Question

我的任务是缩短大型SQL查询以进行记录。因此，我需要匹配这样的查询：

SELECT   PersonID,
         Name,
         City,
         MIN(ArriveDate),
         MAX(LeaveDate)
FROM     customertravel
WHERE    PersonID IN (1, 2, 7)
GROUP BY PersonID,
         Name,
         City;

我的Regex代码是：

INSERT INTO analytics_events (person_id,other_person_id,location_id,location_name,date,action,type,info,created_at,updated_at) VALUES
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')
(123, 456, 19, 'Sarasota', '2018-10-31 09:08:17.982', 'send', 'email', 'Subject: Check out this cat video', '2018-10-31 09:09:17.982', '2018-10-31 09:09:17.982'),
(321, 654, 89, 'Indianapolis', '2018-10-31 09:08:18.982', 'read', 'page', 'Title: You\'ll Never Believe What they said', '2018-10-31 09:09:19.982', '2018-10-31 09:09:19.982'),
... '9998 more rows')

不幸的是，这导致了此异常：

Pattern.compile("INSERT(.|\\n)*INTO(.|\\n)*VALUES(.|\\n)*", Pattern.CASE_INSENSITIVE);

我的目标是将该SQL文本转换为没有数据成分的内容，例如：

java.lang.StackOverflowError
    at java.util.regex.Pattern$CharProperty.match(Pattern.java:3774)
    at java.util.regex.Pattern$Branch.match(Pattern.java:4604)
    at java.util.regex.Pattern$GroupHead.match(Pattern.java:4658)
    at java.util.regex.Pattern$Loop.match(Pattern.java:4785)
    at java.util.regex.Pattern$GroupTail.match(Pattern.java:4717)

出于汇总查询时间统计的目的。

匹配SQL查询时出现StackOverflowError

0 个答案: