By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Sangam 18 - Great Applications with Great SQLConnor McDonald
Get more out of the database by exploiting the rich suite of features available with the SQL language. We cover pivot, unpivot, rollup, pagination, error logging, query block naming
Sangam 19 - Successful Applications on AutonomousConnor McDonald
The autonomous database offers insane levels of performance, but you won't be able to attain that if you are not constructing your SQL statements in a way that is scalable...and more importantly, secure from hacking
Analytic SQL functions, or "window functions have been there since 8.1.6, but they are still dramatically underused by application developers. This session looks at the syntax and usage of analytic functions, and how they can supercharge your SQL skillset.
Covers analytics from their inception in 8.1.6 all the through to enhancements in 18 and 19
Latin America Tour 2019 - 10 great sql featuresConnor McDonald
By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Another year goes by, and most likely, another data access framework has been invented. It will claim to be the fastest, smartest way to talk to the database, and just like all those that came before it, it will not be. Because the best database access tool has been there for more than 30 years now, and that is PL/SQL. Although we all sometimes fall prey to the mindset of “Oh look, a shiny new tool, we should start using it," the performance and simplicity of PL/SQL remain unmatched. This session looks at the failings of other data access languages, why even a cursory knowledge of PL/SQL will make you a better developer, and how to get the most out of PL/SQL when it comes to database performance.
Slides from the APEX Connect conference. This session covered the background of parsing a SQL statement, the risks and best practices, and an introduction to the read-consistency feature in the Oracle Database
APEX Connect 2019 - array/bulk processing in PLSQLConnor McDonald
A beginners level talk at the syntax for bulk processing in PLSQL, why it is so important for performance and scalability, and how to diagnose errors when it goes wrong
Sangam 18 - Great Applications with Great SQLConnor McDonald
Get more out of the database by exploiting the rich suite of features available with the SQL language. We cover pivot, unpivot, rollup, pagination, error logging, query block naming
Sangam 19 - Successful Applications on AutonomousConnor McDonald
The autonomous database offers insane levels of performance, but you won't be able to attain that if you are not constructing your SQL statements in a way that is scalable...and more importantly, secure from hacking
Analytic SQL functions, or "window functions have been there since 8.1.6, but they are still dramatically underused by application developers. This session looks at the syntax and usage of analytic functions, and how they can supercharge your SQL skillset.
Covers analytics from their inception in 8.1.6 all the through to enhancements in 18 and 19
Latin America Tour 2019 - 10 great sql featuresConnor McDonald
By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Another year goes by, and most likely, another data access framework has been invented. It will claim to be the fastest, smartest way to talk to the database, and just like all those that came before it, it will not be. Because the best database access tool has been there for more than 30 years now, and that is PL/SQL. Although we all sometimes fall prey to the mindset of “Oh look, a shiny new tool, we should start using it," the performance and simplicity of PL/SQL remain unmatched. This session looks at the failings of other data access languages, why even a cursory knowledge of PL/SQL will make you a better developer, and how to get the most out of PL/SQL when it comes to database performance.
Slides from the APEX Connect conference. This session covered the background of parsing a SQL statement, the risks and best practices, and an introduction to the read-consistency feature in the Oracle Database
APEX Connect 2019 - array/bulk processing in PLSQLConnor McDonald
A beginners level talk at the syntax for bulk processing in PLSQL, why it is so important for performance and scalability, and how to diagnose errors when it goes wrong
By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Perth APAC Groundbreakers tour - SQL TechniquesConnor McDonald
Get more out of the database by exploiting the rich suite of features available with the SQL language. We cover pivot, unpivot, rollup, pagination, error logging, query block naming
Slides from the ITOUG events in Rome and Milan 2020.
