Tag: SQL
All the articles with the tag "SQL".
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OLTP vs. OLAP: How JOINs and Efficiency Shape Their Differences
Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are two distinct database architectures, each designed for different purposes. One key factor that differentiates them is
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The Origins of OLTP and OLAP: A Brief History
Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are fundamental concepts in database management, each serving distinct purposes. But when did these terms first appear, and
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Visualizing EXPLAIN ANALYZE in PostgreSQL
When working with PostgreSQL, understanding how queries execute can greatly improve performance tuning and optimization. PostgreSQL provides the EXPLAIN ANALYZE command to help developers analyze
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Why OLTP Systems Don't Retain Historical Changes
Online Transaction Processing (OLTP) systems are designed for high-speed transactions and efficient data management. However, one of their characteristics is that they do not retain historical changes
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Tracking Daily File Size Changes in SQL
When working with databases that store file metadata, it's often useful to track how file sizes change over time. If you have a table with the following structure: id | timestamp | name_file | size
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Merging Data in PostgreSQL vs. MySQL: How to Handle Upserts
When working with databases, you often need to update existing records or insert new ones based on whether a match is found. In PostgreSQL, this is efficiently handled using the MERGE statement.
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Are Indexes a Good Strategy for Analytical Databases?
Indexes are a well-known optimization technique in database management, often associated with improving query performance. However, whether they are a good strategy for analytical databases depends on
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How to Simulate Column Headers Without Selecting from a Table in SQL
In some cases, you may want to produce a result set with specified column names and values without querying an actual table. This is often used for testing purposes, documentation, or even when