subquery vs join performance

Reference Which is faster - joins or subqueries? Just to add to what Jonathan said, you will typically see that the left join will perform better, in this type of case, because of the cardinality of the employee table.  You are selecting all rows from Employee, which is 1,000,000.  The correlated subquery has to be evaluated for every row returned by the outer query, which is select (...) from employee, with no where clause.  This means that the department subquery has to be evaluated 1,000,000 times. Also, as previously noted in another answer, the first, real join will return a row for EACH occurence of the matching ID in Dept - this makes no difference for a unique ID, but will give you tons of duplicates elsewhere. My goal here is to measure the performance characteristics of the two methods. "an Exists filter would probably perform the fastest" - probably not, I think, although a definitive answer would require testing against the actual data. For architectural information on how SQL Server processes queries, see SQL statement processing .However, in some cases where existence must be checked, a join yields better performance. The outer query selects the names (name) and the cost (cost) of the products.Since we don't want all of the products, we use a WHERE clause to filter the rows to the product IDs returned by the subquery.. Now let's look at the subquery.          Some Of  the employees does not  have department, (Select Department_Name From Department Where Department .Department_ID = Employee. Both CTEs and Sub Queries have pretty much the same performance and function. On a more complicated query, using a subquery took 0.0057s when matching 1215 rows, and 0.0307s for 1 row. Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide. Found inside – Page 23The decision to use a subquery, a correlated subquery, or a join usually is based on performance. In early releases of DB2, the performance of logically ... EXISTS vs IN vs JOINs. As a workaround, try rewriting them as multiple-table UPDATE and DELETE statements that use a join rather than a subquery. An interactive guide to Oracle's intensive query tool, SQL* Plus, discusses its powerful features, furnishes a syntax quick reference, and explains how to write and execute script files, generate reports, extract data from the database, ... A Subquery is used to return data that will be used in the main query as a condition to further restrict the data to be retrieved. Optimizing the PL/SQL Challenge VI: The Problem with Group By Subqueries. Found inside – Page 226... of queries into joins or inline views in order to maximize performance. ... correlated subquery is that the main query remains unburdened by joins to ... The following list provides some interesting tricks that you might want to play with. containing spam, advertising, malicious text, etc.) Thanks a lot! By clicking “Accept all cookies”, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Feb 06, 2007 at 07:40 AM. That will help a lot...) among other things. Come write articles for us and get featured, Learn and code with the best industry experts. EXISTS vs IN | SQL in the Wild. Report as offensive (i.e. Replace correlated query with a standard join: See if you can replicate the output without the subqueries, using vanilla joins. They can be very useful to select rows from a table with a condition that depends on the data in the same or another table. Creating a code from an equation in Python using classes. mcgurk 2007-05-18 re: SQL Server: JOIN vs IN vs EXISTS - the logical difference Very nice article. select distinct i. As with ALL THINGS SQL though, your mileage may vary. Found inside – Page 655261. http://en.wikipedia.org/wiki/Query optimization (or: http://bit.ly/Zm92Fr) http://stackoverflow.com/questions/2577174/join-vs-subquery (or: ... The subquery can be placed in the following SQL clauses they are WHERE clause, HAVING clause, FROM clause. The optimizer is more mature for MYSQL for joins than for subqueries, so in many cases a statement that uses a subquery can be executed more efficiently if you rewrite it as join. Found insideWe can either rely on our knowledge of SQL and improvise, or we can rely on ... a join DERIVED: the select is a part of a subquery within a from SUBQUERY: ... We cannot modify a table and select from the same table within a subquery in the same SQL statement. A SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. How to Join in LINQ using Lambda expressions and get the result in DTO? Found inside – Page 107A mutable join is a join of two or more tables and a complex join is a mutable join with extra filtering. ... A single row subquery returns a single row. You can infer that the answers will be the same. Performance optimisation is done differently on the two RDBMSs. The goal is to join my subquery like I would any other table. are you sure the buffer was clean? Over 1s vs 0.0057s is a massive difference in favour of using subqueries. This articles gives you a performance comparison for NOT IN, SQL Not Exists, SQL LEFT JOIN and SQL EXCEPT. A Subquery or Inner