1. If there is missing or dirtydata, how will you proceed?
如果有丢失的或脏数据，您将如何进行呢？
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2. The "dirtydata" for the example includes 40% suspect duplicates.
本例的“脏数据”包含40%的可疑副本。
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3. It is not equivalent to fsync — it's not a request to sync dirtydata.
它并不等于fsync函数——也不是请求同步脏数据。
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4. This is why there is less overhead for dirtydata as compared to clean data.
这就是与干净数据相比，“脏数据” 的开销更小的原因所在。
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5. Beyond the issues above are the ever present problems associated with "dirtydata".
除了上述问题之外，与“脏数据”相关的问题也总是存在。
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6. If there is any missing data or dirtydata, can your customer correct this in the data sources?
如果有丢失数据或脏(dirty)数据，您的客户是否可以在数据源中进行纠正呢？
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7. A model for dirtydata identification and justification is put forward based on the modified ART2 network.
文中提出了基于改进ART2网络的脏数据辨识与调整模型。
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8. The process of dirtydata processing is the recognition process of load curve pattern containing dirty data.
脏数据处理的过程就是对于含有脏数据的负荷曲线模式的辨识过程。
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9. The cache contains dirtydata, but some virtual disks are missing or will go offline, so the cached data can not be written to disk.
高速缓存中包含脏数据，但由于某些虚拟磁盘丢失或将转为脱机，因此无法将高速缓存的数据写入磁盘。
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10. If the missing data or dirtydata cannot be corrected in the customer? S data sources, what business rules will be used to correct the data?
如果无法在客户的数据源中纠正丢失的数据或脏数据，什么业务规则将用于纠正数据呢？
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11. Some "Dirtydata" will appear in labor market information system after some time. It affects data accuracy and quality of system services.
随着时间的推移，劳动力市场信息系统产生了大量的“脏数据”，降低了数据准确性和系统服务的质量。
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12. Instead, updates occur in the cache, the cache tracks the list of dirty records and periodically flushes the current set of dirty records to the data store.
相反，在缓存中一旦进行更新操作，缓存就会跟踪脏记录列表，并定期将当前的脏记录集刷新到数据库中。
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13. In other words, all dirty bits of the data buffer will be flushed to the data files.
换句话说，将把数据缓冲区的所有脏位刷新到数据文件。
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14. Ideally no two threads can try to modify the same piece of data at the same time, dirty reads are not possible, and deadlocks are automatically detected and handled.
理想情况下，多个线程不能同时访问同一块数据，脏读将不复存在，死锁则会被自动监测和处理。
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15. "How Dirty Is Your Data?" examines the amount and type of energy consumed by several top tech companies' data centers, the massive warehouses where banks of servers store information.
16. My chips are on the bottom-up people wanting to get down and dirty with data.
我把宝压在那些从下到上的人们---他们会着手收集数据，不怕麻烦---身上。
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17. Communications, data handling, and all other dirty work are performed by the frameworks behind the scenes.
框架在幕后执行了通信、数据处理及所有其他棘手的工作。
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18. It provides a clean, standardized path to rich, functional data structures, and backs it up with a growing number of tools for doing the dirty work of parsing and validation.
19. Dirty reads: A1 is retrieving uncommitted data of a2.
脏读：A 1检索a 2未提交的数据。
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20. Note that some pages can refer to files, in which case, the data can be flushed if dirty (through the page cache) or, if the page is clean, simply discarded.
21. The exception is for long field and large object data in "dirty" table Spaces, which are always backed up.
不过有一个例外，对于“脏(dirty)”表空间中的long型字段和大型对象数据，总是需要进行备份。
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22. Database Writer (DBWr) - Writes to physical data files the dirty bits of buffer asynchronously.
数据库读写器(DBWr)——异步地将缓冲区的脏数据写到物理数据文件中。
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23. It allows you to change both droid and history and know that there will not be any dirty reads of the data.
它允许同时改变droid和history，并了解不会有任何对数据的直接读取。
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24. The flow-scoped persistence-context object manages data loaded during the flow as persistent entities, and data changes cached as the entities' dirty states.
流作用域的持久化上下文对象将流期间加载的数据作为持久化实体来管理并将数据变更缓存为实体的脏状态。
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25. The dirty record list is written to the data source using a large batch transaction.
脏记录列表将使用大型的批事务写入到数据源中。
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26. This is a quick and dirty solution to the "how do I know if any data on my form has changed" problem.
这是一个快速和肮脏的解决办法，“我怎么知道我的任何数据的形式已经改变”的问题。
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27. This data initializes the transaction table, dirty pages table, and open file table so they can be used in the recovery process.
这些数据将初始化事务表、脏页表和打开文件表，以便它们能够用于恢复过程。
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28. Each query executed by a transaction sees only data that was committed before the query (not the transaction) began. An Oracle query never reads dirty (uncommitted) data.
事务中的查询只能看到在此查询之前(而非事务开始之前)提交的数据。
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29. Each query executed by a transaction sees only data that was committed before the query (not the transaction) began. An Oracle query never reads dirty (uncommitted) data.
