Home
Search results “Function oracle deterministic”
Efficient Function Calls From SQL (Part 2) : The DETERMINISTIC Hint
 
03:05
The second part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we take a look at the DETERMINISTIC hint. For more information see: https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#deterministic-hint Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Dana Singleterry : Blog: https://blogs.oracle.com/dana/ Twitter: https://twitter.com/dsingleterry Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2175 ORACLE-BASE.com
Efficient Function Calls From SQL (Part 5) : Pipelined Table Functions
 
03:48
The fifth part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we compare the performance of conventions table functions with pipelined table functions. For more information see: https://oracle-base.com/articles/misc/pipelined-table-functions https://oracle-base.com/articles/misc/efficient-function-calls-from-sql Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Mike Dietrich : Blog: https://blogs.oracle.com/UPGRADE Twitter: https://twitter.com/MikeDietrichDE Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 10748 ORACLE-BASE.com
Efficient Function Calls From SQL (Part 3) : PL/SQL Function Result Cache
 
02:11
The third part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we take a look at the Cross-Session PL/SQL Function Result Cache introduced in Oracle 11g. For more information see: https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#oracle-11g-caching https://oracle-base.com/articles/11g/cross-session-plsql-function-result-cache-11gr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Auckland Oracle DBAs Meetup : Website: http://www.meetup.com/Auckland-Oracle-DBAs-Meetup/ Sponsors: - DBvisit: http://www.dbvisit.com/ - Datacom: http://www.datacom.co.nz/ - Oracle New Zealand: http://www.oracle.com/ - Pythian: http://www.pythian.com/ - Enterprise IT: http://www.enterpriseit.co.nz/ Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2766 ORACLE-BASE.com
Oracle CAST Function
 
03:23
https://www.databasestar.com/oracle-cast/ The Oracle CAST function allows you to convert one data type to another. It’s similar to the TO_NUMBER, TO_DATE, and TO_CHAR functions, but allows for more functionality, including converting to many other data types. The syntax of the CAST function is: CAST( {expr | MULTISET (subquery) } AS type_name ) The structure of this function is different to other functions, because it uses the word AS to separate parameters rather than a comma. You can run this function like many other functions, on a single row, which would look like this: CAST( expr AS type_name ) Or, you can run it as though it’s a subquery, using the MULTISET feature: CAST( MULTISET (subquery) AS type_name ) The parameters of the CAST function are: - expr (mandatory choice): This is the value or expression that is to be converted to another data type. - MULTISET (optional): This keyword indicates that the subquery results will return multiple rows, and are then CAST into a collection value. If this is omitted, and the subquery returns multiple rows, it will only return a single row. - subquery (mandatory choice): This is the subquery that can be run to be converted into a collection data type. - type_name (mandatory): This is the Oracle data type that the expr or subquery will be converted to. There are several data types that are compatible with the CAST function, both for converting from and to. You can find the full list in the article mentioned below. For more information about the Oracle CAST function, including all of the SQL shown in this video and the examples, read the related article here: https://www.databasestar.com/oracle-cast/
Views: 1684 Database Star
Rev up your Oracle Functions using Result Cache
 
11:56
Dan shows you how to dramatically increase function response time using a newer Oracle memory structure called Result Cache. Still on Oracle10? Dan has a solution for you as well.
Views: 113 Dan Hotka
Use NOCOPY to Improve Performance
 
05:15
The NOCOPY parameter hint tells the PL/SQL compiler to pass OUT and IN-OUT parameters "by reference" (meaning: do not copy in, nor copy out). The result is better performance and reduced PGA consumption. ====================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Optimizing SQL Performance
 
51:42
Held on July 12 2018 In July's session we mainly looked at performance. Highlights include: 1:30 How does the database process subqueries? 5:20 Performance: comparing insert ... select to create tmp table, insert select from tmp; DDL in PL/SQL; dynamic SQL problems 12:45 18c private temporary tables; tables specific to a session; DDL you can rollback across! 21:00 Improving update performance: things to watch for; insert vs. update; "join-update" - create a view instead; create table as select "update" 34:05 Analytic function performance: first_value non-determinism; min keep vs first_value; computing function in a subquery; indexes for analytic functions AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists. https://asktom.oracle.com/ Oracle Developers portal: https://developer.oracle.com/ Sign up for an Oracle Cloud trial: https://cloud.oracle.com/en_US/tryit music: bensound.com
Views: 309 Oracle Developers
Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions
 
