select * transform row value as table column name - mysql

I am trying to transform row value as column name. After searching on stackoverflow I learned that it can be done by using GROUP_CONCAT(). I tried it but no result.
what I want??
i have a table like this :
id | staff_id_staff | leave_type_id_leave_type | days
1 | 41 | Casual | 7
2 | 41 | Earned | 1
3 | 41 | Sick | 4
and want result like this:
Casual | Earned | Sick
7 | 1 | 4
Please note: I dont know the value of leave_type_id_leave_type (it will be anything)
Here is the code of leave_remain table:
CREATE TABLE IF NOT EXISTS `leave_remain` (
`id_leave_remain` int(11) NOT NULL AUTO_INCREMENT,
`staff_id_staff` int(11) NOT NULL,
`leave_type_id_leave_type` int(11) NOT NULL,
`days` float DEFAULT NULL,
`updated` date DEFAULT NULL,
PRIMARY KEY (`id_leave_remain`),
UNIQUE KEY `leave_type_id_leave_type_UNIQUE` (`leave_type_id_leave_type`),
KEY `fk_leave_remain_staff1` (`staff_id_staff`),
KEY `fk_leave_remain_leave_type1` (`leave_type_id_leave_type`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=108 ;
--
-- Dumping data for table `leave_remain`
--
INSERT INTO `leave_remain` (`id_leave_remain`, `staff_id_staff`, `leave_type_id_leave_type`, `days`, `updated`) VALUES
(82, 41, 16, 16, '2013-02-04'),
(89, 41, 17, 178, '2013-02-06'),
(107, 41, 18, 0, '2013-02-04');

See you need to work on something similar to this query:
SELECT GROUP_CONCAT(CONVERT(leave_type_id_leave_type,char(10)))
FROM leave_remain
GROUP BY staff_id_staff
UNION
SELECT GROUP_CONCAT(CONVERT(days,char(10)))
FROM leave_remain
GROUP BY staff_id_staff
Check demo on SqlFiddle

Try the below code
SELECT
max(DECODE(leave_type_id_leave_type,'Casual',days)) Casual,
max(DECODE(leave_type_id_leave_type,'Earned',days)) Earned,
max(DECODE(leave_type_id_leave_type,'Sick',days)) Sick
FROM table_name;

select leave_type_id_leave_type,days,
count(case when leave_type_id_leave_type = 'Casual' THEN 1 END) Casual,
count(case when leave_type_id_leave_type = 'Earned' THEN 1 END) Earned,
count(case when leave_type_id_leave_type = 'Sick' THEN 1 END) Sick
from leave_remain GROUP BY id_leave_remain
See SqlFiddle

