• You can create the SQL management repository along with your transaction database used in production.

    您可以使用生产中的事务数据库创建SQL管理存储库。

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  • In this paper, we mainly discuss a new method-to find a maximum frequent set based on the mining of relative set transaction database.

    基于相关集合事务数据库这一挖掘思想,提出一个新的方法——寻找最大频繁集。

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  • Association rule and sequential pattern techniques are the methods that study and find the relationship in the items of transaction database.

    关联规则和序列模式是研究和发现事务数据库中数据项之间的相关性的方法。

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  • The MFP algorithm can convert a transaction database into a MFP tree through scanning the database only once, and then do the mining of the tree.

    MFP算法能在一次扫描事务数据库过程中,把该数据库转换成MFP树,然后对MFP树进行关联规则挖掘。

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  • This paper is focused on the methods of the construction of spatial transaction database, which is a crucial ste Pin the spatial association rules mining.

    将空间数据库转换成空间事务数据库是空间关联规则挖掘过程的关键步骤。

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  • The algorithm only need scan the transaction database once, and all the transaction operations are carried out on the inverted file mapped from transaction database.

    算法只需对事务数据库做一次扫描,并且所有对事务的处理操作都在事务数据库映射成的倒排文件中进行。

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  • Its main research object is the transaction database, its essential target is to discover whether there is certain connection relation between items in transaction database.

    关联规则的主要研究对象是交易数据库,其主要目标就是发现交易数据库中交易项目之间是否存在某些关联关系。

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  • Transaction locks (database locks) are those that occur within a single transactional unit of work.

    事务锁(数据库锁)是单个事务工作单元内出现的锁。

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  • In this case, the database handles the transaction logic.

    在本例中,数据库处理事务逻辑。

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  • The function will then connect to the database and execute this transaction.

    该函数随后将连接到数据库中并执行此事务。

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  • Each database call needs a new session and transaction.

    每次数据库调用需要一个新会话和事务。

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  • This transaction involves database and JMS operations.

    该事务包括数据库和JMS操作。

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  • Below you have the example how to rollback the transaction branch for a database.

    下面的例子展示了如何为数据库回滚事务分支。

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  • If the flush fails for any database, the entire transaction is rolled back.

    如果清仓对于所有数据库均失败,那么整个事务就会被回滚。

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  • All the archived transaction log files are also stored in the database transaction log directory.

    所有归档的事务日志文件也存储在数据库事务日志目录中。

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  • From an application perspective, a database short transaction is equivalent to no transaction at all.

    从应用程序的角度而言,数据库短事务等效于根本没有事务。

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  • If the transaction log directory is different from the database directory, make sure that the transaction log directory is also copied.

    如果事务日志目录与数据库目录有不同之处,那么应确保同时复制了事务日志目录。

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  • Note: The database manager writes to transaction logs one at a time.

    注:数据库管理器每次写一个事务日志。

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  • The agent collects information on the application response time, throughput, transaction time, database calls, background jobs, and other metrics.

    代理会收集应用程序的响应时间、吞吐量、事务时间、数据库调用、后台任务以及其他指标的信息。

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  • In the early days of database persistence (for example, JDBC), we commonly delegated transaction processing to the database.

    在数据库持久性的早期(例如jdbc),我们一般会将事务处理委派给数据库。

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  • If so, the EJB container delays database operations until transaction commit time.

    如果启用,则ejb容器会将数据库操作延迟到事务提交时处理。

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  • If a business process fails, the global transaction is rolled back, including any database interaction the adapter has exercised during the transaction.

    如果某个业务流程失败,则会回滚该全局事务,包括适配器已在该事务期间执行的任何数据库交互。

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  • Updates to the cache occur after the database transaction has completed.

    对缓存的更新发生在数据库事务完成后。

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  • Updates to the cache and the database are wrapped in the same JTA transaction so that the cache and database are always synchronized.

    对缓存和数据库的更新被包装在同一个JTA事务中,这样缓存与数据库总是保持同步的。

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  • In particular, it would be unreasonable to assume that we could afford a database transaction per POID request.

    特别是,想要为每个POID请求都提供一个数据库事务是不合理的。

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  • That’s because HDD I/O is usually the most time-consuming part of any database transaction.

    这是因为HDDI/O通常是所有数据库事务中最耗时的部分。

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  • Savepoints are named markers within a database transaction.

    保存点指的是数据库事务中指定的标记。

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  • Each captured database transaction is published in an MQ message.

    所捕捉到的每个数据库事务都将在一个MQ消息中发布。

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  • Updates database in a JTA transaction; updates cache in the same transaction.

    在一个JTA事务中更新数据库;在同一个事务中更新缓存。

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  • DB2 ensures transaction consistency using locks on database objects.

    DB 2使用数据库对象上的锁来确保事务的一致性。

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