Most people think of the Flashback features in Oracle as the "In Case of Emergency" switch, to only be used when some catastrophe has occurred on your database. And while it is true that Flashback will definitely help you 3 seconds after you press the Commit button and you realise that you probably needed to have a WHERE clause on that "delete all rows from the SALES table" SQL statement. Or for when you run "drop table" on the Production database, when you were just so sure that you were logged onto the Test system. But Flashback is not only for those "Oh No!" moments. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
Flashback is not only for those "Oh No!" moments when we make a mistake. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
A story about developing an application for an online store, persisting all the data as JSON.
Gives an overview of JSON functionality in Oracle Database 19c.
Talk given at http://jsconf.eu 2009.
You serve up your code gzipped. Your caches are properly configured. Your data (and scripts) are loaded on-demand. That's awesome—so don't stop there. Runtime is another source of slowdowns, and you can learn to conquer those, too.
Learn how to benchmark your code to isolate performance issues, and what to do when you find them. The techniques you'll learn range from the normal (function inlining) to the extreme (unrolling loops).
Rich and Snappy Apps (No Scaling Required)Thomas Fuchs
Presentation by Amy Hoy and Thomas Fuchs about front-end web application performance at Kings of Code, Amsterdam, June 2009.
Main topics are loading-time performance, JavaScript tuning and progress indication.
Note that without the audio this is probably not very useful and it's mainly intended for attendees of the talk.
Slides from the ILOUG 2019 conference. At every conference, you’ll see plenty about the latest and greatest release of Oracle. You’ll sigh as you think that it will be 10 years before you get to these versions at your workplace. This presentation is for you – we’ll look at the cool underused SQL features available going all the way back to Oracle 8.
Wellington APAC Groundbreakers tour - SQL Pattern MatchingConnor McDonald
Analytic functions that came way back in 8i are cool, but often we use them really to answer questions about the patterns that exist in data. So perhaps it is time for a new SQL syntax - one more closely aligned with finding patterns, rather than analytical computations. Enter the MATCH_RECOGNIZE syntax!
By expanding our knowledge of SQL facilities, we can let all the boring work be handled via SQL rather than a lot of middle-tier code, and we can get performance benefits as an added bonus. Here are some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Perth APAC Groundbreakers tour - SQL TechniquesConnor McDonald
Get more out of the database by exploiting the rich suite of features available with the SQL language. We cover pivot, unpivot, rollup, pagination, error logging, query block naming
Slides from the ITOUG events in Rome and Milan 2020.
Most people think of the Flashback features in Oracle as the "In Case of Emergency" switch, to only be used when some catastrophe has occurred on your database. And while it is true that Flashback will definitely help you 3 seconds after you press the Commit button and you realise that you probably needed to have a WHERE clause on that "delete all rows from the SALES table" SQL statement. Or for when you run "drop table" on the Production database, when you were just so sure that you were logged onto the Test system. But Flashback is not only for those "Oh No!" moments. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
Flashback is not only for those "Oh No!" moments when we make a mistake. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
A story about developing an application for an online store, persisting all the data as JSON.
Gives an overview of JSON functionality in Oracle Database 19c.
Talk given at http://jsconf.eu 2009.
You serve up your code gzipped. Your caches are properly configured. Your data (and scripts) are loaded on-demand. That's awesome—so don't stop there. Runtime is another source of slowdowns, and you can learn to conquer those, too.
Learn how to benchmark your code to isolate performance issues, and what to do when you find them. The techniques you'll learn range from the normal (function inlining) to the extreme (unrolling loops).
Rich and Snappy Apps (No Scaling Required)Thomas Fuchs
Presentation by Amy Hoy and Thomas Fuchs about front-end web application performance at Kings of Code, Amsterdam, June 2009.
Main topics are loading-time performance, JavaScript tuning and progress indication.
Note that without the audio this is probably not very useful and it's mainly intended for attendees of the talk.
Slides from the ILOUG 2019 conference. At every conference, you’ll see plenty about the latest and greatest release of Oracle. You’ll sigh as you think that it will be 10 years before you get to these versions at your workplace. This presentation is for you – we’ll look at the cool underused SQL features available going all the way back to Oracle 8.
