Query and Manipulate JSON Data in SQL
Learn to store, query, and extract specific data from JSON columns using native SQL functions available in modern databases, enhancing flexibility for semi-structured data.
Curated list of production-ready SQL scripts and coding solutions.
Learn to store, query, and extract specific data from JSON columns using native SQL functions available in modern databases, enhancing flexibility for semi-structured data.
Understand how to assign ranks to rows within partitions using `ROW_NUMBER()`, `RANK()`, and `DENSE_RANK()` window functions for leaderboards, top N queries, or identifying distinct positions.
Learn how to use the COALESCE function in SQL to return the first non-NULL expression from a list, providing default values for potentially empty columns.
Use SQL's powerful CASE statement to implement conditional logic directly within your queries, categorize data, or perform different calculations based on specific criteria.
Discover how to use SQL window functions, specifically SUM() OVER(), to compute running totals or cumulative sums, valuable for financial reporting and analytics.
Learn to efficiently paginate large datasets in SQL using LIMIT and OFFSET clauses, crucial for web application performance and user experience.
Understand how to group rows with GROUP BY, calculate aggregate functions (SUM, AVG, COUNT), and filter groups using the HAVING clause in SQL.
Master INNER, LEFT, and RIGHT JOINs to combine data from multiple related tables efficiently, retrieving comprehensive datasets for your web app.
Learn how to use conditional aggregation with CASE WHEN inside aggregate functions to create a single report showing counts of different statuses or types in one SQL query.
Master the SQL UPSERT operation using PostgreSQL's INSERT ... ON CONFLICT DO UPDATE to either insert a new record or update an existing one atomically.
Learn to find duplicate records in a table based on specific columns and then delete all but one occurrence, maintaining data integrity.
Discover how to compute running totals or cumulative sums in SQL using window functions like SUM() OVER (ORDER BY ...) for financial and analytical reports.