I have some problem to get previous day of the record from the database. My table look like this :
id total trx_date
1 | 100 | 2019-05-13 04:03:03 |
2 | 200 | 2019-05-13 14:13:48 |
3 | 300 | 2019-05-12 10:23:37 |
4 | 100 | 2019-05-10 12:14:14 | <<<<<<<<<<<
5 | 200 | 2019-05-10 15:23:38 |
6 | 400 | 2019-05-10 19:33:56 |
I'm able to take the previous date if there's no gap between the date, but I'm failed to get the previous date if there's no record on the previous date.
My code :
$this->db->select("id, total, trx_date")
->from("trx_table")
->where('date(trx_date)', date('Y-m-d', strtotime('-1 day')) )
->order_by("id","DESC")
->get();
So I expect to get the previous day of the record, not the previous day of the current date. Can you guys help me to resolve this issue?
Thank you
Select dates earlier than today, but sort them descending and get only one. This will return the latest date earlier than today:
SELECT id, total, trx_date
FROM trx_table
WHERE trx_date < NOW()
ORDER BY trx_date DESC
LIMIT 1
Related
I'm trying to get Sale Data of every month of particular year, but I'm having a problem building a query for it.
Here is What I've tried
SELECT COUNT(`id`) AS `total_order`
FROM orders
WHERE date BETWEEN ? AND ?
GROUP BY `total_order`
HERE is How my table look like
----------------------------------------
| id | item_name | amount | time |
| 21 | item_1 | 10 | 1506675630 |
| 22 | item_2 | 30 | 1506675630 |
| 23 | item_3 | 70 | 1506675630 |
| 24 | item_4 | 100 | 1506675630 |
----------------------------------------
Now here is what i want from the query
1 - Total Sales amount made from the beginning of the year till today.
2 - Sales made Today
3 - Sales made in Last Month
4 - Sales Made in Last 3 month
5 - Sales Made in Last 6 Month
6 - Total Number of Sales made in every month of this particular year
for e.g -
January - 20
Feb -100
March - 200 & so on.
How can i achieve this complex query?
SELECT `id` AS `Order_Number`, item_name, SUM(Amount)
FROM orders
WHERE time >= '01/01/17'
GROUP BY date
That would give you your first result. Try the others and let me know what you get
This answers your first question
SELECT
DATE_FORMAT(FROM_UNIXTIME(time), '%Y-%m') as interval,
COUNT(*) AS sales_made,
SUM(amount) AS sales_amount
FROM orders
WHERE
time BETWEEN UNIX_TIMESTAMP('2017-01-01') AND UNIX_TIMESTAMP('2018-01-01')
GROUP BY 1
ORDER BY 1;
Here is what i think would work:
for the first 5 queries try something like this.
SELECT SUM(amount)
FROM orders
WHERE DATE_FORMAT(FROM_UNIXTIME(`orders.time`), '%Y-%m-%d') BETWEEN ? AND ?
And for the last one you'll need :
SELECT DATE_FORMAT(FROM_UNIXTIME(`orders.time`), '%Y-%m-%d') AS 'date', SUM(amount)
FROM orders
WHERE date between ? AND ?
GROUP BY DATE_FORMAT(date, '%Y%m')
You can try without the FROM_UNIXTIME if it doesnt work.
I want to be able to contrast "last weeks" data against "this weeks" data and get the percent change. (i.e. +1.2% or -.5%)
Here's an example of the MySQL table:
Date | Happy | Sad | Angry | Fearful
2016-04-01 | 2 | 1 | 3 | 0
2016-04-02 | 3 | 1 | 3 | 1
2016-04-03 | 0 | 4 | 1 | 2
2016-04-04 | 1 | 3 | 2 | 1
So pretending that there are at least 14 rows here how would I go about getting the average of the first 7 days, the average of the previous 7 days, and then creating the comparison that shows the percentage difference?
I can get the most recent 7 days averages with the code below, but when I try and repeat it and change the offset it fails:
SELECT AVG(happy), AVG(sad), AVG(angry), AVG(fearful)
FROM table_name
LIMIT 0, 7
Use subqueries to calculate the averages for each week, using date ranges, and join them.
SELECT curWeek.happy AS curHappy, curWeek.sad AS curSad, curWeek.angry AS curAngry, curWeek.fearful AS curFearful,
prevWeek.happy AS prevHappy, prevWeek.sad AS prevSad, prevWeek.angry AS prevAngry, prevWeek.fearful AS prevFearful,
100*(curWeek.happy - prevWeek.happy)/prevWeek.happy AS happyChange,
100*(curWeek.sad - prevWeek.sad)/prevWeek.sad AS sadChange,
100*(curWeek.angry - prevWeek.angry)/prevWeek.angry AS angryChange,
100*(curWeek.fearful - prevWeek.fearful)/prevWeek.fearful AS fearfulChange
FROM (SELECT AVG(happy) AS happy, AVG(sad) AS sd, AVG(angry) AS angry, AVG(fearful) AS fearful
FROM tablename
WHERE date > NOW() - INTERVAL 1 WEEK) AS curWeek
JOIN (SELECT AVG(happy) AS happy, AVG(sad) AS sd, AVG(angry) AS angry, AVG(fearful) AS fearful
FROM tablename
WHERE date BETWEEN NOW() - INTERVAL 2 WEEK AND NOW() - INTERVAL 1 WEEK) AS prevWeek
This is a question, which I could not find answer to anywhere. Okay. here it is.
