两个表中的关键列不能被压缩。
另外确认HOLDINGTYPE显示为关键列。
示例3展示如何收集关键列(key column)上的统计信息。
短语“关键列(key column)”表示构成表上所定义索引的列。
The phrase "key columns" means the columns that make up the indexes defined on the table.
T077D表除了保持每个账户组的配置数据的关键列以外还有许多的列。
The T077D table has many columns besides the key columns holding the configuration data for each account group.
接下来，在编辑器中选择新添加的外键约束，并使用Properties视图指定关键列。
Next, select the newly added foreign key constraint in the editor and specify the key columns using the Properties view.
在本部分的右下侧，通过选择空列上的no可将所有输出链接的关键列都设置为非空。
In the lower right part of the section, set all key columns of the output link to non-nullable by selecting no in the nullable column.
内连接实际上是两个表的交集，它通过比较关键列(比如itemnumber)的值来匹配表。
An inner join is essentially the intersection of two tables, where the tables are matched by comparing the values of a key column, such as itemNumber.
但是，如果使用具有相同分组关键字的多个聚合，或者对相同列进行计数的计数函数，其不会显著增加规则的执行时间。
But if you use multiple aggregations with the same grouping keys, or multiple counting functions that count the same column, it will not significantly increase the execution time of the rule.
您将找到的大部分结果都是哈希索引站点——有意地连接散列值和其相应关键字的站点。
Most of the results you'll find are hash indexing sites — sites intentionally built to connect hash values and their corresponding keys.
需要理解的最关键部分是上表中的依赖项列。
The most critical piece to understand is the dependencies column of the table.
本文谈到了很多基础知识，提到了SQL/XML的几个关键方面，并展示了如何使用 SQL/XML查询 XML 列中的数据。
This article covered a lot of ground, highlighting several key aspects of SQL/XML and how you can use it to query data in XML columns.
当对象的状态更改时如果对象的散列值发生变化，确信当状态作为散列关键字使用时您不允许更更改其状态。
If an object's hash value can change when its state changes, be sure you don't allow its state to change while it is being used as a hash key.
集群列的选择需要基于预期的查询工作负载以便集群能够支持最常见和最关键的查询。
The choice of clustering columns needs to be based on the expected query workload so the clustering supports the most common and most critical queries.
所有基于散列的集合假设，当对象的散列值用于作为集合中的关键字时它不会改变。
All hash-based collections assume that an object's hash value does not change while it is in use as a key in the collection.
优化器将根据行中列的函数依赖性来推断关键值选择。
The optimizer will deduce key value selection based on the functional dependency of the column within the row.
loadmetaphones子例程是创建变音位关键字和值的两个散列的简单代码。
The loadMetaPhones subroutine is straightforward code that creates two hashes of metaphone keys and values.
如果我们从未在HashMap或其它基于散列的集合中使用Integer作为关键字的话，什么也不会发生。
Nothing, if we never used an Integer as a key in a HashMap or other hash-based collection.
在该表单中，我们可以告诉Domino哪个字段是关键字段，以及如何将该字段映射到DB 2键列。
In this form, we can tell Domino which field is the key field and how this field maps to the DB2 key column.
产生的完美hash()函数返回一个无符号的int值，范围为 0..(k-1)，其中k 值为最大关键字散列值加 1。
The resulting perfect hash() function returns an unsigned int value in the range 0..(k-1), where k is the maximum keyword hash value +1.
事实上，可以在GUN编译器中使用它维护语言关键字的完美散列，其最新的功能使您能够操作更大的数据库。
In fact, it's the tool of choice of maintaining perfect hashes for language keywords in GNU compilers, and recent advances allow you to work with larger datasets.
这个表包含一个列族journal_articles，用于存储其中出现该关键字的文章的DOI。
This table includes a column family journal_articles used to store the DOIs of the articles in which the keyword occurs.
第二列计算关键字值。
SimpleDB的关键在于：忘记了todo_simple中的列(表2)。
Here's the key to SimpleDB: forget about the columns in todo_simple (Table 2).
在(图21的)Box1中，您需要选择Company .nsf应用程序中的关键字段，并将之映射到DB 2中的键列。
In the Box 1 (of Figure 21), you will need to select the key field in Company.nsf application and map it to the key column in DB2.
AtomicDomain窗口为每个数据列描述关键数据隐私信息。
The Atomic Domain window describes the key data privacy information for each of the data columns.
是不是你在某一列中遗漏了一些微小却关键的因素？
Did you omit some small but vital factor from one of your Columns?
其中一列包含所生成的，唯一标识每个记录的关键字。
One of its columns contains a generated key that uniquely identifies each record.
如果利用相同的分组关键字或者没有分组关键字，来聚合多个列，那么，所有的聚合都在单个数据传递中的相同操作中进行。
If more than one column is aggregated using the same grouping key or without a grouping key, then all the aggregations are computed within the same operation with a single pass over the data.
如果利用相同的分组关键字或者没有分组关键字，来聚合多个列，那么，所有的聚合都在单个数据传递中的相同操作中进行。
If more than one column is aggregated using the same grouping key or without a grouping key, then all the aggregations are computed within the same operation with a single pass over the data.
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