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Explains how different SQL Server components work internally and how they communicate with each other. Presents a large number of examples that will show how various design and implementation decisions affect the behavior and performance of systems. Covers multiple SQL Server versions from SQL Serve...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Korotkevitch, Dmitri (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, 2014.
Colección:Expert's voice in SQL server.
Temas:
SQL server.
SQL server
Database management.
Client/server computing.
Bases de données > Gestion.
Architecture client-serveur (Informatique)
COMPUTERS > Programming Languages > SQL.
COMPUTERS > Client-Server Computing.
COMPUTERS > Databases > General.
Client/server computing
Database management
computerwetenschappen
computer sciences
databasebeheer
database management
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Machine generated contents note: pt. 1 Tables and Indexes
  • ch. 1 Data Storage Internals
  • Database Files and Filegroups
  • Data Pages and Data Rows
  • Large Objects Storage
  • Row-Overflow Storage
  • LOB Storage
  • SELECT* and I/O
  • Extents and Allocation Map Pages
  • Data Modifications
  • Much Ado About Data Row Size
  • Table Alteration
  • Summary
  • ch. 2 Tables and Indexes: Internal Structure and Access Methods
  • Heap Tables
  • Clustered Indexes
  • Composite Indexes
  • Nonclustered Indexes
  • Summary
  • ch. 3 Statistics
  • Introduction to SQL Server Statistics
  • Column-Level Statistics
  • Statistics and Execution Plans
  • Statistics and Query Memory Grants
  • Statistics Maintenance
  • SQL Server 2014 Cardinality Estimator
  • Comparing Cardinality Estimators: Up-to-Date Statistics
  • Comparing Cardinality Estimators: Outdated Statistics
  • Comparing Cardinality Estimators: Indexes with Ever-Increasing Key Values
  • Comparing Cardinality Estimators: Joins
  • Comparing Cardinality Estimators: Multiple Predicates
  • Summary
  • ch. 4 Special Indexing and Storage Features
  • Indexes with Included Columns
  • Filtered Indexes
  • Filtered Statistics
  • Calculated Columns
  • Data Compression
  • Row Compression
  • Page Compression
  • Performance Considerations
  • Sparse Columns
  • Summary
  • ch. 5 Index Fragmentation
  • Types of Fragmentation
  • FILLFACTOR and PAD_INDEX
  • Index Maintenance
  • Designing an Index Maintenance Strategy
  • Patterns that Increase Fragmentation
  • Summary
  • ch. 6 Designing and tuning the Indexes
  • Clustered Index Design Considerations
  • Design Guidelines
  • Identities, Sequences, and Uniqueidentifiers
  • Nonclustered Indexes Design Considerations
  • Optimizing and Tuning Indexes
  • Detecting Unused and Inefficient Indexes
  • Index Consolidation
  • Detecting Suboptimal Queries
  • Summary
  • pt. 2 Other things that matter
  • ch. 7 Constraints
  • Primary Key Constraints
  • Unique Constraints
  • Foreign Key Constraints
  • Check Constraints
  • Wrapping Up
  • ch. 8 Triggers
  • DML Triggers
  • DDL Triggers
  • Logon Triggers
  • UPDATE() and C0LUMNS_UPDATED() functions
  • Nested and Recursive Triggers
  • First and Last Triggers
  • CONTEXT_INFO
  • Summary
  • ch. 9 Views
  • Regular Views
  • Indexed Views
  • Partitioned Views
  • Updatable Views
  • Summary
  • ch. 10 User-Defined Functions
  • Multi-Statement Functions
  • Inline Table-Valued Functions
  • Summary
  • ch. 11 XML
  • To Use or Not to Use XML? That Is the Question!
  • XML Data Type
  • Working with XML Data
  • Value() Method
  • Exists() Method
  • Query() Method
  • Nodes() Method
  • Modify() Method
  • OPENXML
  • FOR XML
  • Summary
  • ch. 12 Temporary Tables
  • Temporary Tables
  • Table Variables
  • User-Defined Table Types and Table-Valued Parameters
  • Regular Tables in tempdb
  • Optimizing tempdb Performance
  • Summary
  • ch. 13 CLR
  • CLR Integration Overview
  • Security Considerations
  • Performance Considerations
  • Summary
  • ch. 14 CLR Types
  • User-Defined CLR Types
  • Spatial Data Types
  • Hierarchyld
  • Summary
  • ch. 15 Data Partitioning
  • Reasons to Partition Data
  • When to Partition?
