HAYASHI Kentaro
null+****@clear*****
Fri Dec 14 15:34:43 JST 2012
HAYASHI Kentaro 2012-12-14 15:34:43 +0900 (Fri, 14 Dec 2012) New Revision: 63dcfa64228be34774786cd72474c9bb78e1af0f https://github.com/groonga/groonga.github.com/commit/63dcfa64228be34774786cd72474c9bb78e1af0f Log: doc: update to more impressive and meaningful examples about range search Modified files: en/_posts/2012-11-29-release.textile ja/_posts/2012-11-29-release.textile Modified: en/_posts/2012-11-29-release.textile (+51 -31) =================================================================== --- en/_posts/2012-11-29-release.textile 2012-12-14 14:58:02 +0900 (b0326fe) +++ en/_posts/2012-11-29-release.textile 2012-12-14 15:34:43 +0900 (972d3e5) @@ -180,54 +180,74 @@ Sample data (ranking data about 10,000,000 shops): <pre> load --table Shops [ - ... - {"_key": "Shop98", "ranking": 98}, - {"_key": "Shop99", "ranking": 99}, - {"_key": "Carlos's shop", "ranking": 100}, - {"_key": "Alice's shop", "ranking": 101}, - {"_key": "Bob's shop", "ranking": 102}, - {"_key": "Shop103", "ranking": 103}, - {"_key": "Shop104", "ranking": 104}, - {"_key": "Shop105", "ranking": 105}, + {"_key": "Shop1", "ranking": 1}, + {"_key": "Shop2", "ranking": 2}, + {"_key": "Shop3", "ranking": 3}, + {"_key": "Shop4", "ranking": 4}, + {"_key": "Shop5", "ranking": 5}, + {"_key": "Shop6", "ranking": 6}, + {"_key": "Shop7", "ranking": 7}, + {"_key": "Shop8", "ranking": 8}, + {"_key": "Shop9", "ranking": 9}, + {"_key": "Shop10", "ranking": 10}, + {"_key": "Shop11", "ranking": 11}, ... ] </pre> Now, registered shop name as a key, the value of ranking. -Here is the sample query to search three shops which is higher value of ranking than Alice's shop. +Here is the sample query to search top 10 shops of ranking. -In range search, you can specify 'higher' expression as @'ranking >= 98 && ranking < 101'@ in this case. +In range search, you can specify 'Top 10' expression as @'ranking <= 10@ in this case. Here is concrete example. <pre> - select Shops --filter 'ranking >= 98 && ranking < 101' + select Shops --filter 'ranking <= 10' [ - [0,1355461536.3541,3.55056285858154], + [0,1355465886.15137,1.39784264564514], [ [ - [3], - [["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"]], - [98,"Shop98",98], - [99,"Shop99",99], - [100,"Carlos's shop",100] + [10], + [ + ["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"] + ], + [1,"Shop1",1], + [2,"Shop2",2], + [3,"Shop3",3], + [4,"Shop4",4], + [5,"Shop5",5], + [6,"Shop6",6], + [7,"Shop7",7], + [8,"Shop8",8], + [9,"Shop9",9], + [10,"Shop10",10] ] ] ] </pre> <pre> - select Shops --filter 'ranking >= 98 && ranking < 101' + select Shops --filter 'ranking <= 10' [ - [0,1355461395.8912,2.43025946617126], + [0,1355465837.0779,0.00165677070617676], [ [ - [3], - [["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"]], - [98,"Shop98",98], - [99,"Shop99",99], - [100,"Carlos's shop",100] + [10], + [ + ["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"] + ], + [1,"Shop1",1], + [2,"Shop2",2], + [3,"Shop3",3], + [4,"Shop4",4], + [5,"Shop5",5], + [6,"Shop6",6], + [7,"Shop7",7], + [8,"Shop8",8], + [9,"Shop9",9], + [10,"Shop10",10] ] ] ] @@ -236,23 +256,23 @@ Here is concrete example. The search result is same, but the execution time is different. <pre> - [0,1355461536.3541,3.55056285858154], + [0,1355465886.15137,1.39784264564514], </pre> -In groonga 2.0.8, it takes 3.55056285858154 seconds. +In groonga 2.0.8, it takes 1.39784264564514 seconds. <pre> - [0,1355461395.8912,2.43025946617126], + [0,1355465837.0779,0.00165677070617676], </pre> -In groonga 2.0.9, it takes 2.43025946617126 seconds. +In groonga 2.0.9, it takes 0.00165677070617676 seconds. See "Output Format":http://groonga.org/docs/reference/command/output_format.html about the output of groonga command details. |Version of groonga|groonga 2.0.8|groonga 2.0.9| -|Execution