代码拉取完成,页面将自动刷新
同步操作将从 巴拉迪维/ohUrlShortener 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
-- Database Structure For ohUrlShortener
CREATE DATABASE oh_url_shortener ENCODING 'UTF8';
-- Connect to database oh_url_shortener
\c oh_url_shortener
CREATE TABLE public.short_urls (
id serial4 NOT NULL,
short_url varchar(200) NOT NULL,
dest_url text NOT NULL,
created_at timestamp with time zone NOT NULL DEFAULT now(),
is_valid bool NOT NULL DEFAULT true,
memo text,
CONSTRAINT short_urls_pk PRIMARY KEY (id),
CONSTRAINT short_urls_un UNIQUE (short_url)
);
-- Insert new data
INSERT INTO public.short_urls(short_url, dest_url, created_at, is_valid, memo) VALUES
('AC7VgPE9', 'https://www.gitlink.org.cn/baladiwei/ohurlshortener', NOW(), true, '短链接系统 gitlink 页面'),
('AvTkHZP7', 'https://gitee.com/barat/ohurlshortener', NOW(), true, '短链接系统 gitee 页面'),
('gkT39tb5', 'https://github.com/barats/ohUrlShortener', NOW(), true, '短链接系统 github 页面'),
('9HtCr7YN', 'https://www.ohurls.cn', NOW(), true, 'ohUrlShortener 短链接系统首页');
CREATE TABLE public.access_logs (
id serial4 NOT NULL,
short_url varchar(200) NOT NULL,
access_time timestamp with time zone NOT NULL DEFAULT NOW(),
ip varchar(64) NULL,
user_agent varchar(1000) NULL,
CONSTRAINT access_logs_pk PRIMARY KEY (id)
);
CREATE INDEX access_logs_short_url_idx ON public.access_logs (short_url);
CREATE INDEX access_logs_access_time_idx ON public.access_logs (access_time);
CREATE INDEX access_logs_ip_idx ON public.access_logs (ip);
CREATE INDEX access_logs_ua_idx ON public.access_logs (user_agent);
CREATE TABLE public.users (
id serial4 NOT NULL,
account varchar(200) NOT NULL,
password text NOT NULL,
CONSTRAINT users_pk PRIMARY KEY (id),
CONSTRAINT users_account_un UNIQUE (account)
);
-- account: ohUrlShortener password: -2aDzm=0(ln_9^1
INSERT INTO public.users (account, "password") VALUES('ohUrlShortener', 'EZ2zQjC3fqbkvtggy9p2YaJiLwx1kKPTJxvqVzowtx6t');
-- Create table for top25 urls
CREATE TABLE public.stats_top25 (
id serial4 NOT NULL,
short_url varchar(200) NOT NULL,
today_count int8 NOT NULL DEFAULT 0,
d_today_count int8 NOT NULL DEFAULT 0,
stats_time timestamp with time zone NOT NULL DEFAULT NOW(),
CONSTRAINT stats_tv_pk PRIMARY KEY (id)
);
-- Stored procedure for top25 urls
CREATE FUNCTION p_stats_top25() RETURNS void AS $$
BEGIN
RAISE NOTICE 'Procedure p_stats_top25() called';
-- delete all records
DELETE FROM public.stats_top25 WHERE 1=1;
-- insert fresh-new records
INSERT INTO public.stats_top25(short_url,today_count,d_today_count,stats_time)
SELECT l.short_url AS short_url, COUNT(l.ip) AS today_count ,COUNT(DISTINCT(l.ip)) AS d_today_count, NOW() AS stats_time
FROM public.access_logs l WHERE date(l.access_time) = date(NOW()) GROUP BY l.short_url ORDER BY today_count DESC LIMIT 25;
END;
$$ LANGUAGE plpgsql;
-- Create table for sum view
CREATE TABLE public.stats_sum (
stats_key varchar(200) NOT NULL,
stats_value int8 NOT NULL DEFAULT 0,
CONSTRAINT stats_sum_key PRIMARY KEY (stats_key)
);
-- Insert pre-defined stats
INSERT INTO public.stats_sum (stats_key,stats_value) VALUES
('today_count',0), ('d_today_count',0),
('yesterday_count',0), ('d_yesterday_count',0),
('last_7_days_count',0), ('d_last_7_days_count',0),
('monthly_count',0), ('d_monthly_count',0);
-- Stored procedure for stats sum view
CREATE FUNCTION p_stats_sum() RETURNS void AS $$
DECLARE
today_count int8;
d_today_count int8;
yesterday_count int8;
d_yesterday_count int8;
last_7_days_count int8;
d_last_7_days_count int8;
monthly_count int8;
d_monthly_count int8;
BEGIN
RAISE NOTICE 'Procedure p_stats_sum() called';