Related

LIMIT number of rows in a JOIN between MySQL tables

What I have
I have the following two tables in a MySQL database (version 5.6.35).
CREATE TABLE `Runs` (
`Name` varchar(200) NOT NULL,
`Run` varchar(200) NOT NULL,
`Points` int(11) NOT NULL
) DEFAULT CHARSET=latin1;
INSERT INTO `Runs` (`Name`, `Run`, `Points`) VALUES
('John', 'A08', 12),
('John', 'A09', 3),
('John', 'A01', 15),
('Kate', 'A02', 92),
('Kate', 'A03', 1),
('Kate', 'A04', 33),
('Peter', 'A05', 8),
('Peter', 'A06', 14),
('Peter', 'A07', 5);
CREATE TABLE `Users` (
`Name` varchar(500) NOT NULL,
`NumberOfRun` int(11) NOT NULL
) DEFAULT CHARSET=latin1;
INSERT INTO `Users` (`Name`, `NumberOfRun`) VALUES
('John', 2),
('Kate', 1),
('Peter', 3);
ALTER TABLE `Runs`
ADD PRIMARY KEY (`Run`);
What is my target
John have Users.NumberOfRun=2, so I will extract the 2 top records from Runs table
Kate have Users.NumberOfRun=1, so I will extract the 1 top record from Runs table
Peter have Users.NumberOfRun=3, so I will extract the 3 top records from Runs table
I would like to came to the following result
+-------+-----+--------+
| Name | Run | Points |
+-------+-----+--------+
| John | A01 | 15 |
| John | A08 | 12 |
| Kate | A02 | 92 |
| Peter | A06 | 14 |
| Peter | A05 | 8 |
| Peter | A07 | 5 |
+-------+-----+--------+
What I have tried
First of all, if it was SQL Server I would use ROW_NUMBER() OVER (PARTITION BY ... ORDER BY ) AS [rn] function to the Runs table and then make a JOIN with the Users table on Users.NumberOfRun<=[rn].
I have read this document but it seems that PARTITONING in MySQL it is available since version 8.X, but I am using the 5.6.X version.
Finally, I have tried this query, based on this Stackoverflow answer:
SELECT t0.Name,t0.Run
FROM Runs AS t0
LEFT JOIN Runs AS t1 ON t0.Name=t1.Name AND t0.Run=t1.Run AND t1.Points>t0.Points
WHERE t1.Points IS NULL;
but it doesn't give me the row number, which is essentially for me to make a JOIN as described above.
SQL Fiddle to this example.
A combination of 'group_concat' and 'find_in_set', followed by the filtering using the position returned by 'find_in_set' will do the job for you.
GROUP_CONCAT will sort the data in descending order of points first.
GROUP_CONCAT(Run ORDER BY Points DESC)
FIND_IN_SET will then retrieve the number of rows you want to include in the result.
FIND_IN_SET(Run, grouped_run) BETWEEN 1 AND Users.NumberOfRun
The below query should work for you.
SELECT
Runs.*
FROM
Runs
INNER JOIN (
SELECT
Name, GROUP_CONCAT(Run ORDER BY Points DESC) grouped_run
FROM
Runs
GROUP BY Name
) group_max ON Runs.Name = group_max.Name
INNER JOIN Users ON Users.Name = Runs.Name
WHERE FIND_IN_SET(Run, grouped_run) BETWEEN 1 AND Users.NumberOfRun
ORDER BY
Runs.Name Asc, Runs.Points DESC;

