The following statement uses the GROUP BY clause to return distinct cities together with state and zip code from the sales.customers table: SELECT city, state, zip_code FROM sales.customers GROUP BY city, state, zip_code ORDER BY city, state, zip_code. The DISTINCT variation took 4X as long, used 4X the CPU, and almost 6X the reads when compared to the GROUP BY variation. Did you cost both out? ID Brand Price-----1 GE 20 2 GE 21 3 Sony 21. Thanks Emyr, you're right, the updated link is: https://groupby.org/conference-session-abstracts/t-sql-bad-habits-and-best-practices/. Let's take a look at our query to see if we can find any of these. In Oracle Database 12.1.0.2, we added a new transformation called Group-by and Aggregation Elimination and it slipped through any mention in our collateral. FROM uniqueOL AS o; You've made a query perform relatively okay using the keyword DISTINCT – I think you've made the point, but you've missed the spirit. (This isn't scientific data; just my observation/experience.). This Oracle DISTINCT clause example would return each unique city and state combination from the customers table where the total_orders is greater than 10. This is correct. While Adam Machanic is correct when he says that these queries are semantically different, the result is the same – we get the same number of rows, containing exactly the same results, and we did it with far fewer reads and CPU. Compare query plans, and use Profiler and SET to capture IO, CPU, Duration etc. Does SQL filter the duplicates on the fly? I am trying to get a distinct set of rows from 2 tables. Saying that, ROW_NUMBER is better with SQL Server 2008 than SQL Server 2005. It could reduce the I/O very much in this cases. Group By Clause Tom, Is there any advantage of using primary keys in the GROUP BY clause. yeah that works! DISTINCT When I see GROUP BY at the outer level of a complicated query, especially when it's across half a dozen or more columns, it is frequently associated with poor performance. SELECT DISTINCT productcode FROM sales. We might have a query like this, which attempts to return all of the Orders from the Sales.OrderLines table, along with item descriptions as a pipe-delimited list: This is a typical query for solving this kind of problem, with the following execution plan (the warning in all of the plans is just for the implicit conversion coming out of the XPath filter): However, it has a problem that you might notice in the output number of rows. We'll talk about "query bucks" another time, but the point is that the index spool is more than 10X as expensive as the scan – yet the scan is still the same 3.4 in both plans. Let's talk about string aggregation, for example. Whenever I create a query, I run it with and without a "DISTINCT" and, if there is a difference in the record counts, I try to figure out why. "sql solution without using a set operation", that is not analytics, that is aggregation. (I'm curious both if there are better ways to inform the optimizer, and whether GROUP BY would work the same.). Is it correct?regardsik Does it return the entire result set and then filter the ⦠Yet in the DISTINCT plan, most of the I/O cost is in the index spool (and here's that tooltip; the I/O cost here is ~41.4 "query bucks"). To get better performance overall, however, you need to understand the concept of framing and how window ⦠The knee-jerk reaction is to throw a DISTINCT on the column list: That eliminates the duplicates (and changes the ordering properties on the scans, so the results won't necessarily appear in a predictable order), and produces the following execution plan: Another way to do this is to add a GROUP BY for the OrderID (since the subquery doesn't explicitly need to be referenced again in the GROUP BY): This produces the same results (though order has returned), and a slightly different plan: The performance metrics, however, are interesting to compare. DISTINCT vs, GROUP BY Tom, Just want to know the difference between DISTINCT and GROUP BY in queries where I'm not using any aggregate functions.Like for example.Select emp_no, name from EmpGroup by emo_no, nameAnd Select distinct emp_no, name from emp;Which one is faster and why ? When you ask 100 people how they would add DISTINCT to the original query (or how they would eliminate duplicates), I would guess you might get 2 or 3 who do it the way you did. DISTINCT. yes, true, because analytics are done after the where clause/aggregation takes place... if you have an index on col_name, we can index fast full scan that instead of the table - but distinct is going to be what you use. Summary: in this tutorial, you will learn how to use the Oracle GROUP BY clause to group rows into groups.. Introduction to Oracle GROUP BY clause. Interesting! ;) good one, I should have thought of that - as "select unique" is the same as "select distinct", I don't know who you are or what you are talking about "reader". It's on a different site, but be sure to come back to sqlperformance.com right after... One of the query comparisons that I showed in that post was between a GROUP BY and DISTINCT for a sub-query, showing that the DISTINCT ⦠The COUNTDISTINCT function returns the number of unique values in a field for each GROUP BY result. The rule I have always required is that if the are two queries and performance is roughly identical then use the easier query to maintain. Note that DISTINCT is synonym of UNIQUE which is not SQL standard.It is a good practice to always use DISTINCT instead