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Increment Row Number on Group

sql
dense-rank
row-number
materialized-views
Anton ShumikhinbyAnton Shumikhin·Oct 30, 2024
TLDR

Craving for a quick solution to group-wise row numbering? Say hello to ROW_NUMBER() and PARTITION BY:

SELECT YourGroupColumn, ROW_NUMBER() OVER(PARTITION BY YourGroupColumn ORDER BY YourOrderColumn) AS GroupRowNumber FROM YourTable;

This handy piece of code assigns a sequential integer initiating from 1 to rows with the same YourGroupColumn value and resets every time there's a new group on the horizon. The order of sorting? That's ruled by YourOrderColumn.

Shake hands with DENSE_RANK()

Now, what if you want to spin the wheel and increment the row number only when there's a change in a specific column? A different drummer beats for it - it's called DENSE_RANK().

SELECT shade, -- imagine this is the category deciding the drumbeat of the row number increment DENSE_RANK() OVER(ORDER BY shade) AS t_index -- our drummer FROM YourTable;

The beauty of t_index here is that it only rolls up when a unique shade value surfaces, else it retains the status quo. No worries about the repetition of the shade values!

Cooking custom row numbers

Let's spice things up! Suppose you want a unique index within each shade group and a sequential index (s_index) counting rows in the entire result set. Get the best of both worlds with a blend of ROW_NUMBER() and DENSE_RANK().

SELECT shade, t_index, ROW_NUMBER() OVER(PARTITION BY shade ORDER BY YourOrderColumn) AS s_index -- spices up a unique count within the shade FROM ( SELECT *, DENSE_RANK() OVER(ORDER BY shade) AS t_index -- preserves the count, kicking it up a notch only with a change in shade! FROM YourTable ) AS SubQuery;

When gaps creep in

Sometimes life, or sequential numbering rather, comes with gaps - courtesy to deleted records. Opt for a dynamo like a CTE (Common Table Expression) or a subquery in such cases to reinstate order:

WITH RankedTable AS ( SELECT *, ROW_NUMBER() OVER(PARTITION BY shade ORDER BY YourOrderColumn) AS s_index FROM YourTable ) SELECT *, DENSE_RANK() OVER(ORDER BY s_index) AS t_index -- Voila! A seamless sequence irrespective of the initial gaps FROM RankedTable;

Efficiency to the rescue!

An efficient sort performance especially with a behemoth dataset, subtracts I/O operations. You can live this dream with indexed views or materialized views enabling the precalculation of rankings.

CREATE MATERIALIZED VIEW YourView AS SELECT *, ROW_NUMBER() OVER(PARTITION BY shade ORDER BY YourOrderColumn) AS s_index, -- What's cooking? A sizzling unique count within the shade... DENSE_RANK() OVER(ORDER BY shade) AS t_index -- ...tossed with a well-preserved count, incrementing only with a shade change! FROM YourTable; -- Hungry for data, are we?

Wrestling with complexities

For the braver ones grappling with severe scenarios like distributed databases, replication lags, or concurrency issues, consider isolation levels and transaction strategies. It's like weaving a safety net with temporary tables, locking mechanisms, or sometimes even application-level logic to ensure safe and consistent numbering.

Practical takeaways

"Practice, practice, practice!" - as the inspirational SQL fortune cookie says. Before you crack on with your hakuna matata coding spree, here are some snacks for thought:

  • ROW_NUMBER() is your faithful friend for unique, incremental counting.
  • Dial DENSE_RANK() for maintaining ranks across gaps.
  • Why not marry the two functions for customised grouping and sequencing?
  • Indexed views or materialized views are your chariots for better performance.
  • Think on your feet and adapt advanced SQL and DB tactics to overcome complexities. Coding is not a cookie-cutter job but about making the cookie fit the problem!