JOIN query in MySQL produces wrong result

I have two tables complaints and complaints_reply in my MySQl database. Users can add complaints which are stored in complaints the complaints reply are stored in complaints_reply table. I am trying to JOIN both these table contents on a specific condition. Before I mention what I am trying to get and the problem I faced, I will explain the structure of these two tables first.
NB: The person who adds complaints is complaint owner & person who adds a complaint reply is complaint replier. Complaint owner can also add replies. So he can either be the complaint owner or the complaint replier. The two tables have a one-to-many relationship. A complaint can have more than one complaint reply. member_id in complaint table represents complaint owner & mem_id in complaints_reply represent complaint replier
DESIRED OUTPUT:
Join the two tables and fetch values and show the complaint and complaint’s reply as a single result set. But the condition is kinda tricky. The last added complaint reply from the complaints_reply table should be fetched for the complaint in complaints table in such a way that the complaint owner should not be the complaint replier. I use posted_date & posted_time from complaints_reply table to fetch the last added complaint reply for a complaint & that complaint replier has to be shown in the result set.
So, from the sample data the tables contain now, the output that I should get is:
+------+---------+----------+-------------+-------------------+
| id | title |member_id |last_replier |last_posted_dt |
+------+---------+----------+-------------+-------------------+
| 1 | x | 1000 |2002 | 2015-05-2610:11:17|
| 2 | y | 1001 |1000 | 2015-05-2710:06:16|
+------+---------+----------+-------------+-------------------+
But what I got is:
+------+---------+----------+-------------+-------------------+
| id | title |member_id |last_replier |last_posted_dt |
+------+---------+----------+-------------+-------------------+
| 1 | x | 1000 |1001 | 2015-05-2610:11:17|
| 2 | y | 1001 |2000 | 2015-05-2710:06:16|
+------+---------+----------+-------------+-------------------+
The date is correct, but the returned complaint replier last_replier is wrong.
This is my query.
SELECT com.id,
com.title,
com.member_id,
last_comp_reply.last_replier,
last_comp_reply.last_posted_dt
FROM complaints com
LEFT JOIN
(SELECT c.id AS complaint_id,
c.member_id AS parent_mem_id,
cr.mem_id AS last_replier,
max(cr.posted_dt) AS last_posted_dt
FROM
(SELECT cr.complaint_id,cr.mem_id,c.id,c.member_id,(CONCAT(cr.posted_date,cr.posted_time)) AS posted_dt
FROM complaints_reply cr,
complaints c
WHERE cr.complaint_id=c.id
AND cr.mem_id!=c.member_id
GROUP BY cr.complaint_id,
cr.mem_id,
posted_dt)cr,
complaints c
WHERE cr.complaint_id=c.id
GROUP BY cr.complaint_id,
c.id,
c.member_id) AS last_comp_reply ON com.id=last_comp_reply.complaint_id
Table structure for table complaints
CREATE TABLE IF NOT EXISTS `complaints` (
`id` int(11) NOT NULL,
`title` varchar(500) NOT NULL,
`member_id` int(11) NOT NULL,
`posted_date` date NOT NULL,
`posted_time` time NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=3 ;
Indexes for table complaints
ALTER TABLE `complaints`
ADD PRIMARY KEY (`id`);
AUTO_INCREMENT for table complaints
ALTER TABLE `complaints`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
Dumping data for table complaints
INSERT INTO `complaints` (`id`, `title`, `member_id`, `posted_date`, `posted_time`) VALUES
(1, 'x', 1000, '2015-05-05', '02:06:15'),
(2, 'y', 1001, '2015-05-14', '02:08:10');
Table structure for table complaints_reply
CREATE TABLE IF NOT EXISTS `complaints_reply` (
`id` int(11) NOT NULL,
`complaint_id` int(11) NOT NULL,
`comments` text NOT NULL,
`mem_id` int(11) NOT NULL,
`posted_date` date NOT NULL,
`posted_time` time NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=10 ;
Indexes for table complaints_reply
ALTER TABLE `complaints_reply`
ADD PRIMARY KEY (`id`);
AUTO_INCREMENT for table complaints_reply
ALTER TABLE `complaints_reply`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=10;
Dumping data for table complaints_reply
INSERT INTO `complaints_reply` (`id`, `complaint_id`, `comments`, `mem_id`, `posted_date`, `posted_time`) VALUES
(1, 1, 'reply1', 2000, '2015-05-08', '02:07:08'),
(2, 1, 'reply2', 2001, '2015-05-06', '06:05:08'),
(3, 1, 'reply3', 1000, '2015-05-14', '02:12:13'),
(4, 2, 'hola', 1000, '2015-05-27', '10:06:16'),
(5, 2, 'hello', 2000, '2015-05-04', '03:09:09'),
(6, 2, 'gracias', 1001, '2015-05-31', '06:12:18'),
(7, 1, 'reply4', 1001, '2015-01-04', '04:08:12'),
(8, 2, 'puta', 1001, '2015-06-13', '06:12:18'),
(9, 1, 'reply5', 1000, '2015-06-01', '04:08:12'),
(10, 1, 'reply next', 2002, '2015-05-26', '10:11:17');
P.S.
To give an idea about what my query is all about, I'll explain the sub query that is used to combine the tables & give result based on the condition: complaint owner should not be the complaint replier is:
SELECT cr.complaint_id,
cr.mem_id,
c.id,
c.member_id,
(CONCAT(cr.posted_date,cr.posted_time)) AS posted_dt
FROM complaints_reply cr,
complaints c
WHERE cr.complaint_id=c.id
AND cr.mem_id!=c.member_id
GROUP BY cr.complaint_id,
cr.mem_id,
posted_dt
And the result for this is:
+--------------+---------+----------+-------------+-------------------+
| complaint_id | mem_id | id |member_id | posted_dt |
+--------------+---------+------- +-------------+-------------------+
| 1 | 1001 | 1 |1000 | 2015-01-0404:08:12|
| 1 | 2000 | 1 |1000 | 2015-05-0802:07:08|
| 1 | 2001 | 1 |1000 | 2015-05-0606:05:08|
| 1 | 2002 | 1 |1000 | 2015-05-2610:11:17|
| 2 | 1000 | 2 |1001 | 2015-05-2710:06:16|
| 2 | 2000 | 2 |1001 | 2015-05-0403:09:09|
+--------------+---------+----------+-------------+-------------------+
member_id here represents complaint owner and mem_id represents complaint replier
The inner query gives the result based on the condition, then everything after this goes haywire. I don't know where I made mistake. The complaint replies added by complaint owner is not fetched in this table. So far so good. Is there any alternative way to get the result from here?
This query gives the result.
SELECT com.id AS complaint_id,
com.member_id AS parent_mem_id,
crep.mem_id AS last_replier,
crl.last_posted_dt
FROM complaints com
LEFT JOIN complaints_reply crep ON com.id=crep.complaint_id
JOIN
(SELECT cr.complaint_id,
max(CONCAT(cr.posted_date,'_',cr.posted_time)) AS last_posted_dt
FROM complaints_reply cr,
complaints c
WHERE cr.complaint_id=c.id
AND cr.mem_id!=c.member_id
GROUP BY cr.complaint_id)crl ON CONCAT(crep.posted_date,'_',crep.posted_time)=crl.last_posted_dt
AND crep.complaint_id=crl.complaint_id

