Intro to tsql unit 6
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Temporary tables are used to hold intermediate result sets and can be created locally or globally, while select into can be used to create a new table based on a select statement. Views allow simplified and customized data access and provide independence from the database schema while promoting security. Temp tables and views are powerful tools but should be used judiciously with an understanding of how they impact system resources and security.
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The document provides an overview of SQL and the database development process. It discusses SQL standards and environments. It also demonstrates how to define databases and tables using SQL data definition language. Examples are provided for SQL statements like SELECT, INSERT, UPDATE, and DELETE to manipulate and query data. Views, functions, joins and other SQL features are also explained.
Getting Started with MySQL II
The document discusses database views in MySQL. It provides information on creating views using the CREATE VIEW and CREATE OR REPLACE VIEW statements. Views allow simplifying complex queries, limiting data access, and providing extra security. Performance can be impacted when querying views defined on other views. Views also introduce dependency on the underlying tables. Stored procedures in MySQL are also discussed, including their advantages like increased performance and security, and disadvantages like increased memory usage. Triggers are described as stored programs that execute automatically in response to data changes and can be used for auditing and validation. Examples are provided on creating a trigger for auditing table updates and accessing MySQL from Excel.
Introducing ms sql_server_updated
This document provides an overview of relational databases and the Microsoft SQL Server database management system. It defines key concepts like tables, primary keys, and foreign keys. It also describes popular DBMSs, database structures in SQL Server like client/server and n-tier architectures, and how to create indexes, backups, restores, stored procedures, triggers, views, and functions. The document includes syntax examples and concludes with a reference section and questions.
Triggers
Triggers are stored procedures that run automatically in response to data changes like inserts, updates, and deletes. There are two types of triggers: DDL triggers respond to data definition language statements like CREATE and ALTER, while DML triggers respond to data manipulation language statements that change data. DML triggers can be FOR or AFTER triggers that fire after the data change, or INSTEAD OF triggers that fire before and allow modifying the change. Triggers enable enforcing business rules and logging actions across tables in ways that constraints cannot.
PostgreSQL Performance Tables Partitioning vs. Aggregated Data Tables
Table partitioning and aggregated data tables (such as materialized views) are two approaches to improve PostgreSQL database performance as data volumes grow large over time. Table partitioning involves splitting a large table into multiple smaller tables (partitions) based on a partition function and key, while aggregated data tables pre-compute query results to avoid repeated computation. Both can improve query performance but come with caveats such as increased planning time for partitions or expensive refresh costs for materialized views. The best approach depends on each unique situation and data access patterns.
Introduction to Oracle Database.pptx
This slideshow aims to convey the basics of Oracle Database. This slideshow captures all the essential concepts and necessary visualizations to capture all the key concepts of Oracle RDBMS, along with providing all the essential steps to install it on your system, whether it be on Mac or Windows. Capturing all the concepts precisely and cogently, it also explains key concepts like joins in a diagrammatic fashion enabling viewers to visualize them for easier understanding and retention, along with providing them with the syntax to pick up writing simple queries.
Database Foundation Training
The document provides an overview of key concepts in database foundation training including:
1) It discusses database objects like tables, views, stored procedures, functions, triggers, and indexes.
2) It describes different types of databases like relational, flat file, and different database management systems.
3) It explains database concepts such as transactions, data definition language commands, and the difference between online transaction processing and online analytical processing databases.
View
VIEWs allow users to query data from tables while restricting access to only specific columns, rows, or subsets of data. A VIEW acts like a virtual table containing no data itself but instead shows the results of a SELECT query. The CREATE VIEW statement is used to define a VIEW, ALTER VIEW modifies an existing VIEW definition, and DROP VIEW removes a VIEW.
Creating other schema objects
Database objects such as tables, views, sequences, indexes, and synonyms allow users to access and manage data. Tables are the basic unit of storage composed of rows, while views represent subsets of data from tables. Sequences generate numeric values and indexes improve query performance. Synonyms provide alternative names for objects to simplify access. Users can create, modify, and remove these objects according to defined syntax and guidelines.
MySQL Pro
Mysql PRO provides an overview of MySQL basics, architecture, transactions, triggers, PL/SQL, and engines. The document discusses SELECT statements, joins, INSERT, UPDATE, DELETE, and transactions. It explains MySQL architecture including optimization, execution, and concurrency control using table locks and row locks. Transactions ensure atomicity and consistency by allowing statements to be treated as single units that either all succeed or fail as a whole.
SQL Server 2016 novelties
SQL Server 2016 introduces new capabilities to help improve performance, security, and analytics:
- Operational analytics allows running analytics queries concurrently with OLTP workloads using the same schema. This provides minimal impact on OLTP and best performance.
- In-Memory OLTP enhancements include greater Transact-SQL coverage, improved scaling, and tooling improvements.
- The new Query Store feature acts as a "flight data recorder" for databases, enabling quick performance issue identification and resolution.
Optimizing Data Accessin Sq Lserver2005
The document discusses various techniques for optimizing SQL Server performance, including handling index fragmentation, optimizing files and partitioning tables, effective use of SQL Profiler and Performance Monitor, a methodology for performance troubleshooting, and a 10 step process for performance optimization. Some key points covered are determining and resolving index fragmentation, partitioning tables across multiple file groups, capturing traces with SQL Profiler and Performance Monitor counters to diagnose issues, and ensuring proper indexing through query execution plans and the SQL Server tuning advisor.
Les10
This document provides an overview of creating and working with various database objects in Oracle including views, sequences, indexes, and synonyms. It describes how to create simple and complex views to restrict data access and present different views of data. It also covers how to generate unique numbers with sequences, create indexes to improve query performance, and use synonyms to provide alternative names for objects. The key goals are to learn how to create, maintain, and use these different database objects to logically represent and retrieve data from tables.
