{
  "format": "attestql/audit/smells/2",
  "reading": "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.",
  "smells": [
    {
      "name": "ordering-over-numeric-text",
      "fired": false,
      "applicable": false,
      "evidence": {
        "heuristic": true,
        "means": "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",
        "reason": "no ORDER BY key resolves to a text column",
        "keys": [
          {
            "key": "count(*)",
            "not_applicable": "the key is an expression and not a column"
          }
        ]
      },
      "counterexample_rows": []
    },
    {
      "name": "arbitrary-cut",
      "fired": true,
      "applicable": true,
      "evidence": {
        "heuristic": true,
        "means": "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",
        "cut": 1,
        "offset": 0,
        "distinct_kept": false,
        "unbounded_sql": "SELECT teaminfo.team_long_name, count(*) AS attestql_ordering_key_0 FROM league leaguedata JOIN match matchdata ON leaguedata.id = matchdata.league_id JOIN team teaminfo ON matchdata.away_team_api_id = teaminfo.team_api_id WHERE leaguedata.name = 'Scotland Premier League' AND matchdata.season = '2009/2010' AND (matchdata.away_team_goal - matchdata.home_team_goal) > 0 GROUP BY teaminfo.team_long_name, matchdata.away_team_api_id ORDER BY count(*) DESC",
        "unbounded_rows": 12,
        "projected_columns": [
          "team_long_name"
        ],
        "ordering_key_columns": [
          "attestql_ordering_key_0"
        ],
        "ordering_keys": [
          {
            "key": "count(*)",
            "direction": "desc",
            "nulls": "default",
            "nulls_first_in_effect": true,
            "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": "str",
                "value": "Celtic"
              }
            ],
            [
              {
                "type": "str",
                "value": "Rangers"
              }
            ]
          ]
        },
        "case": "tie-at-the-cut"
      },
      "counterexample_rows": [
        [
          {
            "type": "str",
            "value": "Celtic"
          },
          {
            "type": "int",
            "value": 11
          }
        ],
        [
          {
            "type": "str",
            "value": "Rangers"
          },
          {
            "type": "int",
            "value": 11
          }
        ]
      ]
    },
    {
      "name": "not-a-function-of-the-data",
      "fired": false,
      "applicable": true,
      "evidence": {
        "heuristic": true,
        "means": "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",
        "rule": "R-ORD",
        "baseline_result_hash": "sha256:126f3e636d95310967a6e59d912caf40a16451dbea35146d384e238b2a1f3b4e",
        "baseline_result": {
          "columns": [
            {
              "name": "team_long_name",
              "declared_type": "text"
            }
          ],
          "row_count": 1,
          "truncated": false,
          "rows_shown": 1,
          "rows": [
            [
              {
                "type": "str",
                "value": "Celtic"
              }
            ]
          ],
          "result_hash": "sha256:126f3e636d95310967a6e59d912caf40a16451dbea35146d384e238b2a1f3b4e"
        },
        "planner_statistics": {
          "team": {
            "last_analyze": null,
            "last_autoanalyze": null,
            "n_mod_since_analyze": 299
          },
          "league": {
            "last_analyze": null,
            "last_autoanalyze": null,
            "n_mod_since_analyze": 11
          },
          "match": {
            "last_analyze": null,
            "last_autoanalyze": null,
            "n_mod_since_analyze": 25979
          }
        },
        "shuffle": {
          "seed": "1",
          "row_limit": 300000,
          "tables": [
            "team",
            "league",
            "match"
          ],
          "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": "equal",
          "differs": false,
          "result_hash": "sha256:126f3e636d95310967a6e59d912caf40a16451dbea35146d384e238b2a1f3b4e",
          "result": {
            "columns": [
              {
                "name": "team_long_name",
                "declared_type": "text"
              }
            ],
            "row_count": 1,
            "truncated": false,
            "rows_shown": 1,
            "rows": [
              [
                {
                  "type": "str",
                  "value": "Celtic"
                }
              ]
            ],
            "result_hash": "sha256:126f3e636d95310967a6e59d912caf40a16451dbea35146d384e238b2a1f3b4e"
          }
        },
        "plan_variant": {
          "run": false,
          "reason": "the plan variant was not asked for"
        }
      },
      "counterexample_rows": []
    }
  ]
}