gold
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
- abs(longitude)
- descending
sha256:d4d87fb991696c450e12529c6c599b392de69debe7b966d28ef8cccdb2210f15
R-ORD GOLD-ONLY arbitrary-cut not-a-function-of-the-data
california_schools · 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 grade span offered in the school with the highest longitude?
the hint the set supplies: the highest longitude refers to the school with the maximum absolute longitude value.
This question was audited without a prediction beside it, so there is nothing to compare the gold with. The probes below read the gold alone.
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
sha256:d4d87fb991696c450e12529c6c599b392de69debe7b966d28ef8cccdb2210f15
from evidence-gold.json, 1 row
| gsofferedtext |
|---|
| K-8 |
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
no ORDER BY key resolves to a text column
{
"heuristic": true,
"reason": "no ORDER BY key resolves to a text column",
"keys": [
{
"key": "abs(longitude)",
"not_applicable": "the key is an expression and not a column"
}
]
}
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
from smells.json, 2 rows
| NULL null | 124.28481 |
| K-8 str | 124.28481 |
{
"heuristic": true,
"cut": 1,
"offset": 0,
"distinct_kept": false,
"unbounded_sql": "SELECT gsoffered, abs(longitude) AS attestql_ordering_key_0 FROM schools ORDER BY abs(longitude) DESC NULLS LAST",
"unbounded_rows": 17686,
"projected_columns": [
"gsoffered"
],
"ordering_key_columns": [
"attestql_ordering_key_0"
],
"ordering_keys": [
{
"key": "abs(longitude)",
"direction": "desc",
"nulls": "last",
"nulls_first_in_effect": false,
"returned_rows_null_in_this_key": 0,
"fires": false
}
],
"tied_at_the_cut": {
"positions": [
0,
1
],
"tied_rows": 2,
"distinct_projected_answers": 2,
"rows": [
[
{
"type": "null",
"value": null
}
],
[
{
"type": "str",
"value": "K-8"
}
]
]
},
"case": "tie-at-the-cut"
}
rerun over the same rows in another physical order this statement gives another answer, so its result depends on how the rows are stored and not only on the data
from smells.json, 1 row
| NULL |
{
"heuristic": true,
"rule": "R-ORD",
"baseline_result_hash": "sha256:d4d87fb991696c450e12529c6c599b392de69debe7b966d28ef8cccdb2210f15",
"baseline_result": {
"columns": [
{
"name": "gsoffered",
"declared_type": "text"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "str",
"value": "K-8"
}
]
],
"result_hash": "sha256:d4d87fb991696c450e12529c6c599b392de69debe7b966d28ef8cccdb2210f15"
},
"planner_statistics": {
"schools": {
"last_analyze": "2026-09-14 12:51:05.006896+00",
"last_autoanalyze": null,
"n_mod_since_analyze": 0
}
},
"shuffle": {
"seed": "1",
"row_limit": 300000,
"tables": [
"schools"
],
"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:ad3cdf827326e0095f8ec41c8da708e1998813bd07b0af516c415d3f697cd2ce",
"result": {
"columns": [
{
"name": "gsoffered",
"declared_type": "text"
}
],
"row_count": 1,
"truncated": false,
"rows_shown": 1,
"rows": [
[
{
"type": "null",
"value": null
}
]
],
"result_hash": "sha256:ad3cdf827326e0095f8ec41c8da708e1998813bd07b0af516c415d3f697cd2ce"
}
},
"plan_variant": {
"run": false,
"reason": "the plan variant was not asked for"
}
}
this statement returns the same whole row more than once and never says DISTINCT, so a statement answering the same question once per row disagrees on multiplicity alone
{
"heuristic": true,
"rows": 1,
"distinct_rows": 1,
"repeated_rows": 0,
"largest_repeat": 1,
"result_bounded": false,
"distinct_stated": false,
"set_operation": false,
"not_applicable": "a result of fewer than two rows has nothing to repeat"
}
SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC NULLS LAST LIMIT 1
result_hash sha256:d4d87fb991696c450e12529c6c599b392de69debe7b966d28ef8cccdb2210f15 recomputed from this JSON: match
record_hash sha256:a631b8c3397572b936c54d0b9315c3902b4fbedaf2ecbaf32a60b245f637bb3c recomputed from this JSON: match
from evidence-gold.json, 1 row
| gsofferedtext |
|---|
| K-8 |
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-ORD