连接mysql:
首先检查是否安装上pymsql
import pymysql conn = pymysql.connect(host= ‘ 172.16.70.130 ‘ ,port=3306,user=‘user ‘ ,password=‘passwd’)#host是你的主机地址 port默认为3306 user表示你的用户名 password表示密码 另外可以指定库只需要传递database参数即可 cur = conn.cursor() cur.execute( ‘ select version() ‘ ) data = cur.fetchall() print (data)#打印版本号
运行结果如下:
(( ‘ 5.7.27 ‘ ,),)
连接redis:
首先检查是否安装redis
import redis conn = redis.StrictRedis(host= ‘ 172.16.70.130 ‘ ,port=6379,decode_responses=True,db=1 ) # host:主机名 port:端口号默认6379 如果有设密码需要传递password参数 db指定库 默认为0 print (conn.info())
结果如下:
{ ‘ redis_version ‘ : ‘ 5.0.5 ‘#版本号 , ‘ redis_git_sha1 ‘ : 0, ‘ redis_git_dirty ‘ : 0, ‘ redis_build_id ‘ : ‘ 6a23e5766d3175f5 ‘ , ‘ redis_mode ‘ : ‘ standalone ‘ , ‘ os ‘ : ‘ Linux 3.10.0-1160.21.1.el7.x86_64 x86_64 ‘ , ‘ arch_bits ‘ : 64, ‘ multiplexing_api ‘ : ‘ epoll ‘ , ‘ atomicvar_api ‘ : ‘ atomic-builtin ‘ , ‘ gcc_version ‘ : ‘ 4.8.5 ‘ , ‘ process_id ‘ : 3702, ‘ run_id ‘ : ‘ 0b9a27d474df47866f2615cbb4c12a157c202d57 ‘ , ‘ tcp_port ‘ : 6379, ‘ uptime_in_seconds ‘ : 6837, ‘ uptime_in_days ‘ : 0, ‘ hz ‘ : 10, ‘ configured_hz ‘ : 10, ‘ lru_clock ‘ : 7365539, ‘ executable ‘ : ‘ /opt/redis-5.0.5/./src/redis-server ‘ , ‘ config_file ‘ : ‘ /opt/redis-5.0.5/redis.conf ‘ , ‘ connected_clients ‘ : 2, ‘ client_recent_max_input_buffer ‘ : 2, ‘ client_recent_max_output_buffer ‘ : 0, ‘ blocked_clients ‘ : 0, ‘ used_memory ‘ : 5019560, ‘ used_memory_human ‘ : ‘ 4.79M ‘ , ‘ used_memory_rss ‘ : 11505664, ‘ used_memory_rss_human ‘ : ‘ 10.97M ‘ , ‘ used_memory_peak ‘ : 8052504, ‘ used_memory_peak_human ‘ : ‘ 7.68M ‘ , ‘ used_memory_peak_perc ‘ : ‘ 62.34% ‘ , ‘ used_memory_overhead ‘ : 858080, ‘ used_memory_startup ‘ : 791392, ‘ used_memory_dataset ‘ : 4161480, ‘ used_memory_dataset_perc ‘ : ‘ 98.42% ‘ , ‘ allocator_allocated ‘ : 5438560, ‘ allocator_active ‘ : 6467584, ‘ allocator_resident ‘ : 17625088, ‘ total_system_memory ‘ : 1019559936, ‘ total_system_memory_human ‘ : ‘ 972.33M ‘ , ‘ used_memory_lua ‘ : 37888, ‘ used_memory_lua_human ‘ : ‘ 37.00K ‘ , ‘ used_memory_scripts ‘ : 0, ‘ used_memory_scripts_human ‘ : ‘ 0B ‘ , ‘ number_of_cached_scripts ‘ : 0, ‘ maxmemory ‘ : 0, ‘ maxmemory_human ‘ : ‘ 0B ‘ , ‘ maxmemory_policy ‘ : ‘ noeviction ‘ , ‘ allocator_frag_ratio ‘ : 1.19, ‘ allocator_frag_bytes ‘ : 1029024, ‘ allocator_rss_ratio ‘ : 2.73, ‘ allocator_rss_bytes ‘ : 11157504, ‘ rss_overhead_ratio ‘ : 0.65, ‘ rss_overhead_bytes ‘ : -6119424, ‘ mem_fragmentation_ratio ‘ : 2.32, ‘ mem_fragmentation_bytes ‘ : 6549264, ‘ mem_not_counted_for_evict ‘ : 0, ‘ mem_replication_backlog ‘ : 0, ‘ mem_clients_slaves ‘ : 0, ‘ mem_clients_normal ‘ : 66616, ‘ mem_aof_buffer ‘ : 0, ‘ mem_allocator ‘ : ‘ jemalloc-5.1.0 ‘ , ‘ active_defrag_running ‘ : 0, ‘ lazyfree_pending_objects ‘ : 0, ‘ loading ‘ : 0, ‘ rdb_changes_since_last_save ‘ : 0, ‘ rdb_bgsave_in_progress ‘ : 0, ‘ rdb_last_save_time ‘ : 1617974663, ‘ rdb_last_bgsave_status ‘ : ‘ ok ‘ , ‘ rdb_last_bgsave_time_sec ‘ : 0, ‘ rdb_current_bgsave_time_sec ‘ : -1, ‘ rdb_last_cow_size ‘ : 634880, ‘ aof_enabled ‘ : 0, ‘ aof_rewrite_in_progress ‘ : 0, ‘ aof_rewrite_scheduled ‘ : 0, ‘ aof_last_rewrite_time_sec ‘ : -1, ‘ aof_current_rewrite_time_sec ‘ : -1, ‘ aof_last_bgrewrite_status ‘ : ‘ ok ‘ , ‘ aof_last_write_status ‘ : ‘ ok ‘ , ‘ aof_last_cow_size ‘ : 0, ‘ total_connections_received ‘ : 14, ‘ total_commands_processed ‘ : 60113, ‘ instantaneous_ops_per_sec ‘ : 0, ‘ total_net_input_bytes ‘ : 7993087, ‘ total_net_output_bytes ‘ : 9155003, ‘ instantaneous_input_kbps ‘ : 0.0, ‘ instantaneous_output_kbps ‘ : 0.0, ‘ rejected_connections ‘ : 0, ‘ sync_full ‘ : 0, ‘ sync_partial_ok ‘ : 0, ‘ sync_partial_err ‘ : 0, ‘ expired_keys ‘ : 0, ‘ expired_stale_perc ‘ : 0.0, ‘ expired_time_cap_reached_count ‘ : 0, ‘ evicted_keys ‘ : 0, ‘ keyspace_hits ‘ : 15, ‘ keyspace_misses ‘ : 5, ‘ pubsub_channels ‘ : 0, ‘ pubsub_patterns ‘ : 0, ‘ latest_fork_usec ‘ : 321, ‘ migrate_cached_sockets ‘ : 0, ‘ slave_expires_tracked_keys ‘ : 0, ‘ active_defrag_hits ‘ : 0, ‘ active_defrag_misses ‘ : 0, ‘ active_defrag_key_hits ‘ : 0, ‘ active_defrag_key_misses ‘ : 0, ‘ role ‘ : ‘ master ‘ , ‘ connected_slaves ‘ : 0, ‘ master_replid ‘ : ‘ 545becf1f5f2952dcf76619dbc67fe7b95a03776 ‘ , ‘ master_replid2 ‘ : 0, ‘ master_repl_offset ‘ : 0, ‘ second_repl_offset ‘ : -1, ‘ repl_backlog_active ‘ : 0, ‘ repl_backlog_size ‘ : 1048576, ‘ repl_backlog_first_byte_offset ‘ : 0, ‘ repl_backlog_histlen ‘ : 0, ‘ used_cpu_sys ‘ : 20.550579, ‘ used_cpu_user ‘ : 8.305302, ‘ used_cpu_sys_children ‘ : 0.058768, ‘ used_cpu_user_children ‘ : 0.202806, ‘ cluster_enabled ‘ : 0, ‘ db1 ‘ : { ‘ keys ‘ : 1, ‘ expires ‘ : 0, ‘ avg_ttl ‘ : 0}}
mongodb连接:
首先检查是否安装pymongo
import pymongo client = pymongo.MongoClient(host= ‘ 172.16.70.130 ‘ ,port=27017 ) # host:主机地址 port:端口号默认27017 # 如果开启权限认证就需要进行登陆认证 client[ ‘ admin ‘ ].authenticate(username,password) db = client[‘databasename’] # 指定库 然后就可以往里插入或者查找数据验证是否连接成功
连接成功后就可根据需求建表建库保存数据,还可以通过操作文件句柄保存在本地。
网络爬虫之数据库连接
标签:sla 网络 print pre mysql script tin god partial
声明:本文来自网络,不代表【好得很程序员自学网】立场,转载请注明出处:http://www.haodehen.cn/did117454