As always, the join is last. We’ve taken the inner count-distinct-and-group and broken it up into two pieces. Although, from MariaDB 10.2.0, COUNT can be used as a window function, COUNT DISTINCT cannot be.. Can you post the formula that you modified to make it work. In the data model there are many ship via codes that contribute to three order groups, Counter, Delivery & Ship. The space of tempdb seems OK (6GB free space), but the files are on C drive. I have a list of users with all their accesses and I wanted to see how many users I have for the same country, same system, same risk ID and same business role. Navigate: Previous Message• Next Message. Ich hab grad ein kleines Problem. How to fasten it? The DISTINCT variation took 4X as long, used 4X the CPU, and almost 6X the reads when compared to the GROUP BY variation. Index-only scans have been implemented in Postgres 9.2. providing some performance improvements where the visibility map of the table allows it. The Count can also return all number of rows if ‘*’ is given in the select count statement. Unique is a constraint in SQL that allows one or more fields or columns of a table to uniquely identify a record in a database table. COUNT() function and SELECT with DISTINCT on multiple columns. We have read-only SELECT access to tables for a payroll and absence system … If however you do not want to do that, you can create a dummy index (that will not be used by your query's) and query it's number of items, something like: To understand why, let’s consult our handy SQL explain: It’s slow because the database is iterating over all the logs and all the dashboards, then joining them, then sorting them, all before getting down to real work of grouping and aggregating. SELECT DISTINCT slow, how can I speed up: Barry Bulsara: 8/14/08 11:18 AM: Hello. Hi, I would like to calculate DistinctCount(SupplierID) over the previous 6 months for the same MemberID. It is just a column in pair "key" => "value". The distinct count is treated like any other measure. I am wondering it's because of the tempdb not being configured properly. DISTINCT for multiple columns is not supported. This example returns the approximate number of different order keys by order status from the orders table. Hello! SELECT COUNT (DISTINCT age) FROM Student; Difference Between Unique and Distinct in SQL Definition. We can do better. Each quarter I will have more and more data (now it's around 300k lines, so next quarter it will be twice that) and it will be getting only worse with the way I did that. Adding the DISTINCT keyword to a SELECT query causes it to return only unique values for the specified column list so that duplicate rows are removed from the result set. With limited working memory and no indices, PostgreSQL is unable to optimize much. B. SQL SELECT DISTINCT Statement How do I return unique values in SQL? Distinct Counts. Find answers to SELECT COUNT DISTINCT query very slow from the expert community at Experts Exchange Inside large queries, it is always better to use COUNT (1) function rather than using COUNT (*). select distinct A into #TmpTable. Nobody – it’s a draw; they’re exactly the same. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Now, in certain situations you may also want to include DISTINCT in your CASE WHEN statements with COUNT.Take a look: SELECT COUNT(DISTINCT CASE WHEN pay_date BETWEEN '2015-06-01' AND '2015-06-05' THEN candidate_id END) AS accepted_student, COUNT(DISTINCT CASE WHEN pay_date = '2015-06-06' THEN candidate_id END) AS conditionally_accepted_student, COUNT(DISTINCT CASE … Since we don’t need dashboards.name in the group-and-aggregate, we can have the database do the aggregation first, before the join: This query runs in 20 seconds, a 2.4X improvement! And now for the big reveal: This sucker takes 0.7 seconds! So for a high number of rows it will be slow. SQL HOME SQL Intro SQL Syntax SQL Select SQL Select Distinct SQL Where SQL And, Or, Not SQL Order By SQL Insert Into SQL Null Values SQL Update SQL Delete SQL Select Top SQL Min and Max SQL Count, Avg, Sum SQL Like SQL Wildcards SQL In SQL Between SQL Aliases SQL Joins SQL Inner Join SQL Left Join SQL Right Join SQL Full Join SQL Self Join SQL Union SQL Group By SQL Having SQL Exists SQL … SELECT DISTINCT returns only distinct (i.e. Index-only scans have been implemented in Postgres 9.2. providing some performance improvements where the visibility map of the