Represents a configuration element that defines a filter table entry element.
表示定义筛选器表项元素的配置元素。
Click the RouteReply node and configure the Filter table property as shown in figure 6.
单击routereply节点并配置Filter table属性，如图6所示。
For example, you can set whether to show or hide column headings, date, filter table, and so on.
例如，你可以选择是否显示列表表格的标题栏、创建日期、过滤器等等。
The filter table is used for general packet filtering and consists of INPUT, OUTPUT, and FORWARD chains.
filter表用于一般的信息包过滤，它包含INPUT、OUTPUT和forward链。
The default priority is the priority automatically assigned a filter added to the filter table if no priority is explicitly specified.
默认优先级为未显式指定优先级时，当筛选器添加到筛选器表时自动分配的优先级。
YQL includes an HTML utility table, which you can use as a filter to scrape specific pieces of data from an HTML page.
YQL包含一个html实用工具表，您可以将它作为一个过滤器来从一个html页面挖出特定的数据。
You can highlight any table and then click the plus sign to create a filter condition.
您可以选择任何一个数据表，并且点击“加号”来创建一个过滤条件。
Each join reduces the size of the fact table by one-tenth due to selectivity of the table filter on each dimension table.
由于每个维度表过滤的选择度，每次连接都会减少事实表大小的十分之一。
You can effectively reduce the number of records that are read from the source, and reduce the overall execution time of a rule, by defining a virtual table with a filter condition.
您可通过定义具有过滤条件的虚拟表，来有效地减少从源所读取记录的数量，并减小规则的总执行时间。
The estimate for QUALIFIED_ROWS is obtained by multiplying the table cardinality (560,273 records) by the predicate filter factor (0.0014%).
用表基数（560,273条记录）与谓词过滤因子 (0.0014%) 相乘就获得了 QUALIFIED_ROWS的估计值。
Therefore, if a query filter field is one of these types, and the associated table is large, the query can be very slow.
因此，如果查询筛选字段是这种类型中的一个，而相关的表格很大，那么查询的速度会非常慢。
This is due to the semantics of SQL: without a WHERE clause, SQL queries do not filter out any rows from the table in the returned result set.
这是由于SQL的语义导致的：没有了where子句，SQL查询就不会在返回的结果集中过滤掉表中的任何行。
The selectivity is a value between 0 and 1 that indicates the percentage of rows within the table that the filter can pass.
选择率是介于 0 到1 之间的一个值，表示表中能通过过滤器的行所占的百分比。
At this stage you have a filter set up that will only show records whose PROPTYPE is equal to SOLD in the data table.
在该操作阶段，您需要安装一个过滤器，它将仅显示数据表格中PROPTYPE等于SOLD的记录。
The filter factor is a number between 0 and 1 that estimates the proportion of rows in a table for which the predicate is true.
过滤因子是0到1之间的一个数值，它用来评估表中谓词为真的行所占的比例。
This dynamic filter on the fact table reduces the number of rows used in the probe phase of the actual hash joins.
事实表上的动态过滤减少了实际散列连接探测阶段使用的行数。
The simplest and most common use of the WHERE clause is to filter the rows from a table before selecting any columns, as demonstrated in Listing 4.
WHERE 子句最简单最常见的用法是在选择任意列之前过滤表中的行，如 清单 4 所示。
The performance improvement depends on the selectivity of the filter on the dimension table from which the join keys are pushed down.
性能的提高取决于连接键被下推时所在维度表的过滤选择度。
When hash tables are built, join keys are pushed down and used to filter the rows of the fact table, and performance improves dramatically.
构建散列表时，连接键被下推用于过滤事实表的行，性能也显著提高。
Figure 35 indicates how to enact a consistency and corruption check on data and extents, narrowing down the filter to the 'table' level.
图35说明如何对数据和区段执行一致性和损坏检查，并把检查范围收缩到表级。
You have the flexibility to check the data format on database level as well as to narrow down the filter on the table level also.
它提供很大的灵活性，可以在数据库级检查数据格式，也可以在表级进行检查。
According to the annotation information in the figure, the table reference CUST_CUSTOMER (CCUS) has two local predicates which are very selective, with filter factor 0.00727 and 0.004, respectively.
根据图中的注释信息，优先表CUST_CUSTOMER (CCUS)有两个本地谓词，其选择性很强，各自的过滤因子分别是0.00727和0.004。
This means that a sequential scan of the table will be faster than an indexed read, and we cannot play with the filter criteria.
这意味着对表的顺序扫描比索引读取更快，我们无法遵循指示器标准。
To filter by location with Solr, the three primary mechanisms in Table 1 are available to application writers for restricting the document space.
为了使用Solr根据位置进行过滤，表1为应用程序的记录器提供了3种主要的机制来限制文档空间。
The wrapper function takes as input the same values passed as input to the underlying monitoring table function, so it has the same capability to filter the data that is returned.
这个包装器函数的输入值与底层监控表函数相同，所以它也能够筛选返回的数据。
Better flexibility with option to filter only a subset of a table columns or specific rows and sync group configuration.
更好的灵活性，我们可以只过滤出表的列或者特定行的子集以及同步组(sync group)配置。
Genfilt: Adds a filter rule to the table.
genfilt：向表中添加一条过滤规则。
This table is manipulated to filter announcement items based on the type element of the announcement component.
将对该表格执行操作，以根据声明组件的type元素过滤声明项。
Mkfilt: This is a key command that allows us to activate or deactivate the filter rules in the table, enable or disable logging for filters, and change the default rules.
mkfilt：这是一个重要的命令，它可以激活或停用表中的过滤规则，启用或禁用过滤日志，并改变默认规则。
Conceptually, the merge function joins source table rows with target table rows by applying the on clause filter. All the joined rows are updated or deleted on the target.
从概念上说，merge函数通过应用on子句过滤，将源表行与目标表行进行联接，所有联接的行都在目标中进行更新或者删除。
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