SQL Stored Procedures
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ACS-3902 Ron Mcfadyen Slides Are Based on Chapter 5 (7Th Edition)
ACS-3902 Ron McFadyen Slides are based on chapter 5 (7th edition) (chapter 3 in 6th edition) ACS-3902 1 The Relational Data Model and Relational Database Constraints • Relational model – Ted Codd (IBM) 1970 – First commercial implementations available in early 1980s – Widely used ACS-3902 2 Relational Model Concepts • Database is a collection of relations • Implementation of relation: table comprising rows and columns • In practice a table/relation represents an entity type or relationship type (entity-relationship model … later) • At intersection of a row and column in a table there is a simple value • Row • Represents a collection of related data values • Formally called a tuple • Column names • Columns may be referred to as fields, or, formally as attributes • Values in a column are drawn from a domain of values associated with the column/field/attribute ACS-3902 3 Relational Model Concepts 7th edition Figure 5.1 ACS-3902 4 Domains • Domain – Atomic • A domain is a collection of values where each value is indivisible • Not meaningful to decompose further – Specifying a domain • Name, data type, rules – Examples • domain of department codes for UW is a list: {“ACS”, “MATH”, “ENGL”, “HIST”, etc} • domain of gender values for UW is the list (“male”, “female”) – Cardinality: number of values in a domain – Database implementation & support vary ACS-3902 5 Domain example - PostgreSQL CREATE DOMAIN posint AS integer CHECK (VALUE > 0); CREATE TABLE mytable (id posint); INSERT INTO mytable VALUES(1); -- works INSERT INTO mytable VALUES(-1); -- fails https://www.postgresql.org/docs/current/domains.html ACS-3902 6 Domain example - PostgreSQL CREATE DOMAIN domain_code_type AS character varying NOT NULL CONSTRAINT domain_code_type_check CHECK (VALUE IN ('ApprovedByAdmin', 'Unapproved', 'ApprovedByEmail')); CREATE TABLE codes__domain ( code_id integer NOT NULL, code_type domain_code_type NOT NULL, CONSTRAINT codes_domain_pk PRIMARY KEY (code_id) ) ACS-3902 7 Relation • Relation schema R – Name R and a list of attributes: • Denoted by R (A1, A2, ...,An) • E.g. -
Not ACID, Not BASE, but SALT a Transaction Processing Perspective on Blockchains
Not ACID, not BASE, but SALT A Transaction Processing Perspective on Blockchains Stefan Tai, Jacob Eberhardt and Markus Klems Information Systems Engineering, Technische Universitat¨ Berlin fst, je, [email protected] Keywords: SALT, blockchain, decentralized, ACID, BASE, transaction processing Abstract: Traditional ACID transactions, typically supported by relational database management systems, emphasize database consistency. BASE provides a model that trades some consistency for availability, and is typically favored by cloud systems and NoSQL data stores. With the increasing popularity of blockchain technology, another alternative to both ACID and BASE is introduced: SALT. In this keynote paper, we present SALT as a model to explain blockchains and their use in application architecture. We take both, a transaction and a transaction processing systems perspective on the SALT model. From a transactions perspective, SALT is about Sequential, Agreed-on, Ledgered, and Tamper-resistant transaction processing. From a systems perspec- tive, SALT is about decentralized transaction processing systems being Symmetric, Admin-free, Ledgered and Time-consensual. We discuss the importance of these dual perspectives, both, when comparing SALT with ACID and BASE, and when engineering blockchain-based applications. We expect the next-generation of decentralized transactional applications to leverage combinations of all three transaction models. 1 INTRODUCTION against. Using the admittedly contrived acronym of SALT, we characterize blockchain-based transactions There is a common belief that blockchains have the – from a transactions perspective – as Sequential, potential to fundamentally disrupt entire industries. Agreed, Ledgered, and Tamper-resistant, and – from Whether we are talking about financial services, the a systems perspective – as Symmetric, Admin-free, sharing economy, the Internet of Things, or future en- Ledgered, and Time-consensual. -
Support Aggregate Analytic Window Function Over Large Data by Spilling