How do I get a left join with a group by clause to return all the rows?

I am trying to write a query to determine how much of my inventory is committed at a given time, i.e. current, next month, etc.
A simplified example:
I have an inventory table of items. I have an offer table that specifies the customer, when the offer starts, and when the offer expires. I have a third table that associates the two.
create table inventory
(id int not null auto_increment , name varchar(32) not null, primary key(id));
create table offer
(id int not null auto_increment , customer_name varchar(32) not null, starts_at datetime not null, expires_at datetime, primary key (id));
create table items
(id int not null auto_increment, inventory_id int not null, offer_id int not null, primary key (id),
CONSTRAINT fk_item__offer FOREIGN KEY (offer_id) REFERENCES offer(id),
CONSTRAINT fk_item__inventory FOREIGN KEY (inventory_id) REFERENCES inventory(id));
create some inventory
insert into inventory(name)
values ('item 1'), ('item 2'),('item 3');
create two offers for this month
insert into offer(customer_name, starts_at)
values ('customer 1', DATE_FORMAT(NOW(), '%Y-%m-01')), ('customer 2', DATE_FORMAT(NOW(), '%Y-%m-01'));
and one for next month
insert into offer(customer_name, starts_at)
values ('customer 3', DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL 1 MONTH), '%Y-%m-01'));
Now add some items to each offer
insert into items(inventory_id, offer_id)
values (1,1), (2,1), (2,2), (3,3);
What I want is a query that will show me all the inventory and the count of the committed inventory for this month. Inventory would be considered committed if the starts_at is less than or equal to now, and the offer has not expired (expires_at is null or expires_at is in the future)
The results I would expect would look like this:
+----+--------+---------------------+
| id | name | committed_inventory |
+----+--------+---------------------+
| 1 | item 1 | 1 |
| 2 | item 2 | 2 |
| 3 | item 3 | 0 |
+----+--------+---------------------+
3 rows in set (0.00 sec)
The query that I felt should work is:
SELECT inventory.id
, inventory.name
, count(items.id) as committed_inventory
FROM inventory
LEFT JOIN items
ON items.inventory_id = inventory.id
LEFT JOIN offer
ON offer.id = items.offer_id
WHERE (offer.starts_at IS NULL OR offer.starts_at <= NOW())
AND (offer.expires_at IS NULL OR offer.expires_at > NOW())
GROUP BY inventory.id, inventory.name;
However, the results from this query does not include the third item. What I get is this:
+----+--------+---------------------+
| id | name | committed_inventory |
+----+--------+---------------------+
| 1 | item 1 | 1 |
| 2 | item 2 | 2 |
+----+--------+---------------------+
2 rows in set (0.00 sec)
I cannot figure out how to get the third inventory item to show. Since inventory is the driving table in the outer joins, I thought that it should always show.
The problem is the where clause. Try this:
SELECT inventory.id
, inventory.name
, count(offers.id) as committed_inventory
FROM inventory
LEFT JOIN items
ON items.inventory_id = inventory.id
LEFT JOIN offer
ON offer.id = items.offer_id and
(offer.starts_at <= NOW() or
offer.expires_at > NOW()
)
GROUP BY inventory.id, inventory.name;
The problem is that you get a matching offer, but it isn't currently valid. So, the where clause fails because the offer dates are not NULL (there is a match) and the date comparison fails because the offer is not current ly.
For item 3 the starts_at from offer table is set to March, 01 2014 which is greater than NOW so (offer.starts_at IS NULL OR offer.starts_at <= NOW()) condition will skip the item 3 record
See fiddle demo

