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查詢優(yōu)化ppt課件(已修改)

2025-01-31 09:28 本頁面
 

【正文】 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 第 6章 查詢優(yōu)化 ?本章內(nèi)容參考 ?數(shù)據(jù)庫概念 (第四版 ) by A. Silberschatz ?Chapter 14 Optimization ?簡介 +自學 ?本章要解決的關(guān)鍵問題 ?如何找到具有最低求值代價的求值計劃 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 主要內(nèi)容 ?概述 ?用于代價估算的統(tǒng)計信息 ?關(guān)系代數(shù)表達式的轉(zhuǎn)換 ?基于代價的優(yōu)化算法 ?物化視圖與視圖維護 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 概述 ? 一個給定查詢有多種可選擇的求值方法 ?等價表達式 ?一個操作有若干不同算法 (Chapter 5) ? 一個查詢求值方法的好壞帶來的代價差別可能是巨大的 ? 例如 : 執(zhí)行 r X s 后續(xù)選擇 = 比執(zhí)行一個同樣條件的連接慢得多 ? 需要估算操作的代價 ?依賴于數(shù)據(jù)庫維護的統(tǒng)計信息 ?例如元組數(shù) , 連接屬性的不同值的數(shù)目 , 等等 ?需要對中間結(jié)果估算統(tǒng)計信息以便對復雜表達式計算代價 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 概述 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 概述 ? 對一個表達式的查詢求值方案的生成涉及幾個步驟 : ?利用等價規(guī)則將一個表達式轉(zhuǎn)換成另一個等價的表達式 (Annotate)結(jié)果表達式以得到其他查詢計劃 ? 整個過程稱為基于代價的優(yōu)化 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition SQL Constructs ? SECLECT (DISTINCT) list of columns ? FROM list of tables ? WHERE list of Boolean Factors ? GROUP BY list of columns ? HAVING list of Boolean Factors ? ORDER BY list of columns 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition SQL Semantics ? Take Cartesian product of FROM tables ? Project only those referenced columns ? WHERE: apply all filters in WHERE ? GROUP BY: form groups on results ? HAVING: apply filter to groups ? ORDER BY: make sure results in right order ? DISTINCT: remove duplicates ? Q: Is this “operational semantics” efficient? ? Different plans: mainly different in the first three 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Optimization: Different Strategies ? Optimal approach: ?Enumerate(枚舉 ) each possible plan ?Measure its performance by running it ?Pick the fastest one ? Heuristics approach: ?fixed heuristics all the way through plan construction ?.: always nested loop joins, indexed relation as inner ?.: order relations from smallest to biggest 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Costbased Optimization ? Plan space: what is the space of query plans? ? Cost estimation: how to estimate the cost, without executing each? ? Search algorithm: how to search the space, as guided by cost estimates 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Space of Query Plans ? Selections: ?algorithms: sequential, index scan ? Joins: ?algorithms: nestedloop, sort merge, hash ? Ordering/Grouping: ?can an “interesting order” be produced by join/selections? ?algorithm: sorting, hashbased ? They interleave with each other! 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Huge Space! Assumptions to Help ? Typical assumptions to help reduce the space: ?Projections: ?pushed down to reduce of columns ?Selections: ?pushed down to reduce of rows ?Joins: ?leftdeep joins ?avoid Cartesian products。 delay it in the plan –Q: how to avoid Cartesian products? ?May miss an optimal plan! 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Cost/Size Estimation ? Accurate relatively ?goal is to pare plans, not to predict exact cost ?more of an art than an exact science ? Each operator: input size, cost, output size ?estimate cost based on input size ?estimate output size (for next operator) or selectivity ?selectivity = ratio of output to input 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Cost Estimation ? Input: simple DB statistics ? of tuples amp。 disk pages ? of distinct values per column ?statistics updated periodically ? Assumption of attribute/predicate independence ?When no estimate available, use magic number ? New/Alternative approaches: ?sampling, histogram of DB 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Selectivity Factors: Range Selection ? What is assumed in these formulas? ? column value1: ?F = (maxValue value1) / rangeOfValue ? column in value1:value2 ?F = (value2 value1) / rangeOfValue 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition Search the Plan Space ? Baseline: exhaustive search ?enumerate all binations, and pare their cost ? Search method parameters: ?plan tree development: ?construction: bottomup, topdown ?modification: improve a somehowconstructed tree ?algorithms: ?heuristic selections: make choices based on heuristics ?branch and bound: search bounded by the current best tree ?hill climbing: find nearby plans with lowest cost ?dynamic programming: construction by greedy selections 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition What You Should Know ? Query optimization is critical for any mercial DBMS ? good/bad can be orders of magnitude ? The 3 ponents of the SystemR style optimization ? Plan space definition ? Cost estimation ? Search algorithm ? huge number of alternative, semantically equivalent plans ? Ideal goal: ? map a declarative query to the most efficient plan ? Conventional wisdom: avoid bad plans ? State of the art: ? industry: most optimizers are SystemR style ? academic: always a core database research topic 169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 用于代價估算的統(tǒng)計信息 (回顧 )(10/14) ? nr : 關(guān)系 r 中的元組個數(shù) ? br : 包含 r 中元組的塊數(shù) ? sr : r 中元組的大小 ? fr : r 的塊因子 — 即 , 能放入一塊之中的 r 的元組數(shù) ? V(A, r): r 中出現(xiàn)的 A屬性上的不同值的個數(shù) 。 等于?A(r)的大小 ? SC(A, r): 關(guān)系 r 中屬性 A的 選擇基數(shù) , 滿足 A上等值條件的平均記錄數(shù) ? 若 r 中元組在文件中 連續(xù)存放 , 則 : ????????? rfrnrb169。Silberschatz, Korth and Sudarshan Database System Concepts 3rd Edition 關(guān)于索引的目錄信息 (回顧 ) ? fi : 索引 i 的內(nèi)節(jié)點的平均扇出 ,
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