Nginx 没有缓存我设置的缓存路径

时间:2021-07-29 02:45:46

标签: nginx caching

proxy_cache_path /tmp/nginx_team_alert_cache keys_zone=team_alerts:10m levels=1:2 max_size=1g use_temp_path=off;

server{
...
    location /api/timeentry/timeentry/team_alerts/ {
        proxy_cache team_alerts;
        proxy_ignore_headers Cache-Control Set-Cookie;
        proxy_hide_header "Set-Cookie";
        proxy_cache_valid 200 5s;
        proxy_cache_key $scheme$host$request_method$request_uri;
        proxy_buffering on;
        add_header X-Cached $upstream_cache_status;

        include         uwsgi_params;
        uwsgi_pass      unix:/tmp/app.sock;
    }
}

我一直在 stackoverflow 等上搜索并添加了所有推荐的选项,但仍然没有缓存。

1 个答案:

答案 0 :(得分:0)

我刚刚意识到我是 from numpy import array import re def get_num_over_num(value): match = re.match(r'\d+/\d+', value) if match: return match.group(0) return None list_2 = ['2/1=MV01', '9/2=MV01C', '13/2=MV01D', '16/1', '25/1=MV02', '36/1 = MV03', '46/1 = MV04', '51/2 = MV05', '56/2 = MV06', '58/1 = MV07', '62/2 = MV08', '68/1', '71/2=MV09', '73/1=MV09A', '75/1=MV09B', '76/1=MV09C', '78/2 = MV10', '79/2 = MV11', '81/2', '84/1', '5/2', '8/1', '42/2', '44/2'] list_2_num_over_nums = set() for value in list_2: num_over_num = get_num_over_num(value) if not num_over_num: continue list_2_num_over_nums.add(num_over_num) list_1 = [array([['0/1']], dtype=object), array([['2/1=MV01']], dtype=object), array([['5/2=MV01A']], dtype=object), array([['8/1=MV01B']], dtype=object), array([['9/2=MV01C']], dtype=object), array([['13/2=MV01D']], dtype=object), array([['16/1']], dtype=object), array([['25/1=MV02']], dtype=object), array([['36/1 = MV03']], dtype=object), array([['42/2']], dtype=object), array([['44/2']], dtype=object), array([['46/1 = MV04']], dtype=object), array([['51/2 = MV05']], dtype=object), array([['56/2 = MV06']], dtype=object), array([['58/1 = MV07']], dtype=object), array([['62/2 = MV08']], dtype=object), array([['68/1']], dtype=object), array([['71/2=MV09']], dtype=object), array([['73/1=MV09A']], dtype=object), array([['75/1=MV09B']], dtype=object), array([['76/1=MV09C']], dtype=object), array([['78/2 = MV10']], dtype=object), array([['79/2 = MV11']], dtype=object), array([['81/2']], dtype=object), array([['84/1']], dtype=object)] list_1_num_over_nums = set() list_1_num_over_nums_whole = [] for arr_2dim in list_1: for arr_1dim in arr_2dim: for value in arr_1dim: num_over_num = get_num_over_num(value) if not num_over_num: continue list_1_num_over_nums.add(num_over_num) # You can also use the whole multi-dimensional array object if num_over_num not in list_2_num_over_nums: list_1_num_over_nums_whole.append(arr_2dim) print("Items in list_1 but not in list_2 (whole object):", list_1_num_over_nums_whole) print("Items in list_1 but not in list_2:", list_1_num_over_nums - list_2_num_over_nums) print("Items in list_2 but not in list_1:", list_2_num_over_nums - list_1_num_over_nums) print("Union of items in list_1 and list_2:", list_1_num_over_nums | list_2_num_over_nums) print("Intersection of items in list_1 and list_2:", list_1_num_over_nums & list_2_num_over_nums) print("Items in list_1 or list_2 but not in both:", list_1_num_over_nums ^ list_2_num_over_nums) 所以 Items in list_1 but not in list_2 (whole object): [array([['0/1']], dtype=object)] Items in list_1 but not in list_2: {'0/1'} Items in list_2 but not in list_1: set() Union of items in list_1 and list_2: {'13/2', '0/1', '56/2', '84/1', '73/1', '75/1', '25/1', '58/1', '81/2', '9/2', '79/2', '36/1', '16/1', '51/2', '42/2', '76/1', '5/2', '71/2', '78/2', '2/1', '8/1', '62/2', '68/1', '46/1', '44/2'} Intersection of items in list_1 and list_2: {'13/2', '56/2', '84/1', '73/1', '75/1', '25/1', '58/1', '81/2', '9/2', '79/2', '36/1', '16/1', '51/2', '76/1', '42/2', '5/2', '71/2', '78/2', '2/1', '8/1', '62/2', '68/1', '46/1', '44/2'} Items in list_1 or list_2 but not in both: {'0/1'} 指令不起作用,只需将 uwsgi_pass 替换为 proxy_* 工作

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