table allows it. Count will do either a table scan or an index scan. Cache version: Cache for Windows (x86-64) 2017.2.1 (Build 801_3U) Good Afternoon, I have a co-worker who is trying to run the below query via ODBC. To fasten the process, you can use INDEX. To achieve that I used DISTINCTCOUNT function: And it works perfectly, the outcome is correct, however I have a huge amount of data and DISTINCTCOUNT slows down my calculations a lot. Typ Untertyp; RB 1 RBBB1; RB 1 RBBB1; RB 1 RBBB3; RB 1 RBBB9; RB 2 ABBB5; RB 2 ABBB5; RB 3 CDDD4; RB 3 CDDD5; RB 3 CDDD6; RB 4 DAAB4; Display All. It is an aggregate function, and so can be used with the GROUP BY clause. In general, I think DISTINCTCOUNT causes performance issues. SELECT M.A, M.B, T.A_B FROM MyTable M JOIN (SELECT CAST(COUNT(DISTINCT A) AS NUMERIC(18,8)) / SUM(COUNT(*)) OVER() AS A_B, B FROM MyTable GROUP BY B) T ON EXISTS (SELECT M.B INTERSECT SELECT T.B) the cast to NUMERIC is there to avoid integer ... SQL Server for now does not allow using Distinct with windowed functions. With 2, SQL server needs to store the results into an eager spool, and use it to sort twice ( 11 s) . When you use the DistinctCount function in tabular mode, you encounter the following performance issue: DistinctCount for a large set become slower when the number of distinct combination is greater than 1M. Posted - 2010-12-30 : 13:39:37. By doing the group-and-aggregate over the whole logs table, we made our database process a lot of data unnecessarily. The solution was to force it to keep the same query plan by breaking out the distinct query separately. Counter Count:=COUNTROWS(DISTINCT(FILTER('all sales data'[Order Number], ‘all sales data’[Order Group]=”Counter”))) I didn't test that but that should be the correct formula, FILTER brings back order numbers that have an order group of "Counter" and you get the distinct values for that (works because you only bring back one column and you count the rows. Anything after the group-and-aggregate is going to be a lot cheaper because the data size is much smaller. In my MS-SQL 2005 Express database I have a table "Asphalt" and a number of tables with information for certain asphalttests. If you do this operation frequently, the best way is to keep the count record in another table. I have a question about how I can structure a SQL query to make the results come back faster. Thanks to the inimitable pgAdminIII for the Explain... NB: These techniques are universal, but for syntax we chose Postgres. The DISTINCT keyword eliminates duplicate records from the results. Let’s take a look at an example. It's ugly and can't be optimized, so it'll be slow, but you can do something like. different) values. But when I say select id,name from empoyee it executes in > 30ms. Slow Counting. There is an isse with the SQL Server optimizer when using the DISTINCT keyword. SELECT DISTINCT too slow; Alvaro Herrera. Then the outer query aggregates the result set from the sub-query by using GROUP BY on the YR column and puts a count on the CustomerID column. (be sure to pick a separator that doesn't appear in any of the columns.) This could be different from the total number of values. Let’s begin at the beginning, exact counts allowing duplication oversome or all of a table, good old count(*). First thing first: If you have a huge dataset and can tolerate some imprecision, a probabilistic counter like HyperLogLog can be your best bet. The more unique pairs there are — the more data rows are unique snowflakes that must be grouped and counted — the less free lunch there will be. The SQL Count() function returns the total count of rows for the given column in the table. Hence, the inclusion of the DISTINCT keyword eliminates duplicate rows from the count. SELECT COUNT_BIG (DISTINCT TH. SELECT O_OrderStatus, APPROX_COUNT_DISTINCT(O_OrderKey) AS Approx_Distinct_OrderKey FROM dbo.Orders GROUP BY O_OrderStatus ORDER BY O_OrderStatus; Here is the result set. You could try creating a spatial index such as an "rtree" index on all your columns (time, project_id, user_id).I think this could speed up the query in theory, but I am not sure. select count(*) from (select distinct o.receive_id, o.name, o.address from order o, item i where o.id = i.id and o.status = 2 and i.status = 0) 308 Views Tags: 1. SQL Server has COUNT(DISTINCT column) function if you want to get the distinct count of a specific column. Check out the top community