  • Data Partitioning Techniques
  • Partitioned Tables
  • Partitioned Views
  • Comparing Partitioned Tables and Partitioned Views
  • Using Partitioned Tables and Views Together
  • Tiered Storage
  • Moving Non-Partitioned Tables Between Filegroups
  • Moving Partitions Between Filegroups
  • Moving Data Files Between Disk Arrays
  • Tiered Storage in Action
  • Tiered Storage and High Availability Technologies
  • Implementing Sliding Window Scenario and Data Purge
  • Potential Issues
  • Summary
  • ch. 16 System Design Considerations
  • General System Architecture
  • Data Access Layer Design
  • Connection Pooling
  • Working with Database Tables Directly
  • Database Views
  • Stored Procedures
  • Code Generators and ORM Frameworks
  • Analyzing Microsoft Entity Framework 6
  • Connections and Transactions
  • Executing Stored Procedures and Queries
  • Data Loading
  • Parameterization
  • IN Lists
  • Deletions
  • Optimistic Concurrency
  • Conclusions
  • Summary
  • pt. 3 Locking, Blocking and Concurrency
  • ch. 17 Lock Types
  • ch. 18 Troubleshooting Blocking Issues
  • General Troubleshooting Approach
  • Troubleshooting Blocking Issues in Real Time
  • Collecting Blocking Information for Further Analysis
  • Summary
  • ch. 19 Deadlocks
  • Classic Deadlock
  • Deadlock Due to Non-Optimized Queries
  • Deadlock Due to Simultaneous Read/Update Statements
  • Deadlock Due to Multiple Updates of the Same Row
  • Deadlock Troubleshooting
  • Reducing the Chance of Deadlocks
  • Summary
  • ch. 20 Lock Escalation
  • Lock Escalation Overview
  • Lock Escalation Troubleshooting
  • Summary
  • ch. 21 Optimistic Isolation Levels
  • Row Versioning Overview
  • Optimistic Transaction Isolation Levels
  • READ COMMITTED SNAPSHOT Isolation Level
  • SNAPSHOT Isolation Level
  • Version Store Behavior
  • Summary
  • ch. 22 Application Locks
  • ch. 23 Schema Locks
  • Schema Modification Locks
  • Multiple Sessions and Lock Compatibility
  • Lock Partitioning
  • Low-Priority Locks (SQL Server 2014)
  • Summary
  • ch. 24 Designing Transaction Strategies
  • pt. 4 Query Life Cycle
  • ch. 25 Query Optimization and Execution
  • Query Life Cycle
  • Query Optimization
  • Query Execution
  • Operators
  • Joins
  • Aggregates
  • Spools
  • Parallelism
  • Query and Table Hints
  • INDEX Query Hint
  • FORCE ORDER Hint
  • LOOP, MERGE, and HASH JOIN Hints
  • FORCESEEK/FORCESCAN Hints
  • NOEXPAND/EXPAND VIEWS Hints
  • FAST N Hints
  • Summary
  • ch. 26 Plan Caching
  • Plan Caching Overview
  • Parameter Sniffing
  • Plan Reuse
  • Plan Caching for Ad-Hoc Queries
  • Auto-Parameterization
  • Plan Guides
  • Plan Cache Internals
  • Examining Plan Cache
  • Summary
  • pt. 5 Practical Troubleshooting
  • ch. 27 System Troubleshooting
  • Looking at the Big Picture
  • Hardware and Network
  • Operating System Configuration
  • SQL Server Configuration
  • Database Options
  • SQL Server Execution Model
  • Wait Statistics Analysis and Troubleshooting
  • I/O Subsystem and Non-Optimized Queries
  • Memory-Related Wait Types
  • High CPU Load
  • Parallelism
  • Locking and Blocking
  • Worker Thread Starvation
  • ASYNC_NETWORK_IO Waits
  • Allocation Map Contention and Tempdb load
  • Wrapping Up
  • What to Do When the Server Is Not Responding
  • Working with Baseline
  • Summary
  • ch. 28 Extended Events
  • Extended Events Overview
  • Extended Events Objects
  • Packages
  • Events
  • Predicates
  • Actions
  • Types and Maps
  • Targets
  • Creating Events Sessions