query or Nested query is a query within SQL query and embedded within the WHERE clause. Sql server and MySql and ...Sql (excepting NoSql) are so similar in infrastructure. Example 2 took around 5 mins. Joins and subqueries are both used to combine data from different tables into a single result. Key chapters in the book include exercises to reinforce the concepts you've learned. SQL Tuning concludes by addressing special concerns and unique solutions to "unsolvable problems. A LEFT [OUTER] JOIN can be faster than the subquery used for the same case because the server will be able to optimize it better. SAS PROC SQL: why there is a different when hard coding values within IN()? What's the closest bodily damage there is to simulating the effects of "cast from lifespan" magic? if there is something inherently wrong with a sub-query, then there is something twice as wrong with two sub-queries. there are two query for delete . From Oracle's point of view, these queries are identical.Oracle just sees that they are the same and can avoid the whole query evaluation at all: it just uses index access.. Now let's see how smart Oracle will be when it will have to search for a non-indexed column which, in addition, contains duplicates.. JOIN / DISTINCT on a non-indexed column But the bottom line is a subquery is not inherently bad as compared to joins. I implemented the "No Correlated Subqueries" rule when our database (10gR1) was running on a Sun T2000 (many *slow* cores) and found rewriting many NOT IN correlated subqueries to utilize more complicated join syntax resulted in many orders of magnitude worth of speed improvement. If any two of these tables have a column name in common, then must qualify these columns throughout the query with table or table alias names to avoid ambiguity. Found inside – Page 284For each page in its read or write set , a subquery first goes to CC node to ... If a sub - query times out while waiting for a lock , it goes to the Join ... Found inside – Page 159The hint can optionally include one or more indexes. ... USE_NL (table) Forces the optimizer to join the specified table to another table (or subquery) ... More joins in a query means the database server has to do more work, which means that it is more time consuming process to retrieve data. For architectural information on how SQL Server processes queries, see SQL statement processing .However, in some cases where existence must be checked, a join yields better performance. regards, madhu. Jamie King of Neumont University comparing a JOIN to a subquery. The WITH clause may be processed as an inline view or resolved as a temporary table. Found inside – Page 1894.2.3.5 Joins vs. Subqueries Subqueries with IN and with EXISTS are often equivalent to a join . Generally , the join will perform better . Knowing about a subquery versus inner join can help you with interview questions and performance issues. But let's take the case of trying to find a list of all customers who have placed an order in the past year.  With a JOIN, you'd phrase that something like:SELECT DISTINCT CustomerNameFROM Customers cJOIN Orders oON c.customer_id = o.customer_idWHERE DATEDIFF(yr, Orderdate, GetDate()) < 1In subquery form, that would be:SELECT CustomerNAmeFROM Customers cWHERE EXISTS (SELECT 0FROM Order o WHERE c.customer_id = o.customer_id AND DATEDIFF(yr, Orderdate, GetDate()) < 1Want to bet on which one runs faster? Jonathan, the idea that a JOIN form is always faster than a correlated subquery is flat out wrong.  It can be faster, slower, or the same speed...it depends on the actual queries.   In the above case, for instance, the natural phrasing for that query is an outer join, so this form will probably be faster.  But let's take the case of trying to find a list of all customers who have placed an order in the past year.  With a JOIN, you'd phrase that something like:SELECT DISTINCT CustomerNameFROM Customers cJOIN Orders oON c.customer_id = o.customer_idWHERE DATEDIFF(yr, Orderdate, GetDate()) < 1In subquery form, that would be:SELECT CustomerNAmeFROM Customers cWHERE EXISTS (SELECT 0FROM Order o WHERE c.customer_id = o.customer_id AND DATEDIFF(yr, Orderdate, GetDate()) < 1Want to bet on which one runs faster? Department_ID. Subquery vs inner join which one is better in sql server costliest fatser performance. Of course keep in mind that I am using M.2 SSD drives capable of i/o @ 1GB/sec (thats bytes not bits), so my indexes are really fast too. That is, inside a SELECT or WHERE clause. A SQL Server T-SQL correlated subquery is a special kind of temporary data store in which the result set for an inner query depends on the current row of its outer query. So my folk suggest me to change INNER JOIN to LEFT JOIN because the performance of LEFT JOIN is better, at first . Text version of the videohttp://csharp-video-tutorials.blogspot.com/2013/01/what-to-choose-for-performance.htmlHealthy diet is very important both for the bo. By using joins, you can maximize the calculation burden on the database i.e., instead of multiple queries using one join query. Joins and Subqueries in SQL. The answer is: "It depends!". How can I delete using INNER JOIN with SQL Server? We have a kind of query optimization engine underneath which converts the IN (...) clauses to join (if it was possible). postgres - subquery vs join performance sql server . SQL DB2 performance Execution Plan JOIN Sub Query NLJOIN HSJOIN Operator MSJOIN. Sorry Michael. The WITH clause, or subquery factoring clause, is part of the SQL-99 standard and was added into the Oracle SQL syntax in Oracle 9.2. Join Advantages. Found inside – Page 229Although the same results can be accomplished by using the JOIN clause or ... You can encounter performance problems with subqueries if they are not well ... EXISTS is often better than either of these two and when you are talking left joins where you want to all records not in the left join table, then NOT EXISTS is often a much better choice. It "forces" the database engine to run a nested loop of the form (in pseudo code): An alternative is to perform a left outer join, only choosing the records with no matches on the right side. a) Inside the SELECT will provoque that the subquery gets executed IF the main queries' conditions are met, thus allowing the SELECT stateme. Index in a table results in faster search from tables. To make the queries equivalent in this case, the DISTINCT keyword would have to be added to the SELECT clause, which may have an impact on performance. The temporary table generated by the subquery was smaller. Feb 06, 2007 at 07:40 AM. Force a particular table join order. "Calling an example artificial isn't an insult.  Calling someone "nasty" and accusing them of arguing "just to try to prove a superior intellect" is.Â. Found inside – Page 280Subquery conversion and IN lists A few types of things that you may expect to be executed as subqueries will actually turn into types of joins instead. I appreciate the sarcasm, but its hardly some "new approach".  If you want a source, Conor Cunningham, Principle Architect of MS's Core Engine team, uses almost this exact wording on query construction, in his book on SQL Server.  If you like, I'll dig up the ISBN when I'm back in my office. The select list of the query can select any columns from any of these tables. The advantage of the latter is that repeated references to the subquery may be more efficient as the data . Asking for help, clarification, or responding to other answers. That is, it returns rows that fail to match (NOT IN) the subquery on the right side. The sale table contains sales records of the products. We tend to agree wholeheartedly with Tony Hasler in Oracle Expert SQL (pp. A subquery is a query that is nested inside a SELECT, INSERT, UPDATE, or DELETE statement, or inside another subquery. They both use a subquery to evaluate rows, but they do it in a slightly different way. The dataset has very few rows (8k) so the subquery performance might degrade with a larger data set. A join will be performed whenever multiple tables appear in the FROM clause of the query. By reading this article you'll learn about several types of subqueries, and how each can be switched to another form . The subquery first filters the records to only those with the sale price equal to $2,000 (price=2000). Like 0. Alert moderator. Please use ide.geeksforgeeks.org, Notice that the first query is a join, but the second query is a dependent (correlated) subquery, where the subquery refers to values in the enclosing query. June 6, 2010. . SQL server performance - Death by correlated subqueries. While writing the query, one might assume that EXISTS and INNER JOIN might be better because they can use all the logic and optimization for joining two tables, while IN and ANY clauses need to deal with subqueries. Compare SQL Server EXISTS vs. CTEs can be reference multiple times in the same statement where as sub query cannot. Without indexes on the correlated subquery columns, the correlated subquery might be forced to do an expensive full-table scan, executed over and over, once for each outer row returned. This breaks the law of conservation of energy but I don't understand why it doesn't make sense. A curious position, to be sure. A subquery introduced with an unmodified comparison operator (a comparison operator not followed by ANY or . We can use it in multiple ways: in the FROM clause, for filtering, or even as a column. Indexing search is preferred when multiple tables are queried as results are fetched faster. When we want to get data from multiple tables we use join operation. I'm sorry, but you're way out of line here.  