33:09
Rocco Servedio, Columbia University Real Analysis in Testing, Learning and Inapproximability http://simons.berkeley.edu/talks/rocco-servedio-2013-08-28
Views: 249 Simons Institute
How to return multiple values from a function in oracle pl/sql ? (without using out parameter)
 
14:19
This video demonstrates how a function can return multiple values to the calling environment, but without using multiple out parameters, the video shows an example on how we can create a object, a nested table based on the object and then returning the nested table type from the function.
Views: 16356 Kishan Mashru
Efficient Function Calls From SQL (Part 6) : Function-Based Indexes
 
02:20
The sixth part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we look at using function-based indexes to improve the performance of queries that use function calls in the WHERE clause. For more information see: https://oracle-base.com/articles/8i/function-based-indexes https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#functions-in-the-where-clause Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Ronald Bradford : Blog: http://ronaldbradford.com/blog/ Twitter: https://twitter.com/RonaldBradford Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 1375 ORACLE-BASE.com
Oracle Function Result Cache | Steven Feuerstein
 
02:35
Returning for his seventh 2 Minute Tech Tip, Oracle architect and "Oracle PL/SQL Programming 6e" author Steven Feuerstein delivers the details on the Function Result Cache, a feature introduced in Oracle Database 11g that can add a performance boost to your applications.
Data 101: Probabilistic vs  Deterministic Data
 
00:57
Everyone talks about data-driven marketing, but what does that really mean? Is one audience truly different from the next? Join the Oracle Data Cloud team as we begin to explore today’s best ways to think about and utilize data. Together, we will use real world examples and insights to enable you to connect with your customers in a more genuine, personal way. Our goal is simple - to help brands better connect with their customers. Follow us on Twitter.com/OracleDataCloud Like us on Facebook.com/OracleDataCloud Read more at Blogs.Oracle.com/OracleDataCloud
Views: 597 Oracle Data Cloud
Oracle Function Pipelined
 
13:21
Como criar function pipelined
Views: 2739 MasterTraining
79/125 Oracle PLSQL: Design consideration  / parallel_enable/ result_cache
 
13:48
تعلم اوراكل حتى الاحتراف Learn Oracle PLSQL EXAM 1Z0-144 https://docs.oracle.com/database/121/DBLIC/editions.htm#DBLIC116
Views: 435 khaled alkhudari
SQL Model Clause - 01 - An Introduction
 
10:48
SQL Model Clause - Series 01
Views: 230 Rajeshwaran Jeyabal
Oracle Performance - Result Cache Exercises
 
11:09
Oracle Performance - Result Cache Exercises
Views: 650 The Silent DBA
PL/SQL tutorial 48: Declare User-Define Exception using RAISE_APPLICATION_ERROR
 
06:39
Manish Sharma from RebellionRider.com presents PL/SQL Tutorial on How To Declare User-Define Exception using RAISE_APPLICATION_ERROR in Oracle Database ------------------------------------------------------------------------ ►►►LINKS◄◄◄ Blog : http://bit.ly/user-define-exception-2 Previous Tutorial ► ------------------------------------------------------------------------- ►Make sure you SUBSCRIBE and be the 1st one to see my videos! ------------------------------------------------------------------------- ►►►Find me on Social Media◄◄◄ Follow What I am up to as it happens on https://twitter.com/rebellionrider http://instagram.com/rebellionrider https://plus.google.com/+Rebellionrider http://in.linkedin.com/in/mannbhardwaj/ ___Facebook Official Page___ https://www.facebook.com/RebellionRider.official/ You can also Email me at for E-mail address please check the About section Please please LIKE and SHARE my videos it makes me happy. Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com ♥ I LOVE ALL MY VIEWERS AND SUBSCRIBERS
Views: 17281 Manish Sharma
Join Elimination in Oracle
 
