How to determin date below todays date from db in php - php

I'm developing a pharmacy store project, but I have a problem of determining the total number of drugs that expired. From DB I have:
+----+----------+--------+------------+
| id | drug_nam | amount | exp |
+----+----------+--------+------------+
| 1 | M and T | 200 | 04/15/2016 |
| 2 | VIT C | 20 | 05/25/2016 |
| 3 | Pana | 10 | 01/03/2016 |
| 4 | Lonat | 1200 | 08/25/2017 |
| 5 | ProC | 100 | 05/25/2017 |
+----+----------+--------+------------+
what I need here is a line of PHP script that will count the numbers of expired drugs from DB. using <?php $d = date('m/d/Y'); ?> to determine it from DB.
I used the code below but it count only 2
<?php
$d = date('m/d/Y');
$result = mysqli_query($conn, "SELECT count(exp) FROM products where exp < $d ");
while($row = mysqli_fetch_array($result))
{
echo $row['count(exp)'];
}

You should convert your string date representation to date value if you want to filter by date but not by string.
This query should work:
SELECT count(exp) FROM products where STR_TO_DATE(exp, '%d/%m/%Y') < $d
The main drawback is mysql can't use index in this case. One of the solution is to convert your column from varchar(50) to DATETIME. In this case you can use your original query.

From your table it seems you used some sort of text or varchar for you exp column. Cause mysql date format should be like yyyy-mm-dd. Please change your exp column to date and change the below line
$d = date('m/d/Y');
to
$d = date('Y-m-d');
That should be good.

Related

Find Upcoming birthdays with Mysql

I want to select the next upcoming birthdays in MYSQL.
My date is stored as: 02/19/1981 and not in a date field. I think it has to sort by day and month and not year but i can not find out how.
How can i do this? This is the query till now:
$sql = "SELECT * FROM wp_postmeta WHERE meta_key='_web_date' ORDER BY ....";
If it's possible for you change the date column to type date.
Otherwise try this:
SELECT month(str_to_date(birthdayColumn, "%m/%d/%Y")) as month, day(str_to_date(birthdayColumn, "%m/%d/%Y")) as day FROM yourTable order by month, day;
Result:
+-------+------+
| month | day |
+-------+------+
| 1 | 12 |
| 2 | 19 |
| 9 | 10 |
| 12 | 15 |
+-------+------+
You can use the php date() function. For example ate('Y-m-d',strtotime("+7 day")); then create a sql query which selects dates which are in the upcoming 7 days
This is a test environment.
CREATE TEMPORARY TABLE `birthdays` (
`id` int(4),
`name` VARCHAR(50),
`dob` CHAR(10)
) ENGINE=MEMORY;
INSERT INTO birthdays VALUES (1,'Alice', '02/19/1951'), (2,'Bob', '09/10/2015'), (3,'Carol', '12/15/2000'), (4,'Doug', '01/12/2011');
I created this function to get the next birthday. The logic may throw some interesting results over 29th Feb / 1st March.
DELIMITER $$
CREATE FUNCTION `next_birth_day`(d_dob DATE) RETURNS DATE
DETERMINISTIC
BEGIN
/* NOTE: this logic ignores the handling of leap years */
/* MySQL will happily construct invalid leap years and they are ordered
between 29/2 & 1/3 in this code. */
DECLARE d_today DATE;
DECLARE d_this_year_bday DATE;
DECLARE d_next_year_bday DATE;
SET d_today = DATE(NOW());
SET d_this_year_bday = CONCAT(YEAR(d_today), '-', MONTH(d_dob), '-', DAY(d_dob));
SET d_next_year_bday = CONCAT(YEAR(d_today)+1, '-', MONTH(d_dob), '-', DAY(d_dob));
RETURN IF( d_this_year_bday < d_today, d_next_year_bday, d_this_year_bday);
END
$$
DELIMITER ;
Then you can do a query and order by next_birth_day:
SELECT *, str_to_date(dob, "%m/%d/%Y") AS dob_dt,
next_birth_day(str_to_date(dob, "%m/%d/%Y")) AS next_bday
FROM birthdays
ORDER BY next_birth_day(str_to_date(dob, "%m/%d/%Y")) ASC
giving results like this:
+------+-------+------------+------------+------------+
| id | name | dob | dob_dt | next_bday |
+------+-------+------------+------------+------------+
| 3 | Carol | 12/15/2000 | 2000-12-15 | 2015-12-15 |
| 4 | Doug | 01/12/2011 | 2011-01-12 | 2016-01-12 |
| 1 | Alice | 02/19/1951 | 1951-02-19 | 2016-02-19 |
| 2 | Bob | 09/10/2015 | 2015-09-10 | 2016-09-10 |
+------+-------+------------+------------+------------+

