Inside Microsoft SQL Server 2. T- SQL Querying for i. OS - Free download and software reviews. From O'Reilly Media. By Dejan Sarka, Itzik Ben- Gan, Lubor Kollar. Published by Microsoft Press (http: //oreilly. Take a detailed look at the internal architecture of T- SQLand unveil the power of set- based queryingwith comprehensive reference and advice from the experts. Read or Download Here http:// Inside Microsoft SQL Server 2005: Query Tuning and Optimization Ebook Free. Inside Microsoft® SQL Server™ 2005: Query Tuning and Optimization. Dig into the internals of tuning and optimization features in SQL Server 2005. visit. Database developers and administrators get best practices, sample databases, and code to master the intricacies of the programming languagesolving complex problems with real- world solutions. Discover how to: Understand logical and physical query processing. Apply a methodology to optimize query tuning. Solve relational division problems. Use CTEs and ranking functions to simplify and optimize solutions. Aggregate data with various techniques, including tiebreakers, pivoting, histograms, and grouping factors. Use the TOP option in a query to modify data. Query specialized data structures with recursive logic, materialized path, or nested sets solutions. PLUSImprove your logic and get to the heart of querying problems with logic puzzles. Get code and database samples on the Web. Superb Reading Features* Full book text search* Several fonts and themes to choose from* Built- in dictionary* The ability to add annotations* Landscape view* Extensive cross- referencing and working hyperlinks* Zoom function for images and screenshots. About Lexcycle. Lexcycle is the creator of Stanza Bookbinder which was used to create this standalone book application. Stanza Bookbinder is based on the popular i. Phone Ebook reading application, Stanza. For more information about Stanza, visit www. T- SQL Querying | Microsoft Press Store. Published 3/6/2. 01. Edition. Book 9. 78- 0- 7. Book 9. 78- 0- 1. T- SQL insiders help you tackle your toughest queries and query- tuning problems. Squeeze maximum performance and efficiency from every T- SQL query you write or tune. Four leading experts take an in- depth look at T- SQL’s internal architecture and offer advanced practical techniques for optimizing response time and resource usage. Emphasizing a correct understanding of the language and its foundations, the authors present unique solutions they have spent years developing and refining. All code and techniques are fully updated to reflect new T- SQL enhancements in Microsoft SQL Server 2. SQL Server 2. 01. Write faster, more efficient T- SQL code: Move from procedural programming to the language of sets and logic. Master an efficient top- down tuning methodology. Assess algorithmic complexity to predict performance. Compare data aggregation techniques, including new grouping sets. Efficiently perform data- analysis calculations. Make the most of T- SQL’s optimized bulk import tools. Avoid date/time pitfalls that lead to buggy, poorly performing code. Create optimized BI statistical queries without additional software. Use programmable objects to accelerate queries. Unlock major performance improvements with In- Memory OLTPMaster useful and elegant approaches to manipulating graphs. About This Book. For experienced T- SQL practitioners. Includes coverage updated from Inside Microsoft SQL Server 2. T- SQL Querying and Inside Microsoft SQL Server 2. T- SQL Programming. Valuable to developers, DBAs, BI professionals, and data scientists. Covers many MCSE 7. MCSA/MCSE 7. 0- 4. Online Sample Chapter. T- SQL Querying: TOP and OFFSET- FETCH. Sample Pages. Download the sample content. Table of Contents. Foreword xv. Introduction xvii. Chapter 1: Logical query processing 1. Logical query- processing phases 3. Logical query- processing phases in brief 4. Sample query based on customers/orders scenario 6. Logical query- processing phase details 8. Step 1: The FROM phase 8. Step 2: The WHERE phase 1. Step 3: The GROUP BY phase 1. Step 4: The HAVING phase 1. Step 5: The SELECT phase 1. Step 6: The ORDER BY phase 2. Step 7: Apply the TOP or OFFSET- FETCH filter 2. Further aspects of logical query processing 2. Table operators 2. Window functions 3. The UNION, EXCEPT, and INTERSECT operators 3. Conclusion 3. Chapter 2: Query tuning 4. Internals 4. 1Pages and extents 4. Table organization 4. Tools to measure query performance 5. Access methods 5. Table scan/unordered clustered index scan 5. Unordered covering nonclustered index scan 6. Ordered clustered index scan 6. Ordered covering nonclustered index scan 6. The storage engine’s treatment of scans 6. Nonclustered index seek + range scan + lookups 8. Unordered nonclustered index scan + lookups 9. Clustered index seek + range scan 9. Covering nonclustered index seek + range scan 9. Cardinality estimates 9. Legacy estimator vs. Implications of underestimations and overestimations 9. Statistics 1. Estimates for multiple predicates 1. Ascending key problem 1. Unknowns 1. 10. Indexing features 1. Descending indexes 1. Included non- key columns 1. Filtered indexes and statistics 1. Columnstore indexes 1. Inline index definition 1. Prioritizing queries for tuning with extended events 1. Index and query information and statistics 1. Temporary objects 1. Set- based vs. iterative solutions 1. Query tuning with query revisions 1. Parallel query execution 1. How intraquery parallelism works 1. Parallelism and query optimization 1. The parallel APPLY query pattern 1. Conclusion 1. Chapter 3: Multi- table queries 1. Subqueries 1. Self- contained subqueries 1. Correlated subqueries 1. The EXISTS predicate 1. Misbehaving subqueries 2. Table expressions 2. Derived tables 2. CTEs 2. 