SQL Query for Month-over-Month Growth Rate (MySQL & PostgreSQL)
Write a SQL query to calculate month-over-month growth rate using window functions. Includes LAG(), CTE approach, and handling NULL months.
Practical SQL examples, query patterns, and tips for data analysts and developers.
Write a SQL query to calculate month-over-month growth rate using window functions. Includes LAG(), CTE approach, and handling NULL months.
Step-by-step guide to joining 3+ tables in SQL. Covers INNER JOIN, LEFT JOIN ordering, and common mistakes that cause duplicate rows.
Two approaches to cumulative sums in SQL — the modern SUM() OVER() window function and the legacy self-join. With MySQL, PostgreSQL, and BigQuery examples.
How to identify duplicates with GROUP BY HAVING, and safely delete them using ROW_NUMBER() or a CTE. Works in MySQL, PostgreSQL, and SQL Server.
How text-to-SQL tools work under the hood — prompt engineering, schema awareness, and accuracy benchmarks. Plus when AI-generated SQL needs human review.
Get the most recent row for each group in SQL. Compares ROW_NUMBER(), correlated subquery, and DISTINCT ON approaches across MySQL, PostgreSQL, and BigQuery.
Count rows that meet specific conditions using CASE WHEN, FILTER, and IF. Includes counting distinct values with conditions and pivot-style summaries.
Update a table using values from another table. Covers MySQL, PostgreSQL, and SQL Server syntax differences with real examples.
Filtering by date is where beginners and pros diverge. Learn the exact WHERE clauses for today, yesterday, last 7 days, and current month across MySQL, PostgreSQL, and SQL Server.
CTEs and subqueries often produce identical results — but not identical plans. Here's when a WITH clause actually helps, when it hurts, and how to test it on your own database.
Turn category rows into columns with conditional aggregation — the portable technique that works on MySQL, PostgreSQL, SQLite, and SQL Server. Includes dynamic pivots.
Window functions are the most powerful SQL feature beginners skip. This guide explains OVER(), PARTITION BY, and ORDER BY with practical examples — row numbering, rankings, moving averages, and differences from GROUP BY.
Recursive CTEs explained with five practical examples: org charts, bill-of-materials, date range expansion, Fibonacci, and graph traversal. Includes the anchor/recursive structure and infinite-loop safeguards.
Why your SQL is slow and how indexes fix it: the index fundamentals, when indexes hurt, how to read EXPLAIN output, and the exact index designs for the most common slow-query patterns.
Write SQL to compare this year vs last year by month: YoY growth rate with LAG(), handling missing periods, and a ready-to-adapt CTE template.
Concatenate multiple rows into one string in SQL: MySQL GROUP_CONCAT, PostgreSQL STRING_AGG, SQL Server STRING_AGG, Oracle LISTAGG — with separators and ordering.
Get the full row that contains the max value per group in SQL: ROW_NUMBER() window function, NOT EXISTS, and a self-join — with MySQL and PostgreSQL examples.
Group timestamps into 15-minute, hourly, or daily buckets for reporting. Covers DATE_FORMAT, DATE_TRUNC, UNIX timestamp math, and the BigQuery TIMESTAMP_TRUNC approach with examples.
Write a SQL query that finds consecutive-day streaks — like days-in-a-row logins or habits. Covers the date-minus-row_number gap-and-islands technique with MySQL, PostgreSQL, and BigQuery examples.
Compare two tables and find rows that differ — missing rows, extra rows, and changed values. Covers EXCEPT, NOT EXISTS, and FULL OUTER JOIN with MySQL, PostgreSQL, and BigQuery syntax.