How to Select Records Only from Yesterday

How can I select records ONLY from yesterday?

Use:

AND oh.tran_date BETWEEN TRUNC(SYSDATE - 1) AND TRUNC(SYSDATE) - 1/86400

Reference: TRUNC

Calling a function on the tran_date means the optimizer won't be able to use an index (assuming one exists) associated with it. Some databases, such as Oracle, support function based indexes which allow for performing functions on the data to minimize impact in such situations, but IME DBAs won't allow these. And I agree - they aren't really necessary in this instance.

Select records between yesterday and today

You need to add the variable date values and the fixed time value.

Date/Time constants can be fickle with all the different local formats. With TimeSerial we can avoid this:

SELECT * 
FROM [Table]
WHERE [Table].[Date Time] Between Date()-1 + TimeSerial(18,0,0) 
                              And Date()   + TimeSerial(18,0,0)

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(First suggestion, works with German date format)

SELECT * 
FROM [Table]
WHERE [Table].[Date Time] Between Date()-1 + #18:00:00# And Date() + #18:00:00#

The query designer may automatically change this into

Between Date()-1 + #12/30/1899 18:00:00# And Date() + #12/30/1899 18:00:00#

1899-12-30 is "Date zero" in Access.

All MySQL records from yesterday

Since you're only looking for the date portion, you can compare those easily using MySQL's DATE() function.

SELECT * FROM table WHERE DATE(created_at) = DATE(NOW() - INTERVAL 1 DAY);

Note that if you have a very large number of records this can be inefficient; indexing advantages are lost with the derived value of DATE(). In that case, you can use this query:

SELECT * FROM table
    WHERE created_at BETWEEN CURDATE() - INTERVAL 1 DAY
        AND CURDATE() - INTERVAL 1 SECOND;

This works because date values such as the one returned by CURDATE() are assumed to have a timestamp of 00:00:00. The index can still be used because the date column's value is not being transformed at all.

MySql select record only form yesterday

Your condition is wrong. It should be the following:

date >= CURDATE() - INTERVAL 1 DAY AND date < CURDATE()

CURDATE() - INTERVAL 1 DAY -> date of yesterday.

In order to select records of yesterday only you can use the condition given above or the condition given below:

date = CURDATE() - INTERVAL 1 DAY

SQL statement to select all rows from previous day

get today no time:

SELECT dateadd(day,datediff(day,0,GETDATE()),0)

get yestersday no time:

SELECT dateadd(day,datediff(day,1,GETDATE()),0)

query for all of rows from only yesterday:

select 
    * 
    from yourTable
    WHERE YourDate >= dateadd(day,datediff(day,1,GETDATE()),0)
        AND YourDate < dateadd(day,datediff(day,0,GETDATE()),0)

sql query to get today new records compared with yesterday

Here is a solution that will go over the base data one time only. It selects the id and the date where the date is either yesterday or today (or both). Then it GROUPS BY id - each group will have either one or two rows. Then it filters by the condition that the MIN date in the group is "today". Those are the id's that exist today but did not exist yesterday.

DATE is an Oracle keyword, best not used as a column name. I changed that to DT. I also assume that your "dt" field is a pure date (as pure as it can be in Oracle, meaning: time of day, which is always present, is 00:00:00).

select   id
from     your_table
where    dt in (trunc(sysdate), trunc(sysdate) - 1)
group by id
having   min(dt) = trunc(sysdate)
;

Edit: Gordon makes a good point: perhaps you may have more than one such row per ID, in the same day? In that case the time-of-day may also be different from 00:00:00.

If so, the solution can be adapted:

select   id
from     your_table
where    dt >= trunc(sysdate) - 1 and dt < trunc(sysdate) + 1
group by id
having   min(dt) >= trunc(sysdate)
;

Either way: (1) the base table is read just once; (2) the column DT is not wrapped within any function, so if there is an index on that column, it can be used to access just the needed rows.

Select rows from yesterday's date

I would imagine it would look something like this, which has the advantage of using indexes (if you have them implemented)

SELECT pdate FROM table 1
WHERE pdate >= Date(NOW()) - INTERVAL 1 DAY
AND pdate < Date(NOW())

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