ソースコード
with TBL_2022 as ( 
    select
        AREA_CODE
        , ROUND( 
            CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
            , 1
        ) as RATIO
        , DENSE_RANK() OVER ( 
            ORDER BY
                ROUND( 
                    CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
                    , 1
                ) asc
        ) as RANK 
    from
        HOUSEHOLD_SURVEY 
    where
        SURVEY_YEAR = 2022
) 
, TBL_2017 as ( 
    select
        AREA_CODE
        , ROUND( 
            CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
            , 1
        ) as RATIO
        , DENSE_RANK() OVER ( 
            ORDER BY
                ROUND( 
                    CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
                    , 1
                ) asc
        ) as RANK 
    from
        HOUSEHOLD_SURVEY 
    where
        SURVEY_YEAR = 2017
) 
, TBL_2012 as ( 
    select
        AREA_CODE
        , ROUND( 
            CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
            , 1
        ) as RATIO
        , DENSE_RANK() OVER ( 
            ORDER BY
                ROUND( 
                    CAST(FOOD_EXP as real) / CONSUMPTION_EXP * 100
                    , 1
                ) asc
        ) as RANK 
    from
        HOUSEHOLD_SURVEY 
    where
        SURVEY_YEAR = 2012
) 
select
    T22.AREA_CODE as CODE
    , AREA.AREA_NAME as NAME
    , T22.RANK as "2022_RANK"
    , T22.RATIO || '%' as "2022_RATIO"
    , T17.RANK as "2017_RANK"
    , T22.RATIO || '%' as "2017_RATIO"
    , T17.RANK as "2012_RANK"
    , T22.RATIO || '%' as "2012_RATIO" 
from
    TBL_2022 as T22 
    inner join TBL_2017 as T17 
        on T22.AREA_CODE = T17.AREA_CODE 
    inner join TBL_2012 as T12 
        on T22.AREA_CODE = T12.AREA_CODE 
    inner join AREA 
        on T22.AREA_CODE = AREA.AREA_CODE 
order by
    T22.RANK asc
    , AREA.AREA_CODE desc
提出情報
提出日時2024/11/07 14:40:47
コンテスト第10回 SQLコンテスト
問題食料費の割合
受験者kawano
状態 (詳細)WA
(Wrong Answer: 誤答)
メモリ使用量86 MB
メッセージ
テストケース(通過数/総数)
0/3
状態
メモリ使用量
データパターン1
WA
86 MB
データパターン2
WA
85 MB
データパターン3
WA
86 MB