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sample5.sql
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268 lines (244 loc) · 5.43 KB
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-- data read.mdのリンクの/* 差集合で関係除算を表現する */
--
-- emp
-- ------
-- 神崎
-- 相田
-- JOINとhavingで情報を抽出(最頻値問題の解答)
SELECT
emp
FROM
empskills es
INNER JOIN
skills ss
ON
es.skill = ss.skill
GROUP BY
emp
HAVING COUNT(*) = ( SELECT COUNT(*) FROM skills)
--空集合の活用(参考書のp131の図がわかりやすい)
--step1 差分の獲得
--差がある
SELECT
ss.skill
FROM
skills ss
EXCEPT
SELECT
es.skill
FROM
empskills es
WHERE
es.emp ='平井';
--差が全くない(抽出したいタイプのレコード)
SELECT
ss.skill
FROM
skills ss
EXCEPT
SELECT
es.skill
FROM
empskills es
WHERE
es.emp ='相田';
--step2 差分がない=NOT EXISTSを使う
SELECT
*
FROM
empskills es
WHERE
NOT EXISTS
(
SELECT
skill
FROM
skills ss
EXCEPT
SELECT
skill
FROM
empskills es2
WHERE
es.emp = es2.emp
)
--step3 重複を除く
SELECT
DISTINCT(es.emp)
FROM
empskills es
WHERE
NOT EXISTS
(
SELECT
skill
FROM
skills ss
EXCEPT
SELECT
skill
FROM
empskills es2
WHERE
es.emp = es2.emp
);
--別解(EXCEPTを使わずに)
SELECT
es.emp
FROM
EmpSkills es
INNER JOIN
Skills s
ON
es.skill = s.skill
GROUP BY
es.emp
HAVING COUNT(*) = (SELECT COUNT(*) FROM Skills)
-- data read.mdのリンクの等しい部分集合を見つける
-- s1_sup | s2_sup | cnt
-- ----------------------------------+----------------------------------+-----
-- A | C | 3
-- B | D | 2
-- C | A | 3
-- D | B | 2
-- step1 自己結合し、共通した組み合わせをもつ(INNER JOINのほうがわかりやすいかも)
SELECT
s1.sup as s1_sup,
s2.sup as s2_sup,
COUNT(*) as cnt
FROM
supparts s1,supparts s2
WHERE
s1.sup <> s2.sup AND s1.part = s2.part
GROUP BY
s1_sup,s2_sup
--step2 countが自分(s1.sup)と同じ ⇒ 自分から見た場合に過不足がないと判断できる
--逆側(s2.sup)からみても過不足ないことが条件
--havingは全体だけではなく、一行単位での処理も当然できる
SELECT
s1.sup as s1_sup,
s2.sup as s2_sup,
COUNT(*) as cnt
FROM
supparts s1,supparts s2
WHERE
--重複を外したい場合は s1.sup <> s2.supをs1.sup < s2.supにする
s1.sup <> s2.sup AND s1.part = s2.part
GROUP BY
s1_sup,s2_sup
HAVING
COUNT(*) = ( SELECT COUNT(*) FROM supparts s3 WHERE s3.sup = s1.sup)
AND COUNT(*) = ( SELECT COUNT(*) FROM supparts s4 WHERE s4.sup = s2.sup)
ORDER BY
s1_sup,s2_sup
-- 重複行の抽出
-- rowid
-- -------
-- 3
-- 2
SELECT
p1.rowid
FROM
products p1
EXCEPT (
-- name,priceで重複のない行
SELECT
MAX(p2.rowid)
FROM
products p2
GROUP BY
p2.name,p2.price
)
-- data テーブルに存在「しない」データを探す
-- +-----------+--------+
-- | meeting | person |
-- +-----------+--------+
-- | 第1回 | 宮田 |
-- | 第2回 | 坂東 |
-- | 第2回 | 水島 |
-- | 第3回 | 伊藤 |
-- +-----------+--------+
-- step1-1 まずは皆勤テーブルをつくる(これが難しい!)
-- まずは直積で全組み合わせを作る
SELECT
M1.meeting, M2.person
FROM
Meetings M1,Meetings M2
ORDER BY
M1.meeting, M2.person
--step1-2 その中で回数とM2の人間でDISTINTで重複を避ける
-- 全結合テーブルをみないとなぜM1.meetingとM2.personをとるのかがイメージしにくい
SELECT
DISTINCT M1.meeting, M2.person
FROM
Meetings M1,Meetings M2
ORDER BY
M1.meeting, M2.person
-- data 肯定⇔二重否定の変換に慣れよう
-- +------------+
-- | student_id |
-- +------------+
-- | 100 |
-- | 200 |
-- | 400 |
-- +------------+
-- 全教科50点以上 => NOT EXISTS 50点以下
SELECT
DISTINCT ts1.student_id
FROM
TestScores ts1
WHERE
NOT EXISTS (
SELECT * FROM TestScores ts2 WHERE ts1.student_id = ts2.student_id AND ts2.score < 50
)
--算数が80以上かつ国語が50以上
-- +------------+
-- | student_id |
-- +------------+
-- | 100 |
-- | 200 |
-- +------------+
SELECT
tbl_1.student_id
FROM
(
SELECT
ts1.student_id,
CASE WHEN
( ts1.subject = '国語' and ts1.score >= 50 ) or
( ts1.subject = '算数' and ts1.score >= 80 )
THEN 1 ELSE 0 END as score_div
FROM TestScores ts1
) tbl_1
GROUP BY tbl_1.student_id
HAVING SUM(tbl_1.score_div) = 2
--3人以上座れる積
--goal
-- +------------+-----------+
-- | first_seat | last_seat |
-- +------------+-----------+
-- | 3 | 5 |
-- | 7 | 9 |
-- | 8 | 10 |
-- | 9 | 11 |
-- +------------+-----------+
--step1 まずは自己結合にて始点と終点を決める
SELECT
s1.seat AS first_seat,
s1.status AS first_status,
s2.seat AS last_seat,
s2.status AS last_statues
FROM
Seats s1, Seats s2
WHERE
s2.seat = s1.seat + 2
--step2 空のレコードがあいだに存在していない条件を追加
SELECT
s1.seat AS first_seat,
s2.seat AS last_seat
FROM
Seats s1, Seats s2
WHERE
s2.seat = s1.seat + 2
AND
NOT EXISTS ( SELECT * FROM Seats s3 WHERE s3.seat BETWEEN s1.seat AND s2.seat AND s3.status = '占');