  • Working with Event Data
  • Working with the ring_buffer Target
  • Working with event_file and asynchronous_file_target Targets
  • Working with event_counter and synchronous_event_counter Targets
  • Working with histogram, synchronous_bucketizer, and asynchronous_bucketizer Targets
  • Working with the pair_matching Target
  • System_health and AlwaysOn_Health Sessions
  • Detecting Expensive Queries
  • Summary
  • pt. 6 Inside the transaction log
  • ch. 29 Transaction Log Internals
  • Data Modifications, Logging, and Recovery
  • Delayed Durability (SQL Server 2014)
  • Virtual Log Files
  • Database Recovery Models
  • TempDB Logging
  • Excessive Transaction Log Growth
  • Transaction Log Management
  • Summary
  • ch. 30 Designing a Backup Strategy
  • Database Backup Types
  • Backing Up the Database
  • Restoring the Database
  • Restore to a Point in Time
  • Restore with StandBy
  • Designing a Backup Strategy
  • Partial Database Availability and Piecemeal Restore
  • Partial Database Backup
  • Backup to Windows Azure
  • Managed Backup to Windows Azure
  • Summary
  • ch.
  • 31 Designing a High Availability Strategy
  • SQL Server Failover Cluster
  • Database Mirroring
  • AlwaysOn Availability Groups
  • Log Shipping
  • Replication
  • Designing a High Availability Strategy
  • Summary
  • pt. 7 In-Memory OLTP Engine
  • ch. 32 In-Memory OLTP Internals
  • Why Hekaton?
  • In-Memory OLTP Engine Architecture and Data Structures
  • Memory-Optimized Tables
  • High-Availability Technology Support
  • Data Row Structure
  • Hash Indexes
  • Range Indexes
  • Statistics on Memory-Optimized Tables
  • Garbage Collection
  • Transactions and Concurrency
  • Transaction Isolation Levels and Data Consistency
  • In-Memory OLTP Transaction Isolation Levels
  • Cross-Container Transactions
  • Data Access, Modifications, and Transaction Lifetime
  • Transaction Logging
  • Data Durability and Recovery
  • Memory Usage Considerations
  • Summary
  • pt. 8 Columnstore Indexes
  • ch. 33 In-Memory OLTP Programmability
  • Native Compilation
  • Natively-Compiled Stored Procedures
  • Optimization of Natively-Compiled Stored Procedures
  • Creating Natively-Compiled Stored Procedures
  • Supported T-SQL Features
  • Execution Statistics
  • Interpreted T-SQL and Memory-Optimized Tables
  • Memory-Optimized Table Types and Variables
  • In-Memory OLTP: Implementation Considerations
  • Summary
  • ch. 34 Introduction to Columnstore Indexes
  • Data Warehouse Systems Overview
  • Columnstore Indexes and Batch-Mode Processing Overview
  • Column-Based Storage and Batch-Mode Execution
  • Columnstore Indexes and Batch-Mode Execution in Action
  • Columnstore Index Internals
  • Nonclustered Columnstore Indexes
  • Data Storage.
  • Note continued: Metadata
  • Design Considerations and Best Practices for Columnstore Indexes
  • Reducing Data Row Size
  • Giving SQL Server as Much Information as Possible
  • Maintaining Statistics
  • Avoiding String Columns in Fact Tables
  • Summary
  • ch. 35 Clustered Columnstore Indexes
  • Internal Structure of Clustered Columnstore Indexes
  • Internal Structure
  • Data Load
  • Delta Store and Delete Bitmap
  • Archival Compression
  • Clustered Columnstore Index Maintenance
  • Excessive Number of Partially Populated Row Groups
  • Large Delta Stores
  • Large Delete Bitmap
  • Index Maintenance Options
  • SQL Server 2014 Batch-Mode Execution Enhancements
  • Design Considerations
  • Summary.

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