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###### tags: `database` # 並行管理 確保 * C (consistency) * 資料庫的資料符合 integrity constraints,也就是一些限制 * 資料庫與使用者共同維護 * I (isolation) * 對每筆交易都像是只有那個使用者在使用系統一樣 對於一次交易,其生命週期為: * Begin * Statement ends (如果有多個 statement) * End * Commit * Rollback ## 交易排程 ![](https://hackmd.io/_uploads/H1MS-JLEh.png) 並行交易希望能達到 * Serializable schedule: 同時有 $n$ 次交易,最終結果為該 $n$ 次交易的某個排列組合 * Recoverable schedule: 當一筆交易 abort 不影響其他筆交易;一筆交易 committed 後不應該被牽連而失去該筆交易 ### Anomalies * 發生資料衝突 (Conflict) (R: read, W: write) * WR conflict 一個先寫另一個後讀 * Dirty reads: 讀還沒 committed 的資料![](https://hackmd.io/_uploads/B1EB20BNn.png) * Unrecoverable schedule 或 Cascading aborts ![](https://hackmd.io/_uploads/r1fPnArE3.png) * RW conflict 一個先讀另一個後寫 * Unrepeatable reads: 讀兩次讀的東西不同![](https://hackmd.io/_uploads/S1tE20BN2.png) * WW conflict 一個先寫另一個後寫 * Lost update: 先寫的會失去 ![](https://hackmd.io/_uploads/SJKYhABNh.png) ## 解決資料衝突: Locking protocol ### Two-phase locking (2PL) * 鎖種類 * shared lock (R lock) * exclusive lock (W lock) * 階段 1. Growing phase: 只取鎖 2. Shrinking phase: 只放鎖 鎖以 Lock table (像是 hash table) 的方式管理。 ![](https://hackmd.io/_uploads/SkQ-lJINh.png) 2PL 解決序列化問題,但可能發生 * Cascading rollback * Deadlock * Starvation (根據不良的 waiting 隊列規則可能發生) ![](https://hackmd.io/_uploads/H1Zrx1L43.png) ### S2PL (S: strict) 與 2PL 唯一差別: 等到一個交易結束時一次將所有鎖放掉,其他時候不放鎖,等同於 shrinking phase 只有一瞬間。 Strict 保證不會發生 cascading abort。 ### 死結處理 * Detection: timeout + rollback * Prevention: Wait die,放棄執行時間較短者 * Conservative lock: S2PL 之上,連 growing phase 也只有一瞬間 * 需知道 r/w working set * 適合 stored procedure * 不適合 ad-hoc (隨當前資料情況決定交易內容) ## 鎖的顆粒度 (Granularity) 與 Multiple-granularity locking (MGL) 可以鎖的物件有階層關係。 ![](https://hackmd.io/_uploads/ByaXfJ8V2.png) 以此為基礎的鎖: MGL,基於 2PL 鎖的種類做出調整... (多了 intention lock 意向鎖): 鎖某物件時,連同其上層的所有親代物件都使用對應的意向鎖鎖起來。 > SIX 的白話文: 為 Share ( R ) 鎖,不過讀的下層存在 X 鎖。 ![](https://hackmd.io/_uploads/BkEYMy8Vn.png) ![](https://hackmd.io/_uploads/rJHofkIE2.png) ![](https://hackmd.io/_uploads/B15AGJUN2.png) 上解鎖的順序有講究: * 上鎖由根往葉 * 若改為由葉往根,上鎖時如果上層被鎖就無法繼續往下鎖了。 ![](https://hackmd.io/_uploads/r1U841U42.png) * 解鎖由葉往根 * 若給為由根往葉,根一解鎖馬上被鎖,可能在葉的鎖還沒釋放的情況下就被拿上層的鎖。 ![](https://hackmd.io/_uploads/HyQOVJUE3.png) ## 實時動態資料庫的 Phantoms 資料可能實時 insert, update 和 delete,有機會發生讀兩次資料不同的情況。 兩招解法: * EOF lock 或 MGL * 如果使用 MGL 實作 phantom 避免,要去 X lock 目標上層 (高一層 Granularity) 的物件,比如要寫 block 的話去鎖 file * 常拿去避免 insert phantom * 但不會想去避免 update phantom,因為太損效能 * Index/predicate lock 另外,Conservative lock 依然可能遇到 phantom,要看鎖了什麼東西。 ## Isolation model * Access model: 告知 read only/rw * Isolation level: 可放棄 serializable 的部分性質換取效能 上表為使用者角度,下表為實作角度。 ![](https://hackmd.io/_uploads/r1mbIk8Eh.png) ## 實務上考慮 Meta structure ![](https://hackmd.io/_uploads/BkeTFsbL4n.png) 由於 insert 和 delete 都需要先調整 meta structure 後調整 file,如果直接把 meta structure 鎖起來,insert 和 delete 就沒有並行性了。 要避免此瓶頸,可以不用完全遵照 S2PL,而是先 lock meta 後 lock file,在 lock 到 file 後可以放掉 meta 的 lock。 對 insert/delete 來說,資料不會錯誤是因為改 meta file 完對其他交易而言,相當於已經完成 insert/delete (只是還沒真的寫上去,但看起來是)。

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