Displaying daily totals between now and x days ago using MYSQL/PHP

I have a table called 'orders' and it contains; id, order_total and time fields. 'time' is an integer and stores a unix timestamp...
orders
| id | order_total | time |
-------------------------------------
| 1 | 42.00 | 1443355834 |
| 2 | 13.00 | 1443460326 |
| 3 | 51.00 | 1443468094 |
| 4 | 16.00 | 1443477442 |
| 5 | 10.00 | 1443606966 |
| 6 | 53.00 | 1443608256 |
I want to able to display in a table using php the sum, of 'order_total' for each day for the previous 'x' amount of days (or weeks or months) so it will look something like this:
| Date | Order Total |
---------------------------
| 27/09/15 | 42.00 |
| 28/09/15 | 80.00 |
| 30/09/15 | 63.00 |
I have made a MYSQL query and a php loop that kind of works but being new to MYSQL I am probably over-complicating things and there must be an easier way to do this ? When I say kind of works, it will correctly sum and show the order_totals up until the current day but for some reason will combine the current day with the previous day.
Here is what I currently have:
$x = $interval;
$y = $x - 1;
while ($x > 0) {
$sql10 = "
SELECT id,
time,
SUM(order_total) as sum,
date_format(DATE_SUB(FROM_UNIXTIME($now_time), INTERVAL $x DAY), '%Y-%m-%d') as thedate
FROM $ordersTABLE
WHERE FROM_UNIXTIME(time) BETWEEN date_format(DATE_SUB(FROM_UNIXTIME($now_time), INTERVAL $x DAY),'%Y-%m-%d')
AND date_format(DATE_SUB(FROM_UNIXTIME($now_time), INTERVAL $y DAY),'%Y-%m-%d')";
$result10 = mysql_query ( $sql10, $cid ) or die ( "Couldn't execute query." );
while ( $row = mysql_fetch_array ( $result10) ) {
$order_total = $row ["order_total"];
$thedate = $row ["thedate"];
$sum = $row ["sum"];
$sum = number_format($sum,2);
$thedate = strtotime($thedate);
$thedate = date("d/m/y",$thedate);
print "<tr><td width=\"120\">$thedate</td><td>\$$sum</td></tr>";
}
$x--;
$y--;
}
(The string $now_time contains the current time as a Unix Timestamp hence the converting as the system time can not be changed and this contains the correct local time for the user)
Is there better way to do this ?
You can convert the timestamps into YYYY MM DD using FROM_UNIXTIME function and then select only the ones which are older enough thanks to the DATEDIFF function. Today's date is provided by CURDATE function.
First of all, the query which retrieves the totals for the orders older then the interval and reformats the date fields:
$q1 = "SELECT " . $ordersTABLE . ".order_total AS total, FROM_UNIXTIME(" . $ordersTABLE . ".time, '%Y-%m-%d') AS short_date FROM " . $ordersTABLE . " WHERE DATEDIFF(CURDATE(), short_date) > " . $intervalInDAYS;
Then, the one that sums up the totals of the day:
$q2 = "SELECT short_date AS day, SUM(total) AS total FROM (" . $q1 . ") GROUP BY short_date";
And then you perform your query stored in $q2 and all other operations you need to display the result.
Result from the query should be in form:
| day | total |
===========================
| 25/09/15 | 34.00 |
| 16/09/15 | 100.00 |
| 31/07/14 | 3.20 |
| ... | ... |

