@ceph-node1 my-cluster]$ ceph -s -k keyring --name client.rgw.ceph-node1
cluster:
id: cde2c9f7-009e-4bb4-a206-95afa4c43495
health: HEALTH_OK
services:
mon: 3 daemons, quorum ceph-node1,ceph-node2,ceph-node3
mgr: ceph-node1(active), standbys: ceph-node2, ceph-node3
osd: 9 osds: 9 up, 9 in
rgw: 3 daemons active
data:
pools: 18 pools, 550 pgs
objects: 240 objects, 114MiB
usage: 9.45GiB used, 171GiB / 180GiB avail
pgs: 550 active+clean
io:
client: 0B/s rd, 0op/s rd, 0op/s wr
使用S3 API访问ceph对象存储
创建radosgw用户
[ceph-admin@ceph-node1 my-cluster]$ radosgw-admin user create --uid=radosgw --display-name="radosgw"
{
"user_id": "radosgw",
"display_name": "radosgw",
"email": "",
"suspended": 0,
"max_buckets": 1000,
"auid": 0,
"subusers": [],
"keys": [
{
"user": "radosgw",
"access_key": "DKOORDOMS6YHR2OW5M23",
"secret_key": "OOBNCO0d03oiBaLCtYePPQ7gIeUR2Y7UuB24pBW4"
}
],
"swift_keys": [],
"caps": [],
"op_mask": "read, write, delete",
"default_placement": "",
"placement_tags": [],
"bucket_quota": {
"enabled": false,
"check_on_raw": false,
"max_size": -1,
"max_size_kb": 0,
"max_objects": -1
},
"user_quota": {
"enabled": false,
"check_on_raw": false,
"max_size": -1,
"max_size_kb": 0,
"max_objects": -1
},
"temp_url_keys": [],
"type": "rgw"
}
安装s3cmd客户端
[root@localhost ~]# yum install -y s3cmd
[root@localhost ~]# 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: DKOORDOMS6YHR2OW5M23
Secret Key: OOBNCO0d03oiBaLCtYePPQ7gIeUR2Y7UuB24pBW4
Default Region [US]: ZH
Use "s3.amazonaws.com" for S3 Endpoint and not modify it to the target Amazon S3.
S3 Endpoint [s3.amazonaws.com]:
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]:
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: DKOORDOMS6YHR2OW5M23
Secret Key: OOBNCO0d03oiBaLCtYePPQ7gIeUR2Y7UuB24pBW4
Default Region: ZH
S3 Endpoint: s3.amazonaws.com
DNS-style bucket+hostname:port template for accessing a bucket: %(bucket)s.s3.amazonaws.com
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'
编辑s3配置文件
[root@localhost ~]# cat .s3cfg
[default]
access_key = DKOORDOMS6YHR2OW5M23
access_token =
add_encoding_exts =
add_headers =
bucket_location = US
ca_certs_file =
cache_file =
check_ssl_certificate = True
check_ssl_hostname = True
cloudfront_host = cloudfront.amazonaws.com
content_disposition =
content_type =
default_mime_type = binary/octet-stream
delay_updates = False
delete_after = False
delete_after_fetch = False
delete_removed = False
dry_run = False
enable_multipart = True
encrypt = False
expiry_date =
expiry_days =
expiry_prefix =
follow_symlinks = False
force = False
get_continue = False
gpg_command = /usr/bin/gpg
gpg_decrypt = %(gpg_command)s -d --verbose --no-use-agent --batch --yes --passphrase-fd %(passphrase_fd)s -o %(output_file)s %(input_file)s
gpg_encrypt = %(gpg_command)s -c --verbose --no-use-agent --batch --yes --passphrase-fd %(passphrase_fd)s -o %(output_file)s %(input_file)s
gpg_passphrase =
guess_mime_type = True
host_base = ceph-node1:7480
host_bucket = %(bucket).ceph-node1:7480
human_readable_sizes = False
invalidate_default_index_on_cf = False
invalidate_default_index_root_on_cf = True
invalidate_on_cf = False
kms_key =
limit = -1
limitrate = 0
list_md5 = False
log_target_prefix =
long_listing = False
max_delete = -1
mime_type =
multipart_chunk_size_mb = 15
multipart_max_chunks = 10000
preserve_attrs = True
progress_meter = True
proxy_host =
proxy_port = 0
put_continue = False
recursive = False
recv_chunk = 65536
reduced_redundancy = False
requester_pays = False
restore_days = 1
restore_priority = Standard
secret_key = OOBNCO0d03oiBaLCtYePPQ7gIeUR2Y7UuB24pBW4
send_chunk = 65536
server_side_encryption = False
signature_v2 = False
signurl_use_https = False
simpledb_host = sdb.amazonaws.com
