1、Pylesystem: a realtime filesystem metadata indexer similar to Spotlight or beagle.
Pylesystem：類似于Spotlight或Beagle的實時文件系統(tǒng)元數(shù)據(jù)索引程序。

2、This is because the indexer is only interested in a specific set of nodes.
這是因為索引器只對特定的節(jié)點集感興趣。

3、Unlike the Parser in Part 3, the indexer doesn't begin immediately or automatically.
不同于第 3部分中的Parser，索引器不會立即啟動或自動啟動。

4、On the 'Parse and index' TAB on the next page, launch the indexer process.
在下一頁面的“Parse andindex”選項卡中，啟動indexer流程。

5、Let's take a look at rebuilding views, which is the Indexer task itself.
現(xiàn)在我們看看重構視圖，這就是Indexer任務本身。

6、A sealed indexer is represented by selecting the Leaf property of the corresponding UML operation.
通過選擇相應的UML操作的leaf屬性來表示sealed索引器。

7、Assuming that MySQL is running, run indexer to create the indices by using the code shown below.
假定MySQL正在運行，使用如下所示的代碼運行索引器來創(chuàng)建索引。

8、Indexer USES a database of word occurrences.
indexer使用出現(xiàn)的詞語的數(shù)據(jù)庫。

9、A UML operation representing an indexer should always be named as this.
表示索引器的UML操作應該總是被命名為this。

10、Our new indexer could also index roughly 50 times more Tweets per second than we currently get!
新的索引器能支持每秒比當前信息多50倍的數(shù)據(jù)量！

11、Step 1: Starting the indexer job
步驟1：啟動索引器任務

12、Convert Method to Indexer Inline Method Push Members down.
轉換方法為索引(默認屬性)。

13、Convert Indexer to Method Extract Method Move Type to Outer scope.
轉換索引(默認屬性)為方法。

14、This indexer will have two parameters of type int, and it will return a Point type.
該索引器將有兩個int類型的參數(shù)，并且它將返回Point類型。

15、I hope the indexer module will prove useful to readers, even in this early version.
我希望indexer模塊，即使是早期的版本也能證明給讀者是有用的。

16、The indexer implements IPDOMIndexer, but its class depends on the user's CDT preferences.
該索引器實現(xiàn) IPDOMIndexer，但其類依賴于用戶的CDT 首選項。

17、Indexer modifiers like new, virtual, extern etc. are available as stereotype properties.
索引器修飾符，像new、virtual、extern等等用作原型屬性。

indexer翻譯