The document describes various data definition language (DDL) and data manipulation language (DML) commands in MySQL. Some key commands include using CREATE to add new databases, tables, indexes, and constraints. ALTER is used to modify existing database objects. DROP removes databases, tables, columns or indexes. DML commands like SELECT are used to query data, WHERE filters rows, JOIN combines tables, and INSERT, UPDATE, DELETE modify data. COUNT, SUM, DISTINCT and other functions can be used to aggregate or transform result sets.
This Presentation is about Oracle Database.
In Oracle Database we have different types of Languages.
In This Presentation We have discussed Data Manipulation Language, Data Defination Language and Data Control Language In the Oracle.
This Presentation is about Oracle Database.
In Oracle Database we have different types of Languages.
In This Presentation We have discussed Data Manipulation Language, Data Defination Language and Data Control Language In the Oracle.
Here is the list of all important MySQL functions. Each function has been explained along with suitable example.
*
MySQL Group By Clause - The MySQL GROUP BY statement is used along with the SQL aggregate functions like SUM to provide means of grouping the result dataset by certain database table column(s).
*
MySQL IN Clause - This is a clause which can be used alongwith any MySQL query to specify a condition.
*
MySQL BETWEEN Clause - This is a clause which can be used alongwith any MySQL query to specify a condition.
*
MySQL UNION Keyword - Use a UNION operation to combine multiple result sets into one.
*
MySQL COUNT Function - The MySQL COUNT aggregate function is used to count the number of rows in a database table.
*
MySQL MAX Function - The MySQL MAX aggregate function allows us to select the highest (maximum) value for a certain column.
*
MySQL MIN Function - The MySQL MIN aggregate function allows us to select the lowest (minimum) value for a certain column.
*
MySQL AVG Function - The MySQL AVG aggregate function selects the average value for certain table column.
*
MySQL SUM Function - The MySQL SUM aggregate function allows selecting the total for a numeric column.
*
MySQL SQRT Functions - This is used to generate a square root of a given number.
*
MySQL RAND Function - This is used to generate a random number using MySQL command.
*
MySQL CONCAT Function - This is used to concatenate any string inside any MySQL command.
*
MySQL DATE and Time Functions - Complete list of MySQL Date and Time related functions.
*
MySQL Numeric Functions - Complete list of MySQL functions required to manipulate numbers in MySQL.
*
MySQL String Functions - Complete list of MySQL functions required to manipulate strings in MySQL.
Select, Select with Boolean Exp, Select with Numeric Exp, Select with Date Exp, Create database, Drop database, Use database, Create table, Describe table, Drop table, Insert record, Update record(s), Delete record(s), Like clause with Select statement, Top clause with Select Statement, Order By clause with Select Statement, Group By clause with Select Statement, Distinct clause with Select Statement, Default constraint, Identity Property, Unique constraint, Check constraint, Alter Table, Primary Key constraint, Foreign Key constraint, Index, Views, Equi-Join, Natural Join, Cross Join
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Ddl commands
1. A. DDL Commands on MySQL:
Create a database
Create database [database name];
To delete a db.
Drop database [database name];
To delete a table.
Drop table [table name];
Delete a column.
Alter table [table name] drop column [column name];
ALTER TABLE employee DROP INDEX name_dept; - get rid of
Add a new column to db.
Alter table [table name] add column [new column name] varchar (20);
ALTER TABLE employee ADD EmpId INT NOT NULL AUTO_INCREMENT PRIMARY
KEY;
Change column name.
Alter table [table name] change [old column name] [new column] varchar (50);
Make a unique column so you get no dupes.
Alter table [table name] add unique ([column name]);
Make a column bigger.
2. Alter table [table name] modify [column name] varchar (3);
Delete unique from table.
Alter table [table name] drop index [column name];
Delete data from specific fields within a column:
Mysql> DELETE FROM mytable WHERE mycolumn="mydata";
Rename a table within a specific database
Mysql> RENAME TABLE first TO second;
(Or)
Mysql> ALTER TABLE mytable rename as mynewtable;
Create Table Example 1.
Create table [table name] (first name varchar(20),middleintial varchar(3),last
name varchar(35),suffix varchar(3),officeid varchar(10),userid
varchar(15),username varchar(8),email varchar(35),phone varchar(25),groups
varchar(15),datestamp date,timestamp time,pagemail varchar(255));
CREATE TABLE pet (name VARCHAR(20), owner VARCHAR(20), species
VARCHAR(20), sex CHAR(1), birth DATE, death DATE);
CREATE TABLE retired_employee (Name char(20) DEFAULT '' NOT NULL,Dept
char(10) DEFAULT '' NOT NULL,JobTitle char(20)UNIQUE name_dept
(Name,Dept));
CREATE UNIQUE index name_dept on employee (name,dept); - avoids duplicate
keys
Create Table Example 2.