skip_existing = False
socket_timeout = 300
stats = False
stop_on_error = False
storage_class =
throttle_max = 100
upload_id =
urlencoding_mode = normal
use_http_expect = False
use_https = False
use_mime_magic = True
verbosity = WARNING
website_endpoint = http://%(bucket)s.s3-website-%(location)s.amazonaws.com/
website_error =
website_index = index.html
创建桶并放入文件
[root@localhost ~]# s3cmd mb s3://first-bucket
Bucket 's3://first-bucket/' created
[root@localhost ~]# s3cmd ls
2019-02-15 07:45 s3://first-bucket
[root@localhost ~]# s3cmd put /etc/hosts s3://first-bucket
upload: '/etc/hosts' -> 's3://first-bucket/hosts' [1 of 1]
239 of 239 100% in 1s 175.80 B/s done
[root@localhost ~]# s3cmd ls s3://first-bucket
2019-02-15 07:47 239 s3://first-bucket/hosts
使用Swift API访问ceph对象存储
创建swift api子用户
[ceph-admin@ceph-node1 my-cluster]$ radosgw-admin subuser create --uid=radosgw --subuser=radosgw:swift --access=full
{
"user_id": "radosgw",
"display_name": "radosgw",
"email": "",
"suspended": 0,
"max_buckets": 1000,
"auid": 0,
"subusers": [
{
"id": "radosgw:swift",
"permissions": "full-control"
}
],
"keys": [
{
"user": "radosgw",
"access_key": "DKOORDOMS6YHR2OW5M23",
"secret_key": "OOBNCO0d03oiBaLCtYePPQ7gIeUR2Y7UuB24pBW4"
}
],
"swift_keys": [
{
"user": "radosgw:swift",
"secret_key": "bAL11KzCYE1GThPWY70tUo6dVIhvuIbSFEBP06yD"
}
],
"caps": [],
"op_mask": "read, write, delete",
"default_placement": "",
"placement_tags": [],
"bucket_quota": {
"enabled": false,
"check_on_raw": false,
"max_size": -1,
"max_size_kb": 0,
"max_objects": -1
},
"user_quota": {
"enabled": false,
"check_on_raw": false,
"max_size": -1,
"max_size_kb": 0,
"max_objects": -1
},
"temp_url_keys": [],
"type": "rgw"
}
安装swift api客户端
[root@localhost ~]# yum install python-pip -y
[root@localhost ~]# pip install --upgrade python-swiftclient
测试
[root@localhost ~]# swift -A http://ceph-node1:7480/auth/1.0 -U radosgw:swift -K bAL11KzCYE1GThPWY70tUo6dVIhvuIbSFEBP06yD list
first-bucket
[root@localhost ~]# swift -A http://ceph-node1:7480/auth/1.0 -U radosgw:swift -K bAL11KzCYE1GThPWY70tUo6dVIhvuIbSFEBP06yD list
[root@localhost ~]# swift -A http://ceph-node1:7480/auth/1.0 -U radosgw:swift -K bAL11KzCYE1GThPWY70tUo6dVIhvuIbSFEBP06yD post second-bucket
[root@localhost ~]# swift -A http://ceph-node1:7480/auth/1.0 -U radosgw:swift -K bAL11KzCYE1GThPWY70tUo6dVIhvuIbSFEBP06yD list
first-bucket
second-bucket
[root@localhost ~]# s3cmd ls
2019-02-15 07:45 s3://first-bucket
2019-02-15 08:18 s3://second-bucket
- JavaScript 教程
- JavaScript 编辑工具
- JavaScript 与HTML
- JavaScript 与Java
- JavaScript 数据结构
- JavaScript 基本数据类型
- JavaScript 特殊数据类型
- JavaScript 运算符
- JavaScript typeof 运算符
- JavaScript 表达式
- JavaScript 类型转换
- JavaScript 基本语法
- JavaScript 注释
- Javascript 基本处理流程
- Javascript 选择结构
- Javascript if 语句
- Javascript if 语句的嵌套
- Javascript switch 语句
- Javascript 循环结构
- Javascript 循环结构实例
- Javascript 跳转语句
- Javascript 控制语句总结
- Javascript 函数介绍
- Javascript 函数的定义
- Javascript 函数调用
- Javascript 几种特殊的函数
- JavaScript 内置函数简介
- Javascript eval() 函数
- Javascript isFinite() 函数
- Javascript isNaN() 函数
- parseInt() 与 parseFloat()
- escape() 与 unescape()
- Javascript 字符串介绍
- Javascript length属性
- javascript 字符串函数
- Javascript 日期对象简介
- Javascript 日期对象用途
- Date 对象属性和方法
- Javascript 数组是什么
- Javascript 创建数组
- Javascript 数组赋值与取值
- Javascript 数组属性和方法
- [周末往期回顾]使用Python将Oracle已使用过索引存入MySQL中
- [周末往期回顾]DB_CREATE_FILE_DEST,DB_CREATE_ONLINE_LOG_DEST_n
- 【DB宝18】在Docker中安装使用MySQL高可用之MGR
- [周末往期回顾]redis的介绍及安装
- [Oracle 日常管理]使用BBED定位数据位置
- [Oracle 日常管理]表的相关操作
- JsonPath实践(二)
- C# 使用OpenCV在一张图片里寻找人脸
- 【DB笔试面试858】在Oracle中,ipcs和ipcrm命令的作用有哪些?
- Qt音视频开发13-mpv录像存储
- Oracle参数解析(spfile)
- ROS2机器人笔记20-08-18
- C sharp实例:华盾武器门数据接收和解析
- JsonPath实践(三)
- 有序链表转换二叉搜索树