Support Aggregate Analytic Window Function over Large Data by Spilling Xing Shi and Chao Wang Guangdong University of Technology, Guangzhou, Guangdong 510006, China North China University of Technology, Beijing 100144, China Abstract. Analytic function, also called window function, is to query the aggregation of data over a sliding window. For example, a simple query over the online stock platform is to return the average price of a stock of the last three days. These functions are commonly used features in SQL databases. They are supported in most of the commercial databases. With the increasing usage of cloud data infra and machine learning technology, the frequency of queries with analytic window functions rises. Some analytic functions only require const space in memory to store the state, such as SUM, AVG, while others require linear space, such as MIN, MAX. When the window is extremely large, the memory space to store the state may be too large. In this case, we need to spill the state to disk, which is a heavy operation. In this paper, we proposed an algorithm to manipulate the state data in the disk to reduce the disk I/O to make spill available and efficiency. We analyze the complexity of the algorithm with different data distribution. 1. Introducion In this paper, we develop novel spill techniques for analytic window function in SQL databases. And discuss different various types of aggregate queries, e.g., COUNT, AVG, SUM, MAX, MIN, etc., over a relational table. Aggregate analytic function, also called aggregate window function, is to query the aggregation of data over a sliding window. -
Multiple Condition Where Clause Sql
Multiple Condition Where Clause Sql Superlunar or departed, Fazeel never trichinised any interferon! Vegetative and Czechoslovak Hendrick instructs tearfully and bellyings his tupelo dispensatorily and unrecognizably. Diachronic Gaston tote her endgame so vaporously that Benny rejuvenize very dauntingly. Codeigniter provide set class function for each mysql function like where clause, join etc. The condition into some tests to write multiple conditions that clause to combine two conditions how would you occasionally, you separate privacy: as many times. Sometimes, you may not remember exactly the data that you want to search. OR conditions allow you to test multiple conditions. All conditions where condition is considered a row. Issue date vary each bottle of drawing numbers. How sql multiple conditions in clause condition for column for your needs work now query you take on clauses within a static list. The challenge join combination for joining the tables is found herself trying all possibilities. TOP function, if that gives you no idea. New replies are writing longer allowed. Thank you for your feedback! Then try the examples in your own database! Here, we have to provide filters or conditions. The conditions like clause to make more content is used then will identify problems, model and arrangement of operators. Thanks for your help. Thanks for war help. Multiple conditions on the friendly column up the discount clause. This sql where clause, you have to define multiple values you, we have to basic syntax. But your suggestion is more readable and straight each way out implement. Use parenthesis to set of explicit groups of contents open source code. -
Object-Oriented Design of Database Stored Procedures (PDF)
Object-Oriented Design of Database Stored Procedures Michael Blaha, [email protected] Bill Huth, [email protected] Peter Cheung, [email protected] Abstract base I/O. One nice feature of SPs is their support for op- tional input parameters. An SP may have optional inputs Object-oriented (OO) software engineering techniques are if: (1) the definition lists all outputs before inputs and (2) often used with programming languages, but they also ap- optional inputs have default values. ply to relational databases. OO techniques are not only helpful for determining database structure, but also for de- 3. Financial Application Example signing stored procedure code. In fact, we were surprised by the magnitude of the stored procedure benefits. OO The examples in this article are based on an application for techniques boost development productivity as well as the managing syndicated loans. The loans can be huge, involv- quality, clarity, and maintainability of the resulting code. ing billions of dollars, and can arise from lending to gov- ernments and multinational corporations. Participation in a 1. Introduction loan must be spread across multiple lenders because the risk is too large for a single lender. Object-oriented (OO) techniques are versatile. They are not Figure 1 shows an excerpt of a UML class model for only helpful for developing programs and structuring data- the application. An Asset is something of value and can be bases, but they are also effective for designing stored proce- a Currency (such as US Dollars, Euros, and Yen), a Loan- dures. A stored procedure is programming code that runs in Instrument, or an OtherAsset (such as bonds and stock). -
10 Weeks to 0 Vulnerabilities Program
