Skip to main content

Transactions

SQL transactions provide a way to group multiple SQL operations into a single, atomic unit of work. A transaction ensures that either all operations within it are successfully completed (committed) or none of them are (rolled back), maintaining data integrity and consistency. Let's delve into SQL transactions with examples and key concepts.

 

ACID Properties:

Atomicity: Ensures that all operations within a transaction are completed successfully or none at all. If any part of the transaction fails, the entire transaction is rolled back to its initial state.

Consistency: Guarantees that the database remains in a consistent state before and after the transaction. Constraints, triggers, and cascades ensure data validity.

Isolation: Ensures that transactions are isolated from each other until they are completed. Concurrent transactions should not interfere with each other.

Durability: Once a transaction is committed, its changes are permanent even in the event of system failures.

 

Transaction Commands:

BEGIN TRANSACTION: Begins a new transaction explicitly.

COMMIT: Finalizes the transaction and makes all changes permanent.

ROLLBACK: Aborts the transaction and undoes any changes made since the transaction began.

SAVEPOINT: Creates a point within the transaction to which you can roll back.

 

Comments

Popular posts from this blog

Power BI tenant settings and admin portal

As of my last update, Power BI offers a dedicated admin portal for managing settings and configurations at the tenant level. Here's an overview of Power BI tenant settings and the admin portal: 1. Power BI Admin Portal: Access : The Power BI admin portal is accessible to users with admin privileges in the Power BI service. URL : You can access the admin portal at https://app.powerbi.com/admin-portal . 2. Tenant Settings: General Settings : Configure general settings such as tenant name, regional settings, and language settings. Tenant Administration : Manage user licenses, permissions, and access rights for Power BI within the organization. Usage Metrics : View usage metrics and reports to understand how Power BI is being used across the organization. Service Health : Monitor the health status of the Power BI service and receive notifications about service incidents and outages. Audit Logs : Access audit logs to track user activities, access requests, and administrative actions wit...

Understanding the Power BI ecosystem and workflow

Understanding the Power BI ecosystem and workflow involves getting familiar with the various components of Power BI and how they interact to provide a comprehensive data analysis and visualization solution. Here's a detailed explanation: Power BI Ecosystem The Power BI ecosystem consists of several interconnected components that work together to enable users to connect to data sources, transform and model data, create visualizations, and share insights. The main components are: Power BI Desktop Power BI Service Power BI Mobile Power BI Gateway Power BI Report Server Power BI Embedded PowerBI Workflow Here’s a typical workflow in the Power BI ecosystem: Step 1: Connect to Data Sources Power BI Desktop:  Connect to various data sources like Excel, SQL databases, cloud services, and more. Power BI Gateway:  If using on-premises data sources, install and configure the gateway for secure data transfer. Step 2: Data Transformation and Modeling Power BI Desktop:  Use Power Query...

DAX UPPER Function

The DAX UPPER function in Power BI is used to convert all characters in a text string to uppercase. This function is useful for standardizing text data, ensuring consistency in text values, and performing case-insensitive comparisons. Syntax: UPPER(<text>) <text>: The text string that you want to convert to uppercase. Purpose: The UPPER function helps ensure that text data is consistently formatted in uppercase. This can be essential for tasks like data cleaning, preparing text for comparisons, and ensuring uniformity in text-based fields. E xample: Suppose you have a table named "Customers" with a column "Name" that contains names in mixed case. You want to create a new column that shows all names in uppercase. UppercaseName = UPPER(Customers[Name]) Example Scenario: Assume you have the following "Customers" table: You can use the UPPER function as follows: Using the UPPER function, you can convert all names to uppercase: UppercaseName = ...