Terming an example artiificial is in no way, shape, or form any sort of criticism. It merely means it was created to demonstrate a point. Found inside – Page 211Note: Subqueries are also known as semi-joins because the calling query does not return any information from a subquery (it is only semi- or partially ... Should I acknowledge my parents for their copy editing? Exists filters are likely to be faster where there are multiple rows with the same lookup values - so an exists filter might run faster if the query was checking whether other employees had been recorded from the same department, but probably not when looking up against a department table. I want to know the performance by join vs sub query. acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, SQL | DDL, DQL, DML, DCL and TCL Commands, How to find Nth highest salary from a table, Difference between DELETE, DROP and TRUNCATE, SQL general functions | NVL, NVL2, DECODE, COALESCE, NULLIF, LNNVL and NANVL, Difference between Where and Having Clause in SQL, How to call function within function in C or C++, Python - Binary operation on specific keys in Dictionary List, SQL Query to Find the Name of a Person Whose Name Starts with Specific Letter, Difference between DROP and TRUNCATE in SQL, Difference between MySQL and MS SQL Server, How to use SQLMAP to test a website for SQL Injection vulnerability. Attention reader! Sorry for the length - I'm including. These efforts were all directed at the main body of . Therefore the execution is quicker since there are less data to check in. Prevent a table in the outer query from being joined directly to a table in the subquery. Found insideDevelop programmatic functions to create powerful database applications About This Book Write complex SQL queries and design a robust database design that fits your application's need Improve database performance by indexing, partitioning ... Development is ongoing, so no optimization tip is reliable for the long term. Sub-Query or Left-Outer Join (Performance Wise), Table Employee has million records, table Department has Few Records, TSQL Question (From:SQL Server Database Engine), > "If a left-semi join is used then the optimizer rewrote the query...",  , "...but correlated subqueries aren't always as trivial as the one provided.Â, المملكة العربية السعودية (العربية), http://sqlblog.com/blogs/jonathan_kehayias/, http://msdn.microsoft.com/en-us/library/ms187638.aspx, http://www.microsoft.com/learning/en/us/book.aspx?ID=12967&locale=en-us. [DB2] แค่เปลี่ยน Query ชีวิตก็ดีขึ้นแล้ว JOIN vs Sub Query. Found insideThe book covers schema design, SQL and PL/SQL, tables and indexes, and much more. From the exclusive publisher of Oracle Press books, this is a must-have resource for all Oracle developers and DBAs. delete from tableA a join tableb b on a.col1=b.col1. Found insideJoins. and. Subqueries. In this chapter, we discuss ways to improve performance when two or more tables are joined. Most nontrivial SQL statements contain ... Found inside – Page 297When this parameter is set to TRUE, complex views or subqueries are merged for ... pushing individual join predicates into the view will benefit the query. Posted: (3 days ago) Delete using JOIN vs using subquery performance. Joins are advantageous over subqueries if the SELECT list in a query contains columns from more than one table. Optimizing Subqueries with Semijoin Transformations, Podcast 381: Building image search, but for any object IRL, Best practices for authentication and authorization for REST APIs, Updates to Privacy Policy (September 2021), CM escalations - How we got the queue back down to zero, 2021 Moderator Election Q&A – Question Collection, MySQL Inner Join Query To Get Records Not Present in Other Table. Delete using JOIN vs using subquery performance . Is it possible to control the position of plots to be front/back when combined using Show? This one's come up a few times recently, so I'll take a look at it. Found inside – Page 135The decision to use a subquery , a correlated subquery or a join is usually based on performance . The join is the best in most cases . So I would conclude that sub-query in this case is much faster. The WITH clause and global temporary tables can replace subqueries. Application of Join Operation and Subquery : To understand the difference between Nested Subquery, Correlated Subquery and Join Operation firstly we have to understand where we use subqueries and where to use joins. In . › See more all of the best images on www.microsoft.com Images. For example, if a subquery includes a function that returns a random number, the subquery is volatile because the result is not always the same. Before chosing IN or EXISTS, there are some details that you need to look at. SELECT Statements to filter required rows. Found insideAs with joins and simple single-table queries, the most important factor in improving subquery performance is to create indexes that allow the subqueries to ... Without indexes on the correlated subquery columns, the correlated subquery might be forced to do an expensive full-table scan, executed over and over, once for each outer row returned. A Subquery is a SELECT statement that is embedded in a clause of another SQL statement. why query 1 was faster than query 2: query 1: Select layer_number. Disadvantage of using joins includes that they are not as easy to read as subqueries. Is it correct to say "She taught me drawing" and "She taught me to draw"? I ran both queries in Snowflake (I successfully avoided the cache by adding a current_timestamp to the query). Correlated subqueries. Department_ID) as Department_Name, On  Department .Department_ID = Employee. A Request Unit, or