I have two date ranges (This month and the last month)
Last month - 01/01/2015 (January 1 2015) to 31/01/2015
This month - 01/02/2015 (1st Feb 2015) to 28/02/2015
Now, each month has weeks. I have a table with column created_at. I want to fetch all the records week-wise into an array (to plot a graph) with their corresponding sum(value) or count(value) .
So it will be something like this:
Last Month:
Week 1 - 25
Week 2 - 34
etc.
This Month:
Week 1: 55
Week 2: 56
etc.
The date is in this format in created_at: 2015-07-21 01:27:14 (Y-m-d H:i:s)
In MySql You can use WEEK() to get the number of the week (from 1 to 53)
O you can use WEEKDAY() or DAYOFWEEK() the first bigins on Monday the second on Sunday.
You can use them into a GROUP BY with HAVING
Something like:
SELECT count(*)
FROM `YourTable`
WHERE `created_at` >= '2015-10-01' AND `created_at`< '2015-11-01'
GROUP BY WEEK(`created_at`)
To use the workaround you found You need to do something similar:
create a table named "numbers" with a field "id" (autoincrement) and 31 rows (one for each day of a month)
Then use a query like this:
SELECT count(i.created_at)
FROM
(SELECT DATE_FORMAT(DATE_ADD('2015-12-01', INTERVAL -n.id DAY), '%Y-%m-%d') AS AllDays
FROM numbers n) AS DaysOfMonth
Left Join
YourTableName i
ON STR_TO_DATE(i.created_at, '%Y-%m-%d') = DaysOfMonth.AllDays
GROUP BY WEEK(AllDays)
(try to adapt it to your needs)
What you need to do is group by the week and then sum the values. Here's a simple example of how it might work:
SELECT DATE_FORMAT(created_at,'%Y-%V') as interval, SUM(units_sold) as total_sold
FROM sales
GROUP BY DATE_FORMAT(created_at,'%Y-%V')
What you'll be getting is the year ant week number (ex. 2015-50) and the sum from that interval.
A table like this:
+----+------------+---------------------+
| id | units_sold | created_at |
+----+------------+---------------------+
| 1 | 2 | 2015-01-01 09:00:00 |
| 2 | 4 | 2015-01-04 10:00:00 |
| 3 | 1 | 2015-01-12 12:00:00 |
| 4 | 4 | 2015-01-16 13:00:00 |
+----+------------+---------------------+
Would result to:
+----------+------------+
| interval | total_sold |
+----------+------------+
| 2015-01 | 6 |
| 2015-03 | 5 |
+----------+------------+
I think it is useful for you...
SELECT GROUP_CONCAT(id), COUNT(id) AS idcount,SUM(id) AS idsum,
MONTHNAME(order_created_date) AS month_name, WEEK(order_created_date)
AS weeks FROM orders GROUP BY WEEK(order_created_date)
i've a mysql table like this:
| ID | ID_period | date_start | date_end |
| 1 | 1 | 0000-07-01 | 0000-08-31 |
| 2 | 2 | 0000-09-01 | 0000-10-30 |
| 3 | 3 | 0000-11-01 | 0000-12-28 |
| 4 | 4 | 0000-11-01 | 0000-03-31 |
how can i select IDs that are included between this period 0000/07/14 - 0000/08/25 ?
date_start and date_end columns are DATE format.
THE PROBLEM is that if i search for a period (included and intersect) that is ie: from 0000-12-12 to 0000-01-25 i get 0 records from the select, i guess for the year that is '0000'.. how can i fix it ?
another problem is that if i search a period like 11-01 to 12-31 i got 0 results.. because last day od december in date_end is 28.. but if i search for a period 11-01 to 12-31 is because i want all the records included.. so i'd like to get the record having id=3 and id=4
at the moment im using the following query:
SELECT ... WHERE '12' BETWEEN MONTH(date_start) and MONTH(date_end)
AND '15' BETWEEN DAY(date_start) and DAY(date_end)
AND '03' BETWEEN MONTH(date_start) and MONTH(date_end)
AND '28' BETWEEN DAY(date_start) and DAY(date_end)
SELECT *
FROM mytable
WHERE date_start BETWEEN '0000-07-14' AND '0000-08-25'
OR date_end BETWEEN '0000-07-14' AND '0000-08-25'
OR (date_start<'0000-07-14' AND date_end>'0000-08-25')
I have a table with number of page views per day. Something like this:
+------+------------+------+----------+
| id | date | hits | mangaID |
+------+------------+------+----------+
| 4876 | 1331843400 | 132 | 13 |
+------+------------+------+----------+
| 4876 | 1331929800 | 24 | 236 |
+------+------------+------+----------+
| 7653 | 1331929800 | 324 | 13 |
+------+------------+------+----------+
I'm trying to get sum hits from last week with the below code:
SELECT sum(hits) as hits FROM om_manga_views WHERE DATE_SUB(CURDATE(),INTERVAL 1 week) <= date and mangaID = '13'
My problem is that I'm storing date as time using strtotime in date's field as int type.
So how can i get what i want!?
Try this:
select sum(hits) hitCount from t
where from_unixtime(date) >= current_date() - interval 1 week and mangaId = 11
Here is the fiddle to play with.
I slightly changed your data because the records you provided are older than 7 days, so the sum would return 0.