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row-overflow data造句

"row-overflow data"是什么意思  
造句与例句手机版
  • Cumulative count of row - overflow data bytes retrieved
    检索到的行溢出数据字节数的累积计数。
  • Index , in - row , lob , and row - overflow data pages are correctly linked
    是否已正确链接索引、行内、 lob以及行溢出数据页。
  • 3 row - overflow data
    3 =行溢出数据
  • Cumulative count of column values for lob data and row - overflow data that is pulled in - row
    已请求到行内的lob数据和行溢出数据的列值的累积计数。
  • To obtain information about tables or indexes that might contain row - overflow data , use the
    若要获得有关可能包含行溢出数据的表或索引的信息,请使用
  • Cumulative count of row - overflow data pages retrieved from the row overflow data allocation unit
    从row _ overflow _ data分配单元检索到的行溢出数据页数的累积计数。
  • You can include columns that contain row - overflow data as key or nonkey columns of a nonclustered index
    可以包括包含行溢出数据的列,作为非聚集索引的键列或非键列。
  • In - row data , lob data , and row - overflow data represent the three allocation units that make up a partition
    行内数据、 lob数据以及行溢出数据表示构成分区的三个分配单元。
  • If row - overflow data exists in the table , one row is returned for the row overflow data allocation unit in each partition
    如果表中存在行溢出数据,则针对每个分区中的row _ overflow _ data分配单元,返回与其对应的一行。
  • Cumulative count of column values for lob data and row - overflow data that is pushed off - row to make an inserted or updated row fit within a page
    已推出行外以使插入或更新的行可容纳在页中的lob数据和行溢出数据的列值累积计数。
  • It's difficult to see row-overflow data in a sentence. 用row-overflow data造句挺难的
  • Displays information about the space used to store and manage in - row data lob data , and row - overflow data for all partitions in a database
    Sys . dm _ db _ partition _ stats显示用于存储和管理数据库中全部分区的行内数据lob数据和行溢出数据的空间的有关信息。
  • If there are likely to be frequent queries on many rows of row - overflow data , consider normalizing the table so that some columns are moved to another table
    如果可能需要经常查询行溢出数据中的许多行,请考虑对表格进行规范化处理,以使某些列移动到另一个表中。
  • Also , querying and performing other select operations , such as sorts or joins on large records that contain row - overflow data slows processing time , because these records are processed synchronously instead of asynchronously
    此外,执行查询和其他选择操作(例如,对包含行溢出数据的大型记录进行排序或合并)将延长处理时间,因为这些记录将同步处理,而不是异步处理。
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Last modified time: Fri, 15 Aug 2025 00:29:56 GMT