03:11
What better way to improve performance than to actually remove some of your code? That's exactly what Oracle can do in some circumstances using join elimination. For more information see: https://oracle-base.com/articles/misc/join-elimination Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Pablo Ciccarello : Website: http://www.iristools.com/en/home/ Twitter: https://twitter.com/pablociccarello Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 853 ORACLE-BASE.com
String Matching with Finite Automata
 
07:36
A video lesson explaining a string matching algorithm for finite automata.
Views: 29661 Kai Hammond
Oracle Function Pipelined
 
13:21
what is oracle PIPELINED FUNCTION
Views: 421 Gees info
Analytic Functions: Databases for Developers #13
 
05:42
Analytic or windowing functions are one of the most powerful features of SQL. They allow you do to things like: - Add running totals - Generate row numbers - Calculate moving averages This video explains how to use them to analyze your data. Want to learn more? Take the course! https://devgym.oracle.com/pls/apex/dg/class/databases-for-developers-next-level.html Further reading: Analytic functions in the docs: https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Analytic-Functions.html Analytic SQL video series: https://www.youtube.com/watch?v=0cjxYMxa1e4&list=PLJMaoEWvHwFIUwMrF4HLnRksF0H8DHGtt Need help with SQL? Ask us over on AskTOM: https://asktom.oracle.com Twitter: https://twitter.com/ChrisRSaxon Daily SQL Twitter tips: https://twitter.com/SQLDaily All Things SQL blog: https://blogs.oracle.com/sql/ ============================ The Magic of SQL with Chris Saxon Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 747 The Magic of SQL
How to create Virtual Columns in Oracle Database
 
09:02
How to create Virtual Columns in Oracle Database 12c When queried, virtual columns appear to be normal table columns, but their values are derived rather than being stored on disc. The syntax for defining a virtual column is listed below. column_name [datatype] [GENERATED ALWAYS] AS (expression) [VIRTUAL] If the datatype is omitted, it is determined based on the result of the expression. The GENERATED ALWAYS and VIRTUAL keywords are provided for clarity only. The script below creates and populates an employees table with two levels of commission. It includes two virtual columns to display the commission-based salary. The first uses the most abbreviated syntax while the second uses the most verbose form. CREATE TABLE employees ( id NUMBER, first_name VARCHAR2(10), last_name VARCHAR2(10), salary NUMBER(9,2), comm1 NUMBER(3), comm2 NUMBER(3), salary1 AS (ROUND(salary*(1+comm1/100),2)), salary2 NUMBER GENERATED ALWAYS AS (ROUND(salary*(1+comm2/100),2)) VIRTUAL, CONSTRAINT employees_pk PRIMARY KEY (id) ); INSERT INTO employees (id, first_name, last_name, salary, comm1, comm2) VALUES (1, 'JOHN', 'DOE', 100, 5, 10); INSERT INTO employees (id, first_name, last_name, salary, comm1, comm2) VALUES (2, 'JAYNE', 'DOE', 200, 10, 20); COMMIT; Querying the table shows the inserted data plus the derived commission-based salaries. SELECT * FROM employees; ID FIRST_NAME LAST_NAME SALARY COMM1 COMM2 SALARY1 SALARY2 ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- 1 JOHN DOE 100 5 10 105 110 2 JAYNE DOE 200 10 20 220 240 2 rows selected. SQL The expression used to generate the virtual column is listed in the DATA_DEFAULT column of the [DBA|ALL|USER]_TAB_COLUMNS views. COLUMN data_default FORMAT A50 SELECT column_name, data_default FROM user_tab_columns WHERE table_name = 'EMPLOYEES'; COLUMN_NAME DATA_DEFAULT ------------------------------ -------------------------------------------------- ID FIRST_NAME LAST_NAME SALARY COMM1 COMM2 SALARY1 ROUND("SALARY"*(1+"COMM1"/100),2) SALARY2 ROUND("SALARY"*(1+"COMM2"/100),2) 8 rows selected. SQL Notes and restrictions on virtual columns include: 1)Indexes defined against virtual columns are equivalent to function-based indexes. 2)Virtual columns can be referenced in the WHERE clause of updates and deletes, but they cannot be manipulated by DML. 3)Tables containing virtual columns can still be eligible for result caching. 4)Functions in expressions must be deterministic at the time of table creation, but can subsequently be recompiled and made non-deterministic without invalidating the virtual column. In such cases the following steps must be taken after the function is recompiled: a)Constraint on the virtual column must be disabled and re-enabled. b)Indexes on the virtual column must be rebuilt. c)Materialized views that access the virtual column must be fully refreshed. d)The result cache must be flushed if cached queries have accessed the virtual column. e)Table statistics must be regathered. 5)Virtual columns are not supported for index-organized, external, object, cluster, or temporary tables. 6)The expression used in the virtual column definition has the following restrictions: a.It cannot refer to another virtual column by name. b.It can only refer to columns defined in the same table. c.If it refers to a deterministic user-defined function, it cannot be used as a partitioning key column. e.The output of the expression must be a scalar value. It cannot return an Oracle supplied datatype, a user-defined type, or LOB or LONG RAW.
Views: 400 OracleDBA
Efficient Function Calls From SQL (Part 1) : Scalar Subquery Caching
 
