partitioning data造句
例句與造句
- For more information about partitioning data , see
有關(guān)分區(qū)數(shù)據(jù)的詳細(xì)信息，請(qǐng)參閱 - You can partition data horizontally based on age
您可以基于年代水平地對(duì)數(shù)據(jù)進(jìn)行分區(qū)。 - An alternate name for a member of a partitioned data set
一分區(qū)數(shù)據(jù)集中某成員的替換名。 - To combine partitioned data across servers
跨服務(wù)器組合分區(qū)數(shù)據(jù) - A portion of a partitioned data set
分區(qū)數(shù)據(jù)集的一部分。 - It's difficult to find partitioning data in a sentence. 用partitioning data造句挺難的
- E . using partitioned data
E .使用分區(qū)數(shù)據(jù) - Partitioned data set pds
分割數(shù)據(jù)集 - Pds partitioned data set
分區(qū)數(shù)據(jù)組 - Partitioned data set
分割數(shù)據(jù)集 - The preferred method for partitioning data local to one server is through partitioned tables
對(duì)數(shù)據(jù)進(jìn)行本地分區(qū)的首選方法是通過分區(qū)表。 - A term used to identi - fy a named portion of a partitioned data set ( pds ) . sometimes member is also used as a synonym for a data set
一種術(shù)語,用來標(biāo)識(shí)分區(qū)數(shù)據(jù)集中某個(gè)命名部分,有時(shí)也用作為數(shù)據(jù)集的同義詞。 - Views can also be used when you copy data to and from microsoft sql server 2005 to improve performance and to partition data
還可以在向microsoft sql server 2005復(fù)制數(shù)據(jù)和從其中復(fù)制數(shù)據(jù)時(shí)使用視圖，以便提高性能并對(duì)數(shù)據(jù)進(jìn)行分區(qū)。 - Hash bailout occurs when a hashing operation reaches its maximum recursion level and shifts to an alternate plan to process the remaining partitioned data
當(dāng)哈希操作達(dá)到其最大遞歸級(jí)數(shù)并轉(zhuǎn)換到替換計(jì)劃以處理剩余的分區(qū)數(shù)據(jù)時(shí)發(fā)生哈希釋放。 - When you partition data across multiple servers , queries accessing only a fraction of the data can run faster because there is less data to scan
跨多個(gè)服務(wù)器對(duì)數(shù)據(jù)進(jìn)行分區(qū)時(shí)，只訪問一部分?jǐn)?shù)據(jù)的查詢可以較快地運(yùn)行，因?yàn)橹恍钂呙栎^少的數(shù)據(jù)。 - How can you partition data so some information remains private for instance , " person x distrusts person y " , while other information is published to the world
怎樣才能分割數(shù)據(jù)以便對(duì)某些信息保密（例如， “某人x不信任某人y ” ）而將其它信息公之于眾？
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