Unable to INSERT ON DUPLICATE KEY UPDATE from another query

I am working on the following table:
CREATE TABLE `cons` (
`Id` char(20) NOT NULL,
`Client_ID` char(12) NOT NULL,
`voice_cons` decimal(11,8) DEFAULT '0.00000000',
`data_cons` int(11) DEFAULT '0',
`day` date DEFAULT NULL,
PRIMARY KEY (`Id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
I need to get some data from another table, cdr, which contains a row per event. This means every call or data connection has its own row.
+-----------+--------------+----------------+-------+
| Client_ID | Data_Up_Link | Data_Down_Link | Price |
+-----------+--------------+----------------+-------+
| 1 | 23 | 56 | 0 |
| 1 | 12 | 3 | 0 |
| 1 | 0 | 0 | 5 |
+-----------+--------------+----------------+-------+
I need to compute the total voice and data consumption for each Client_ID in my new cons table, but just keeping a single record for each Client_ID and day. To keep the question simple, I will consider just one day.
+-----------+-----------+------------+
| Client_ID | data_cons | voice_cons |
+-----------+-----------+------------+
| 1 | 94 | 5 |
+-----------+-----------+------------+
I have unsuccessfully tried the following, among many other (alias, .
insert into cons_day (Id, Client_ID, voice_cons, MSISDN, day)
select
concat(Client_ID,date_format(date,'%Y%m%d')),
Client_ID,
sum(Price) as voice_cons,
date as day
from cdr
where Type_Cdr='VOICE'
group by Client_ID;
insert into cons_day (Id, Client_ID, data_cons, MSISDN, day)
select
concat(Client_ID,date_format(date,'%Y%m%d')),
Client_ID,
sum(Data_Down_Link+Data_Up_Link) as data_cons,
Calling_Number as MSISDN,
date as day
from cdr
where Type_Cdr='DATA'
group by Client_ID
on duplicate key update data_cons=data_cons;
But I keep getting the values unchanged or receiving SQL errors. I would really appreciate a piece of advice.
Thank you very much in advance.
First of all it seems that Id column in cons table is absolutely redundant. You already have ClientID and Day columns. Just make them PRIMARY KEY.
That being said the proposed table schema might look like
CREATE TABLE `cons`
(
`Client_ID` char(12) NOT NULL,
`voice_cons` decimal(11,8) DEFAULT '0.00000000',
`data_cons` int(11) DEFAULT '0',
`day` date DEFAULT NULL,
PRIMARY KEY (`Client_ID`, `day`)
);
Now you can use conditional aggregation to get your voice_cons and data_cons in one go
SELECT Client_ID,
SUM(CASE WHEN Type_CDR = 'VOICE' THEN price END) voice_cons,
SUM(CASE WHEN Type_CDR = 'DATA' THEN Data_Up_Link + Data_Down_Link END) data_cons,
DATE(date) day
FROM cdr
GROUP BY Client_ID, DATE(date)
Note: you have to GROUP BY both by Client_ID and DATE(date)
Now the INSERT statement should look like
INSERT INTO cons (Client_ID, voice_cons, data_cons, day)
SELECT Client_ID,
SUM(CASE WHEN Type_CDR = 'VOICE' THEN price END) voice_cons,
SUM(CASE WHEN Type_CDR = 'DATA' THEN Data_Up_Link + Data_Down_Link END) data_cons,
DATE(date) day
FROM cdr
GROUP BY Client_ID, DATE(date)
ON DUPLICATE KEY UPDATE voice_cons = VALUES(voice_cons),
data_cons = VALUES(data_cons);
Note: since now you simultaneously get both voice_cons and data_cons you might not need ON DUPLICATE KEY clause at all if you don't process data for the same dates multiple times.
Here is SQLFiddle demo