02:33
The first part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we take a look at Scalar Subquery Caching. For more information see: https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#scalar-subquery-caching Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Bruno Borges : Blog: https://blogs.oracle.com/brunoborges/ Website: http://brunoborges.com/ Twitter: https://twitter.com/brunoborges Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2244 ORACLE-BASE.com
Efficient Function Calls From SQL (Part 4) : Scalar Subquery Caching vs PL/SQL Function Result Cache
 
02:09
The fourth part of a mini-series of videos showing how you can improve the performance of function calls from SQL. In this episode, we compare Scalar Subquery Caching with the the Cross-Session PL/SQL Function Result Cache to see which we should use for best performance. For more information see: https://oracle-base.com/articles/misc/efficient-function-calls-from-sql#scalar-subquery-caching-revisited Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Alex Gorbachev : Blog: http://www.oracloid.com/ Twitter: https://twitter.com/alexgorbachev Website: http://www.pythian.com/about/alex-gorbachev/ Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 1485 ORACLE-BASE.com
EXAMPLE FOR AUTHID CURRENT USER AND AUTHID INVOKER
 
12:08
This is an example to show that how you can use invoker rights in procedure . We user authid current_user and authid invoker clause.
Views: 1147 Pushpjeet Cholkar
Function Calls From SQL  Pipelined Table Functions
 
03:48
Function from SQL pipeline table
Views: 221 Gees info
Oracle SUBSTR and INSTR example
 
06:00
In this video, we will see how to use Oracle SUBSTR and INSTR functions in a nested manner.
Views: 1855 Ganesh Anbarasu
WITH Clause : PL/SQL Declaration Section in Oracle Database 12c
 
03:59
An explanation of how to use the PL/SQL declaration section in the WITH clause in Oracle Database 12c. For more information see: https://oracle-base.com/articles/12c/with-clause-enhancements-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Chris Muir Blog: https://blogs.oracle.com/onesizedoesntfitall/ Twitter: https://twitter.com/chriscmuir Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 14146 ORACLE-BASE.com
MNG3: Compile-Time Warnings in PL/SQL (PL/SQL Channel)
 
29:27
In this video, I explore compile-time warnings, a fantastic feature of the PL/SQL compiler that will help you improve the quality and performance of your code, and increase your awareness of the full feature set of the PL/SQL language. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Oracle Hints explained
 
42:56
Oracle Hints
Views: 300 Telugu Blast News
Oracle LOBS
 
31:33
Oracle LOBS
Views: 1692 The Silent DBA
COL11: Set-Level Manipulation of Nested Tables (MULTISET)
 
22:23
Oracle offers set-level operators and functions to manipulate nested tables. You can perform unions and intersects, check nested tables for equality and more. This lessons explores the MULTISET features of nested tables in detail. This video was taken from PLSQLChannel.com, originally recorded before Steven Feuerstein re-joined Oracle in March 2014. ======================================== Practically Perfect PL/SQL with Steven Feuerstein Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
What is DETERMINISTIC ENCRYPTION? What does DETERMINISTIC ENCRYPTION mean?
 