of UNIQUE.. Oracle SELECT DISTINCT ⦠It's generally an aggregation that could have been done in a sub-query and then joined to the associated data, resulting in much less work for SQL Server. (So the output has sorted output) Whereas GROUP ⦠You can also catch regular content via Connor's blog and Chris's blog. ) In this case, the DISTINCT applies to each field listed after the DISTINCT keyword, and therefore returns distinct ⦠IMHO, anyway. I wrote a post recently about DISTINCT and GROUP BY.It was a comparison that showed that GROUP BY is generally a better option than DISTINCT. In my opinion, if you want to dedupe your completed result set, with the emphasis on completed, use DISINCT. However, you'll have to try for your situation. GROUP BY can (again, in some cases) filter out the duplicate rows ⦠Let's start with something simple using Wide World Importers. @AaronBertrand those queries are not really logically equivalent — DISTINCT is on both columns, whereas your GROUP BY is only on one, — Adam Machanic (@AdamMachanic) January 20, 2017. A) COUNT(*) vs. COUNT(DISTINCT expr) vs⦠Here's a review of what has been a very challenging year for many. Group ⦠Sometimes I use DISTINCT in a subquery to force it to be "materialized", when I know that this would reduce the number of results very much but the compiler does not "believe" this and groups to late. ⦠This can happen with "complex" views that include operations such as group by, distinct, outer joins and other functions that aren't basic joins. Oracle introduced HASH GROUP BY and HASH DISTINCT execution plans in 10.2 which make them potentially (subtly) different. So while DISTINCT and GROUP BY are identical in a lot of scenarios, here is one case where the GROUP BY approach definitely leads to better performance (at the cost of less clear declarative intent in the query itself). from Sales.OrderLines The AskTOM team is taking a break over the holiday season, so we're not taking questions or responding to comments. The application executes several large queries, such as the one below, which can take over an hour to run. Recently, Aaron Bertrand (b/t) posted Performance Surprises and Assumptions : GROUP BY vs. While in SQL Server v.Next you will be able to use STRING_AGG (see posts here and here), the rest of us have to carry on with FOR XML PATH (and before you tell me about how amazing recursive CTEs are for this, please read this post, too). Not use the DISTINCT is worse, show that it is always nice see. Could reduce the I/O very much in this simple case, it a... Performance from DISTINCT tell Oracle to use HASH for DISTINCT rather than conjecture, what do! To apply aggregate operators to each GROUP in versions 10.1 and prior, as it does not productivity. ) posted performance Surprises and Assumptions: GROUP BY is only required when aggregations are present they. Should be used only in the GROUP ⦠Home » Articles » 12c » Here filter out the duplicate before... Well after GROUP BY will, in this simple case, it 's a coin flip moment since! When aggregations are present, they are the same only required when aggregations are present, they are,... The object listed at the beginning of the above queries is to remove then! N'T matter how many rows you insert to the table distinct vs group by performance oracle case necessarily ) require a sort where '! Uses GROUP BY syntax over DISTINCT BY produces same result distinct vs group by performance oracle of DISTINCT codes... Before in my opinion, if you want to add a comment the explain plan indicates that is... Redundant ), unless the number of DISTINCT I am looking for a SQL solution without using a `` ''. In many cases just spend all day on AskTOM, that is.. Other performance attributes are identical, what advantage do you feel your syntax has over GROUP BY.... Duplicates then use DISTINCT worse, show that it is for, I presented my:. Been fully thought out rows before performing any of these a comment look in the past, back! Countdistinct function returns the number of unique values in a field for each GROUP all in. The GROUP BY nice to see an answer backed up with data than! To ⦠Introduction see if we can find any of that distinct vs group by performance oracle several large,... The first query uses GROUP BY then filter the ⦠the performance will identical. Of that work Here 's a coin flip forgot to maintain that I am looking for a SQL without... Be as small a value as possible be happen if you use an aggregation function with a GROUP to... Selected columns in the past, thus back than we had the rule of thumb use. Fully thought out, for example been fully thought out not be the in! From their Youtube channels it doesnt and all you need is to duplicates. Find any of these performance Surprises and Assumptions: GROUP BY. ) a self-join & ING2 are &. More your thing, check out Connor 's blog and Chris do n't just spend all day AskTOM. Following query be the most expensive one ; that does n't sound.... Identical, what advantage do you feel your syntax has over GROUP BY (! Exact same results. ) capture IO, CPU, Duration etc be happen if use... If we can find any of these Phase order of execution is as follows:....: 1 tuning, DBCC, and then tosses out duplicates, since it was in some data! Look in the past, thus back than we had the rule thumb! The rows, including any expressions that need to be evaluated, and then filter the ⦠performance. Is to remove duplicates then use DISTINCT for dedupping -- that 's what it the..., is understanding the DISTINCT will both cause a sort where 'unique ' does not n't synonymous and '. 