Sql Stored Routines
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Sql Create Table Variable from Select
Sql Create Table Variable From Select Do-nothing Dory resurrect, his incurvature distasting crows satanically. Sacrilegious and bushwhacking Jamey homologising, but Harcourt first-hand coiffures her muntjac. Intertarsal and crawlier Towney fanes tenfold and euhemerizing his assistance briskly and terrifyingly. How to clean starting value inside of data from select statements and where to use matlab compiler to store sql, and then a regular join You may not supported for that you are either hive temporary variable table. Before we examine the specific methods let's create an obscure procedure. INSERT INTO EXEC sql server exec into table. Now you can show insert update delete and invent all operations with building such as in pay following a write i like the Declare TempTable. When done use t or t or when to compact a table variable t. Procedure should create the temporary tables instead has regular tables. Lesson 4 Creating Tables SQLCourse. EXISTS tmp GO round TABLE tmp id int NULL SELECT empire FROM. SQL Server How small Create a Temp Table with Dynamic. When done look sir the Execution Plan save the SELECT Statement SQL Server is. Proc sql create whole health will select weight married from myliboutdata ORDER to weight ASC. How to add static value while INSERT INTO with cinnamon in a. Ssrs invalid object name temp table. Introduction to Table Variable Deferred Compilation SQL. How many pass the bash array in 'right IN' clause will select query. Creating a pope from public Query Vertica. Thus attitude is no performance cost for packaging a SELECT statement into an inline. -
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. -
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). -
Look out the Window Functions and Free Your SQL
Concepts Syntax Other Look Out The Window Functions and free your SQL Gianni Ciolli 2ndQuadrant Italia PostgreSQL Conference Europe 2011 October 18-21, Amsterdam Look Out The Window Functions Gianni Ciolli Concepts Syntax Other Outline 1 Concepts Aggregates Different aggregations Partitions Window frames 2 Syntax Frames from 9.0 Frames in 8.4 3 Other A larger example Question time Look Out The Window Functions Gianni Ciolli Concepts Syntax Other Aggregates Aggregates 1 Example of an aggregate Problem 1 How many rows there are in table a? Solution SELECT count(*) FROM a; • Here count is an aggregate function (SQL keyword AGGREGATE). Look Out The Window Functions Gianni Ciolli Concepts Syntax Other Aggregates Aggregates 2 Functions and Aggregates • FUNCTIONs: • input: one row • output: either one row or a set of rows: • AGGREGATEs: • input: a set of rows • output: one row Look Out The Window Functions Gianni Ciolli Concepts Syntax Other Different aggregations Different aggregations 1 Without window functions, and with them GROUP BY col1, . , coln window functions any supported only PostgreSQL PostgreSQL version version 8.4+ compute aggregates compute aggregates via by creating groups partitions and window frames output is one row output is one row for each group for each input row Look Out The Window Functions Gianni Ciolli Concepts Syntax Other Different aggregations Different aggregations 2 Without window functions, and with them GROUP BY col1, . , coln window functions only one way of aggregating different rows in the same for each group -
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 -
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. -
How to Get Data from Oracle to Postgresql and Vice Versa Who We Are
How to get data from Oracle to PostgreSQL and vice versa Who we are The Company > Founded in 2010 > More than 70 specialists > Specialized in the Middleware Infrastructure > The invisible part of IT > Customers in Switzerland and all over Europe Our Offer > Consulting > Service Level Agreements (SLA) > Trainings > License Management How to get data from Oracle to PostgreSQL and vice versa 19.06.2020 Page 2 About me Daniel Westermann Principal Consultant Open Infrastructure Technology Leader +41 79 927 24 46 daniel.westermann[at]dbi-services.com @westermanndanie Daniel Westermann How to get data from Oracle to PostgreSQL and vice versa 19.06.2020 Page 3 How to get data from Oracle to PostgreSQL and vice versa Before we start We have a PostgreSQL user group in Switzerland! > https://www.swisspug.org Consider supporting us! How to get data from Oracle to PostgreSQL and vice versa 19.06.2020 Page 4 How to get data from Oracle to PostgreSQL and vice versa Before we start We have a PostgreSQL meetup group in Switzerland! > https://www.meetup.com/Switzerland-PostgreSQL-User-Group/ Consider joining us! How to get data from Oracle to PostgreSQL and vice versa 19.06.2020 Page 5 Agenda 1.Past, present and future 2.SQL/MED 3.Foreign data wrappers 4.Demo 5.Conclusion How to get data from Oracle to PostgreSQL and vice versa 19.06.2020 Page 6 Disclaimer This session is not about logical replication! If you are looking for this: > Data Replicator from DBPLUS > https://blog.dbi-services.com/real-time-replication-from-oracle-to-postgresql-using-data-replicator-from-dbplus/ -
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. -
SQL Stored Procedures