04:27
What is DETERMINISTIC ENCRYPTION? What does DETERMINISTIC ENCRYPTION mean? DETERMINISTIC ENCRYPTION meaning - DETERMINISTIC ENCRYPTION definition - DETERMINISTIC ENCRYPTION explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A deterministic encryption scheme (as opposed to a probabilistic encryption scheme) is a cryptosystem which always produces the same ciphertext for a given plaintext and key, even over separate executions of the encryption algorithm. Examples of deterministic encryption algorithms include RSA cryptosystem (without encryption padding), and many block ciphers when used in ECB mode or with a constant initialization vector. Deterministic encryption can leak information to an eavesdropper, who may recognize known ciphertexts. For example, when an adversary learns that a given ciphertext corresponds to some interesting message, they can learn something every time that ciphertext is transmitted. To gain information about the meaning of various ciphertexts, an adversary might perform a statistical analysis of messages transmitted over an encrypted channel, or attempt to correlate ciphertexts with observed actions (e.g., noting that a given ciphertext is always received immediately before a submarine dive). This concern is particularly serious in the case of public key cryptography, where any party can encrypt chosen messages using a public encryption key. In this case, the adversary can build a large "dictionary" of useful plaintext/ciphertext pairs, then observe the encrypted channel for matching ciphertexts. While deterministic encryption schemes can never be semantically secure, they have some advantages over probabilistic schemes. One primary motivation for the use of deterministic encryption is the efficient searching of encrypted data. Suppose a client wants to outsource a database to a possibly untrusted database service provider. If each entry is encrypted using a public-key cryptosystem, anyone can add to the database, and only the distinguished "receiver" who has the private key can decrypt the database entries. If, however, the receiver wants to search for a specific record in the database, this becomes very difficult. There are some Public Key encryption schemes that allow keyword search, however these schemes all require search time linear in the database size. If the database entries were encrypted with a deterministic scheme and sorted, then a specific field of the database could be retrieved in logarithmic time. Assuming that a deterministic encryption scheme is going to be used, it is important to understand what is the maximum level of security that can be guaranteed. A number of works have focused on this exact problem. The first work to rigorously define security for a deterministic scheme was in CRYPTO 2007. This work provided fairly strong security definitions (although weaker than semantic security), and gave constructions in the random oracle model. Two follow-up works appeared the next year in CRYPTO 2008, giving definitional equivalences and constructions without random oracles , . To counter this problem, cryptographers proposed the notion of "randomized" or probabilistic encryption. Under these schemes, a given plaintext can encrypt to one of a very large set of possible ciphertexts, chosen randomly during the encryption process. Under sufficiently strong security guarantees the attacks proposed above become infeasible, as the adversary will be unable to correlate any two encryptions of the same message, or correlate a message to its ciphertext, even given access to the public encryption key. This guarantee is known as semantic security or indistinguishability, and has several definitions depending on the assumed capabilities of the attacker.
Views: 86 The Audiopedia
JavaScript Module as UDF in Oracle SQL
 
05:24
This is a demonstration of Oracle's experimental Multilingual Engine (MLE) technology. A module from NPM is installed in the client, uploaded to the database, and then called as a user-defined function from SQL. Learn more here: http://www.oracle.com/technetwork/database/multilingual-engine/overview/index.html ============================ Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
User defined functions SQL server 2008, R2, 2012
 