07. Views 2. Inline table- valued functions 2. Generating numbers 2. The APPLY operator 2. The CROSS APPLY operator 2. The OUTER APPLY operator 2. Implicit APPLY 2. Reuse of column aliases 2. Joins 2. Cross join 2. Inner join 2. Outer join 2. Self join 2. 30. Equi and non- equi joins 2. Multi- join queries 2. Semi and anti semi joins 2. Join algorithms 2. Separating elements 2. The UNION, EXCEPT, and INTERSECT operators 2. The UNION ALL and UNION operators 2. The INTERSECT operator 2. The EXCEPT operator 2. Conclusion 2. Chapter 4: Grouping, pivoting, and windowing 2. Window functions 2. Aggregate window functions 2. Ranking window functions 2. Offset window functions 2. Statistical window functions 2. Gaps and islands 2. Pivoting 2. 99. One- to- one pivot 3. Many- to- one pivot 3. Unpivoting 3. Unpivoting with CROSS JOIN and VALUES 3. Unpivoting with CROSS APPLY and VALUES 3. Using the UNPIVOT operator 3. Custom aggregations 3. Using a cursor 3. Using pivoting 3. Specialized solutions 3. Grouping sets 3. GROUPING SETS subclause 3. CUBE and ROLLUP clauses 3. Grouping sets algebra 3. Materializing grouping sets 3. Sorting 3. 37. Conclusion 3. Chapter 5: TOP and OFFSET- FETCH 3. The TOP and OFFSET- FETCH filters 3. The TOP filter 3. The OFFSET- FETCH filter 3. Optimization of filters demonstrated through paging 3. Optimization of TOP 3. Optimization of OFFSET- FETCH 3. Optimization of ROW_NUMBER 3. Using the TOP option with modifications 3. TOP with modifications 3. Modifying in chunks 3. Top N per group 3. Solution using ROW_NUMBER 3. Solution using TOP and APPLY 3. Solution using concatenation (a carry- along sort) 3. Median 3. 68. Solution using PERCENTILE_CONT 3. Solution using ROW_NUMBER 3. Solution using OFFSET- FETCH and APPLY 3. Conclusion 3. Chapter 6: Data modification 3. Inserting data 3. SELECT INTO 3. Bulk import 3. Measuring the amount of logging 3. BULK rowset provider 3. Sequences 3. 81. Characteristics and inflexibilities of the identity property 3. The sequence object 3. Performance considerations 3. Summarizing the comparison of identity with sequence 3. Deleting data 3. TRUNCATE TABLE 3. Deleting duplicates 3. Updating data 4. Update using table expressions 4. Update using variables 4. Merging data 4. MERGE examples 4. Preventing MERGE conflicts 4. ON isn't a filter 4. USING is similar to FROM 4. The OUTPUT clause 4. Example with INSERT and identity 4. Example for archiving deleted data 4. Example with the MERGE statement 4. Composable DML 4. Conclusion 4. Chapter 7: Working with date and time 4. Date and time data types 4. Date and time functions 4. Challenges working with date and time 4. Literals 4. 34. Identifying weekdays 4. Handling date- only or time- only data with DATETIME and SMALLDATETIME 4. First, last, previous, and next date calculations 4. Search argument 4. Rounding issues 4. Querying date and time data 4. Grouping by the week 4. Intervals 4. 50. Conclusion 4. Chapter 8: T- SQL for BI practitioners 4. Data preparation 4. Sales analysis view 4. Frequencies 4. Frequencies without window functions 4. Frequencies with window functions 4. Descriptive statistics for continuous variables 4. Centers of a distribution 4. Spread of a distribution 4. Higher population moments 4. Linear dependencies 4. Two continuous variables 4. Contingency tables and chi- squared 5. Analysis of variance 5. Definite integration 5. Moving averages and entropy 5. Moving averages 5. Entropy 5. 18. Conclusion 5. Chapter 9: Programmable objects 5. Dynamic SQL 5. Using the EXEC command 5. Using the sp_executesql procedure 5. Dynamic pivot 5. Dynamic search conditions 5. Dynamic sorting 5. User- defined functions 5. Scalar UDFs 5. Multistatement TVFs 5. Stored procedures 5. Compilations, recompilations, and reuse of execution plans 5. Table type and table- valued parameters 5. EXECUTE WITH RESULT SETS 5. Triggers 5. 75. Trigger types and uses 5. Efficient trigger programming 5. SQLCLR programming 5. SQLCLR architecture 5. CLR scalar functions and creating your first assembly 5. Streaming table- valued functions 5. SQLCLR stored procedures and triggers 6. SQLCLR user- defined types 6. SQLCLR user- defined aggregates 6. Transaction and concurrency 6. Transactions described 6. Locks and blocking 6. Lock escalation 6. Delayed durability 6. Isolation levels 6. Deadlocks 6. 57. Error handling 6. The TRY- CATCH construct 6. Errors in transactions 6. Retry logic 6. Conclusion 6. Chapter 1. 0: In- Memory OLTP 6. In- Memory OLTP overview 6. Data is always in memory 6. Native compilation 6. Lock and latch- free architecture 6. SQL Server integration 6. Creating memory- optimized tables 6. Creating indexes in memory- optimized tables 6. Clustered vs. nonclustered indexes 6. Nonclustered indexes 6. Hash indexes 6. Execution environments 6. Query interop 6. Natively compiled procedures 6. Surface- area restrictions 7. Table DDL 7. 03. DML 7. 04. Conclusion 7. Chapter 1. 1: Graphs and recursive queries 7. Terminology 7. Graphs 7. 07. Trees 7. 08. Hierarchies 7. Scenarios 7. 09. Employee organizational chart 7. Bill of materials (BOM) 7. Road system 7. Iteration/recursion 7. Subgraph/descendants 7. Ancestors/path 7. Subgraph/descendants with path enumeration 7. Sorting 7. 36. Cycles 7. 40. Materialized path 7. Maintaining data 7. Querying 7. 49.
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