卸除的分区成为一个常规表。
每个数据库中必须至少有一个常规表空间。
At least one regular table space must exist for each database.
这些可能会导致必须使用多个常规表空间。
These might result in having to use more than one regular table space.
表只作为常规表重新创建。
常规表空间：常规表空间保存表数据和索引。
Regular table Spaces: Regular table Spaces hold table data and indexes.
支持临时表、常规表以及范围和列表类型的分区表。
Supports temporary, regular and partitioned tables of different types of range and list.
数字表名一般特指失败的数据设计模型或者非常规表。
This usually points to a poorly designed data model or irregularly partitioned tables.
如果没有定义长表空间，那么将把lob存储在常规表空间中。
If no long table space is defined, then LOBs are stored in regular table Spaces.
支持用户表、临时表、常规表以及范围、哈希和多维簇类型的分区表。
Supports user, temporary, regular and partitioned tables of different types range, hash and multidimensional clusters.
创建常规表空间TS页面，大小16K，由系统管理(fnis缓冲池BP)。
Create regular tablespace TS page, size 16k, managed by system using (FNIS buffer pool BP).
要想调整此方法以支持全局重置，只需修改表创建语句，让它们创建常规表而不是CGTT。
To adapt the method to support global reset, simply change the table creation statements to create regular tables rather than CGTTs.
CGTT的定义像常规表一样存储在编目中，当一个连接第一次使用CGTT时对它进行实例化。
The definition of a CGTT is stored in the catalogs like a regular table, and the CGTT is instantiated on the first use by a connection.
可以使用这个特性查询一个常规表并返回经过格式化的XML(在这里，使用人口普查数据和模式)。
It allows for a query that returns formatted XML, based on a regular table (in our case, with our Census data and schema).
表空间包括常规表空间、长表空间(用于lob数据)、用户临时表空间和系统临时表空间。
Table Spaces can be regular, long (for LOB data), user temporary, and system temporary.
为实现一定百分比的预留空间，和常规表一样使用相同的语法，即在创建表时使用PCTFREE选项。
To implement a percentage of space to be reserved, you use the same syntax as with regular tables, namely, by using the PCTFREE option when the table is created.
这个例子数据库有5个表空间：一个目录表空间、两个常规表空间、一个长表空间和一个系统临时表空间。
The example database has five table Spaces: one catalog, two regular, one large, and one system temporary table space.
对于常规表空间，PIECESIZE的默认值是2GB，对于large表空间，默认值是4 GB。
The default value is 2 GB for regular table Spaces and 4 GB for LARGE table Spaces.
图8显示了一个具有五个表空间的数据库：一个目录表空间、两个常规表空间、一个长表空间和一个系统临时表空间。
Figure 8 shows the database, which has five table Spaces: a catalog, two regular, a long, and a system temporary table space.
由于这是常规的HTML，因此可以在代码中添加样式表。
Since it's regular HTML, you can add a style sheet to the code.
把对象转换为xml格式之后，可以通过执行常规的SQL更新语句更新employee表中的记录。
After you have the object in XML format, you can issue a regular SQL update statement to update the record in the table EMPLOYEE.
对于数据库管理的表空间，建议拆开lob数据中的常规数据，将LOB数据放在一个很大的表空间中。
It is recommended for database managed tablespaces to split regular data from LOB data, placing LOB data in a large tablespace.
外部表可以使用IDS中的常规基表支持的所有数据类型的列创建。
External tables can be created with the columns of all the data types supported by the regular base table in IDS.
还可以通过使用WHERE条件、ORDER BY、GROUP BY 子句执行过滤操作，或者执行常规基表适用的其他操作。
You can also perform operations such as filtering, using WHERE conditions, ORDER BY, GROUP BY, and other operations that would be possible with a regular base table.
因为这组替代的成员样式可以与常规样式表组合在一起，我们在同一目录中复制screen . css，并将它重命名为screen_alt_members . css。
Since the alternate set of member styles can be grouped with our regular stylesheets, we copied the screen.css into the same directory and renamed it to screen_alt_members.css.
在常规门户样式表中更改样式。
对专门化主题类型应用常规样式表或转换。
Applying a general style sheet or transform to a specialized topic type.
DB 2V8.2.2enhancesRangeClustered Table (RCT)最先是在V8.1.4中引入的，带有一个percent - free选项，该选项可用于常规的db2表。
DB2 V8.2.2 enhances Range Clustered tables (RCTs), first introduced in V8.1.4, with a percent-free option that you can use with regular DB2 tables.
因为用户只通过提供新字典将常规XSLT样式表应用于新情况， 所以这会减少用于显示的国际化信息的费用和复杂程度。
This reduces the expense and complexity of internationalizing information for display because users simply apply the generic XSLT style sheet to a new situation by providing a new dictionary.
清单1显示了实现这一规则的常规xslt样式表。
Listing 1 shows a generic XSLT style sheet that implements this rule.
从外部表选择可从一个或多个数据文件读取数据，并以行和列的形式提供该数据，就好像从常规基表读取数据一样。
Selecting from an external table reads the data from the data file(s) and provides it in the form of rows and columns as if it was read from the normal base table.
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