10 WEEKS TO 0 CRITICAL VULNERABILITIES INJECTION ATTACKS Sherif Koussa @skoussa 1 HOUSEKEEPING • Why we’re all here • Recording for internal training purposes • Slides will be provided after the session • Your mic will be muted, please use “Q&A” for any questions 2 ABOUT ME 2006 2008 2010 Joined SANS Mentor & Founded OWASP GIAC Consultant Software Secured 1999 2007 2009 2019 Software Founded Wells Fargo Founded Development OWASP Chapter Security Engineer Reshift Security Certifications: GSSP-Java, GSSP-NET, GWAPT 3 Reshift integrates with your modern software development pipeline to help your team find and fix vulnerabilities. Penetration Testing as a Service company based out of Ottawa, Canada. 4 10 WEEK SCHEDULE 1. April 10th: Injection 2. April 17th : Broken Authentication 3. April 24th: Sensitive data Exposure 4. May 1st : External Entity Injection 5. May 8th : Broken Access Control 6. May 15th: Security Misconfiguration 7. May 22nd: Cross-site Scripting 8. May 29th: Insecure Deserialization 9. June 5th: Using Components with Known Vulnerabilities 10. June 12th: Insufficient Logging and Monitoring 5 SESSION 1: AGENDA 1.What are Injection Attacks and their impacts 2.Injection Theory 3.Types of Injection Attacks: • SQL Injection (Exercise) • JavaScript Server Side Injection • NoSQL Injection 5.Injection Attacks Mitigation 6. Tools and Resources 6 WHAT ARE INJECTION ATTACKS Injection attacks denote a wide range of attacks targeting the server, where the attacker supplies untrusted input to software. This gets processed by an interpreter -
SQL DELETE Table in SQL, DELETE Statement Is Used to Delete Rows from a Table
SQL is a standard language for storing, manipulating and retrieving data in databases. What is SQL? SQL stands for Structured Query Language SQL lets you access and manipulate databases SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987 What Can SQL do? SQL can execute queries against a database SQL can retrieve data from a database SQL can insert records in a database SQL can update records in a database SQL can delete records from a database SQL can create new databases SQL can create new tables in a database SQL can create stored procedures in a database SQL can create views in a database SQL can set permissions on tables, procedures, and views Using SQL in Your Web Site To build a web site that shows data from a database, you will need: An RDBMS database program (i.e. MS Access, SQL Server, MySQL) To use a server-side scripting language, like PHP or ASP To use SQL to get the data you want To use HTML / CSS to style the page RDBMS RDBMS stands for Relational Database Management System. RDBMS is the basis for SQL, and for all modern database systems such as MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access. The data in RDBMS is stored in database objects called tables. A table is a collection of related data entries and it consists of columns and rows. SQL Table SQL Table is a collection of data which is organized in terms of rows and columns. -
Polymorphic Stored Procedure? Venkat Subramaniam [email protected]
Polymorphic Stored Procedure? Venkat Subramaniam [email protected] http://www.durasoftcorp.com/download Abstract A typical user of JDBC or ASP.NET issues a SQL query to the underlying database, grabs the fields returned by the record set/result set (or dataset) and then populates an object with the data fetched. Not considering the use of Entity Beans and JDO in Java, what does one do if the object being fetched is one of several types derived from a common base type? This article addresses one way this can be solved in an extensible manner. A Simple Data Access Scenario For some one who has spent significant time developing OO applications that used object-oriented databases and those that did not use any database at all, it is painful to use a relational database with objects. I am sure you have heard people with OODBMS experience talk about data access impedance mismatch when it comes to storing an object in a relational database. You hear less of this now than you did in the early nineties. While there is some market for ODBMS still, I have come to agree that relational databases are here to stay. After developing a couple of applications using relational databases, I was pondering about arriving at a solution to the problem of mapping the inheritance hierarchy in an extensible way. Is this really a good approach to follow, is for you to decide. I simply present here my thoughts on what I tried recently. Your comments are most welcome. Let’s consider a database with four tables: Customer, Account, CheckingAccount, SavingsAccount. -
SQL and Management of External Data
SQL and Management of External Data Jan-Eike Michels Jim Melton Vanja Josifovski Oracle, Sandy, UT 84093 Krishna Kulkarni [email protected] Peter Schwarz Kathy Zeidenstein IBM, San Jose, CA {janeike, vanja, krishnak, krzeide}@us.ibm.com [email protected] SQL/MED addresses two aspects to the problem Guest Column Introduction of accessing external data. The first aspect provides the ability to use the SQL interface to access non- In late 2000, work was completed on yet another part SQL data (or even SQL data residing on a different of the SQL standard [1], to which we introduced our database management system) and, if desired, to join readers in an earlier edition of this column [2]. that data with local SQL data. The application sub- Although SQL database systems manage an mits a single SQL query that references data from enormous amount of data, it certainly has no monop- multiple sources to the SQL-server. That statement is oly on that task. Tremendous amounts of data remain then decomposed into fragments (or requests) that are in ordinary operating system files, in network and submitted to the individual sources. The standard hierarchical databases, and in other repositories. The does not dictate how the query is decomposed, speci- need to query and manipulate that data alongside fying only the interaction between the SQL-server SQL data continues to grow. Database system ven- and foreign-data wrapper that underlies the decompo- dors have developed many approaches to providing sition of the query and its subsequent execution. We such integrated access. will call this part of the standard the “wrapper inter- In this (partly guested) article, SQL’s new part, face”; it is described in the first half of this column. -