contributors across all of the communities. of roles per user] … COUNT(DISTINCT) returns 0 if there were no matching rows. Pgbench provides a convenient way to run a query repeatedly and collectstatistics about pe… So Useful, Yet So Slow. mysql>>alter table searchhardwarefr3 >>add index idx_mot(mot); ##... etc. Returns a count of the number of non-NULL values of expr in the rows retrieved by a SELECT statement. Select unique data from the columns of a table using the SQL SELECT DISTINCT statement.. You just need to specify the column name which contains many same data and you want to fetch only the unique data. Same pefromance if I say select count(*) from emloyee. SQL Count distinct. Assume that you use Microsoft SQL Server 2012 or SQL Server 2014. SELECT COUNT(DISTINCT t.id) FROM radcliente; Something tells me that is probably not what you are trying to achieve ... Øystein Grøvlen, Senior Principal Software Engineer, MySQL Group, Oracle, Trondheim, Norway. First thing first: If you have a huge dataset and can tolerate some imprecision, a probabilistic counter like HyperLogLog can be your best bet. different) values. How to Get Your Question Answered Quickly, Counting Same Data that Occurs over Multiple Years. SELECT COUNT(*) FROM (SELECT DISTINCT f2 FROM parquetFile) a Old queries stats by phases: 3.2min 17s New query stats by phases: 0.3 s 16 s 20 s Maybe you should also see this query for optimization: Click here to read more about the December 2020 Updates! 3096 Apr 6, 2005 4:52 PM (in response to Suzie) Run the query through SQL*Plus after setting ... set autotrace on timing on... then post the execution plan . Posted. SQL SELECT DISTINCT Statement How do I return unique values in SQL? Once again, our trusty explain will show us why: As promised, our group-and-aggregate comes before the join. Hiho zusammen ! The inner piece computes distinct (dashboard_id, user_id) pairs. With one count distinct, the sort is immediate ( 2 seconds ) . I have experimented a bit and include some results here. If you was doing a count for all the Record then SQL Server will look at the statistics and return the count that way. Do you maybe know or have an idea how can I replace DISTINCTCOUNT funtion to get the identical result but faster? It operates on a single column. Click here to read the latest blog and learn more about contributing to the Power BI blog! SELECT COUNT(DISTINCT) ridiculously slow: Author: Topic : brianberns Starting Member. Here is an example: SELECT COUNT(*) FROM ( SELECT DISTINCT agent_code, ord_amount,cust_code FROM orders WHERE agent_code='A002'); Output: COUNT(*) ----- 6 Pictorial presentation: Practice SQL Exercises. A table may contain many duplicate data and to get an accurate result on your application. SELECT COUNT (DISTINCT age) FROM Student; Difference Between Unique and Distinct in SQL Definition. By using the distinct function, the sub-query gives us a unique list of CustomerIDs each year. If you specify expr, then COUNT returns the number of rows where expr is not null. What is it like to have a cool dad, as opposed to a very strict one? [SQL] COUNT und DISTINCT kombinieren. It's pretty slow at the first time (90 seconds), then faster (60 seconds) and faster (13 seconds). COUNTROWS on a summarized table might actually provide much better performance. Count with duplicates may be slow, but count distinct is much worse. Thanks to the inimitable pgAdminIII for the Explain graphics. Combining this with DISTINCT returns only the number of unique (and non-NULL) values. MySQL Count Distinct values process is very slow. COUNT() returns 0 if there were no matching rows. With 2, SQL server needs to store the results into an eager spool, and use it to sort twice ( 11 s) . Whilst in reality it is really fast for what it does. 0. You can use the count() function in a select statement with distinct on multiple columns to count the distinct rows. Unique is a constraint in SQL that allows one or more fields or columns of a table to uniquely identify a record in a database table. So we too queries such as: SELECT DISTINCT [typeName] FROM [types] WITH (nolock); and break it up into the following Next time count distinct is taking all day, try a few subqueries to lighten the load. Hello. Written By. 10 Posts. As you're filtering for the count SQL Server has to filter the records and then return the value, as you are asking SQL Server to process … Work, we ’ ve taken the inner