Separate Query for Count - sql

I am trying to get my query to grab multiple rows while returning the maximum count of that query.
My query:
SELECT *, COUNT(*) as Max FROM tableA LIMIT 0 , 30
However, it is only outputting 1 record.
I would like to return multiple record as it was the following query:
SELECT * FROM tableA LIMIT 0 , 30
Do I have to use separate queries?

Use separate queries.
It's two separate pieces of information with different structures. One is a row set, the other is a single value. Trying to return both these pieces of information in one query, while possible, is not a good idea.

Well, you can use a single query with the SQL_CALC_FOUND_ROWS function in it, with the use of LIMIT as well. So, while you run the first query through mysql_query(), you can then also run another query as:
mysql_query("SELECT FOUND_ROWS()");
which will return you the number of total rows found through that query (no matter you use the LIMIT or not, SELECT FOUND_ROWS() will give you the result count without the LIMIT mentioned in your query).
Following is a sample query:
SELECT SQL_CALC_FOUND_ROWS * FROM tbl_abc
Thanks

Related

Doing a quick count?

I already have my select query of data and I want a quick count of how many rows my select query will return. Is there a way to do this instead of taking out all my 'select fields' and replacing with Count(*)? My query has 58 lines of selected fields, and I don't want to have to take out all out to find the count (running this multiple times for different date ranges). I'm using Toad for Oracle, and I know the bottom has a print out but because the query has too many results (over 5000), I'm not sure how to quickly find the total count. Any suggestions?
This should do:
select count(*)
from (
INSERT-YOUR-QUERY-HERE
)
Alternatively you can put this in your select list:
COUNT(*) OVER ()

COUNT(DISTINCT) and COUNT(*) + GROUP BY give different results

We're querying one of data sets for unique IDs
SELECT count(distinct id) FROM [MyTable] LIMIT 1
Another query ran a similar command
SELECT count(*) From ( select id FROM MyTable group by id) A ;
The first command is more efficient, but the output should be identical. However, they are getting different results. The first query returns more results by about 1.5% of the dataset, of over 100 million rows.
COUNT(DISTINCT field) is just an estimate. If you need exact results you can use EXACT_COUNT_DISTINCT(field).
This is explained in the query reference: https://cloud.google.com/bigquery/query-reference?hl=en#countdistinct
Check COUNT([DISTINCT] field [, n]) definition
It is a statistical approximation and is not guaranteed to be exact.
The second query returns exact count, thus the difference

Get count and result from SQL query in Go

I'm running a pretty straightforward query using the database/sql and lib/pq (postgres) packages and I want to toss the results of some of the fields into a slice, but I need to know how big to make the slice.
The only solution I can find is to do another query that is just SELECT COUNT(*) FROM tableName;.
Is there a way to both get the result of the query AND the count of returned rows in one query?
Conceptually, the problem is that the database cursor may not be enumerated to the end so the database does not really know how many records you will get before you actually read all of them. The only way to count (in general case) is to go through all the records in the resultset.
But practically, you can enforce it to do so by using subqueries like
select *, (select count(*) from table) from table
and just ignore the second column for records other than first. But it is very rude and I do not recommend doing so.
Not sure if this is what you are asking for but you can call the ##Rowcount function to return the count of the previous select statement that has been executed.
SELECT mytable.mycol FROM mytable WHERE mytable.foo = 'bar'
SELECT ##Rowcount
If you want the row count included in your result set you can use the the OVER clause (MSDN)
SELECT mytable.mycol, count(*) OVER(PARTITION BY mytable.foo) AS 'Count' FROM mytable WHERE mytable.foo = 'bar'
You could also perhaps just separate two SQL statements with the a ; . This would return a result set of both statements executed.
You would used count(*)
SELECT count(distinct last)
FROM (XYZTable)
WHERE date(FROM_UNIXTIME(time)) >= '2013-10-28' AND
id = 90 ;

