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Exploring T-SQL Anti-Patterns

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Exploring T-SQL Anti-Patterns
SQL Night #37
Mar 21,2020

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Exploring T-SQL Anti-Patterns

  1. 1. Exploring T-SQL Anti-Patterns 37th SQL Saturday Night Mar 21, 2020
  2. 2. Please mute your mic
  3. 3. Antonios Chatzipavlis Data Solutions Consultant & Trainer Since 1999 30+Years in a Field 20+ Experience with 60+ Certifications SQLschool.gr Founder
  4. 4. A community for Greek professionals who use the Microsoft Data Platform Connect / Explore / Learn @antoniosch - @sqlschool ./sqlschoolgr - ./groups/sqlschool yt/c/SqlschoolGr SQLschool.gr Group help@sqlschool.gr Join us Articles SQL Saturday Nights SQL Server in Greek Webcasts News Resources
  5. 5. Connect / Explore / Learn 10 Celebrating 2010-2020 years
  6. 6. If you want to be part of PASS Summit 2020 Use the following $150 USD discount code in your registration, which is unique to SQL School Greece. LGDISET1I
  7. 7. Virtual Event March 29, 2020 Greek MVPs in Action G. KALYVA G. GRAMMATIKOS G. MARKOU P. APOSTOLIDIS A. CHATZIPAVLIS Speakers
  8. 8. Presentation Content Exploring T-SQL Anti-Patterns We are all writing marvelous Queries. Correct?
  9. 9. • Can cause code break • Has performance implications • Most of the times makes your indexes useless • Unnecessary network traffic The use of SELECT * The most known anti-pattern but most people are still using it
  10. 10. • A predicate defines a logical condition being applied to rows in a table • Search predicates should not use deterministic function calls because they cause unnecessary scans • Query Optimizer - uses statistics, internal transformation rules and heuristics at compile-time to determine a good-enough plan to execute a query - depends on the estimated cost to resolve the search predicates in order to choose whether it seeks or scans over indexes. Functions usage in predicates In WHERE or JOINS clauses
  11. 11. Search predicates should not use complex expressions because they produce unnecessary scans for the same reasons just like functions. Complex expressions usage in predicates In WHERE or JOINS clauses
  12. 12. • How OR Operator works - Returns rows that meet any of the conditions for every criterion specified in the WHERE clause - Progressively increases the number of rows returned with each additional search condition • Can use one index or different indexes for each part of the OR operator • Always performs a Table Scan or Clustered Index Scan - if one column referenced in the OR operator does not have an index or - if the index is not useful • Can use multiple indexes Using the OR operator One of the fundamental topics in Relational Algebra
  13. 13. • Usage of NULL is not anti pattern at any case • In some cases due to special handling of NULL we are facing some challenges to write performant T-SQL NULL usage on joins Null means Unknown
  14. 14. • The problem with LIKE operator is when we use the pattern ‘%abc%’ we always have the usage of scans operators even if we have index on the field. • In this case it’s better to use the Full Text Search component. The wrong usage of LIKE operator
  15. 15. • != • <> • NOT IN • NOT LIKE • … Usage of negative comparisons In Where or Joins clauses
  16. 16. • In programming languages the code reusability is desired. • In T-SQL code reusability most of the time is performance penalty, because the cost of query cannot be known until runtime. Compound logic
  17. 17. • This is when you mismatch data types in a WHERE clause or JOIN condition, and SQL Server needs to convert one on the fly. • The penalties you pay here are: - Indexes won’t be used efficiently - Burn CPU in the conversion process Implicit conversions 1. user-defined data types (highest) 2. sql_variant 3. xml 4. datetimeoffset 5. datetime2 6. datetime 7. smalldatetime 8. date 9. time 10. float 11. real 12. decimal 13. money 14. smallmoney 15. bigint 16. int 17. smallint 18. tinyint 19. bit 20. ntext 21. text 22. image 23. timestamp 24. uniqueidentifier 25. nvarchar (including nvarchar(max) ) 26. nchar 27. varchar (including varchar(max) ) 28. char 29. varbinary (including varbinary(max) ) 30. binary (lowest)
  18. 18. • UNION , UNION ALL • SELECT DISTINCT • SELECT TOP(1) WITH ORDER BY Unnecessary Sort operations
  19. 19. Multi-statement TVFs Scalar UDFs • MSTVFs cost can't be determined at compile time, so a fixed estimation of rows is used to create the query plan. • Interleaved execution for MSTVFs was introduced in SQL Server 2017. • Try to re-write the MSTVFs as Inline Table Valued Functions • Query Optimizer does not account for any T-SQL logic inside a UDF • UDFs are executed for every row in the result set, just like a cursor. • Create scalar UDFs WITH SCHEMABINDING option Reduce the TVFs/UDFs pitfalls For versions prior to SQL Server 2017.
  20. 20. • Use the SET NOCOUNT ON - The count indicating the number of rows affected by a T-SQL statement - When is ON - count won’t be returned to the application layer - we have performance boost because SQL Server does not send DONE_IN_POC token stream for each statement in the code. • Validate input parameters early in the T- SQL code. Optimizing stored procedures Look at my article The effects of SET NOCOUNT ON http://bit.ly/2QwFAjb
  21. 21. Standard Views Indexed Views • Avoid to create generic views • Avoid Inheritance logic with views • Read my article How to not make a disaster view https://bit.ly/33vTNCp • SQL Server will only automatically create statistics on an indexed view when a NOEXPAND table hint is used. • Omitting this hint can lead to execution plan warnings about missing statistics that cannot be resolved by creating statistics manually. Optimizing Views
  22. 22. • It is not uncommon to use sub-queries to express certain predicates inline in queries • Developers must keep in mind that joins are frequently better than correlated sub-queries. Correlated sub-queries
  23. 23. Table variables and temporary tables serve the same basic purpose: To store an intermediate result set to be used by a subsequent query Prior to SQL Server 2019 Table variables are runtime objects only and are compiled together with all other statements, before any of the statements that populate the table variables even execute. For this reason, the Query Optimizer uses a default estimation of one row for table variables, since the row count is not available at compile-time. On Temporary tables SQL Server supports automatic statistics creation, as well as manual statistics creation and update, which the Query Optimizer can use. Table variables vs. Temporary tables
  24. 24. • We can use EXECUTE or sp_executesql. • sp_executesql is the preferred method for executing dynamic T-SQL because: - It allows us to add parameter markers, increasing the likelihood that SQL Server will be able to reuse the plan and avoid costly query compilations - Of the ability to define parameter’s data type, minimizing the risk of sql injection Executing Dynamic T-SQL statement
  25. 25. Thank you! @antoniosch - @sqlschool ./sqlschoolgr - ./groups/sqlschool ./c/SqlschoolGr SQLschool.gr Group Antonios Chatzipavlis Data Solutions Consultant & Trainer
  26. 26. A community for Greek professionals who use the Microsoft Data Platform Copyright © SQLschool.gr. All right reserved. PRESENTER MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION

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