Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601%
Price: $0.15090 2.9605%
Market Cap: $22.92B 0.7601%
Volume (24h): 1.55B 0%
Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
  • Market Cap: 22.92B 0.7601%
  • Volume (24h): 1.55B 0%
  • Dominance: 0.7601% 0.7601%
  • Price: $0.15090 2.9605%
Home > 视频 > Ranking Window Functions in SQL | How to get the latest price for multiple tokens

Ranking Window Functions in SQL | How to get the latest price for multiple tokens

Release: 2026/04/30 01:01 Reading: 0

Original author：SashaOnChain

Original source：https://www.youtube.com/embed/wQUVaaEfNDc

Ranking Window Functions in SQL | Crypto SQL Advanced #2 In this video, we break down one of the most important concepts in SQL for on-chain analytics — window functions. Instead of learning theory, we solve a real problem step by step: how to get the latest price for multiple tokens You’ll see: - why GROUP BY doesn’t work in this case - how window functions solve the problem - how row_number() works in practice - the difference between row_number, rank, and dense_rank This is part of my Crypto SQL Advanced series, where we move beyond syntax and start thinking like analysts. 00:00 Intro — Latest price problem 00:20 Adding more tokens (USDC & USDT) 00:33 Why GROUP BY fails 00:54 What we actually need 01:29 Window Functions explained 01:42 ROW_NUMBER + partitioning idea 02:11 Solving: latest price per token 02:36 RANK vs DENSE_RANK vs ROW_NUMBER 03:03 Outro — next steps #onchainanalytics #duneanalytics #crypto
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