Oracle Database Advanced Application Developer's Guide, 11G Release 2 (11.2) E17125-03
Oracle® Database Advanced Application Developer's Guide 11g Release 2 (11.2) E17125-03 August 2010 Oracle Database Advanced Application Developer's Guide, 11g Release 2 (11.2) E17125-03 Copyright © 1996, 2010, Oracle and/or its affiliates. All rights reserved. Primary Author: Sheila Moore Contributing Authors: D. Adams, L. Ashdown, M. Cowan, J. Melnick, R. Moran, E. Paapanen, J. Russell, R. Strohm, R. Ward Contributors: D. Alpern, G. Arora, C. Barclay, D. Bronnikov, T. Chang, L. Chen, B. Cheng, M. Davidson, R. Day, R. Decker, G. Doherty, D. Elson, A. Ganesh, M. Hartstein, Y. Hu, J. Huang, C. Iyer, N. Jain, R. Jenkins Jr., S. Kotsovolos, V. Krishnaswamy, S. Kumar, C. Lei, B. Llewellyn, D. Lorentz, V. Moore, K. Muthukkaruppan, V. Moore, J. Muller, R. Murthy, R. Pang, B. Sinha, S. Vemuri, W. Wang, D. Wong, A. Yalamanchi, Q. Yu This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this software or related documentation is delivered to the U.S. -
Database SQL Call Level Interface 7.1
IBM IBM i Database SQL call level interface 7.1 IBM IBM i Database SQL call level interface 7.1 Note Before using this information and the product it supports, read the information in “Notices,” on page 321. This edition applies to IBM i 7.1 (product number 5770-SS1) and to all subsequent releases and modifications until otherwise indicated in new editions. This version does not run on all reduced instruction set computer (RISC) models nor does it run on CISC models. © Copyright IBM Corporation 1999, 2010. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents SQL call level interface ........ 1 SQLExecute - Execute a statement ..... 103 What's new for IBM i 7.1 .......... 1 SQLExtendedFetch - Fetch array of rows ... 105 PDF file for SQL call level interface ....... 1 SQLFetch - Fetch next row ........ 107 Getting started with DB2 for i CLI ....... 2 SQLFetchScroll - Fetch from a scrollable cursor 113 | Differences between DB2 for i CLI and embedded SQLForeignKeys - Get the list of foreign key | SQL ................ 2 columns .............. 115 Advantages of using DB2 for i CLI instead of SQLFreeConnect - Free connection handle ... 120 embedded SQL ............ 5 SQLFreeEnv - Free environment handle ... 121 Deciding between DB2 for i CLI, dynamic SQL, SQLFreeHandle - Free a handle ...... 122 and static SQL ............. 6 SQLFreeStmt - Free (or reset) a statement handle 123 Writing a DB2 for i CLI application ....... 6 SQLGetCol - Retrieve one column of a row of Initialization and termination tasks in a DB2 for i the result set ............ 125 CLI application ............ 7 SQLGetConnectAttr - Get the value of a Transaction processing task in a DB2 for i CLI connection attribute ......... -
SQL Version Analysis
Rory McGann SQL Version Analysis Structured Query Language, or SQL, is a powerful tool for interacting with and utilizing databases through the use of relational algebra and calculus, allowing for efficient and effective manipulation and analysis of data within databases. There have been many revisions of SQL, some minor and others major, since its standardization by ANSI in 1986, and in this paper I will discuss several of the changes that led to improved usefulness of the language. In 1970, Dr. E. F. Codd published a paper in the Association of Computer Machinery titled A Relational Model of Data for Large shared Data Banks, which detailed a model for Relational database Management systems (RDBMS) [1]. In order to make use of this model, a language was needed to manage the data stored in these RDBMSs. In the early 1970’s SQL was developed by Donald Chamberlin and Raymond Boyce at IBM, accomplishing this goal. In 1986 SQL was standardized by the American National Standards Institute as SQL-86 and also by The International Organization for Standardization in 1987. The structure of SQL-86 was largely similar to SQL as we know it today with functionality being implemented though Data Manipulation Language (DML), which defines verbs such as select, insert into, update, and delete that are used to query or change the contents of a database. SQL-86 defined two ways to process a DML, direct processing where actual SQL commands are used, and embedded SQL where SQL statements are embedded within programs written in other languages. SQL-86 supported Cobol, Fortran, Pascal and PL/1.