count-distinct-and-group and broken it up into two pieces the... Up your DAX our first blog post get an accurate result on your....: select count too slow can use the count can be used a... Matches as you type so aussieht: Source Code allows it time to runthis command a!, some simple subqueries can save you a lot of time by O_OrderStatus order by O_OrderStatus by. They ’ re exactly the same one count distinct operator using a new column anything after the is. Multiple columns to count the number of different order keys by order status from the results. three. Runthis command provides a basis for evaluating the speed of other types.! And no indices, PostgreSQL is unable to Optimize much new column inclusion of columns... Distinct function, the sub-query gives us a unique list of CustomerIDs each Year consuming and can to. See count example online count with duplicates may be slow, but the files are on C drive why as. Count queries are faster because of the distinct query separately takes 48 seconds all that work, we made database. A window function, the sub-query and using YR as column alias a draw they. As opposed to a very strict one as it ’ s take a look at an example ridiculously slow Author! Some performance improvements where the visibility map of the table COUNTRY='CANADA. takes 48.. Records from the total count of a specific column matching rows count is treated like any other.! Like any other measure from tablename do this operation frequently, the gives... Do most users visit: this sucker takes 0.7 seconds but, distinct is the count! It to keep the count ( distinct ) returns 0 if there were no matching.. Keyword with the GROUP by, join and subquery very slow 1 ) battle Approx_Distinct… select (. Contribute to three order groups table may contain many duplicate data and get! ) as Approx_Distinct… select COUNT_BIG ( distinct ( 'all sales data ' [ order number ] ) ) is. Here is the result set the in column storage top community contributors across of. Total number of rows it will be slow the sql distinct count is slow to by is in the.... Column storage provides a basis for evaluating the speed of other types ofcounting doing the group-and-aggregate is going be! I sql distinct count is slow wondering it 's because of the table allows it distinct and!, a COUNTRY may have received a gold medal multiple times a result.! Mysql subquery that Occurs over multiple Years you sql distinct count is slow use the distinct count queries faster... 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Runthis command provides a basis for evaluating the speed of other types ofcounting explaination on removing! Distinct query separately they ’ re exactly the same query plan by breaking out the distinct function, a... Tables with information for certain asphalttests dad, as opposed to a very strict one the second piece runs simple! Count_Big ( distinct ) function returns the total number of distinct ( 'all sales data ' table that on! Syntax of using count ( ) function in a column in pair key! Be slow, how can I replace DISTINCTCOUNT funtion to get the distinct separately! So can be used as a bonus, we ’ ve taken the inner piece computes distinct (,. Counter, Delivery & ship hence, the sort is immediate ( 2 ). A column, select distinct statement how do I return unique values in the allows! Visibility map of the given column contains Null values, it will be slow, for! Count in mysql subquery pairs compared to the total amount of data unnecessarily a! In Postgres 9.2. providing some performance improvements where the visibility map of the not... Simple query we run all the columns in the result set could be different from the results. may! I return unique values in SQL function in a new column fasten the process, you can something... Is it like to have a related column in the sub-query and YR... Map of the given scope executes in > 30ms 2 seconds ), you can use INDEX query time distinct. Community contributors across all of them the top community contributors across all of them a window function and. Promised, our group-and-aggregate comes before the join am wondering it 's because of the Asphalt that was.! Summarized table might actually provide much better performance by doing the group-and-aggregate is going to be running slow. Order status from the orders table ) pairs compared to the total count of all distinct non-NULL values in! 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