This document discusses enhancements to the SQL GROUP BY clause, including how to use the ROLLUP and CUBE operations to produce subtotals and cross-tabulation values, respectively. It also covers using the GROUPING function to identify rows from ROLLUP or CUBE, and using GROUPING SETS to define multiple groupings in a single query. Examples are provided for each technique.
Aggregate functions are functions that take a collection of values as input and return a single value.The ISO standard defines five (5) aggregate functions namely :-
1) COUNT
2) SUM
3) AVG
4) MIN
5) MAX
1.COUNT Function
The COUNT function returns the total number of values in the specified field. It works on both numeric and non-numeric data types. All aggregate functions by default exclude nulls values before working on the data.
MIN function
The MIN function returns the smallest value in the specified table field.
2.MAX function
Just as the name suggests, the MAX function is the opposite of the MIN function. It returns the largest value from the specified table field.
3.SUM function
Suppose we want a report that gives total amount of payments made so far. We can use the MySQL SUM function which returns the sum of all the values in the specified column. SUM works on numeric fields only. Null values are excluded from the result returned.
4.AVG function
MySQL AVG function returns the average of the values in a specified column. Just like the SUM function, it works only on numeric data types.
5.MIN function
The MIN function returns the smallest value in the specified table field.
Aggregate functions are functions that take a collection of values as input and return a single value.The ISO standard defines five (5) aggregate functions namely :-
1) COUNT
2) SUM
3) AVG
4) MIN
5) MAX
1.COUNT Function
The COUNT function returns the total number of values in the specified field. It works on both numeric and non-numeric data types. All aggregate functions by default exclude nulls values before working on the data.
MIN function
The MIN function returns the smallest value in the specified table field.
2.MAX function
Just as the name suggests, the MAX function is the opposite of the MIN function. It returns the largest value from the specified table field.
3.SUM function
Suppose we want a report that gives total amount of payments made so far. We can use the MySQL SUM function which returns the sum of all the values in the specified column. SUM works on numeric fields only. Null values are excluded from the result returned.
4.AVG function
MySQL AVG function returns the average of the values in a specified column. Just like the SUM function, it works only on numeric data types.
5.MIN function
The MIN function returns the smallest value in the specified table field.
Oracle Week 2015 presentation (Presented on November 15, 2015)
Agenda:
Aggregative and advanced grouping options
Analytic functions, ranking and pagination
Hierarchical and recursive queries
Oracle 12c new rows pattern matching feature
XML and JSON handling with SQL
Regular Expressions
SQLcl – a new replacement tool for SQL*Plus from Oracle
This is a presentation from Oracle Week 2016 (Israel). This is a newer version from last year with new 12cR2 features and demo.
In the agenda:
Aggregative and advanced grouping options
Analytic functions, ranking and pagination
Hierarchical and recursive queries
Regular Expressions
Oracle 12c new rows pattern matching
XML and JSON handling with SQL
Oracle 12c (12.1 + 12.2) new features
SQL Developer Command Line tool
Oracle Advanced SQL and Analytic FunctionsZohar Elkayam
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multidimension aggregation and analytic functions still remain relatively unknown. In this session, we will explore some of the common real-world usages for analytic function and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups, understand aggregation of multiple dimensions without a group by, see how to do inter-row calculations, and much more.
This is the presentation slides which was presented in Kscope 17 on June 28, 2017.
Running queries across multiple tables. This will involve the concept of joins—that is, how we join tables together.
Using joins to run queries over multiple tables, including:
Natural, inner, and cross joins
Straight joins
Left and right joins
Writing subqueries
Using SELECT statement options
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
Session from ILOUG I presented in May, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more…
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
Session from BGOUG I presented in June, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more…
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
OOW2016: Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
This is the presentation I gave on the Oracle Open World 2016 - the topic was group functions and analytic functions.
We talked about reporting analytic functions, ranking and couple of Oracle 12c new features like top-n query syntax and pattern matching.
This presentation has the bonus slides which were not presented at the event itself, as promissed
The art of querying – newest and advanced SQL techniquesZohar Elkayam
Presentation from Oracle Week 2017.
Agenda:
Aggregative and advanced grouping options
Analytic functions, ranking and pagination
Hierarchical and recursive queries
Regular Expressions
Oracle 12c new rows pattern matching
XML and JSON handling with SQL
Oracle 12c (12.1 + 12.2) new features
SQL Developer Command Line tool (if time allows)
Oracle 18c
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
4. Review of the GROUP BY Clause SELECT department_id, job_id, SUM(salary), COUNT(employee_id) FROM employees GROUP BY department_id, job_id ; SELECT [ column ,] FROM table [WHERE condition ] [GROUP BY group_by_expression ] [ORDER BY column ]; Example: Syntax: group_function(column). . .
5.
6.
7.
8. ROLLUP Operator Example 1 2 3 SELECT department_id, job_id, SUM(salary) FROM employees WHERE department_id < 60 GROUP BY ROLLUP(department_id, job_id);
9.
10. CUBE Operator: Example SELECT department_id, job_id, SUM(salary) FROM employees WHERE department_id < 60 GROUP BY CUBE (department_id, job_id) ; 1 2 3 4
11.
12. GROUPING Function: Example SELECT department_id DEPTID, job_id JOB, SUM(salary), GROUPING(department_id) GRP_DEPT, GROUPING(job_id) GRP_JOB FROM employees WHERE department_id < 50 GROUP BY ROLLUP(department_id, job_id); 2 1 3
15. GROUPING SETS : Example SELECT department_id, job_id, manager_id,avg(salary) FROM employees GROUP BY GROUPING SETS ((department_id,job_id), (job_id,manager_id)); 1 2 …
19. Composite Columns: Example SELECT department_id, job_id, manager_id, SUM(salary) FROM employees GROUP BY ROLLUP( department_id,(job_id, manager_id)); 2 1 3 …
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