Wellington APAC Groundbreakers tour - SQL Pattern MatchingConnor McDonald
Analytic functions that came way back in 8i are cool, but often we use them really to answer questions about the patterns that exist in data. So perhaps it is time for a new SQL syntax - one more closely aligned with finding patterns, rather than analytical computations. Enter the MATCH_RECOGNIZE syntax!
No-one becomes an app developer to spend their days doing data processing. We do it to explore complex algorithms, build beautiful applications, and deliver fantastic solutions for our customers. But so often we don't ever get to realize that dream. We're too busy dealing with ORMs and hand-coding all the nuts and bolts of data processing so we're left with precious little time for anything else. There is a better way. By expanding our knowledge of SQL facilities, we can write a lot less middle-tier code, and get performance benefits as an added bonus. These slides highlights some SQL techniques to solve problems that would otherwise require a lot of complex coding, freeing up your time to focus on the delivery of great applications.
Presentation of Common Table Expressions (CTE), recursive or not , a new feature in MySQL 8.0; slides written by Guilhem Bichot, developer of the feature, and presented by him at the Percona Live Conference in Dublin on 2017-09-26.
Oren nakdimon oh really... i didn't know it is supported in standard editionOren Nakdimon
As Oracle Standard Edition developers, we tend to complain about the features that we don't have. But at the same time, there are good and useful features that are supported in Standard Edition but many developers either don't know about them or assume they are supported only in Enterprise Edition.
This session focuses on such features - introducing them, exploring them, showing when they are useful and how to use them.
The purpose of this C++ programming project is to allow the student .pdfRahul04August
The purpose of this C++ programming project is to allow the student to perform parallel array
and multidimensional array processing. The logic for string and Cstring has already been
completed, so the assignment can be started before we actually cover string and Cstring in detail.
This program has the following three menu options:
Solution
/*
This program uses simple arrays, multidimensional arrays, cstrings, strings, and files.
It allows a payroll clerk to choose an option from a menu. The choices are:
A: List the Payroll Information by Employee Name
B: Search Payroll Information by Employee Name
X: Exit the Payroll Information Module
The following items for each employee are saved in the file p10.txt:
Employee ID (1000 - 9999)
Last Name (15 characters)
First Name (15 characters)
Rate (5.00 - 10.00)
Hours W1,W2,W3,W4 (0-60)
*/
#include // file processing
#include // cin and cout
#include // toupper
#include // setw
#include // cstring functions strlen, strcmp, strcpy stored in string.h
#include // string class
#define stricmp strcasecmp
#define strnicmp strncasecmp
using namespace std;
//Disable warning messages C4267 C4996.
//To see the warnings, comment out the following line.
//#pragma warning( disable : 4267 4996)
//Warning C4267: coversion from size_t to int, possible lost of data
//size_t is a data type defined in and is an unsigned integer.
//The function strlen returns a value of the type size_t, but in
//searchByName we assign the returned value to an int.
//We could also declare the variable as size_t instead of int.
// size_t stringLength;
//Warning C4996: strnicmp strcpy, stricmp was declared deprecated, means
//the compiler encountered a function that was marked with deprecated.
//The deprecated function may no longer be supported in a future release.
//Global Constants
//When using to declare arrays, must be defined with const modifier
const int ARRAY_SIZE = 20, HOURS_SIZE = 4, NAME_SIZE = 16;
//Declare arrays as global so we don\'t have to pass the arrays to each function.
