• Data sources connection pool and prepared statement cache.

    数据源连接池和事先声明的高速缓存。

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  • The data source statement cache size can be tuned using a few different methods.

    可以使用一些不同的方法来调优数据库语句缓存大小。

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  • The number of nontransactional statements that used the binary log statement cache.

    使用二进制日志缓存文件的非事务语句数量。

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  • However, you still need to be aware that the results depend on the current contents of the SQL statement cache.

    不过,您仍然要记住,分析得到的结果仅取决于sql语句缓存的当前内容。

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  • Data source statement cache size specifies the number of prepared JDBC statements that can be cached per connection.

    数据源语句缓存大小指定每次连接可以缓存的经过准备的jdbc语句的数量。

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  • Hint: you can also manually create an.sql file from your dynamic statement cache or using other preferred mechanisms.

    提示:还可以从动态语句缓存或使用其他首选机制手动创建.sql文件。

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  • The size you specify for the statement cache size should be relatively large. Typically this is in the range of 100-200.

    您为语句缓存指定的大小应当相对较大,一般在100到200之间。

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  • The size you specify for the statement cache size should be relatively large. Typically, this is in the range of 100-200.

    您为语句缓存指定的大小应当相对较大,一般在100到200之间。

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  • But we do have control on all kinds of cache, Data-distribution cache, Dictionary cache, SPL routine cache, and SQL statement cache.

    但是,我们控制所有类型的缓存器,数据分布缓存器、字典缓存器、SPL例程缓存器和sql语句缓存器。

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  • So when the same SQL statement is executed again, DB2 finds the previously created access plan in the statement cache and reuses the access plan.

    因此,当同一个sql语句再次执行时,DB 2在语句缓存中找到此前创建的访问计划并重用它。

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  • The DB2 optimizer stores the access plan created in the prepare phase in the SQL statement cache (also called package cache in DB2) for reuse purposes.

    DB 2优化器将准备阶段中创建的访问计划存储在sql语句缓存(在DB 2中也称为包缓存)中以便重用。

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  • If your JDBC program USES prepared statements and parameter markers, queries are processed faster if they are found in the database statement cache.

    如果您的JDBC程序使用已经准备好的语句和参数标志,并且如果在数据库语句缓存中找到了它们的话,查询过程将处理地更快。

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  • Looking back at the chart in Figure 11, before tuning the data source statement cache size, the number of statements discarded was over 1.7 million.

    回过头来看图9中的表,在调优数据源语句缓存大小之前,被丢弃的语句的数量超过170万条。

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  • Another option is to use Query Tuner to capture statements from the statement cache and to view the statement runtime information, as shown in Figure 7.

    另一个选择是使用QueryTuner从状态缓存获取状态,并查看状态运行时信息,如图7所示。

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  • As an alternative to an input file containing SQL statements, you can also have Design Advisor evaluate the contents of the database's SQL statement cache.

    包含sql语句的输入文件有一个代替办法,即让Design Advisor计算数据库的sql语句缓存的内容。

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  • The statement cache size can be configured by navigating to Resources => JDBC => Data sources => data_source => WebSphere Application Server data source properties.

    要配置语句缓存大小,可以导航到Resources =>JDBC =>Datasources => data_source =>WebSphereApplicationServerdatasourceproperties。

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  • The db2pd call gathers information about locks, transactions, applications, and the statement cache and stores this information in a text file for analysis purposes.

    db 2 pd调用收集与锁定、事务、应用程序、语句缓存相关的信息,并将信息存储在一个文本文件中以供分析。

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  • Therefore, when using the SQL statement cache as input, you should run the Design Advisor at different points throughout the day to evaluate a broader range of statements.

    因此,当使用sql语句缓存作为输入时,应该在当天的不同时间点运行Design Advisor,以计算更大范围的sql语句。

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  • In a J2SE environment, if the statement cache is too small or the batch size too large, you may receive SQL exceptions resulting from inconsistencies in the statement cache.

    在一个J2SE环境中,如果语句缓存太小或批量太大,您可能会因语句缓存中的不一致性而收到SQL异常。

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  • For example, an administrator can figure out what is the maximum number of database connections or optimum number for prepared statement cache size that should be used to handle a real world load.

    例如,管理员可以决定数据库连接的最大数量,以及处理实际工作负荷应该所用的预备状态缓存空间的最优数量。

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  • When the statement is compiled, its access plan is stored in the package cache.

    在编译语句时,语句的访问计划被存储在包缓存中。

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  • If the same INSERT statement is executed repeatedly, its access plan will (usually) be found in the package cache and the compilation cost is avoided.

    如果重复地执行相同的insert语句,则该语句的访问计划(通常)会进入到包缓存中,这样就免除了编译的开销。

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  • Use of literals instead of variables or parameters is generally discouraged within SQL because it makes each statement unique, which drives down cache hit ratios.

    一般情况下,不鼓励在SQL中使用字面值,而是主张使用变量或参数,因为字面值会使每个语句具有独特性,这会降低缓存的命中率。

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  • Invoking the HISTORY command again shows that there are now five commands or statements in the cache, including the modified SELECT statement.

    再次调用HISTORY命令来显示缓存中现在有5个命令,包括修改的SELECT语句。

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  • If a guideline is updated, or deleted from the table, then it is necessary to refresh the cache by issuing the FLUSH OPTIMIZATION PROFILE cache statement, so it can be used.

    如果从这个表中更新或删除一个指南,那么需要通过发出FLUSHOPTIMIZATIONPROFILEcache语句更新缓存,使之可以被使用。

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  • To stop the Web server from caching your graphs, use the appropriate HTML META tags (for example, the 'no-cache' statement) in your scripts.

    要想禁止Web服务器缓存图形,应该在脚本中使用适当的HTMLMETA标记(例如‘no -cache’语句)。

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  • To stop the Web server from caching your graphs, use the appropriate HTML META tags (for example, the 'no-cache' statement) in your scripts.

    要想禁止Web服务器缓存图形,应该在脚本中使用适当的HTMLMETA标记(例如‘no -cache’语句)。

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