To speed this up, you can cache the results from a search query and use these cached results whenever a user submits a query.
为了提速，您可以高速缓存从搜索查询得到的结果，然后在用户每次提交查询时使用这些缓存的结果。
This would typically happen in parallel, as each node receives and performs the query on its locally cached state. And returns results.
通常这都是并发行为，因为每个结点都会在其本地的缓存状态上接收并执行查询，最后返回结果。
Because query results from the [HistoricSales] cube are pre-cached, the performance for queries that are run against the sales data of the entire time period is improved.
因为预先缓存了来自[HistoricSales]数据集的查询结果，所以整个时间段的销售数据执行的查询性能得到了改善。
Only if a cached copy cannot be found or has expired is the YQL query executed, and the results again are saved to the cache for future use.
仅当无法找到缓存副本或缓存副本过期时才执行YQL查询，结果再次保存到缓存以备将来使用。
When the first message passes through the flow and USES this query, there will be no latency, since the node will not need to call to Registry and Repository and will use the cached results.
当第一条消息通过流并使用此查询时，将不存在延迟，因为节点不需要调用Registry andRepository，并将使用缓存的结果。
In this particular case, the paging query is run against the cached results from the original query.
在这个案例中，分页查询会对原始查询的快取结果执行。
In this particular case, the paging query is run against the cached results from the original query.
在这个案例中，分页查询会对原始查询的快取结果执行。
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