//Normally we wouldn\'t declare variables that change values a global.
int employeeId[ARRAY_SIZE];
string firstName[ARRAY_SIZE];
char lastName[ARRAY_SIZE][NAME_SIZE];
double rate[ARRAY_SIZE];
int hours[ARRAY_SIZE][HOURS_SIZE];
int numberOfEmps; //count of how many employees were loaded into arrays
int sumHours[ARRAY_SIZE] = {0}; //initialize arrays to zero by providing a
double avgHours[ARRAY_SIZE] = {0}; //value for the first element in the array
//Function Prototypes
void loadArray( );
void sumAndComputeAvgHours( );
void listByName( );
void searchByName( );
void sortByName( );
void swapValues(int i, int minIndex);
void listEmployees( );
void listEmployeesHeadings( );
void listEmployeesDetails(int i);
void listEmployeesTotals( );
void displayContinuePrompt( );
//Program starts here
int main()
{
//Declare and initialize local main variables
char choice; //menu option
//Load the arrays with data
loadArray();
//Sum and compute the average hours
sumAndComputeAv.
Wellington APAC Groundbreakers tour - Upgrading to the 12c OptimizerConnor McDonald
The 12c optimizer has a vast array of improvements, but of course, functionality changes means that your SQL plans might also change when you upgrade. This slidedeck covers what has changed, and how to ensure better more stable performance when you upgrade.
OpenWorld 2018 - Common Application Developer DisastersConnor McDonald
Two of the critical requirements of a database are:
- run fast
- data integrity
The database can achieve these things, but only as long as you understand the mechanisms correctly. If you don't, then things can go downhill fast.
Slides from OpenWorld 2013 presentation.
Analytics have been there since 8.1.6, but they are still dramatically underused by application developers. This session looks at the syntax and usage of analytic functions, and how they can supercharge your SQL skillset.
APEX tour 2019 - successful development with autonomousConnor McDonald
The autonomous database offers insane levels of performance, but you won't be able to attain that if you are not constructing your SQL statements in a way that is scalable...and more importantly, secure from hacking
Apologies for most pics missing and awful layout...you can thank slideshare for that :-(
Slides from the APAC Groundbreakers Tour from Perth and Melbourne legs. This session covered the features in 18c, 19c and 20c, along with the new free database offerings from Oracle from OpenWorld 2019
Slides from OpenWorld. Flashback has been around for long time yet people assume it should entirely within the realm of the DBA. But with modern development techniques such as continuous integration/continuous deployment, flashback actually is a perfect for *developers*
Slides from the OpenWorld talk on read consistency. It is the feature that makes Oracle such a great database for performance and concurrency. But if misunderstood, it can lead to confusion for developers
Slides from OpenWorld 2019. Want to make sure your applications are slow, burn lots of CPU, and are easily broken into by hackers? Well...in reality, if you know how to do this, then you'll know how to avoid it.
Slides from Openworl 2019. A look at how to safely (and unsafely) kill sessions in the Oracle database, and how to perhaps avoid killing them altogether.
Latin America Tour 2019 - slow data and sql processingConnor McDonald
Well done! You've come up with the killer idea for 2020. You've got the best UI design anyone has ever seen! Your modern application ticks all the boxes — serverless, functional, Kubernetes, microservices, API-based, the list goes on. It runs on every OS and every type of device. But unfortunately, all of this counts for absolutely NOTHING if your data access is slow or buggy. But an Autonomous database will fix all that right? Only if you understand the fundamentals of how SQL is processed by the database. For novice developers, SQL can be hard to understand and sometimes totally hidden from view under an ORM. Let's peel back the covers to show how SQL is processed, how to avoid getting hacked, and how to get data back to your application in a snappy fashion.
OG Yatra - upgrading to the new 12c+ optimizerConnor McDonald
The 12c optimizer has a vast array of improvements, but of course, functionality changes means that your SQL plans might also change when you upgrade. This slidedeck covers what has changed, and how to ensure better more stable performance when you upgrade.
The skill set of a database practitioner is much more than what is read in the documentation, on blogs, or on StackOverflow. It is the knowledge from years of trial and error, experimentation, and sometimes painful failures. The problem is it takes time—a long, long time—to build that experience. This session aims to fast-track that path. Get a collection of hints, tips, features, and techniques picked up from the smartest people in the community.