efficiently find subset of records as well as total count

I'm writing a function in ColdFusion that returns the first couple of records that match the user's input, as well as the total count of matching records in the entire database. The function will be used to feed an autocomplete, so speed/efficiency are its top concerns. For example, if the function receives input "bl", it might return {sampleMatches:["blue", "blade", "blunt"], totalMatches:5000}
I attempted to do this in a single query for speed purposes, and ended up with something that looked like this:
select record, count(*) over ()
from table
where criteria like :criteria
and rownum <= :desiredCount
The problem with this solution is that count(*) over () always returns the value of :desiredCount. I saw a similar question to mine here, but my app will not have permissions to create a temp table. So is there a way to solve my problem in one query? Is there a better way to solve it? Thanks!
I'm writing this on top of my head, so you should definitely have to time this, but I believe that using following CTE
only requires you to write the conditions once
only returns the amount of records you specify
has the correct total count added to each record
and is evaluated only once
SQL Statement
WITH q AS (
SELECT record
FROM table
WHERE criteria like :criteria
)
SELECT q1.*, q2.*
FROM q q1
CROSS JOIN (
SELECT COUNT(*) FROM q
) q2
WHERE rownum <= :desiredCount
A nested subquery should return the results you want
select record, cnt
from (select record, count(*) over () cnt
from table
where criteria like :criteria)
where rownum <= :desiredCount
This will, however, force Oracle to completely process the query in order to generate the accurate count. This seems unlikely to be what you want if you're trying to do an autocomplete particularly when Oracle may decide that it would be more efficient to do a table scan on table if :criteria is just b since that predicate isn't selective enough. Are you really sure that you need a completely accurate count of the number of results? Are you sure that your table is small enough/ your system is fast enough/ your predicates are selective enough for that to be a requirement that you could realistically meet? Would it be possible to return a less-expensive (but less-accurate) estimate of the number of rows? Or to limit the count to something smaller (say, 100) and have the UI display something like "and 100+ more results"?

total number of rows of a query

I have a very large query that is supposed to return only the top 10 results:
select top 10 ProductId from .....
The problem is that I also want the total number of results that match the criteria without that 'top 10', but in the same time it's considered unaceptable to return all rows (we are talking of roughly 100 thousand results.
Is there a way to get the total number of rows affected by the previous query, either in it or afterwords without running it again?
PS: please no temp tables of 100 000 rows :))
dump the count in a variable and return that
declare #count int
select #count = count(*) from ..... --same where clause as your query
--now you add that to your query..of course it will be the same for every row..
select top 10 ProductId, #count as TotalCount from .....
Assuming that you're using an ORDER BY clause already (to properly define which the "TOP 10" results are), then you could add a call of ROW_NUMBER also, with the opposite sort order, and pick the highest value returned.
E.g., the following:
select top 10 *,ROW_NUMBER() OVER (order by id desc) from sysobjects order by ID
Has a final column with values 2001, 2000, 1999, etc, descending. And the following:
select COUNT(*) from sysobjects
Confirms that there are 2001 rows in sysobjects.
I suppose you could hack it with a union select
select top 10 ... from ... where ...
union
select count(*) from ... where ...
For you to get away with this type of hack you will need to add fake columns to the count query so it returns the same amount of columns as the main query. For example:
select top 10 id, first_name from people
union
select count(*), '' as first_name from people
I don't recommend using this solution. Using two separate queries is how it should be done
Generally speaking no - reasoning is as follows:
If(!) the query planner can make use of TOP 10 to return only 10 rows then RDBMS will not even know the exact number of rows that satisfy the full criteria, it just gets the TOP 10.
Therefore, when you want to find out count of all rows satisfying the criteria you are not running it the second time, but the first time.
Having said that proper indexes might make both queries execute pretty fast.
Edit
MySQL has SQL_CALC_FOUND_ROWS which returns the number of rows that query would return if there was no LIMIT applied - googling for an equivalent in MS SQL points to analytical SQL and CTE variant, see this forum (even though not sure that either would qualify as running it only once, but feel free to check - and let us know).