q1380 EQUAL

The question

What is the total amount of money spent for food?

the hint the set supplies: total amount of money spent refers to SUM(spent); spent for food refers to category = 'Food'

NOT_EQUAL states that these two statements disagree on this data under this rule. It does not state which of them is wrong.

The statements

gold

SELECT SUM(spent) FROM budget WHERE category = 'Food'

this statement states no ordering of its own

sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0

second

SELECT SUM(spent) FROM budget WHERE category = 'Food';

this statement states no ordering of its own

sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0

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.

The rows they differ in

in gold, not in the prediction, 0 rows

from counterexample.json, 0 rows, up to 25 shown per side

side	sumfloat4
no rows

in the prediction, not in gold, 0 rows

from counterexample.json, 0 rows, up to 25 shown per side

side	sumfloat4
no rows

What the benchmark would have said

BIRD's own check: 1

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

gold_rows: 1
second_rows: 1
gold_distinct_rows: 1
second_distinct_rows: 1

the test-suite check: 1

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

order_matters: false
gold_rows: 1
second_rows: 1
gold_columns: 1
second_columns: 1

The results

gold, 1 row

from counterexample.json, 1 row

sumfloat4
1234.7299

second, 1 row

from counterexample.json, 1 row

sumfloat4
1234.7299

The probes

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.

ordering-over-numeric-text not applicable

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

what it measured

{
  "heuristic": true,
  "reason": "the statement states no top level ORDER BY"
}

arbitrary-cut not applicable

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

what it measured

{
  "heuristic": true,
  "reason": "the statement states no LIMIT"
}

float-aggregate-order fired

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

1234.73

what it measured

{
  "heuristic": true,
  "rule": "R-SET",
  "baseline_result_hash": "sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0",
  "baseline_result": {
    "columns": [
      {
        "name": "sum",
        "declared_type": "float4"
      }
    ],
    "row_count": 1,
    "truncated": false,
    "rows_shown": 1,
    "rows": [
      [
        {
          "type": "dec",
          "value": "1234.7299"
        }
      ]
    ],
    "result_hash": "sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0"
  },
  "planner_statistics": {
    "budget": {
      "last_analyze": null,
      "last_autoanalyze": null,
      "n_mod_since_analyze": 52
    }
  },
  "shuffle": {
    "seed": "1",
    "row_limit": 300000,
    "tables": [
      "budget"
    ],
    "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": "sha256:815419e4e8923f72ebbe635f8e89724feaf1a5f55f118349f98175b130cb1136",
    "result": {
      "columns": [
        {
          "name": "sum",
          "declared_type": "float4"
        }
      ],
      "row_count": 1,
      "truncated": false,
      "rows_shown": 1,
      "rows": [
        [
          {
            "type": "dec",
            "value": "1234.73"
          }
        ]
      ],
      "result_hash": "sha256:815419e4e8923f72ebbe635f8e89724feaf1a5f55f118349f98175b130cb1136"
    }
  },
  "plan_variant": {
    "run": false,
    "reason": "the plan variant was not asked for"
  },
  "float_cells": [
    {
      "row": 0,
      "column": "sum",
      "declared_type": "float4",
      "baseline": "1234.7299",
      "rerun": "1234.73"
    }
  ],
  "significant_digits": 6
}

The evidence records

gold: evidence-gold.json

SELECT SUM(spent) FROM budget WHERE category = 'Food'

statement read from: data/questions/mini_dev_postgresql.json
digest: sha256:d2731292f20b8d8569cd956dd747ffe1df13cd625076263e38ae9ebcef50b1ab
origin: https://bird-bench.oss-cn-beijing.aliyuncs.com/minidev.zip (sha256 cc48ba16838204e4e214512030cb572eeb5f7bcdd999bae4b9b6ff12ec13b92f, downloaded 2026-09-07), member minidev/MINIDEV/mini_dev_postgresql.json, 2024-06-19

result_hash sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0 recomputed from this JSON: match

record_hash sha256:bec537cd5a74ff2d3883553612ee67b10873fde6466556ec7654d9e16868ca4d recomputed from this JSON: match

the result this record holds, 1 row

from evidence-gold.json, 1 row

sumfloat4
1234.7299

what ran, and where

run: audit-715e02b9-6229-4aab-aa2e-7df62f68e7a4
executed at: 2026-09-08T05:25:47.561082+00:00
data as of: 2026-09-08T05:25:39.400422+00:00
backend at checkout: 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
backend that answered: 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
database role: auditor
replay rule: R-SET
question set version: sha256:d2731292f20b8d8569cd956dd747ffe1df13cd625076263e38ae9ebcef50b1ab
validator: audit:libpg_query-parse
checks run: parses_as_exactly_one_statement, the_one_statement_is_a_select, no_placeholder_without_a_bound_parameter
statement timeout: 120000 ms
rows: 1 row

