If another transaction retrieves the data and sees that the flag is set by some other user, then it will, by convention, give a warning message to the user that the data is in use.
如果另外的事务检索数据并发现标记已被其他用户设置，那么它将按约定向用户发出数据正在被使用的警告消息。
For example, a J2EE transaction could be set to retrieve a message from a JMS provider, extract data from that message, and then attempt to update the database.
例如，可以建立一个J2EE事务来从一个JMS提供者那里获取一条消息，从该消息中提取数据，并尝试更新数据库。
Executing a transaction such as a transfer of funds between banking accounts can also generate new records in a data set.
执行交易(例如在银行帐户之间转帐)也可能在数据集中生成新的记录。
For example, imagine you have a test that puts a server through its paces with a standard data set and transaction sequence.
例如，想想您已经拥有一个服务器上测试，并且这个测试将带有标准数据包和事务序列。
We looked at classical transaction processing and how it enables data integrity across a number of actions by forcing an all-or-none semantic to the set of actions.
我们着眼于传统的事务处理和通过在动作集合上强制实行all-or-none语义来在许多动作间保持数据完整性的方法。
Result: The query now shows data from the front end since the the Read passthrough mode was set to FORCE for a single transaction only.
结果：现在，查询显示前端数据，因为仅为一个事务将Read passthrough模式设置为FORCE。
A phantom read occurs when a transaction re-executes a query and finds a set of results changed since the last query due to another transaction that committed new data.
当事务再次执行查询，并发现一组结果自最后一次查询后由于另一个事务提交了新的数据而发生了更改，则会发生幻像读。
Based on the business needs above, you can set up your LDAP server to manage the following transaction authorization data.
根据上述业务需要，可以设置LDAP服务器，使之管理以下业务授权数据。
This design means that there is one transaction per phone call, and each operator should always have the right set of data available when he or she answers a call.
该设计意味着，每次电话之后只有一次传输，当每个操作员接听电话时，总能有可用的正确的数据集合。
Most financial institutions, especially those with a global presence, have all set up large-scale regional processing centres to centrally handle transaction data around the world.
大多数金融机构，特别是那些在全球开展业务的机构，都已经建立了大型的地区性处理中心，以集中处理全球交易数据。
This paper will be of relevance for the supermarket transaction data, WEKA use software algorithms to find frequent Apriori of the set, then find the association rules.
本文将关联分析用于超市交易数据，使用WEKA软件举行Apriori算法探寻频仍项集，进而找到关联规则。
Its characteristic is that the candidate set is adopted by the key word identifies, and at the same time transaction data is compressed by transaction and item.
该算法的特点是：项目集采用关键字识别，同时对事务数据进行事务和项目压缩。
Its characteristic is that the candidate set is adopted by the key word identifies, and at the same time transaction data is compressed by transaction and item.
该算法的特点是：项目集采用关键字识别，同时对事务数据进行事务和项目压缩。
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