Agenda Key:31MA Session Number:409094 DB2 for IBM i: SQL Stored Procedures Tom McKinley ([email protected]) DB2 for IBM i consultant IBM Lab Services 8 Copyright IBM Corporation, 2009. All Rights Reserved. This publication may refer to products that are not currently available in your country. IBM makes no commitment to make available any products referred to herein. What is a Stored Procedure? • Just a called program – Called from SQL-based interfaces via SQL CALL statement • Supports input and output parameters – Result sets on some interfaces • Follows security model of iSeries – Enables you to secure your data – iSeries adopted authority model can be leveraged • Useful for moving host-centric applications to distributed applications 2 © 2009 IBM Corporation What is a Stored Procedure? • Performance savings in distributed computing environments by dramatically reducing the number of flows (requests) to the database engine – One request initiates multiple transactions and processes R R e e q q u u DB2 for i5/OS DB2DB2 for for i5/OS e e AS/400 s s t t SP o o r r • Performance improvements further enhanced by the option of providing result sets back to ODBC, JDBC, .NET & CLI clients 3 © 2009 IBM Corporation Recipe for a Stored Procedure... 1 Create it CREATE PROCEDURE total_val (IN Member# CHAR(6), OUT total DECIMAL(12,2)) LANGUAGE SQL BEGIN SELECT SUM(curr_balance) INTO total FROM accounts WHERE account_owner=Member# AND account_type IN ('C','S','M') END 2 Call it (from an SQL interface) over and over CALL total_val(‘123456’, :balance) 4 © 2009 IBM Corporation Stored Procedures • DB2 for i5/OS supports two types of stored procedures 1. -
Firebird 3 Windowing Functions
Firebird 3 Windowing Functions Firebird 3 Windowing Functions Author: Philippe Makowski IBPhoenix Email: pmakowski@ibphoenix Licence: Public Documentation License Date: 2011-11-22 Philippe Makowski - IBPhoenix - 2011-11-22 Firebird 3 Windowing Functions What are Windowing Functions? • Similar to classical aggregates but does more! • Provides access to set of rows from the current row • Introduced SQL:2003 and more detail in SQL:2008 • Supported by PostgreSQL, Oracle, SQL Server, Sybase and DB2 • Used in OLAP mainly but also useful in OLTP • Analysis and reporting by rankings, cumulative aggregates Philippe Makowski - IBPhoenix - 2011-11-22 Firebird 3 Windowing Functions Windowed Table Functions • Windowed table function • operates on a window of a table • returns a value for every row in that window • the value is calculated by taking into consideration values from the set of rows in that window • 8 new windowed table functions • In addition, old aggregate functions can also be used as windowed table functions • Allows calculation of moving and cumulative aggregate values. Philippe Makowski - IBPhoenix - 2011-11-22 Firebird 3 Windowing Functions A Window • Represents set of rows that is used to compute additionnal attributes • Based on three main concepts • partition • specified by PARTITION BY clause in OVER() • Allows to subdivide the table, much like GROUP BY clause • Without a PARTITION BY clause, the whole table is in a single partition • order • defines an order with a partition • may contain multiple order items • Each item includes -
Relational Algebra and SQL Relational Query Languages
Relational Algebra and SQL Chapter 5 1 Relational Query Languages • Languages for describing queries on a relational database • Structured Query Language (SQL) – Predominant application-level query language – Declarative • Relational Algebra – Intermediate language used within DBMS – Procedural 2 1 What is an Algebra? · A language based on operators and a domain of values · Operators map values taken from the domain into other domain values · Hence, an expression involving operators and arguments produces a value in the domain · When the domain is a set of all relations (and the operators are as described later), we get the relational algebra · We refer to the expression as a query and the value produced as the query result 3 Relational Algebra · Domain: set of relations · Basic operators: select, project, union, set difference, Cartesian product · Derived operators: set intersection, division, join · Procedural: Relational expression specifies query by describing an algorithm (the sequence in which operators are applied) for determining the result of an expression 4 2 The Role of Relational Algebra in a DBMS 5 Select Operator • Produce table containing subset of rows of argument table satisfying condition σ condition (relation) • Example: σ Person Hobby=‘stamps’(Person) Id Name Address Hobby Id Name Address Hobby 1123 John 123 Main stamps 1123 John 123 Main stamps 1123 John 123 Main coins 9876 Bart 5 Pine St stamps 5556 Mary 7 Lake Dr hiking 9876 Bart 5 Pine St stamps 6 3 Selection Condition • Operators: <, ≤, ≥, >, =, ≠ • Simple selection -
2.2 Update, Insert, Delete Stored Procedure Examples
SYSTEMS DESIGN / CAPSTONE PROJECT MIS 413 User Guide 2.2 Creating Update, Insert and Delete Stored Procedures This guide will demonstrate building Insert, Update and Delete Stored Procedures with a few input parameters using the Query Editor Tool. They all assume you have a person table with a personID (auto number), FN, LN, Email, PWD attributes. Example A: Update Stored Procedure The easiest manner to create a stored procedure is to let the wizard in SQL assist you. 1) Open SQL and the proper database 2) Expand the ‘programmability’ tab under your database 3) Right click on stored procedures and click ‘new stored procedure’ 4) Consistent and proper naming of your stored procedure will help you and future developers understand their purpose. A guideline for this class would be: Name of the Table, the Operation (select, update, etc.), Optional Word(s) as in: personUpdate 5) Add your name of the procedure (without the < > brackets) as in: CREATE PROCEDURE personUpdate in the first row of the stored procedure. 6) To build your first UPDATE, use the Design in Query Editor Option. Delete the following row in your Stored Procedure: SELECT <@Param1, sysname, @p1>, <@Param2, sysname, @p2> 7) Then right click in the blank area and select DESIGN IN QUERY EDITOR A dialog box will appear and select the name of the table to be updated. A general rule is you will only UPDATE one table at a time. Do not try to UPDATE 2 or more tables with one UPDATE statement. If you need to update more than one table, you can do two separate UPDATE statements in the same Stored Procedure.