T-SQL queries can be written to retrieve records for specific dates, times, or dates and times. If a record was created between these two dates, it will be included in the query. In this article, we’ll explore how you can use a T-SQL query to find records for specific dates, ignoring the time. This is useful when you have records for a specific time period, but you don’t know which dates those records were created on. For example, if you have a list of customers and you want to find customers who registered from January to March, but you don’t know which dates each customer registered. For example, if you have a list of customers and you want to find customers who registered from January to March, but you don’t know which dates each customer registered.
Find Records for Specific Dates
To find records for specific dates, you’ll need to use the following syntax:
SELECT *
FROM table
WHERE datetimecolumn BETWEEN 'startdate' AND 'enddate';
This will find all records in the given date range. For example, if you wanted to find all customers who registered from January 1st to March 1st, you would use the SQL query:
SELECT *
FROM customer
WHERE register_time BETWEEN '01-01-2018 00:00:00' AND '03-01-2018 23:59:59';
or another simple way using datdiff function:
SELECT *
FROM sales
WHERE datediff(dd, salesDate, '20101111') = 0
How to Find Records for Specific Dates, Ignoring Time
To find records for specific dates, ignoring time, you can use the following SQL query.
SELECT *
FROM table_name
WHERE date
BETWEEN start_date AND end_date
For example, to find customers who registered from January to March, you would type the following SQL query in your database:
SELECT *
FROM customer
WHERE date
BETWEEN '1/1/2018' AND '3/31/2018'
Find all records created on specific days
If you want to find all records that were created on specific days, you need to create a query. To do this, you’ll need to use the DATEPART() function and specify which date column (or columns) you want the query to search through. For example, if you want to find all records from January 1st-March 31st, your SQL query would look like this:
SELECT *
FROM table
WHERE DATEPART(month,created_date) = 1 AND DATEPART(year,created_date) = 2017
This SQL query would return all records created in the specified time period. Optionally you can find things within the last day or two:
SELECT *
FROM table where DATEDIFF(dd, start_date , getdate()) = 0
And you obtain yesterday’s transactions by changing the 0 for today to a 1, the day before that’s transactions by changing the 0 for today to a 2, and so on. Change the equals to a less-than-or-equal-to if you want everything for the last week:
SELECT *
FROM table
WHERE DATEDIFF(dd, salesDate, getdate()) <= 7
Wrapping Up
SQL queries can be written to retrieve records for specific dates, times, or dates and times. If a record was created between these two dates, it will be included in the query. In this article, we’ll explore how you can use a SQL query to find records for specific dates, ignoring the time. This is useful when you have records for a specific time period, but you don’t know which dates those records were created on. For example, if you have a list of customers and you want to find customers who registered from January to March, but you don’t know which dates each customer registered.
The most common mistake with this type of query occurs when people forget to include the “to” operator (in English). Without the “to” operator, your query is going to end up returning all rows that are dated within the specified date range (from January 1st-March 25th), including those rows that were created previous years or before January 1st. It may sound obvious now that you’ve read it twice – but it’s not always so cut and dry!
On top of that, there are other types of mistakes that we’ve seen with this type of query: forgetting to change the table name in the FROM clause; forgetting to specify an order by clause; and forgetting about using parentheses around complex expressions. We hope this article has given you some insight into what causes SQL errors like these!