دانلود کتاب T-SQL Fundamentals

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Cover Title Page Copyright Page Contents at a Glance Contents Acknowledgments About the Author Introduction Chapter 1: Background to T-SQL querying and programming Theoretical background SQL Set theory Predicate logic The relational model Types of database workloads SQL Server architecture On-premises and cloud RDBMS flavors SQL Server instances Databases Schemas and objects Creating tables and defining data integrity Creating tables Defining data integrity Conclusion Chapter 2: Single-table queries Elements of the SELECT statement The FROM clause The WHERE clause The GROUP BY clause The HAVING clause The SELECT clause The ORDER BY clause The TOP and OFFSET-FETCH filters A quick look at window functions Predicates and operators CASE expressions NULLs The GREATEST and LEAST functions All-at-once operations Woring with character data Data types Collation Operators and functions The LIKE predicate Woring with date and time data Date and time data types Literals Woring with date and time separately Filtering date ranges Date and time functions Querying metadata Catalog views Information schema views System stored procedures and functions Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Exercise 10 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Exercise 10 Chapter 3: Joins Cross joins SQL-92 syntax SQL-89 syntax Self cross joins Producing tables of numbers Inner joins SQL-92 syntax SQL-89 syntax Inner join safety More join examples Composite joins Non-equi joins Multi-join queries Outer joins Outer joins, described Including missing values Filtering attributes from the nonpreserved side of an outer join Using outer joins in a multi-join query Using the COUNT aggregate with outer joins Conclusion Exercises Exercise 1-1 Exercise 1-2 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Solutions Exercise 1-1 Exercise 1-2 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Chapter 4: Subqueries Self-contained subqueries Self-contained scalar subquery examples Self-contained multivalued subquery examples Correlated subqueries The EXISTS predicate Returning previous or next values Using running aggregates Dealing with misbehaving subqueries NULL trouble Substitution errors in subquery column names Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Exercise 10 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Exercise 9 Exercise 10 Chapter 5: Table expressions Derived tables Assigning column aliases Using arguments Nesting Multiple references Common table expressions Assigning column aliases in CTEs Using arguments in CTEs Defining multiple TEs Multiple references in CTEs Recursive CTEs Views Views and the ORDER BY clause View options Inline table-valued functions The APPLY operator Conclusion Exercises Exercise 1 Exercise 2-1 Exercise 2-2 Exercise 3-1 Exercise 3-2 Exercise 4 Exercise 5-1 Exercise 5-2 Exercise 6-1 Exercise 6-2 Solutions Exercise 1 Exercise 2-1 Exercise 2-2 Exercise 3-1 Exercise 3-2 Exercise 4 Exercise 5-1 Exercise 5-2 Exercise 6-1 Exercise 6-2 Chapter 6: Set operators The UNION operator The UNION ALL operator The UNION (DISTINCT) operator The INTERSECT operator The INTERSECT (DISTINCT) operator The INTERSECT ALL operator The EXCEPT operator The EXCEPT (DISTINCT) operator The EXCEPT ALL operator Precedence Circumventing unsupported logical phases Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Chapter 7: T-SQL for data analysis Window functions Ranking window functions Offset window functions Aggregate window functions The WINDOW clause Pivoting data Pivoting with a grouped query Pivoting with the PIVOT operator Unpivoting data Unpivoting with the APPLY operator Unpivoting with the UNPIVOT operator Grouping sets The GROUPING SETS subclause The CUBE subclause The ROLLUP subclause The GROUPING and GROUPING_ID functions Time series Sample data The DATE_BUCKET function Custom computation of start of containing bucket Applying bucket logic to sample data Gap filling Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Exercise 7 Exercise 8 Chapter 8: Data modification Inserting data The INSERT VALUES statement The INSERT SELECT statement The INSERT EXEC statement The SELECT INTO statement The BULK INSERT statement The identity property and the sequence object Deleting data The DELETE statement The TRUNCATE statement DELETE based on a join Updating data The UPDATE statement UPDATE based on a join Assignment UPDATE Merging data Modifying data through table expressions Modifications with TOP and OFFSET-FETCH The OUTPUT clause INSERT with OUTPUT DELETE with OUTPUT UPDATE with OUTPUT MERGE with OUTPUT Nested DML Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Exercise 5 Exercise 6 Chapter 9: Temporal tables Creating tables Modifying data Querying data Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Chapter 10: Transactions and concurrency Transactions Locks and blocking Locks Troubleshooting blocking Isolation levels The READ UNCOMMITTED isolation level The READ COMMITTED isolation level The REPEATABLE READ isolation level The SERIALIZABLE isolation level Isolation levels based on row versioning Summary of isolation levels Deadlocks Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Chapter 11: SQL Graph Creating tables Traditional modeling Graph modeling Querying data Using the MATCH clause Recursive queries Using the SHORTEST_PATH option SQL Graph querying features that are still missing Data modification considerations Deleting and updating data Merging data Conclusion Exercises Exercise 1 Exercise 2 Exercise 3 Exercise 4 Solutions Exercise 1 Exercise 2 Exercise 3 Exercise 4 Cleanup Chapter 12: Programmable objects Variables Batches A batch as a unit of parsing Batches and variables Statements that cannot be combined in the same batch A batch as a unit of resolution The GO n option Flow elements The IF . . . ELSE flow element The WHILE flow element Cursors Temporary tables Local temporary tables Global temporary tables Table variables Table types Dynamic SQL The EXEC command The sp_executesql stored procedure Using PIVOT with Dynamic SQL Routines User-defined functions Stored procedures Triggers Error handling Conclusion Appendix: Getting started Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z