01:00:26
What is a user defined function (UDF) Different types of UDF's Scalar Functions Table valued Functions Inline Table Valued Functions Multi statement Table Valued Functions Properties of UDF's How develop and execute UDF's Advantages Limitations How to use Scalar Udf's in computed columns What are Deterministic functions and Non Deterministic functions how do they effect UDF's How do they effect performance of the UDF's Creating indexes on the Computed columns
Views: 12907 SQL JUNKIESHARE
Oracle 11g Основы PL SQL. Модуль 15. Рекомендации по дизайну кода PL SQL Часть 1
 
54:12
- Стандартизация констант и исключений - Использование локальных подпрограмм - Применение автономных транзакций - Использование подсказки компилятору NOCOPY - Применение подсказки компилятору PARALLEL_ENABLE - Использование кроссеансного кэширования результата PL-SQL функций - Использование условия DETERMINISTIC с функциями - Использование массового связывания для повышения производительности
Views: 639 Tech Net
Delete vs Truncate vs Drop :Oracle Interview Questions - Part 3
 
19:04
Delete, Truncate and Drop all can be used to remove the contents of a table but they have significant differences and unique properties. While Delete is a DML statement, truncate and DROP are DDL. Delete can be used to remove partial/Selective data. While truncate removes the entire content of the table.
Views: 761 Tech Coach
DPL Tutorial Video #1: Creating a Deterministic Model from Excel
 
06:14
This is the first in a series of 6 videos of where I'll walk you through the steps to creating a probabilistic DPL decision analytic model from an Excel Cash Flow spreadsheet for a New Product Development opportunity. Within the first video I provide an overview of the spreadsheet and then quickly generate a deterministic model within DPL's Influence Diagram. I would encourage you to build the decision model with me through out this series of tutorial videos. To do so, request a free 21-day trial license of DPL Professional: https://www.syncopation.com/dpl-professional-trial And download the Excel spreadsheet used within the tutorial: https://www.syncopation.com/downloads/BroadswordPro.xlsx
Views: 1177 Syncopation Software
Deterministic Encryption: Theory and Applications
 
01:04:59
The focus of the talk is deterministic public-key encryption schemes. Besides being interesting from theoretical and historical perspectives, the deterministic encryption primitive has applications to fast and secure search on remote data. We study several new notions of security for deterministic encryption and relations among them. We present several very efficient deterministic encryption schemes that provably satisfy the strongest-possible security definition (in the random oracle model). We finally provide the constructions that achieve security for many practical settings, without relying on the idealized random oracle model. The talk is based on joint papers with Mihir Bellare, Serge Fehr and Adam O'Neill.
Views: 157 Microsoft Research
108/125 Oracle PLSQL: Managing PLSQL / Conditional Complication 2
 
12:00
Learn Oracle PLSQL EXAM 1Z0-144 dbms_db_version
Views: 272 khaled alkhudari
95/125 Oracle PLSQL: Creating Triggers / Compound triggers 2
 
05:57
Learn Oracle PLSQL Creating Triggers in oracle Compound triggers in oracle EXAM 1Z0-144
Views: 474 khaled alkhudari
Synonyms in Oracle PL SQL
 
03:48
Synonyms in Oracle #techquerypond sql synonyms oracle synonym what is Synonyms in Oracle ? 1)A synonym is an alternative name tO objects. 2)Objects like tables, views, sequences, stored procedures. 3)Generally we use to granting or revoking the access. 4)It means that the synonym is a public synonym and is accessible to all users. 5)Please note user must first have the appropriate privileges to access synonym. To get more information watch the above video. For example: CREATE PUBLIC SYNONYM EMP FOR EMPLOYEE; SELECT * FROM EMP; DROP PUBLIC SYNONYM EMP; https://techquerypond.wordpress.com https://techquerypond.com https://twitter.com/techquerypond
Views: 1197 Tech Query Pond
120 Wrapping Up PL SQL
 
04:12
Views: 224 Husnah Hasan
Proofs in Cryptography: Lecture 11 Random Oracle Model ROM
 
10:46
Proofs in Cryptography Lecture 11 Random Oracle Model ROM ALPTEKİN KÜPÇÜ Assistant Professor of Computer Science and Engineering Koç University http://crypto.ku.edu.tr
Views: 2546 KOLT KU