I had the idea of building a working Chess game using purely SQL.
The chess framing is a bit of a trojan horse, honestly. The actual point is that SQL can represent any stateful 2D grid. Calendars, heatmaps, seating plans, game of life. The schema is always the same: two coordinate columns and a value. The pivot query doesn't change.
A few people have asked why not just use a 64-char string or an array type. You could! But you lose all the relational goodness: joins, aggregations, filtering by piece type. SELECT COUNT(*) FROM board WHERE piece = '♙' just works.
SQL can make 2D data, but it extremely bad at it. It’s a good opportunity to wonder whether this part can be improved.
“Pivot tables”: I often have a list of dates, then categories that I want to become columns. SQL can’t do that so there is a technique of spreading values to each column then doing a MAX of each value per date. It is clumsy and verbose but works perfectly… as long as categories are known in advance and fixed. There should be an SQL instruction to pivot those rows into columns.
Example: SELECT date, category, metric; -- I want to show 1 row per date only, with each category as a column.
```
SELECT date,
MAX(
CASE category WHEN ‘page_hits’ THEN metric END
) as “Page Hits”,
MAX(
CASE category WHEN ‘user_count’ THEN metric END
) as “User Count”
GROUP BY date;
^ Without MAX and GROUP BY:
2026-03-30 Value1 NULL
2026-03-30 NULL Value2
2026-03-31 Value1 NULL
(etc)
The MAX just merges all rows of the same date.
```
SQL should just have an instruction like: SELECT date, PIVOT(category, metric); to display as many columns as categories.
This thought should be extended for more than 2 dimensions.
Tool looks nice, but I would prefer such a tool written in a better (native?) language than JavaScript. Security is also important to me, so I only use open-source tools. I’m going to stick with DBeaver and DataGrip.
I had the idea of building a working Chess game using purely SQL.
The chess framing is a bit of a trojan horse, honestly. The actual point is that SQL can represent any stateful 2D grid. Calendars, heatmaps, seating plans, game of life. The schema is always the same: two coordinate columns and a value. The pivot query doesn't change.
A few people have asked why not just use a 64-char string or an array type. You could! But you lose all the relational goodness: joins, aggregations, filtering by piece type. SELECT COUNT(*) FROM board WHERE piece = '♙' just works.
“Pivot tables”: I often have a list of dates, then categories that I want to become columns. SQL can’t do that so there is a technique of spreading values to each column then doing a MAX of each value per date. It is clumsy and verbose but works perfectly… as long as categories are known in advance and fixed. There should be an SQL instruction to pivot those rows into columns.
Example: SELECT date, category, metric; -- I want to show 1 row per date only, with each category as a column.
``` SELECT date,
MAX( CASE category WHEN ‘page_hits’ THEN metric END ) as “Page Hits”,
MAX( CASE category WHEN ‘user_count’ THEN metric END ) as “User Count”
GROUP BY date;
^ Without MAX and GROUP BY: 2026-03-30 Value1 NULL 2026-03-30 NULL Value2 2026-03-31 Value1 NULL (etc) The MAX just merges all rows of the same date. ```
SQL should just have an instruction like: SELECT date, PIVOT(category, metric); to display as many columns as categories.
This thought should be extended for more than 2 dimensions.