• Figure 1 shows the idea behind pessimistic locking.

    图1展示了悲观锁定背后的思想。

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  • Figure 1 illustrates the functioning of pessimistic locking.

    图1阐释了悲观锁定的功效。

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  • Lock the entire table before saving (pessimistic locking).

    保存(悲观锁)之前锁定整个表。

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  • Pessimistic locking, where a record is locked while it is edited.

    悲观的锁定,在编辑记录时将其锁定。

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  • Fixed for UPDATE statements not generated for pessimistic locking.

    修复了不会生成悲观锁定的FOR UPDATE语句。

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  • Certain critical updates should always be done with pessimistic locking.

    进行特定的关键性更新时,应始终使用悲观锁定方式。

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  • The main problem with a pessimistic locking approach is that transactions have to wait for each other.

    悲观锁定方法的主要问题是事务之间必须互相等待。

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  • The advantage of pessimistic locking is that it is guaranteed that changes are made consistently and safely.

    悲观锁定的优点就是能够保证实现一致且安全的更改。

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  • However, this should be evaluated on a case by case basis — there are situations where pessimistic locking is necessary.

    但是,在实际使用中应根据具体情况进行分析,有时也需要悲观锁定方案。

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  • Avoid pessimistic Locking since the pessimistic locks affect the throughput and it's difficult to recover from bad locks.

    应当尽量避免使用悲观锁,因为它会影响吞吐量,而且很难从坏锁(badlocks)中恢复。

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  • A pessimistic locking strategy assumes that the probability is high that another user will try to modify the same row in a table that you are changing.

    悲观锁定策略的前提是,另一个用户很可能试图修改您正在修改的某个表行。

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  • However, for entity beans this rule has to be relaxed; due to the nature of the model, most pessimistic locking access intents require at least Repeatable Read.

    但是,对于实体Bean则可不遵循此规则,由于该模型本身的特性,多数悲观锁定访问都需要至少RepeatableRead。

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  • In the pessimistic locking scheme, explicit locks are taken against rows using the SQL SELECT FOR UPDATE statement. Data is then modified, and an SQL UPDATE is issued.

    在悲观锁定方案中,通过使用SQLSELECTFORupdate语句对数据行进行显式锁定,然后更改数据,并执行SQL UPDATE。

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  • Pessimistic session locking is a form of serialization and can severely limit system availability, and so should be used with caution.

    悲观会话锁定是一种序列化形式,会严重地影响系统的可用性,须小心使用。

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  • Pessimistic session locking should be used with great discretion, as it serializes access to data across a business process that includes user think time.

    必须谨慎使用悲观会话锁定,因为它在业务流程(包括用户思考时间)中序列化数据访问。

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  • If pessimistic session locking is used, it should generally only be used to block other users from updating; it should not block reads of the locked data.

    如果使用悲观会话锁定,它通常只用于阻止其他用户进行更新,而不是阻止对锁定数据的读取。

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  • As will be discussed later, pessimistic session locking has several problematic situations that need to be addressed, such as the cleaning up of abandoned locks.

    在使用悲观会话锁定中需要注意一些问题,例如清理废弃的锁等,这将在稍后进行介绍。

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  • Pessimistic record locking, which provides a way to prevent situations where multiple users can edit a record at the same time.

    消极记录锁定,它提供了避免发生多个用户同时编辑一条记录情况的手段。

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  • While that JVM was pessimistic and exclusive in its locking semantic, we could support so much more out in the cluster where coordination was implemented in Terracotta.

    由于JVM的锁语义是悲观和排他的,因此当把协调关系放到Terracotta中实现,我们就能够在集群中提供更多的支持。

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  • The pattern in this case is that when the first transaction reads a row it will "stamp" it with the identity of the user, similarly to how pessimistic session locking is handled (covered next).

    本例中的模式是当第一个事务读取某个数据行时,它将加上时间戳和用户标识,这类似于悲观会话锁定的处理方式(稍后讨论)。

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  • The pattern in this case is that when the first transaction reads a row it will "stamp" it with the identity of the user, similarly to how pessimistic session locking is handled (covered next).

    本例中的模式是当第一个事务读取某个数据行时,它将加上时间戳和用户标识,这类似于悲观会话锁定的处理方式(稍后讨论)。

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