MySQL NOT IN from another column in the same table

I want to run a mysql query to select all rows from a table films where the value of the title column does not exist anywhere in all the values of another column (collection).
Here is a simplified version of my table with content:
mysql> select * from films;
+----+--------------+--------------+
| id | title | collection |
+----+--------------+--------------+
| 1 | Collection 1 | NULL |
| 2 | Film 1 | NULL |
| 3 | Film 2 | Collection 1 |
+----+--------------+--------------+
Here is my query:
mysql> SELECT * FROM films WHERE title NOT IN (SELECT collection FROM films);
Empty set (0.00 sec)
In this example, I would want to select the rows with titles Film 1 and Film 2, but my query is returning no rows.
Here is the table structure:
CREATE TABLE `films` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(200) NOT NULL DEFAULT '',
`collection` varchar(200) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM;
SELECT *
FROM films
WHERE title NOT IN (SELECT collection FROM films where collection is not null);
SQLFiddle: http://sqlfiddle.com/#!2/76278/1
Have you tried using NOT EXISTS:
SELECT *
FROM films f1
WHERE NOT EXISTS (SELECT collection
FROM films f2
WHERE f1.title = f2.collection);
See SQL Fiddle with Demo
If you want to use IN then you will want to look for values that are NOT NULL:
SELECT *
FROM films
WHERE title NOT IN (SELECT collection
FROM films
WHERE collection is not null);
See SQL Fiddle with Demo
The result for both is:
| ID | TITLE | COLLECTION |
------------------------------
| 2 | Film 1 | (null) |
| 3 | Film 2 | Collection 1 |
The problem with your current query is that -- stealing from #Quassnoi's answer here:
Both IN and NOT IN return NULL which is not an acceptable condition for WHERE clause.
Since the null value is being returned by your subquery you want to specifically exclude it.
Another option using an outer join
SELECT f.*
FROM films f LEFT OUTER JOIN films ff
ON f.title = ff.collection
WHERE ff.collection IS NULL
Try this please:
SQLFIDDLE DEMO
Query:
select a.id, a.planid
from one a
left join one b
on a.planid <> b.iid
where not (b.iid is null)
group by b.id
;
Results: based on the sample table I used.
ID PLANID
t15 1
j18 2
EDIT TO ADD : HERE WITH OP SCHEMA
select b.id, b.title
from opschema b
inner join opschema a
on b.title <> a.collection
or b.collection <> a.title
group by b.id
;
OP SHCEMA SQLFIDDLE DEMO
ID TITLE
2 Film 1
3 Film 2
CREATE TABLE IF NOT EXISTS `reservation_tables` (
`res_table_id` int(10) NOT NULL AUTO_INCREMENT,
`res_table_name` int(10) NOT NULL,
`date_time` varchar(20) NOT NULL,
`partyhall_id` int(10) NOT NULL,
`flag` enum('0','1') NOT NULL DEFAULT '0',
PRIMARY KEY (`res_table_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=9 ;
INSERT INTO `reservation_tables` (`res_table_id`, `res_table_name`, `date_time`, `partyhall_id`, `flag`) VALUES
(1, 1, '2014-08-17 12:00 am', 7, '1'),
(2, 2, '2014-08-17 12:00 am', 7, '1'),
(3, 3, '2014-08-18 12:00 am', 8, '1'),
(4, 4, '2014-08-18 12:00 am', 8, '1'),
(5, 1, '2014-08-25 12:00 am', 12, '1'),
(6, 2, '2014-08-25 12:00 am', 12, '1'),
(7, 3, '2014-08-20 12:00 am', 23, '1'),
(8, 4, '2014-08-20 12:00 am', 23, '1');
Ι had to select available table name for matching date_time
Example select available table_name where date_time = 2014-08-18 12:00 am.
solution query is:
im sure this works well
SELECT distinct res_table_name FROM reservation_tables WHERE `res_table_name` NOT IN
(SELECT `res_table_name` FROM reservation_tables where `date_time` = '2014-08-17 12:00 am')