the session it ran under

engine: postgresql
time_zone: Etc/UTC
date_style: ISO, MDY
interval_style: postgres
extra_float_digits: 1
database_collation: en_US.utf8
work_mem: 4096
hash_mem_multiplier: 2

recorded beside them

statement_timeout: 0
search_path: "$user", public
server_version: 16.15 (Debian 16.15-1.pgdg13+2)
server_version_num: 160015
transaction_read_only: on
max_parallel_workers_per_gather: 2
server_encoding: UTF8
datlocprovider: c
daticulocale
datcollversion: 2.41

the rendering and the data

version: attestql/audit/2
numeric_scale: 6
timestamp_format: %Y-%m-%dT%H:%M:%S.%fZ
timezone: UTC
null_rendering: NULL
encoding: utf-8
schema digest: sha256:6ae4b18e71a9538b58a72a8dc83abe50f409b4489992fc9ffc715037a7828021
source file sha256: sha256:31b1da211849d24a57c9af7636da46a5b82fc8a3ca1542bb3ebd8775e9a31cec
rows in public.budget: 52

second: evidence-second.json

SELECT SUM(spent) FROM budget WHERE category = 'Food';

statement read from: data/preds-pg/predict_mini_dev_phi-3-medium-128k-instruct-1_postgresql.json
digest: sha256:8defb4399ab3393200cfba510024df7d9cf2cff8c9c7df647e3309cf751ac82d
origin: https://raw.githubusercontent.com/bird-bench/mini_dev/b3d4bcbbae9a96934ad812551eb400c7a3b23c12/llm/exp_result/sql_output_kg/predict_mini_dev_phi-3-medium-128k-instruct-1_postgresql.json, 2024-06-19

result_hash sha256:abaa01a4ef80cd27d53cb3b55b4ba1df448a0d110ec3b5e034976199556be8a0 recomputed from this JSON: match

record_hash sha256:8320840ec8175935da0154277cd4b43e05981bf8e257f223e5480ffa793bd98f recomputed from this JSON: match

the result this record holds, 1 row

from evidence-second.json, 1 row

sumfloat4
1234.7299

what ran, and where

run: audit-715e02b9-6229-4aab-aa2e-7df62f68e7a4
executed at: 2026-09-08T05:25:47.563452+00:00
data as of: 2026-09-08T05:25:39.400422+00:00
backend at checkout: 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
backend that answered: 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
database role: auditor
replay rule: R-SET
question set version: sha256:d2731292f20b8d8569cd956dd747ffe1df13cd625076263e38ae9ebcef50b1ab
validator: audit:libpg_query-parse
checks run: parses_as_exactly_one_statement, the_one_statement_is_a_select, no_placeholder_without_a_bound_parameter
statement timeout: 120000 ms
rows: 1 row

the session it ran under

engine: postgresql
time_zone: Etc/UTC
date_style: ISO, MDY
interval_style: postgres
extra_float_digits: 1
database_collation: en_US.utf8
work_mem: 4096
hash_mem_multiplier: 2

recorded beside them

statement_timeout: 0
search_path: "$user", public
server_version: 16.15 (Debian 16.15-1.pgdg13+2)
server_version_num: 160015
transaction_read_only: on
max_parallel_workers_per_gather: 2
server_encoding: UTF8
datlocprovider: c
daticulocale
datcollversion: 2.41

the rendering and the data

version: attestql/audit/2
numeric_scale: 6
timestamp_format: %Y-%m-%dT%H:%M:%S.%fZ
timezone: UTC
null_rendering: NULL
encoding: utf-8
schema digest: sha256:6ae4b18e71a9538b58a72a8dc83abe50f409b4489992fc9ffc715037a7828021
source file sha256: sha256:31b1da211849d24a57c9af7636da46a5b82fc8a3ca1542bb3ebd8775e9a31cec
rows in public.budget: 52

Running these again

gold

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

second

This question's run

run: audit-715e02b9-6229-4aab-aa2e-7df62f68e7a4
server: 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
question set: 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
replay rule: R-SET

the run this question belongs to

The JSON this page was rendered from

counterexample.json attestql/audit/counterexample/2
evidence-gold.json the gold's evidence record
evidence-second.json the prediction's evidence record
smells.json attestql/audit/smells/2

The question

The statements

◀ gold

▶ second

The rows they differ in

in gold, not in the prediction, 0 rows

in the prediction, not in gold, 0 rows

What the benchmark would have said

BIRD's own check: 1

the test-suite check: 1

The results

The probes

ordering-over-numeric-text not applicable

arbitrary-cut not applicable

float-aggregate-order fired

The evidence records

gold: evidence-gold.json

recorded beside them

second: evidence-second.json

recorded beside them

Running these again

gold

second

This question's run

The JSON this page was rendered from

gold

second