SELECT COUNT(l.ip),COUNT(DISTINCT(l.ip)) INTO today_count,d_today_count
FROM public.access_logs l WHERE date(l.access_time) = date(NOW());
SELECT COUNT(l.ip),COUNT(DISTINCT(l.ip)) INTO yesterday_count,d_yesterday_count
FROM public.access_logs l WHERE date(l.access_time) = (NOW() - INTERVAL '1 day')::date;
SELECT COUNT(l.ip),COUNT(DISTINCT(l.ip)) INTO last_7_days_count,d_last_7_days_count
FROM public.access_logs l WHERE date(l.access_time) >= (NOW() - INTERVAL '7 day')::date;
SELECT COUNT(l.ip),COUNT(DISTINCT(l.ip)) INTO monthly_count,d_monthly_count
FROM public.access_logs l WHERE DATE_PART('month', l.access_time) = DATE_PART('month',NOW());
UPDATE public.stats_sum SET stats_value =
CASE
WHEN stats_key = 'today_count' THEN today_count
WHEN stats_key = 'd_today_count' THEN d_today_count
WHEN stats_key = 'yesterday_count' THEN yesterday_count
WHEN stats_key = 'd_yesterday_count' THEN d_yesterday_count
WHEN stats_key = 'last_7_days_count' THEN last_7_days_count
WHEN stats_key = 'd_last_7_days_count' THEN d_last_7_days_count
WHEN stats_key = 'monthly_count' THEN monthly_count
WHEN stats_key = 'd_monthly_count' THEN d_monthly_count
ELSE 0
END;
END;
$$ LANGUAGE plpgsql;
-- Create table for ip url sum
CREATE TABLE public.stats_ip_sum (
short_url varchar(200) NOT NULL,
today_count int8 NOT NULL DEFAULT 0,
d_today_count int8 NOT NULL DEFAULT 0,
yesterday_count int8 NOT NULL DEFAULT 0,
d_yesterday_count int8 NOT NULL DEFAULT 0,
last_7_days_count int8 NOT NULL DEFAULT 0,
d_last_7_days_count int8 NOT NULL DEFAULT 0,
monthly_count int8 NOT NULL DEFAULT 0,
d_monthly_count int8 NOT NULL DEFAULT 0,
total_count int8 NOT NULL DEFAULT 0,
d_total_count int8 NOT NULL DEFAULT 0,
CONSTRAINT stats_ip_sum_pk PRIMARY KEY (short_url)
);
-- Stored procedure for ip url sum
CREATE FUNCTION p_stats_ip_sum() RETURNS void AS $$
BEGIN
RAISE NOTICE 'Procedure p_stats_ip_sum() called';
-- Delete all records
DELETE FROM public.stats_ip_sum WHERE 1=1;
-- Calculate new stats data
INSERT INTO public.stats_ip_sum(short_url,today_count,d_today_count,yesterday_count,d_yesterday_count,last_7_days_count,d_last_7_days_count,
monthly_count,d_monthly_count,total_count,d_total_count)
SELECT
u.short_url,
(SELECT count(ip) FROM public.access_logs WHERE date(access_time) = date(NOW()) AND short_url = u.short_url),
(SELECT count(DISTINCT(ip)) FROM public.access_logs WHERE date(access_time) = date(NOW()) AND short_url = u.short_url),
(SELECT count(ip) FROM public.access_logs WHERE date(access_time) = (NOW() - INTERVAL '1 day')::date AND short_url = u.short_url),
(SELECT count(DISTINCT(ip)) FROM public.access_logs WHERE date(access_time) = (NOW() - INTERVAL '1 day')::date AND short_url = u.short_url),
(SELECT count(ip) FROM public.access_logs WHERE date(access_time) >= (NOW() - INTERVAL '7 day')::date AND short_url = u.short_url),
(SELECT count(DISTINCT(ip)) FROM public.access_logs WHERE date(access_time) >= (NOW() - INTERVAL '7 day')::date AND short_url = u.short_url),
(SELECT count(ip) FROM public.access_logs WHERE DATE_PART('month',access_time) = DATE_PART('month',NOW()) AND short_url = u.short_url),
(SELECT count(DISTINCT(ip)) FROM public.access_logs WHERE DATE_PART('month',access_time) = DATE_PART('month',NOW()) AND short_url = u.short_url),
(SELECT count(ip) FROM public.access_logs WHERE short_url = u.short_url),
(SELECT count(DISTINCT(ip)) FROM public.access_logs WHERE short_url = u.short_url)
FROM public.short_urls u
LEFT JOIN public.access_logs l ON u.short_url = l.short_url
GROUP BY u.short_url;
END;
$$ LANGUAGE plpgsql;
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。