D1 rows read analytics: ~48,000 down to 5788
One daily analytics pull on a Cloudflare D1 database read 5788 rows after the change, against the alert's ~48,000, and a repeat pull read 0.


One daily analytics pull on a Cloudflare D1 database now reads 5788 rows, down from the alert’s ~48,000. That d1 rows read analytics figure comes from one real pull, and a repeat pull the same day read nothing. The note behind it prints every number below, so each one is quoted as printed.
What one pull read
Each old statement was run once through a scratch script, and the count was taken from meta.rows_read, so the per-statement figures add up to the pull’s total. The alert’s per-pull figure was ~48,000, and the re-measure of the old statements came to ~32,400. The note does not explain the gap between those two.
| Reading | Rows read |
|---|---|
| Alert, per pull | ~48,000 |
| Old statements, re-measured | ~32,400 |
| One real pull after the change | 5788 |
| Repeat pull, no flag | 0 |
The statements are listed below. Only vitals moved much, and the rest read the same rows as before.
| Statement | Before | After |
|---|---|---|
| views | ~618 | 618 |
| readThrough | 1934 | 1934 |
| engaged | 1378 | 1378 |
| vitals | 27056 | 483 |
| referrers | 619 | 619 |
| cta | 28 | 28 |
| outbound | 213 | 213 |
| sources | 515 | 515 |
The vitals cut did not change what vitals report, because vitals p75s and counts equal the kit’s. The pull after the change had rowsRead total 5788. The repeat, run without the force flag, printed this and touched D1 not at all:
{"skipped":{"reason":"today's rows are already stored; no D1 read ...","rowsRead":0}}This is one database and one pull, so it says nothing about other days. The note states no money saved and no result for other databases, and this post claims none. For the same measure-first habit on a different problem, see the SEO pass on two live sites, or the post on what burns a Claude Code quota.
Verdict
The d1 rows read analytics drop is measured for one pull: 5788 rows against the alert’s ~48,000, with a repeat pull at 0. Treat that as one day on one database, and run the same per-statement read on yours before trusting it.
Check the numbers yourself: open the readings note
Sources:evidence/stats-budget/readings.md, evidence/site-stats/c1-website-rows.md.
Responses
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