time(seconds)|3.55056285858154|2.43025946617126| +|Execution time(seconds)|1.39784264564514|0.00165677070617676| -By upgrading 2.0.8 to 2.0.9, you can see the execution time is clipped to about 70%. +By upgrading 2.0.8 to 2.0.9, you can see the execution time is clipped to about a few milliseconds. Here is the measurement environment: Modified: ja/_posts/2012-11-29-release.textile (+51 -31) =================================================================== --- ja/_posts/2012-11-29-release.textile 2012-12-14 14:58:02 +0900 (6a4f54f) +++ ja/_posts/2012-11-29-release.textile 2012-12-14 15:34:43 +0900 (e1aebf9) @@ -176,36 +176,47 @@ h3. インデックスを利用した高速な指定範囲検索のサポート <pre> load --table Shops [ - ... - {"_key": "Shop98", "ranking": 98}, - {"_key": "Shop99", "ranking": 99}, - {"_key": "Carlos's shop", "ranking": 100}, - {"_key": "Alice's shop", "ranking": 101}, - {"_key": "Bob's shop", "ranking": 102}, - {"_key": "Shop103", "ranking": 103}, - {"_key": "Shop104", "ranking": 104}, - {"_key": "Shop105", "ranking": 105}, + {"_key": "Shop1", "ranking": 1}, + {"_key": "Shop2", "ranking": 2}, + {"_key": "Shop3", "ranking": 3}, + {"_key": "Shop4", "ranking": 4}, + {"_key": "Shop5", "ranking": 5}, + {"_key": "Shop6", "ranking": 6}, + {"_key": "Shop7", "ranking": 7}, + {"_key": "Shop8", "ranking": 8}, + {"_key": "Shop9", "ranking": 9}, + {"_key": "Shop10", "ranking": 10}, + {"_key": "Shop11", "ranking": 11}, ... ] </pre> -お店とランキングの値が登録できたので、実際に検索してみます。ここでは、Aliceのお店よりランキングが上のお店3件を検索してみます。 +お店とランキングの値が登録できたので、実際に検索してみます。ここでは、ランキング上位10店を検索してみます。 -範囲の指定にはrankingカラムに対して @'ranking >= 98 && ranking < 101'@ として表現します。 +範囲の指定にはrankingカラムに対して @'ranking <= 10@ として表現します。 実際の検索結果は以下のようになります。(groonga 2.0.8の場合) <pre> - select Shops --filter 'ranking >= 98 && ranking < 101' + select Shops --filter 'ranking <= 10' [ - [0,1355461536.3541,3.55056285858154], + [0,1355465886.15137,1.39784264564514], [ [ - [3], - [["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"]], - [98,"Shop98",98], - [99,"Shop99",99], - [100,"Carlos's shop",100] + [10], + [ + ["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"] + ], + [1,"Shop1",1], + [2,"Shop2",2], + [3,"Shop3",3], + [4,"Shop4",4], + [5,"Shop5",5], + [6,"Shop6",6], + [7,"Shop7",7], + [8,"Shop8",8], + [9,"Shop9",9], + [10,"Shop10",10] ] ] ] @@ -216,16 +227,25 @@ h3. インデックスを利用した高速な指定範囲検索のサポート 同じようにしてgroonga 2.0.9でも検索してみます。検索結果は以下のようになります。 <pre> - select Shops --filter 'ranking >= 98 && ranking < 101' + select Shops --filter 'ranking <= 10' [ - [0,1355461395.8912,2.43025946617126], + [0,1355465837.0779,0.00165677070617676], [ [ - [3], - [["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"]], - [98,"Shop98",98], - [99,"Shop99",99], - [100,"Carlos's shop",100] + [10], + [ + ["_id","UInt32"],["_key","ShortText"],["ranking","UInt32"] + ], + [1,"Shop1",1], + [2,"Shop2",2], + [3,"Shop3",3], + [4,"Shop4",4], + [5,"Shop5",5], + [6,"Shop6",6], + [7,"Shop7",7], + [8,"Shop8",8], + [9,"Shop9",9], + [10,"Shop10",10] ] ] ] @@ -234,23 +254,23 @@ h3. インデックスを利用した高速な指定範囲検索のサポート 検索結果は当然同じですが、実行時間が違います。実行時間は以下の部分が該当します。 <pre> - [0,1355461536.3541,3.55056285858154], + [0,1355465886.15137,1.39784264564514], </pre> -groonga 2.0.8の場合は3.55056285858154秒でした。 +groonga 2.0.8の場合は1.39784264564514秒でした。 <pre> - [0,1355461395.8912,2.43025946617126], + [0,1355465837.0779,0.00165677070617676], </pre> -一方、groonga 2.0.9の場合は2.43025946617126秒でした。 +一方、groonga 2.0.9の場合は0.00165677070617676秒でした。 groongaが出力する結果のフォーマット詳細については "出力形式":http://groonga.org/ja/docs/reference/command/output_format.html を参照してください。 |groongaのバージョン|groonga 2.0.8|groonga 2.0.9| -|実行時間(秒)|3.55056285858154|2.43025946617126| +|実行時間(秒)|1.39784264564514|0.00165677070617676| -2.0.9にするだけで実行時間が7割程度に短縮できていることがわかります。 +2.0.9にするだけでこのサンプルのケースでは実行時間が数ミリ秒にまで短縮できていることがわかります。 測定は以下の環境で実施しました。 -------------- next part -------------- HTML����������������������������...下载
