SQL Analysis · Chapter 7 of 10

Date-Time Analysis

Work safely with PostgreSQL dates, timestamps, intervals, and truncation for stable period reporting.

Why this chapter matters

Time logic is a common source of reporting bugs, especially around time zones and period boundaries.

What you will learn

  • Truncate timestamps into day, week, and month buckets.
  • Apply interval arithmetic for retention and cycle-time metrics.
  • Handle timezone-aware analysis using PostgreSQL timestamp types.

Lessons in this chapter

  1. Time data typesDistinguish date, timestamp, and timestamptz behavior in PostgreSQL. Read the full guide →
  2. Period bucketingUse date_trunc and casting patterns for consistent reporting windows.
  3. Timezone correctnessConvert and compare timestamps with explicit timezone assumptions.
  4. Retention interval logicMeasure elapsed time and lagged events with interval-aware SQL.

Study task

Generate a PostgreSQL weekly trend of support tickets opened and closed, aligned to UTC week boundaries.

Chapter checkpoint

Which PostgreSQL function is commonly used to bucket timestamps by month?

date_trunc('month', timestamp_column) is commonly used to bucket timestamps by month.