我使用以下代码处理'text files'。在这里我说如果'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''当我将数据存储到MySQL时,我该怎么做?
$sajUsers = file_get_contents( 'users.txt' );
$ajUsers = json_decode($sajUsers);
// Create the JSON ONBJECT with key values
if ( count( $ajUsers ) === 0 ) { // if the aray is empty create an Admin
//echo( "The array is empty creating admin" );
$jNewUser->role = 'admin';
} else { // if it´s not empty create a user
//echo( "The array isnt empty creating user" );
$jNewUser->role = 'user';
}
答案 0 :(得分:0)
# what I would like to obtain:
#_timeslice _count _min_val1 _avg_val1 _max_val1 _first_val2 _last_val2
# 2017-11-01T00:00:00Z 4 90 100 110 200 210
# 2017-11-01T00:15:00Z 3 100 110 120 240 230
# 2017-11-01T00:30:00Z 2 110 120 130 270 265
# 2017-11-01T00:45:00Z 4 80 112.5 150 290 320
CREATE TABLE `test-table`
(`date_time` datetime, `val1` float, `val2` float);
INSERT INTO `test-table`
(`date_time`, `val1`, `val2`)
VALUES
('2017-11-01 00:00:00', 100, 200), # first 15 min
('2017-11-01 00:01:00', 110, 190),
('2017-11-01 00:02:05', 90, 220),
('2017-11-01 00:14:00', 100, 210),
('2017-11-01 00:15:00', 100, 240), # second 15 min
('2017-11-01 00:16:00', 110, 250),
('2017-11-01 00:28:00', 120, 230),
('2017-11-01 00:30:00', 110, 270), # third 15 min
('2017-11-01 00:44:59', 130, 265),
('2017-11-01 00:50:00', 120, 290), # fourth 15 min
('2017-11-01 00:55:00', 150, 300),
('2017-11-01 00:57:00', 100, 280),
('2017-11-01 00:58:00', 80, 320)
;
SELECT FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(`date_time`)/900)*900) AS _timeslice,
COUNT(*) AS _count,
min(`val1`) as _min_val1,
avg(`val1`) as _avg_val1,
max(`val1`) as _max_val1,
coalesce(`val2`) as _first_val2 # returns the first val2 in the group
# ----> how to add here the last val2 for the group?
FROM `test-table`
GROUP BY _timeslice;