MySql AVG() and WHERE

I'm struggling on how to write this query and cant quite find an answer to help me with my case.
Consider the following table:
-----------------------------------------------
| ID | Value1 | Value2 | Value3 | Date |
-----------------------------------------------
| 1 | 10 | 23 | 30 | 2015-01-01 |
-----------------------------------------------
| 1 | 11 | 33 | 40 | 2015-02-01 |
-----------------------------------------------
| 2 | 26 | 93 | 20 | 2015-01-01 |
-----------------------------------------------
| 2 | 11 | 33 | 50 | 2015-02-01 |
-----------------------------------------------
I want to retrieve the average value of Value1 where the Date is 2015-01-01
I thought that
SELECT AVG(PAM_1) FROM MyTable WHERE DATE = 2015-01-01
would work but of course it does not. I'm aware that I probably need to use HAVING but I'm being confused if I must also use GROUP BY and if do I need the AS (something) part.
EDIT
The problem was not related to the query. I was supplying the date trough a variable as such:
$sth = $db->prepare("SELECT AVG(Value1) FROM MyTable WHERE DATE = $date");
Which is not possible to do with prepared statements.
Your query is basically fine. Your date constant is not. Dates constants should be enclosed in single quotes:
SELECT AVG(PAM_1)
FROM MyTable
WHERE DATE = '2015-01-01';
If the date could have a time component, then the following is the best way to handle this:
SELECT AVG(PAM_1)
FROM MyTable
WHERE DATE >= '2015-01-01' AND DATE < '2015-01-02';

Concatenation of date (in date datatype) and time (in time datatype) in PHP

Does concatenation in php make a difference. Lets say I have a time_in column (time datatype) and date_in column (date datatype) in my database.
Example:
id | time_in | time_out | date_in | date_out |
1 | 9:30pm | 7:30am | 2013-12-01 | 2013-13-01 |
And in the table in which I will display it it shows like this;
id | Date & Time Login | Date & Time Logout |
1 | 2013-12-01 9:30pm | 2013-13-01 7:30am |
So far I do this in my script;
echo $row ['date_in' . 'time_in'];
In the table it shows 2013-12-01Array and says that array to string conversion?
How do i do this in small and clean script?
Do I need another query for this?
Do I need to use SELECT CONCAT?
Any suggestions.
Try this :
SELECT CONCAT_WS(' ','date_in','time_in') AS datetime_in, CONCAT_WS(' ','date_out','time_out') AS datetime_out FROM table;
Ref: http://dev.mysql.com/doc/refman/5.0/en/string-functions.html#function_concat
You can do something like this. Concat two variable as per your need.
For Date & Time Login : $login = $row['date_in']." ".$row['time_in'];
For Date & Time Logout : $logout = $row['date_out']." ".$row['time_out'];
<?PHP
$conn=mysql_connect('localhost','root','') or die(mysql_error());
$db=mysql_select_db(ur_dbname, $conn) or die(mysql_error());
$query="SELECT * FROM ur_table_name";
$result=mysql_query($query) or die(mysql_error());
echo "<table style='text-align:center'; cellpadding='3' cellspacing='5'><th><tr><td>ID</td><td colspan='2'>Time_i</td><td colspan='2'>Date_i</td></tr></th>";
while($row=mysql_fetch_array($result) )
{
$dis="<tr><td>".$row['id']." </td><td>|</td><td> ".$row['time_i']." </td><td>|</td><td> ".$row['date_i']."</td><td>|</td></tr>";
echo $dis;
}
echo "</table>";
?>
i think this may work for you -- adn -- output will be
ID Time_i Date_i
1 | 11:08:40 | 2013-03-06 |
2 | 11:11:46 | 2013-03-06 |
3 | 00:00:00 | 2013-03-06 |
4 | 00:00:00 | 2013-03-06 |
5 | 11:16:40 | 2013-03-06 |
6 | 11:16:54 | 2013-03-06 |
you can try this also
echo $row['id']." | ".$row['time']." | ".$row['date'];

How do I perform an iterative calculation using a value from another table selected based on a YYYY-MM date and write it back to the first table?

