The query processor could not start the necessary thread resources for parallel query execution.
查询处理器未能为并行查询的执行启动必要的线程资源。
This method cuts down query plan search space greatly, thus ensures the quality of parallel query execution plans.
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。
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.
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。
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.
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。
Use this flag in cases where you know that parallel execution of the query will result in speedup, but PLINQ in the Default mode would execute it as sequential.
如果认为并行执行查询将带来加速，则使用此标志，但处于默认模式的PLINQ将按顺序执行它。
Use this flag in cases where you know that parallel execution of the query will result in speedup, but PLINQ in the Default mode would execute it as sequential.
如果认为并行执行查询将带来加速，则使用此标志，但处于默认模式的PLINQ将按顺序执行它。
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