OG Yatra - Flashback, not just for developersConnor McDonald
Flashback is not only for those "Oh No!" moments when we make a mistake. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
Kscope19 - Flashback: Good for Developers as well as DBAsConnor McDonald
Flashback is not only for those "Oh No!" moments when we make a mistake. It enables benefits for developers ranging from data consistency to continuous integration and data auditing. Tucked away in Enterprise Edition are six independent and powerful technologies that might just save your career—they will also open up a myriad of other benefits of well.
Kscope19 - Understanding the basics of SQL processingConnor McDonald
Better data access typically means understanding how SQL is processed by the database, and who has time for that? Let's peel back the covers to show how SQL is processed, how to avoid getting hacked, and how to get data back to your application in a snappy fashion.
Slides from the Oracle ANZ workshop held in Sydney and Melbourne. We look at the killer features that will make 18c and 19c great productivity upgrades for DBAs
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
26. 26
"fine-grained to perform a single function"
"Each service is ... minimal, and complete"
https://en.wikipedia.org/wiki/Microservices
select COUNT(*)
from PEOPLE
where GENDER = 'MALE'
30. 30
"By abstracting the underlying implementation"
"describes the expected behaviour ... but can have multiple implementations"
https://en.wikipedia.org/wiki/Application_programming_interface
select NAME, STREET_NO, ZIP_CODE
from PEOPLE p,
ADDRESS a
where p.AGE > 50
and p.ADDRESS_ID = a.ADDRESS_ID;
40. SQL> with x( s, ind ) as
2 ( select sud, instr( sud, '.' )
3 from ( select replace(replace(
4 replace(replace(:board,'-'),'|'),' '),chr(10)) sud
5 from dual )
6 union all
7 select substr(s,1,ind-1)||z||substr(s,ind+1)
8 , instr(s,'.',ind+1)
9 from x
10 , ( select to_char( rownum ) z
11 from dual connect by rownum <= 9 ) z
12 where ind > 0
13 and not exists (
14 select null
15 from ( select rownum lp from dual
16 connect by rownum <= 9 )
17 where z = substr(s,trunc((ind-1)/9)*9+lp,1)
40
41. 18 or z = substr(s,mod(ind-1,9)-8+lp*9,1)
19 or z = substr(s,mod(trunc((ind-1)/3),3)*3
20 +trunc((ind-1)/27)*27+lp
21 +trunc((lp-1)/3)*6,1)
22 )
23 ),
24 result as (
25 select s
26 from x
27 where ind = 0 )
28 select
29 regexp_replace(substr(s,(idx-1)*9+1,9),
30 '(...)(...)(...)',
31 '1|2|3')||
32 case when mod(idx,3)=0 then chr(10)||rpad('-',11,'-') end soln
33 from result,
34 ( select level idx
35 from dual
36 connect by level <= 9 )
41
Ack: Anton Scheffer,
https://technology.amis.nl
80. select emp.*
from emp,
( select trunc(hiredate,'YYYY'), max(empno) empno
from emp
where empno > 0
group by trunc(hiredate,'YYYY') ) x,
( select deptno, avg(sal)
from emp
group by deptno ) y
where x.empno = emp.empno
and y.deptno = emp.deptno
80
81. Id | Operation | Name |
----------------------------------------------|
0 | SELECT STATEMENT | |
1 | HASH JOIN | |
2 | TABLE ACCESS BY INDEX ROWID | EMP |
3 | NESTED LOOPS | |
4 | VIEW | |
5 | SORT GROUP BY | |
6 | TABLE ACCESS BY INDEX ROWID| EMP |
7 | INDEX FULL SCAN | E2 |
8 | INDEX RANGE SCAN | E1 |
9 | VIEW | |
10 | SORT GROUP BY | |
11 | TABLE ACCESS BY INDEX ROWID | EMP |
12 | INDEX RANGE SCAN | E2 |
81
82. ?