Started learning PHP and MySQL yesterday and have managed to create two tables, insert rows and then display that data on a web page using various different groupings. Now I need to do a calculation based on data in the two tables and write the result back to one of the tables.
I'm trying to figure out how to perform an equation for a row with a date in table A using a range of values associated with a range of dates in table B. The two dates are in the format YYYY-MM-DD, but the days mostly do not match, so I need match on the month.
Here's the two tables I have:
Table A (user)
+----+----------+------------+-------------+
| id | username | start-date | bench-value |
+----+----------+------------+-------------+
| 1 | tim | 2010-03-04 | |
+----+----------+------------+-------------+
| 2 | jim | 2010-05-30 | |
+----+----------+------------+-------------+
| 3 | fred | 2010-06-12 | |
+----+----------+------------+-------------+
| 4 | sam | 2010-08-16 | |
+----+----------+------------+-------------+
| 5 | jane | 2010-10-21 | |
+----+----------+------------+-------------+
| 6 | ella | 2010-10-21 | |
+----+----------+------------+-------------+
| 7 | bob | 2011-01-24 | |
+----+----------+------------+-------------+
Table B (benchmark)
+----+------------+---------+
| id | start-date | value |
+----+------------+---------+
| 1 | 2010-01-31 | 1173.19 |
+----+------------+---------+
| 2 | 2010-02-28 | 1199.85 |
+----+------------+---------+
| 3 | 2010-03-31 | 1264.91 |
+----+------------+---------+
| 4 | 2010-04-30 | 1263.43 |
+----+------------+---------+
| 5 | 2010-05-31 | 1211.36 |
+----+------------+---------+
| 6 | 2010-06-30 | 1187.32 |
+----+------------+---------+
| 7 | 2010-07-31 | 1218.30 |
+----+------------+---------+
| 8 | 2010-08-31 | 1207.96 |
+----+------------+---------+
| 9 | 2010-09-30 | 1272.12 |
+----+------------+---------+
| 10 | 2010-10-31 | 1280.27 |
+----+------------+---------+
| 11 | 2010-11-30 | 1275.60 |
+----+------------+---------+
| 12 | 2010-12-31 | 1346.45 |
+----+------------+---------+
| 13 | 2011-01-31 | 1337.07 |
+----+------------+---------+
| 14 | 2011-02-28 | 1338.37 |
+----+------------+---------+
| 15 | 2011-03-31 | 1349.14 |
+----+------------+---------+
And here's an example of what I'm trying to achieve:
tim's current bench value today = the sum of: (first(benchmark.value)/latest(benchmark.value))for every month from the first to the latest month inclusive
First date = 2010-03 which is id 3 = 1264.91
Latest date = 2011-03 which is id 15 = 1349.14 (this is always the last row as I am trying to calculate on "today" and nothing in the future)
1/(first/latest) =1/(1264.91/1349.14) = 1.0666 [this is bench.id=3]
...now iterate...
1/(next/latest) =1/(1263.43/1349.14) = 1.0678 [bench.id=4]
1/(next/latest) =1/(1211.36/1349.14) = 1.1137 [bench.id=5]
1/(next/latest) =1/(1187.32/1349.14) = 1.1363 [bench.id=6]
1/(next/latest) =1/(1218.30/1349.14) = 1.1074 [bench.id=7]
1/(next/latest) =1/(1207.96/1349.14) = 1.1169 [bench.id=8]
1/(next/latest) =1/(1272.12/1349.14) = 1.0605 [bench.id=9]
1/(next/latest) =1/(1280.27/1349.14) = 1.0538 [bench.id=10]
1/(next/latest) =1/(1275.60/1349.14) = 1.0577 [bench.id=11]
1/(next/latest) =1/(1346.45/1349.14) = 1.0020 [bench.id=12]
1/(next/latest) =1/(1337.07/1349.14) = 1.0090 [bench.id=13]
1/(next/latest) =1/(1338.37/1349.14) = 1.0080 [bench.id=14]
...and finish up...
1/(current/latest) =1/(1349.14/1349.14) = 1.0000 [bench.id=15]
Total = 13.7997 = 1.0666 + 1.0678 + 1.1137 + 1.1363 + 1.1074 + 1.1169 + 1.0605 + 1.0538 + 1.0577 + 1.002 + 1.009 + 1.008 + 1
So I would then want to write that result back to Table A, giving me:
Table A (user)
+----+----------+------------+-------------+
| id | username | start-date | bench-value |
+----+----------+------------+-------------+
| 1 | tim | 2010-03-04 | 13.7997 |
+----+----------+------------+-------------+
As this is an iterative process it would be a much shorter calculation for a user like 'bob' who started in 2011-01.
I would also like to be able to do this every 4 months to produce termly stats so that someone like user tim would be calculated like this (the initial search to find the first date would need to take into account over a 4 month period):
1/(first/latest) = 2010-03 = 1/(1264.91/1349.14) = 1.0666
1/(next/latest) = 2010-07 = 1/(1218.30/1349.14) = 1.1074
1/(next/latest) = 2010-11 = 1/(1275.60/1349.14) = 1.0577
1/(current/latest) = 2011-03 = 1/(1349.14/1349.14) = 1.0000
Total = 1.0666 + 1.1074 + 1.0577 + 1 = 4.2317
That major issues I'm having are two fold:
1. how to use the user.start-date value for each user to pick the first(benchmark.value) based ont he year and the month (day is unimportant).
2. how to iteratively calculate the formula up to and including the latest value in the bench table - at the end of april, a new row with id=16 would be added and if this were run then the April value would become the last value used in the calculation.
As I'm learning SQL And PHP right now I'm not sure which parts of this process should be done in SQL and which in PHP.
Any and all help would be greatly appreciated as I'm determined to figure this out.
That major issues I'm having are two fold:
how to use the user.start-date value
for each user to pick the
first(benchmark.value) based on the
year and the month (day is
unimportant).
how to iteratively calculate the
formula up to and including the
latest value in the bench table - at
the end of april, a new row with
id=16 would be added and if this
were run then the April value would
become the last value used in the
calculation.
As I'm learning SQL And PHP right now I'm not sure which parts of this process should be done in SQL and which in PHP.
Any and all help would be greatly appreciated as I'm determined to figure this out.
Just for reference, I've been reading:
http://dev.mysql.com/doc/refman/5.1/en/date-and-time-functions.html
http://www.databasejournal.com/features/mssql/article.php/10894_2191631_3/Working-with-SQL-Server-DateTime-Variables.htm
There were more but it won't let me post the other links yet...
There's almost too much info out there, so some guided advice would be realy appreciated. Thanks again.
I wouldn't include the column bench-value in table A. This value will be constantly changing, so it would be better to create a View that would calculate the latest User bench-value or create a stored procedure that takes a User as a parameter and then returns the bench-value
There also needs to be a link/key between the two tables, right now there is no way to tell which user is related to which benchmark
Wow, what a well asked question. Sadly my reply maybe a lot shorter.
What I think you're looking for is:
bob's current bench value today = the
sum of:
first(benchmark.value)/latest(benchmark.value)
First date = 2011-01 which is id 13 =
1337.07 Latest date = 2011-03 which is id 15 = 1349.14
select username, start_date, tmp.value/tmp2.value as new_mark from tablea
join (select id,value from tableb having id=min(id) group by id) as tmp
on tablea.id=tmp.id
join (select id,value from tableb having id=max(id) group by id) as tmp2
on tablea.id=tmp2.id
That seems ugly but should work.

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