gold
SELECT SUM(cost) FROM expense WHERE expense_description = 'Pizza'
this statement states no ordering of its own
sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84
R-SET EQUAL float-aggregate-order
student_club · mini_dev_postgresql from https://bird-bench.oss-cn-beijing.aliyuncs.com/minidev.zip (sha256 cc48ba16838204e4e214512030cb572eeb5f7bcdd999bae4b9b6ff12ec13b92f, downloaded 2026-09-07), member minidev/MINIDEV/mini_dev_postgresql.json
What is the total cost of the pizzas for all the events?
the hint the set supplies: total cost of the pizzas refers to SUM(cost) where expense_description = 'Pizza'
NOT_EQUAL states that these two statements disagree on this data under this rule. It does not state which of them is wrong.
SELECT SUM(cost) FROM expense WHERE expense_description = 'Pizza'
this statement states no ordering of its own
sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84
SELECT SUM(e.cost)
FROM expense e
WHERE e.expense_description = 'Pizza';
this statement states no ordering of its own
sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84
The marked tokens are where the two texts differ. Two statements that differ everywhere can return the same rows, and two that differ in one token can return other rows; the verdict above is read off the results.
from counterexample.json, 0 rows, up to 25 shown per side
| side | sumfloat4 |
|---|---|
| no rows |
from counterexample.json, 0 rows, up to 25 shown per side
| side | sumfloat4 |
|---|---|
| no rows |
set(second_rows) == set(gold_rows), float4/float8 cells as Python float as psycopg2 returns them, numeric as Decimal
https://github.com/bird-bench/mini_dev/blob/main/evaluation/evaluation_ex.py
result_eq: equal row counts and equal column counts, each row unordered as a quick rejection, then the two equal as a list when the gold text holds ORDER BY and as a multiset otherwise, under some permutation of the columns; DISTINCT is not stripped and re-executed, and the cells are PostgreSQL's as psycopg2 returns them
ruiqi-zhong/test-suite-sql-eval, exec_eval.py, result_eq, at commit 48cb78ec: https://github.com/ruiqi-zhong/test-suite-sql-eval/blob/48cb78ecf7f610620206283846c76751b18a1326/exec_eval.py
from counterexample.json, 1 row
| sumfloat4 |
|---|
| 600.11 |
from counterexample.json, 1 row
| sumfloat4 |
|---|
| 600.11 |
A smell is a mechanical reason to read this gold statement again. It is a heuristic: it does not state that the statement is wrong, and a maintainer decides.
this statement orders by a text column holding only numbers, and ordering it as a number gives a different answer, so the gold may be sorting 9.5 above 10
the statement states no top level ORDER BY
{
"heuristic": true,
"reason": "the statement states no top level ORDER BY"
}
this statement cuts its result at a LIMIT that does not decide which rows come back, so a different but equally correct statement can return other rows and score zero
the statement states no LIMIT
{
"heuristic": true,
"reason": "the statement states no LIMIT"
}
this statement aggregates floating point numbers, so its last digits depend on the order the rows were summed in; the values agree to six significant digits
from smells.json, 1 row
| 600.11005 |
{
"heuristic": true,
"rule": "R-SET",
"baseline_result_hash": "sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84",
"baseline_result": {
"columns": [
{
"name": "sum",
"declared_type": "float4"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "dec",
"value": "600.11"
}
]
],
"result_hash": "sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84"
},
"planner_statistics": {
"expense": {
"last_analyze": null,
"last_autoanalyze": null,
"n_mod_since_analyze": 32
}
},
"shuffle": {
"seed": "1",
"row_limit": 300000,
"tables": [
"expense"
],
"tables_not_shuffled": [],
"tables_skipped_for_size": {
"laptimes": 400524,
"legalities": 427907,
"posthistory": 303155,
"trans": 1056320,
"yearmonth": 383282
},
"tables_not_reached_by_a_copy": {}
},
"shuffled_copies": {
"run": true,
"verdict": "not_equal",
"differs": true,
"result_hash": "sha256:28a33fd0933dc8c2b7eb34dc1b147cee178aa7665999cce122d919d75a4750d2",
"result": {
"columns": [
{
"name": "sum",
"declared_type": "float4"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "dec",
"value": "600.11005"
}
]
],
"result_hash": "sha256:28a33fd0933dc8c2b7eb34dc1b147cee178aa7665999cce122d919d75a4750d2"
}
},
"plan_variant": {
"run": false,
"reason": "the plan variant was not asked for"
},
"float_cells": [
{
"row": 0,
"column": "sum",
"declared_type": "float4",
"baseline": "600.11",
"rerun": "600.11005"
}
],
"significant_digits": 6
}
SELECT SUM(cost) FROM expense WHERE expense_description = 'Pizza'
result_hash sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84 recomputed from this JSON: match
record_hash sha256:8fcfe5fbde1ec1b5c928d3d764fc61c625f4d805387fb1218522acba7b91b4a6 recomputed from this JSON: match
from evidence-gold.json, 1 row
| sumfloat4 |
|---|
| 600.11 |
SELECT SUM(e.cost)
FROM expense e
WHERE e.expense_description = 'Pizza';
result_hash sha256:0755eee7cb5f3b509bba8df2e532e80cca0094942fe7905c819842bbede6fd84 recomputed from this JSON: match
record_hash sha256:26360edd5de14cc367db26363f2258368f04a8b4aec5c097ab113c10e3b48ce3 recomputed from this JSON: match
from evidence-second.json, 1 row
| sumfloat4 |
|---|
| 600.11 |
re-run this statement read-only against PostgreSQL 16.15 (Debian 16.15-1.pgdg13+2) on aarch64-unknown-linux-gnu, compiled by gcc (Debian 14.2.0-19) 14.2.0, 64-bit | server=172.17.0.2/32:5432 | database=bird under the session settings and over the data this record's fixture digest names, and compare the two results under R-SET
re-run this statement read-only against PostgreSQL 16.15 (Debian 16.15-1.pgdg13+2) on aarch64-unknown-linux-gnu, compiled by gcc (Debian 14.2.0-19) 14.2.0, 64-bit | server=172.17.0.2/32:5432 | database=bird under the session settings and over the data this record's fixture digest names, and compare the two results under R-SET