Create table [tablename] (personid int(50) not null auto_increment primary
key,firstname varchar(35),middlename varchar(50),lastname char(50) default
‘bato’;
3. Create table employees (employee_id integer, first_name varchar (20), last_name
Varchar (20)) type=MyISAM;
Drop Database
Drop database databasename;
Delete a row(s) from a table.
DELETE from [tablename] where [fieldname]=’whatever’;
DROP TABLE
DROP TABLE TABLENAME;
Simple column and field manipulation
Show columns within a table:
Mysql> DESC mytable;
(Or)
Mysql> SHOW COLUMNS FROM mytable;
B. DML Commands :
Show all data in a table
SELECT * FROM [TABLENAME];
Show certain selected rows with the value “whatever”
SELECT * FROM [tablename] where [field] =”whatever”;
Show all records containing the name "Bob" AND the phone number '3444444'.
SELECT * FROM [TABLENAME] WHERE NAME=”bob” AND
phone_number=’3444444’;
4. Show all records not containing the name "Bob" AND the phone number
'3444444' order by the phone_number field.
SELECT * FROM [TABLENAME] WHERE NAME! =”bob” and
phone_number=’3444444’ order by phone_number;
Show all records starting with the letters 'bob' AND the phone number '3444444'.
SELECT * FROM [TABLENAME] WHERE NAME LIKE “bob%” and
phone_number=’3444444’;
Show all records starting with the letters 'bob' AND the phone number '3444444'
limit to records 1 through 5.
SELECT * FROM [TABLENAME] WHERE NAME LIKE “bob%” and
phone_number=’3444444’ limit 1,5;
Use a regular expression to find records. Use "REGEXP BINARY" to force case-
sensitivity. This finds any record beginning with a.
SELECT * FROM [TABLENAME] WHERE rec RLIKE “^a”;
Show unique records.
SELECT DISTINCT [column name] FROM [TABLE NAME];
Show selected records sorted in an ascending (asc) or descending (desc).
Select [col1], [col2] from [tablename] order by [col2] desc;
Return number of rows.
SELECT COUNT (*) FROM [TABLENAME];
Is there a way to query the DB to find out how many rows there are in all the
tables?
SELECT TABLE_NAME, TABLE_ROWS FROM `information_schema`.`tables` WHERE
`table_schema` = 'mrsqa4';
5. Is there a way to get the count of rows in all tables in a mysql database without
running a SELECT count () on each table?
SELECT SUM (TABLE_ROWS) FROM INFORMATION_SCHEMA.TABLESWHERE
TABLE_SCHEMA = 'mrsqa4';
Sum column.
SELECT SUM (*) FROM [TABLENAME];
Show the last 200 queries to your database with the sample table name "queries"
and the sample field "query_id"
Mysql> SELECT * FROM queries ORDER BY query_id DESC LIMIT 200;
Show data within a specific table in a previously selected database
Mysql> SELECT * FROM table name;
Select data within a specific table in a previously selected database:
Mysql> SELECT * FROM mytable WHERE mycolumn='mydata' ORDER BY
mycolumn2;
Join tables on common columns.
Select lookup.illustrationid, looup.personid,person.birthday from lookup
Left join person on lookup.personid=person.personid=statement to join
Birthday in person table with primary illustrationid;
MySQL> SELECT DISTINCT dept FROM bedrock;
MySQL> SELECT * FROM pet WHERE species = "snake" OR species = "bird";
MySQL> SELECT * FROM pet WHERE species = "dog" AND sex = "f";
MySQL> SELECT * FROM pet WHERE birth >= "1998-1-1";
MySQL> SELECT name, birth FROM pet ORDER BY birth DESC;
MySQL> SELECT * FROM pet WHERE name LIKE "b%";
MySQL> SELECT * FROM pet WHERE name REGEXP "^b";
6. MySQL> SELECT species, COUNT(*) FROM pet GROUP BY species;
MySQL> SELECT MAX(article) AS article FROM shop;
MySQL> SELECT * FROM employee WHERE name LIKE "%Sm%";
MySQL> SELECT * FROM employee WHERE name REGEXP "^Ja";
Insert:
MySQL> INSERT INTO employee VALUES ("Jane Smith","Sales","Custome Rep");
MySQL> INSERT INTO employee VALUES ('Jane Smith','Sales','Account Manager');
MySQL> INSERT INTO employee VALUES ('Jane smith’,’Engineein’,’Manager’);
MySQL> UPDATE employee SET dept='HR' WHERE name='Jane Smith';
Insert data into a table and its columns within a specific database:
mysql> INSERT INTO mytable VALUES('column1data','column2data',
'column3data','column4data','column5data','column6data',
'column7data','column8data','column9data');
Update data in a specific table, column, field:
Mysql> UPDATE mytable SET column1="mydata" WHERE column2="mydata";