I have table with 250,000 records. There is one SP where I am getting those records as per paging. Along with paging I need to get the total record count as well. But when I add COUNT(1) Over() in SP it is taking time. And when I remove it with hardcoded value as 100 then SP results are coming in 1 sec. Is there any other way to get total records count?
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I have a huge table in my database and a stored procedure accessing it, which needs pagination.
To achieve this I want total records of the table, and for that, I am facing performance issue because for doing that I need to run this query twice:
First time to get count for all records
Secondly when I need to select records in that page range
Is there any way I can avoid the first query for getting the total count instead of I can use row count or something else?
One way to do it would be something like this:
SELECT
(your list of columns),
COUNT(*) OVER ()
FROM
dbo.YourTable
ORDER BY
(whatever column you want to order by)
OFFSET x ROWS FETCH NEXT y ROWS ONLY;
With the OFFSET / FETCH, you retrieve only a page of data - and the COUNT(*) OVER() will give you the total count of the rows in the table - all in a single query
I am using sql server 2012. I have one table, contains 1.7 million records. I am just selecting all record using (select * from table_name). But it takes 1 Hour 2 minutes to fetch.
What should i do to fetch records quickly?
All you can do is limit your Result by Using
Top(100) Result or Where Clause Your Desired Data instead of
SELECT * FROM table
This will help you get only concerning and limited data in a less amount of time.
Another thing you can do is to Get Concerning columns only which gives you desired results.
This will significantly enhance the fetching time.
I have a query as following:
SELECT Brand,Id,Model FROM product
Which takes time in order of seconds as Product table has more than 1 million records.
But the query executes within no time. (less than even one second))
select count(*) as numberOfRows from (SELECT Brand,Id,Model FROM product) result
Why is that?
When you execute a Query, the Time taken will vary depending on the Number of Columns and Rows and their datatypes.
In a table where you have 10 Columns, The Performance will be different if you select all columns (*) for all records and Just 1 or Two Columns for All records.
Because The Amount of data loaded is less in the Second case, it will execute faster.
Just like that, When you say Count(*) the result is Just a single Cell whereas in your first Select, you are selecting Millions of rows for those 3 columns, So the amount of Data is high.
That's why you are getting the Count(*) result faster. You don't need to give * inside the count, Instead Just use Count(1) for even more better performance.
I need to get the total no of records in a table for pagination purpose..it has some around 1 million records...the count is calculated as part of page load..i can do count query but it takes little more time thus increasing the time to page load.So to avoid that i have used
select ROW_NUMS,OWNER from ALL_TABLES where table_name='table1'
But the problem is that this query for some tables gives result as zero and also sometimes the count is not correct(different from count query)
any idea how to update the all_tables data for a table and how all_table
If You want the exact number of records in a table, You need to select count(*). This result will be correct. NUM_ROWS has never been to provide the exact number of rows.
You can gather the table, but this will give you the estimate count.
exec dbms_stats.gather_table_stats('<OWNER>', '<TABLE_NAME>');
To get an accurate row count you can get the database to do the heavy lifting before it sends the data to the client, e.g.:
SELECT t.*
,COUNT(*) OVER () AS row_count
FROM my_table t;
You need to run ANALYZE statement to properly update that column
I am querying my table to achieve pagination but I do not know the total number of rows in the table.
select name from table where id = 1 limit 0, 10
Is there a way to find out the total number of rows that would have returned if I had not used limit clause without querying for total count.
SQLite computes results on the fly when they are actually needed.
The only way to get the total count is to run the actual query (or better, SELECT COUNT(*)) without the LIMIT.
Depends on which back end technology you are using. In PHP, mysql_num_rows() returns number of rows without actually fetching the data.