RU, is the measure of throughput in Azure Cosmos DB. The only REAL way to tell with 100% certainty which is faster is to turn on performance tracking (IO Statistics is especially useful) and run them both. Improve INSERT-per-second performance of SQLite. Obviously there are exceptions. Advantages Of Joins: The advantage of a join includes that it executes faster. Break up counts of tables being joined in the query tree to keep below the limits listed below, so the cost-based optimizer is still used, not the logical optimizer. Therefore, subqueries can be slower than the LEFT [OUTER] JOIN, but its readability is higher as compare to Joins. Vi: the advantage of a join tableb b on a.col1=b.col1 to subqueries, using joins! Executed ) inside of another query ( e.g is where the avg_pet_count_over_time is located Tuning concludes by addressing concerns... Because you have it- CTEs and subqueries are used to combine data from multiple tables appear the. I subquery vs join performance my parents for their copy editing operator ( a comparison operator not followed by any or support data. Clicking “ post your answer ”, you agree to our terms of performance performance characteristics of the query ”. Sorry if this is too trivial and asked before but I am about to about. Evaluate rows, and common table Expressions & quot ; use to measure performance of long! By join vs LEFT join where no rows will be faster than that of a long jump competition equal $..., See our tips on writing great answers retrieves static data an `` Old Gold. Optimizing the PL/SQL Challenge VI: the advantage of a join includes that they are clause! This book, destined to be front/back when combined using Show vanilla joins far plan... Into isolated parts so that real-time access retrieves static data on a more complicated query, using joins. Executes faster main indicator for performance will be much faster difference in favour of using subqueries database over.! Is the idea that correlated subqueries using the SQL API in Azure DB... Both ID columns using subqueries which means a join or another... subquery vs join performance inside – Page 159The hint can include! Like 100k+ then in works better indexing search is preferred when multiple tables use... Where the post you mention is tagged MySQL much faster start to at. A where col1 in ( select device_id subquery vs join performance device_index where device_name likely to be the bible of development... Match between the column specified before the, there is usually no performance difference the logical difference nice! In dealing with sets are Derived from them creating a code from an equation in Python using.... Be processed as an equivalent to or applies to parameter/value lists, but its is! Cache by adding a current_timestamp to the query can not modify a table in the clause. In order to provide output to outer query for data filtering purpose June 18, by. Of these tables book will help a lot on indexes ( do you have an advantage using... Then in works better paintings '' in real life deciding between joins subqueries..., your mileage may vary... Flattening, or nesting with DISTINCT or Group by will be NULL advantages... Several minutes to execute ; our efforts have reduced this to a table in! How do non-universalists account for these passages talking about the salvation of all no rows be. Extensive indexing for all Oracle developers and DBAs complex joins and unions optimizing the PL/SQL Challenge:! Best industry experts query that combines records from two related tables filter by one table this tutorial is from! Questions in presentations with major stakeholders usually no performance difference between a statement includes... Query and embedded within the where clause History Month website ' call white people genetically. Which are mostly treated like joins can write the retrieves static data simulating effects! Multiple times and get the differnce may affect the speeds of the queries multiple times in the subquery to... Can you be sure correleated subqueries applied to any TSQL coding situation subquery. Part about this tip is that repeated references to the subquery was smaller and executed ) of! To take off backwards using reverse thrust '' magic to provide output outer. We discuss ways to improve performance when two or more tables are queried as are... Overcome/Answer unexpected questions in presentations with major stakeholders would depend on the database i.e., instead of multiple using! View or resolved as a temporary table actually run the queries I am this! Not both search is slower and will degrade the performance characteristics of the, doubt assistance and more of! Use in a clause of another query ( e.g understand and code with the sale table contains records... Can maximize the calculation burden on the optimiser - under certain circumstances, it returns rows that fail to (. Use TOP ( 10000 ) and See how long it takes and multiply by of. Using one join condition, either in the same inputs n't write `` the rules we follow in dealing sets. Sorting these out with DISTINCT or Group by will be another, heavy performance load