82
select emp.*
from emp,
( select trunc(hiredate,'YYYY'), max(empno) empno
from emp
where empno > 0
group by trunc(hiredate,'YYYY') ) x,
( select deptno, avg(sal)
from emp
group by deptno ) y
where x.empno = emp.empno
and y.deptno = emp.deptno
Id | Operation | Name |
----------------------------------------------|
0 | SELECT STATEMENT | |
1 | HASH JOIN | |
2 | TABLE ACCESS BY INDEX ROWID | EMP |
3 | NESTED LOOPS | |
4 | VIEW | |
5 | SORT GROUP BY | |
6 | TABLE ACCESS BY INDEX ROWID| EMP |
7 | INDEX FULL SCAN | E2 |
8 | INDEX RANGE SCAN | E1 |
9 | VIEW | |
10 | SORT GROUP BY | |
11 | TABLE ACCESS BY INDEX ROWID | EMP |
12 | INDEX RANGE SCAN | E2 |
83. select emp.*
from emp,
( select /*+ QB_NAME(YR_HIRE) */
trunc(hiredate,'YYYY'), max(empno) empno
from emp
where empno > 0
group by trunc(hiredate,'YYYY') ) x,
( select /*+ QB_NAME(AV_SAL) */
deptno, avg(sal)
from emp
group by deptno ) y
where x.empno = emp.empno
and y.deptno = emp.deptno
83
select emp.*
from emp,
( select /*+ QB_NAME(YR_HIRE) */
trunc(hiredate,'YYYY'), max(empno) empno
from emp
where empno > 0
group by trunc(hiredate,'YYYY') ) x,
( select /*+ QB_NAME(AV_SAL) */
deptno, avg(sal)
from emp
group by deptno ) y
where x.empno = emp.empno
and y.deptno = emp.deptno
84. Id | Operation | Name | Query Block
----------------------------------------------|--------------
0 | SELECT STATEMENT | |
1 | HASH JOIN | |
2 | TABLE ACCESS BY INDEX ROWID | EMP |
3 | NESTED LOOPS | |
4 | VIEW | |
5 | SORT GROUP BY | |
6 | TABLE ACCESS BY INDEX ROWID| EMP |
7 | INDEX FULL SCAN | E2 |
8 | INDEX RANGE SCAN | E1 |
9 | VIEW | |
10 | SORT GROUP BY | |
11 | TABLE ACCESS BY INDEX ROWID | EMP |
12 | INDEX RANGE SCAN | E2 |
SEL$1
SEL$1
AV_SAL
AV_SAL
AV_SAL
AV_SAL
SEL$1
YR_HIRE
YR_HIRE
YR_HIRE
YR_HIRE
84
93. SQL> insert into MY_TABLE
2 select *
3 from MY_HUGE_GREAT_FAT_TABLE;
Elapsed: 06:12:34.00
93
94. SQL> insert into MY_TABLE
2 select *
3 from MY_HUGE_GREAT_FAT_TABLE;
Elapsed: 06:12:34.00
ERROR at line 1:
ORA-01847: day of month must be between 1 and last day of month
94
103. SQL> insert into MY_TABLE
2 select *
3 from MY_HUGE_GREAT_FAT_TABLE
4 where "not a duplicate"
5 and "datatypes are ok"
6 and "foreign keys are ok"
7 and "check constraints are ok"
103
118. 118
SQL> SELECT hrs.hr, t1.room, t1.who
2 from timeslots hrs
3 left outer join bookings t1
4 on hrs.hr = t1.hr
5 order by 1
HR ROOM WHO
------- ---------- ----------
8 Room2 PETE
9 Room1 JOHN
10
11 Room1 MIKE
12
13
14 Room2 JILL
15 Room2 JANE
16 Room1 SAM
118
142. "First, get the total salary paid by each department,
then get the average of these totals,
then list those departments above that average"
142
SQL ?
