D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Col 1 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Col 1 Col 2 Col 2 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F ターゲットファイルサイズに応 じて最適化します。 Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C ターゲットファイルサイズ Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering
D Customer E Customer F Col 1 Col 1 > 2023-02-06 Col 1 <= 2023-02-06 Leaf1 Col 1 Col 2 Col 2 Leaf6 Leaf7 Col 2 Col 2 Col 2 > C Col 2 <= C Col 2 > B Col 2 <= B Leaf2 Leaf3 Leaf4 Leaf5 Col 1 > 2023-02-05 Col 1 <= 2023-02-05 Col 2 > D Col 2 <= D Col 2 > C Col 2 <= C Col 1: date Col 2: customer_id Liquid Clustering ファイルサイズは均 一となりデータサイ ズの偏りはなくなる データファイルも木構 造により動的に分散さ れる（＝運用負荷の軽 減）
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