利用数据划分和复制将查询本地化从而实现并行查询。
And it implements parallel query processing through query localization based on data partitioning and replication.
查询处理器未能为并行查询的执行启动必要的线程资源。
The query processor could not start the necessary thread resources for parallel query execution.
PLINQ是一个对XML和内存对象进行并行查询的声明式的模型。
PLINQ is a declarative model for performing data parallel queries against XML and in-memory objects.
您的问题的解决方案是使用更多的碎片，因为所有碎片被并行查询。
The solution to your problem is to use more shards, as all shards are queried in parallel.
并行查询优化器的目标是缩减庞大的计划搜索空间，获得优化的查询规划。
The key problem is how to prune the big search space in order to get an optimized query plan for query parallel optimization.
这种优化方法大大地缩减了查询执行计划空间，确保了并行查询执行计划的优化性。
This method cuts down query plan search space greatly, thus ensures the quality of parallel query execution plans.
并行查询执行计划的搜索空间里指数级增长，如何高效地裁剪搜索空间是并行查询优化的关键所在。
The search space of parallel query execution plan is exponential complexity. How to prune the search space efficiently is the key problem of parallel query optimization.
使用何种类型的并行处理也会受到查询的执行方式的影响。
The type of parallelism used is also influenced by how the query is processed.
通过这种方法，一条查询可以使DB2生成多个任务，这些任务被并行地执行，以访问数据。
With this method a single query causes DB2 to generate several tasks, which are executed in parallel to access the data.
我也可以并行处理每个查询所得结果，在其到达时打印到屏幕。
I can also process the results from each query in parallel, printing them to the screen as they arrive.
查询在远程服务器上的编译，以及取足够的数据来填充union所有分支上的AT Q缓冲区，这两个过程是并行进行的。
The compilation of the query on the remote server and fetching of enough data to fill the ATQ buffer on all legs of the UNION will proceed in parallel.
对所有搜索目标的搜索查询是并行发出的，结果将以异步方式返回，从而允许在实时返回结果的同时在其中进行导航。
Search queries to all search targets are issued in parallel and results are returned asynchronously, enabling you to navigate through the results as they are returned in real time.
当DB 2优化器为一个查询形成查询访问计划时，它将工作划分到多个数据库分区上，这些数据库分区是并行工作的。
When the DB2 optimizer forms a query access plan for a query, it divides the work among the database partitions which work in parallel.
如果数据库查询和Web服务调用并行进行，异步用例表现更加良好。
If database query and Web service invocation could occur in parallel, the asynchronous case would behave better.
DB 2UDBV 5引入了sysplex查询并行，进一步扩展了并行处理。
DB2 UDB V5 extended parallel processing even further by introducing sysplex query parallelism.
DB 2V 4引入了另一种并行技术，这种技术称作查询CP并行。
DB2 V4 introduced another parallelism technique, called query CP parallelism.
若启用分区间并行性，对于任何给定的查询，DB2首先识别数据所驻留的分区。
With inter-partition parallelism, for any given query, DB2 first identifies the partitions where the data resides.
数据联合模式的有些实现可以将部分或全部子操作(子查询)以并行方式发送到集成源系统。
Some implementations of the data federation pattern are capable of sending some or all of the sub-operations (sub-queries) in parallel to the integrated source systems.
尤其是，可能长时间运行的复杂查询可以划分为多个部分并并行执行，这会显著改进响应时间。
In particular, complex and potentially long-running analytical queries can be divided and parallelized, which significantly improves response times.
此外，通过跨多个数据库分区分散数据以使多个分区可并行处理分配到其上的数据，也能减少复杂的分析查询的响应时间。
Also, the response time of complex analytical queries can be reduced by spreading the data across multiple database partitions, such that all partitions work on their assigned data in parallel.
因为后端查询可能要花费一定的时间，特别是在需要通过复杂查询或是需要访问网络才能得到结果的情况下，花费的时间会更长，因此，后端查询是在线程中并行执行的。
Back end queries are run in threads and paralleled because they might take some time to complete, especially if complex searching or network access is required to provide results.
当时它是一个LINQProvider，可以自动地将查询并行化。
At that time it was a LINQ provider that could automatically parallelize queries.
CP并行可以在db2子系统中为一条查询使用多个任务，而sysplex查询并行这种方法使一个DB 2数据共享组中的所有成员可以一起处理一个查询。
While query CP parallelism used multi-tasking for a query within a DB2 subsystem, this method enables all the members of a DB2 data-sharing group to process a single query.
Sysplex查询并行(一个DB 2数据共享组中的多用户和多任务)是在DB 2UDBv5中引入的。
CP parallelism (multiple tasks on multiple CPs) was implemented in DB2 V4. Sysplex query parallelism (multiple tasks on multiple members of a DB2 data sharing group) was introduced in DB2 UDB V5.
这意味着Clustrix群集数据库应该能够以最大的并行性执行查询语句，许多同步查询具有最大的并发性。
That means the Clustrix Clustered Database is supposed to execute the query with maximum parallelism and many simultaneous queries with maximum concurrency.
SQL查询的优化利用了一些复杂的功能，例如：查询重写、多连接(join)方法、详细的统计、并行性等。
The optimization of SQL queries utilize sophisticated features, such as: query rewrite, multiple join methods, detailed statistics, parallelism etc.
查询优化是并行数据库系统的核心技术。
Query optimization is the critical technique of parallel database systems.
为了提高查询处理器的执行效率，采用启发式规则来搜索最优的多连接表达式并行调度执行计划。
To improve the execution efficiency of the query processors, the authors exploit heuristics to seek the optimum parallel scheduling execution plan for multi-join expressions.
查询优化和处理是并行数据库管理系统的关键组成部分。
Query optimization and processing is a critical component of parallel database systems.
以此为基础，进一步提出了循环查询的并行处理策略。
Based on this, the parallel processing strategy for cyclic query is proposed.
应用推荐