内容简介:预备工具包:1.libfastcommon-1.0.38.tar.gz2.fastdfs-5.11.tar.gz
准备
预备 工具 包:
1.libfastcommon-1.0.38.tar.gz
2.fastdfs-5.11.tar.gz
3.fastdfs-nginx-module-1.20.tar.gz
4.libevent-2.1.8-stable.tar.gz
libfastcommon-1.0.38.tar.gz安装 $ tar xzvf libfastcommon-1.0.38.tar.gz $ cd libfastcommon-1.0.38 $ ./make.sh $ sudo ./make.sh install fastdfs-5.11.tar.gz 安装 $ tar xzvf fastdfs-5.11.tar.gz $ cd fastdfs-5.11 $ ./make.sh $ sudo ./make.sh install
安装完成测试:
root@iZbp1anc6yju2dks3nw5j0Z:~/yunpan/lib/fastdfs/fastdfs-5.11# fdfs_test This is FastDFS client test program v5.11 Copyright (C) 2008, Happy Fish / YuQing FastDFS may be copied only under the terms of the GNU General Public License V3, which may be found in the FastDFS source kit. Please visit the FastDFS Home Page http://www.csource.org/ for more detail. Usage: fdfs_test <config_file> <operation> operation: upload, download, getmeta, setmeta, delete and query_servers
配置tracker:
先建立fastdfs存储目录如下:
修改etc/fdfs 配置文件:
root@iZbp1anc6yju2dks3nw5j0Z:/etc/fdfs# ls client.conf storage.conf storage_ids.conf tracker.conf client.conf.sample storage.conf.sample storage_ids.conf.sample tracker.conf.sample
配置完成后启动tracker:
root@iZbp1anc6yju2dks3nw5j0Z:/home/fastdfs/tracker# /etc/init.d/fdfs_trackerd start Starting FastDFS tracker server:
配置完成:
root@iZbp1anc6yju2dks3nw5j0Z:~# fdfs_monitor /etc/fdfs/client.conf [2019-06-05 16:41:30] DEBUG - base_path=/home/fastdfs/client, connect_timeout=30, network_timeout=60, tracker_server_count=1, anti_steal_token=0, anti_steal_secret_key length=0, use_connection_pool=0, g_connection_pool_max_idle_time=3600s, use_storage_id=0, storage server id count: 0 server_count=1, server_index=0 tracker server is 172.17.9.217:22122 group count: 1 Group 1: group name = group1 disk total space = 40187 MB disk free space = 28282 MB trunk free space = 0 MB storage server count = 1 active server count = 1 storage server port = 23000 storage HTTP port = 8888 store path count = 1 subdir count per path = 256 current write server index = 0 current trunk file id = 0 Storage 1: id = 172.17.9.217 ip_addr = 172.17.9.217 ACTIVE http domain = version = 5.11 join time = 2019-06-05 16:14:24 up time = 2019-06-05 16:14:24 total storage = 40187 MB free storage = 28282 MB upload priority = 10 store_path_count = 1 subdir_count_per_path = 256 storage_port = 23000 storage_http_port = 8888 current_write_path = 0 source storage id = if_trunk_server = 0 connection.alloc_count = 256 connection.current_count = 0 connection.max_count = 0 total_upload_count = 0 success_upload_count = 0 total_append_count = 0 success_append_count = 0 total_modify_count = 0 success_modify_count = 0 total_truncate_count = 0 success_truncate_count = 0 total_set_meta_count = 0 success_set_meta_count = 0 total_delete_count = 0 success_delete_count = 0 total_download_count = 0 success_download_count = 0 total_get_meta_count = 0 success_get_meta_count = 0 total_create_link_count = 0 success_create_link_count = 0 total_delete_link_count = 0 success_delete_link_count = 0 total_upload_bytes = 0 success_upload_bytes = 0 total_append_bytes = 0 success_append_bytes = 0 total_modify_bytes = 0 success_modify_bytes = 0 stotal_download_bytes = 0 success_download_bytes = 0 total_sync_in_bytes = 0 success_sync_in_bytes = 0 total_sync_out_bytes = 0 success_sync_out_bytes = 0 total_file_open_count = 0 success_file_open_count = 0 total_file_read_count = 0 success_file_read_count = 0 total_file_write_count = 0 success_file_write_count = 0 last_heart_beat_time = 2019-06-05 16:41:02 last_source_update = 1970-01-01 08:00:00 last_sync_update = 1970-01-01 08:00:00 last_synced_timestamp = 1970-01-01 08:00:00
上传文件用法:
Usage: fdfs_upload_file <config_file> <local_filename> [storage_ip:port] [store_path_index]
例子:
root@iZbp1anc6yju2dks3nw5j0Z:~# fdfs_upload_file /etc/fdfs/client.conf get-pip.py group1/M00/00/00/rBEJ2Vz3iIWAa43KABoXAeKsnG06224.py
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网
猜你喜欢:- Hyperledger Fabric环境搭建及环境测试(Mac环境)
- CV 环境很重要,各种环境搭建大全
- Openstack Queens 环境搭建(一)环境准备
- Python 环境搭建
- 1 - 搭建开发环境
- 搭建 Android 内核环境
本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
Python高性能编程
【美】 戈雷利克 (Micha Gorelick)、【美】 欧日沃尔德(Ian Ozsvald) / 人民邮电出版社 / 2017-7-1 / 79
本书共有12章,围绕如何进行代码优化和加快实际应用的运行速度进行详细讲解。本书主要包含以下主题:计算机内部结构的背景知识、列表和元组、字典和集合、迭代器和生成器、矩阵和矢量计算、并发、集群和工作队列等。最后,通过一系列真实案例展现了在应用场景中需要注意的问题。 本书适合初级和中级Python程序员、有一定Python语言基础想要得到进阶和提高的读者阅读。一起来看看 《Python高性能编程》 这本书的介绍吧!