of! May vary get data from the Players table Expressions and get the in... How do non-universalists account for these passages talking about the salvation of all ] join but. Cat_Dim is 33 rows, and 0.0041 for 1 row and subqueries are used to combine data rows. Also at ease retrieves static data the first query to be completely different Options - Server... Several minutes to execute ; our efforts have reduced this to a subquery m.! About the salvation of all start to look at run the queries am! To improve performance when two or more tables would depend on the -. B on a.col1=b.col1 '' in real life select customers without orders jamie of... Also use Profiler to actually run the queries I am about to talk about not have a join another. Sorting these out with DISTINCT or Group by will be performed whenever multiple tables appear in the West list some! Unmodified comparison operator not followed by any or before I hit the big query more, See our tips writing! Most subquery vs join performance role to place 150-300 modern soldiers in during the Civil War of all ( ) table... Snowflake ( I successfully avoided the cache by adding a current_timestamp to the question whether to for! Breaks the law of conservation of energy but I am locking this post to stop the off back! '' question this RSS feed, copy and paste this URL into RSS... The output without the subqueries, using vanilla joins developers to use a join or sub-query! ( 8k ) so the subquery counter with 64-bit introduces crazy performance deviations with _mm_popcnt_u64 on Intel.. He just asked me: I have extensive indexing for all of the effective! Can suggest me tools I should prefer one over the same performance and function with on! The cache by adding a current_timestamp to the query plan is likely to be completely different subqueries are both to... Database certifications performance comparison methodology can be reference multiple times in the US code is! Since the inner query or nested query is a design rule of that... Indexing for all Oracle developers and DBAs statement, or nesting support custom data types also, it returns that. The Players table why query 1: select layer_number subquery may be more efficient as the data is like. Third table, say OrgChart, to model the relationship between entities/classes but not both I successfully the... Before the unsolvable problems most nontrivial SQL statements contain... found inside – Page 397Now take a look at subquery! ( or subquery ) different when hard coding values within in ( select device_id from where... A third table, say OrgChart, to model the relationship between entities/classes but not to subqueries, using joins... Several minutes to execute ; our efforts have reduced this to a subquery why. Id columns bogs down, this question is tagged sql-server-2008, where the avg_pet_count_over_time is located API in Cosmos. Sas PROC SQL: why there is usually no performance difference is quicker since there less... The question whether to go for subquery or inner query or nested is! That will help you get it back Up to 10 attachments ( including images the link.. Not modify a table in the outer query from being joined directly to a in. ( not in, SQL LEFT join where no rows will be much faster does n't make.. You mention is tagged sql-server-2008, where the avg_pet_count_over_time is located query ชีวิตก็ดีขึ้นแล้ว join vs using performance. To or applies to parameter/value lists, but the bottom line is a query contains columns from any these. Where col1 in ( select device_id from device_index where device_name of storedprocedure development, is the idea correlated... Short, you agree to our terms of service, privacy policy and cookie policy to 10 attachments ( images. Indexes and correlated subqueries are the exact same in terms of performance its cardinality ) then it be. Or the other `` it depends! `` how can I delete using inner join vs |! Was faster than that of a of the query optimizer figures it out for you do without 502Additionally.,... Flattening, or & lt ;, or responding to other answers and See how it... Difference is where the post you mention is tagged MySQL, it depend. Deathly Hallows imply that Dumbledore dueled Grindelwald in 1904 also Section 8.2.2, & quot ; advantageous subqueries. Two related tables filter by one table to `` unsolvable problems more indexes use a... Pl/Sql Challenge VI: the advantage of a given query... vs. subqueries development ongoing... Where device_name by any or a Masters of Science degree and numerous database certifications that can be placed in Wild! 1 was faster than query 2: query 1 was faster than that a. Different methods to kill SQL Server a one-off data cleansing, probably best to just leave it and... There is a subquery took 0.0057s when matching 1215 rows, while cat_pet_fact is rows! To overcome/answer unexpected questions in presentations with major stakeholders there would be same! Lot on indexes ( do you have a Group by on a common field between them SQL by... Benoni Defense do you have it- CTEs and sub queries have pretty much the same in!
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