Myth busters - performance tuning 102 2008
The document provides an overview of various techniques for optimizing database and application performance. It discusses fundamentals like minimizing logical I/O, balancing workload, and serial processing. It also covers the cost-based optimizer, column constraints and indexes, SQL tuning tips, subqueries vs joins, and non-SQL issues like undo storage and data migrations. Key recommendations include using column constraints, focusing on serial processing per table, and not over-relying on statistics to solve all performance problems.
Stored procedure tuning and optimization t sql
Stored procedure tuning and optimization t sql
Basic and advanced techniques to prevent timeouts, delay, deadlocks
Chap 7
The document provides an overview of SQL and database implementation. It discusses SQL environments, data types, database definition using DDL statements to create tables and views, and DML statements for data manipulation including SELECT, INSERT, UPDATE, DELETE. Examples are provided for each statement type. The SELECT statement is discussed in more depth, with examples demonstrating clauses like WHERE, ORDER BY, GROUP BY, HAVING, functions and operators.
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PostgreSQL Performance Tables Partitioning vs. Aggregated Data Tables
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Intro to tsql unit 14
The document provides an introduction to stored procedures in SQL. Key points include:
- Stored procedures allow code to be executed as a batch after being compiled once, improving performance over executing individual SQL statements.
- Stored procedures can accept input parameters, return output parameters, and be used to enforce consistent implementation of business logic and error handling.
- Best practices for stored procedures include adding documentation, error handling, and using input/output parameters to make procedures more flexible and reusable.
Intro to tsql unit 13
The document discusses SQL cursors, which allow processing query result sets row-by-row rather than all at once. It describes the key components of cursors, including declaring, opening, fetching rows, closing, and deallocating. Cursors provide the ability to update or delete rows individually. The document outlines best practices for using cursors and cautions about performance implications.
Intro to tsql unit 10
This document provides an overview of SQL functions in six categories: string, date, mathematical, aggregate, general, and converting data types. It describes common string, date, and mathematical functions and how to use them. Aggregate functions like COUNT, SUM, MIN, and MAX are also briefly covered. The ISNULL function is introduced as a way to handle null values gracefully.
Intro to tsql unit 9
This document discusses data manipulation in SQL using the INSERT, UPDATE, and DELETE statements. It provides examples of inserting new data into tables, updating existing data, and deleting rows. Key points covered include using INSERT to add single or multiple rows, specifying column values or selecting from another table, updating single or multiple columns with expressions or selects, restricting rows with a WHERE clause, and deleting all rows or restricting with a WHERE clause. TRUNCATE is also discussed as a non-logged alternative to DELETE that empties the entire table.
Intro to tsql unit 8
The document discusses different ways to define defaults, rules, and constraints in SQL. It explains that defaults and rules can be created as independent objects and bound to columns or datatypes, allowing them to be reused more flexibly. It also describes how uniqueness is enforced through unique indexes and how precedence rules determine which constraints take effect when multiple are defined.
Intro to tsql unit 7
This document discusses database integrity in SQL. It covers various methods for enforcing integrity like constraints, defaults, indexes, primary keys, foreign keys and referential integrity. It provides examples of using these features to define integrity when creating or altering tables. Key points covered include the different types of constraints, how data is stored and indexed, and how to get help or modify existing constraints.
Intro to tsql unit 5
This document provides guidance on best practices for naming tables and columns in a SQL database, selecting appropriate data types, and creating tables. It discusses:
- Naming conventions for tables and columns
- Data type considerations and available exact numeric, approximate numeric, money, datetime, character, and binary data types
- User defined data types that can be created to enforce consistency
- Identity columns that automatically provide sequential values for new rows
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Intro to tsql unit 4
Relationships between tables in a database are implemented using keys, including primary keys that uniquely identify rows and foreign keys that link to primary keys in other tables. Different types of joins, including inner joins and outer joins, allow retrieving data from multiple tables based on the relationships between their keys. Primary keys, foreign keys, and different join types are essential concepts for querying and combining data from multiple related tables in a relational database.
Intro to tsql unit 3
This document provides an introduction to key SQL concepts like nulls, group by, order by, distinct, and aggregates. It explains that nulls represent missing or unknown values and cannot be compared to other values. The group by clause groups result rows based on columns and can be used with aggregates. Order by sorts result rows based on columns. Distinct removes duplicate rows from results. Aggregates like count, sum, and average perform calculations across rows in a group.
Intro to tsql unit 2
The document introduces various SQL techniques for limiting and filtering result sets using the WHERE clause, including compound criteria with AND and OR, comparisons, ranges, wildcards, escape characters, and pattern matching. Key points covered include filtering rows by state, combining multiple filters, using operators like BETWEEN, LIKE with wildcards, and matching patterns within brackets.
Intro to tsql unit 1
This document provides an introduction and overview of structured query language (SQL) and relational databases. It defines key SQL and database concepts like tables, rows, columns, and queries. It also describes the PUBS sample database that will be used in examples, and provides basic examples of SQL SELECT statements to retrieve data from tables, including selecting all columns, specific columns, and concatenating columns.
Intro to tsql unit 11
This document provides an introduction and overview of key SQL concepts including:
- Batches allow executing multiple SQL statements together, but an error in one statement fails the entire batch.
- Variables can be local or global. Local variables are declared and assigned values within a batch while global variables are managed by the server.
- Control flow structures like IF/ELSE, WHILE loops, and CASE statements allow conditional execution and repetition of SQL statements.
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