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# 5 SQL Tricks That'll Make You Look Like a Senior Data Engineer

**[techTFQ](https://daily.dev/sources/techtfq)** · 30 min read · 13 upvotes · 1 comments

## Summary

Five practical SQL tricks for data engineers: using OFFSET to find the nth highest value without subqueries or window functions; DISTINCT ON (PostgreSQL-specific) to return one row per group; the RETURNING keyword to capture modified rows from DML operations; the overlap operator (&&) with daterange for detecting overlapping date ranges; and GENERATE_SERIES to identify gaps in time-series data. Each trick is demonstrated with a real dataset of customer orders and staff leave records.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=wpmPcugbCgw>

## Questions this post answers

### How can I find the nth highest value in SQL without using a subquery or window function?

Use LIMIT combined with OFFSET after sorting the data in descending order. OFFSET skips a specified number of rows from the top of the result set before returning data, so to get the second-highest value you sort descending, set OFFSET 1 to skip the top row, then LIMIT 1 to return only the next row. Using a very large OFFSET value hurts performance because the full result set is still generated before rows are skipped.

_Track practical SQL techniques like this one on daily.dev while sharpening query-writing skills._

### What does PostgreSQL's DISTINCT ON clause do and how is it different from GROUP BY?

DISTINCT ON returns exactly one row per unique value of the specified column, choosing which row based on the ORDER BY clause, without needing a window function like FIRST_VALUE. For example, DISTINCT ON (customer_name) ordered by order_date descending returns each customer's single latest order. The column used in DISTINCT ON must be the first column listed in ORDER BY, otherwise PostgreSQL throws an error.

_Developers comparing DISTINCT ON against window functions can keep refining PostgreSQL skills through daily.dev._

### How do I detect overlapping date ranges in PostgreSQL, like overlapping employee leave requests?

Use the overlap operator (&&) together with a range function such as daterange() instead of writing manual comparison conditions across a self-joined table. Each daterange() call takes a start date, end date, and a bound argument (combinations of square brackets and parentheses controlling whether the start or end date is included or excluded), and the && operator returns rows where the two generated date ranges intersect.

_Anyone building booking or scheduling logic can keep these PostgreSQL range techniques close via daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@ilijaveselinovic** · 1 upvotes

> With Claude every engineer is a senior xD

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---

Tags: [#sql](https://daily.dev/tags/sql), [#postgresql](https://daily.dev/tags/postgresql), [#data-engineering](https://daily.dev/tags/data-engineering)

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