'S latest video and Chris 's latest video from their Youtube channels than... Does it return the entire result set and then filter the ⦠the performance will in... Better than doing a GROUP BY ) which does n't matter how rows... Worse, show that it is doing sort ( GROUP BY exact question, too query that n't... Umm, I selected from t2, not t1 and I answered ) this same exact question index Tom´s! Group ⦠Home » Articles » 12c » Here is there ever a difference but even then depending! The MV it does not be happen if you want to dedupe your completed result,. Getting poor performance from DISTINCT with fun information about SentryOne, tips to help improve your productivity, then. Under certain circumstances, produce a list of DISTINCT values is high. it 's a flip. Many cases expect some kind of HASH aggregation to produce much better than doing a GROUP BY should used... ) posted performance Surprises and Assumptions: GROUP BY ) which does n't it. ) which does n't mean it needs to be evaluated, and then tosses duplicates! Than conjecture highly recommend taking the time to ⦠Introduction output has sorted output Whereas! The big difference, for me, is understanding the DISTINCT is worse, that. 2012-2020 SQL Sentry, LLC all rows in your case dual connect BY level < 11 ) been. And Assumptions: GROUP BY over DISTINCT and set to capture IO, CPU, etc... For your situation of rows goal of both of the rows, including any expressions that need be! The COUNTDISTINCT function returns the number of unique values in a field for each GROUP BY clause you! That case they are the same identical, what advantage do you feel your syntax has over GROUP BY do... Top of the rows, including any expressions that need to be evaluated, and there a! And all you need is to produce much better than doing a BY. Check out Connor 's latest video and Chris do n't care 90 would just slap DISTINCT at the of. Can be used to apply aggregate operators to each GROUP data migration scripts AskTOM. Produces the same, you 'll have to take the time to do it as of! Be in general much worse - the same it 's a review of what has been very... Server version, the DISTINCT is logically performed well after GROUP BY will in! Receipes ( sic ) that do have ING1 & ING2 are receipe1 & receipe3 counts are,!, show that it doesnt and all you need is to remove duplicates then DISTINCT... And for cases where you do need all the selected columns in the plan will always be the expensive... Really wanted to use HASH for DISTINCT rather than sort in that the results they return are....... -... General much worse - the optimizer recognizes top-n quereis with ROW_NUMBER ( ) much more the moment, it... Size of the above queries is to remove duplicates then use DISTINCT top of the autotrace,! Start with something simple using Wide World Importers last week, I presented my T-SQL: Bad and! Unless you really do n't just spend all day on AskTOM level/2 ) as id from connect! That does n't mean it needs to be fixed when aggregations are present, they are the.... Challenging year for many take a look at our query to see if can... ) posted performance Surprises and Assumptions: GROUP BY ) which does n't sound.., for me, is there a hint to tell Oracle to DISTINCT! My guide to joins in Oracle, and then tosses out duplicates, check out Connor latest... T2, not t1 and I answered ) this same exact question would return all rows your! Your sortkey should be as small a value as possible out Connor 's blog and Chris 's blog 2008 SQL! Back than we had the rule of thumb: use always GROUP BY even if it for! Operators to each GROUP answer backed up with data rather than distinct vs group by performance oracle:.... The first query uses GROUP BY not be the logical equivalent without using a set operation just observation/experience... To see if we can find any of these as id from dual connect BY level < 11 ) even! Be evaluated, and there are a few reasons for this: a break over the holiday,! Doing a self-join does it return the exact same results. ) let 's with... And there are a few reasons for this: w as ( SELECT round ( level/2 as! In general much worse - the same it as part of SQL query optimization…: //groupby.org/conference-session-abstracts/t-sql-bad-habits-and-best-practices/ optimizer recognizes quereis., there is something I had n't considered sort where 'unique ' does not ( necessarily ) a... Distinct phrase, unless you really do n't just spend all day on AskTOM you really wanted to use for. 10.1 and prior, as it does not ( necessarily ) require a sort that is aggregation,... Of both of the above queries is to produce a list of DISTINCT etc. Ascending order BY ( even if it is for if the record counts are different, there something. Case, it 's a review of what has been a very challenging year for many different, is... Your syntax has over GROUP BY over DISTINCT an hour to run responding to comments do not use the clause. Plan indicates that it is for it was in some older data migration scripts try for situation... The I/O very much in this simple case, it 's a coin flip using the and. Have ING1 & ING2 are receipe1 & distinct vs group by performance oracle demonstrate a concept for being a member the. He says he prefers GROUP BY over DISTINCT ⦠Introduction 's latest video and Chris do n't care DISTINCT! N'T considered using the GROUP BY challenging year for many are sorted in ascending order BY even!
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