143. "First, get the total salary paid by department...
SQL> WITH dept_salaries AS (
2 SELECT dname, SUM(sal) dept_sal
3 FROM emp e, dept d
4 WHERE e.deptno = d.deptno
5 GROUP BY dname),
143
144. "...then get the average of these totals...
6 avg_sal AS ( SELECT AVG(dept_sal) avsal
7 FROM dept_salaries)
144
145. "...then list those departments above average."
8 SELECT * FROM dept_salaries d, avg_sal a
9 WHERE d.dept_sal > a.avsal
10 ORDER BY d.dname;
145
146. SQL> WITH dept_salaries AS (
2 SELECT dname, SUM(sal) dept_sal
3 FROM emp e, dept d
4 WHERE e.deptno = d.deptno
5 GROUP BY dname),
6 avg_sal AS ( SELECT AVG(dept_sal) avsal
7 FROM dept_salaries)
8 SELECT * FROM dept_salaries d, avg_sal a
9 WHERE d.dept_sal > a.avsal
10 ORDER BY d.dname;
146
174. SQL> select empno, ename, hiredate
2 from emp
3 order by hiredate desc;
HIREDATE EMPNO ENAME
--------- ---------- --------
12-JAN-83 7876 ADAMS
09-DEC-82 7788 SCOTT
23-JAN-82 7934 MILLER
03-DEC-81 7902 FORD
03-DEC-81 7900 JAMES
17-NOV-81 7839 KING
28-SEP-81 7654 MARTIN
08-SEP-81 7844 TURNER
09-JUN-81 7782 CLARK
01-MAY-81 7698 BLAKE
02-APR-81 7566 JONES
22-FEB-81 7521 WARD
20-FEB-81 7499 ALLEN
17-DEC-80 7369 SMITH
174
fetch first 5 rows
offset 5 fetch next ...
17-FEB-91 7521 BROWN
175. SQL> select empno, ename, hiredate
2 from emp
3 order by hiredate desc;
HIREDATE EMPNO ENAME
--------- ---------- --------
12-JAN-83 7876 ADAMS
09-DEC-82 7788 SCOTT
23-JAN-82 7934 MILLER
03-DEC-81 7902 FORD
03-DEC-81 7900 JAMES
17-NOV-81 7839 KING
28-SEP-81 7654 MARTIN
08-SEP-81 7844 TURNER
09-JUN-81 7782 CLARK
01-MAY-81 7698 BLAKE
02-APR-81 7566 JONES
22-FEB-81 7521 WARD
20-FEB-81 7499 ALLEN
17-DEC-80 7369 SMITH
175
17-FEB-91 7521 BROWN
SQL> select empno, ename, hiredate
2 from emp
3 where hiredate < :last_shown
3 order by hiredate desc;
178. SQL> with first_200 as
2 ( select f.*, rownum r
3 from
4 ( select *
5 from t
6 order by owner, object_name desc
7 ) f
8 where rownum <= 200
9 )
10 select *
11 from first_200
12 where r <= 10
178
/*+ result_cache */ rownum r, f.*
oc03.sql
r between 11 and 20
181. SQL> select row_number() OVER ( order by sal )
2 from emp
3 ...
181
https://bit.ly/analytic_sql
182. 182
“Show me lowest salary for each department...”
SQL> select deptno, min(sal)
2 from emp
3 group by deptno;
“...and I need to know who has that
lowest salary as well”
SQL> select deptno, empno, min(sal)
2 from emp
3 group by deptno;
ORA-00979: not a GROUP BY expression
202. select prod_id, max(amount)
from stores st,
customers c,
sales s
where s.cust_id = c.cust_id(+)
and c.store_id = st.store_id
and s.amount > 10
group by prod_id
202
hash outer join ? nested loop ?
STORES first ?
sort merge ?