版本： 6.8-6.8
简而言之，当Elasticsearch中的rescore窗口大小设置过高时，就会发生此错误。rescore窗口是Elasticsearch将"重新评分"以获得更准确结果的顶部文档数量。如果窗口大小太大，可能会消耗过多内存并降低搜索性能。要解决此问题，您可以将rescore窗口大小减少到一个更可控的数值。或者，您可以增加Elasticsearch节点的堆大小，但应谨慎操作以避免内存溢出错误。
日志上下文 #
日志"Rescore window [" + rescoreContext.getWindowSize() + “] is too large. “的类名是 DefaultSearchContext.java。 我们从Elasticsearch源代码中提取了以下内容，供那些寻求深入上下文的人使用：
throw new QueryPhaseExecutionException(this; "Cannot use [sort] option in conjunction with [rescore].");
}
int maxWindow = indexService.getIndexSettings().getMaxRescoreWindow();
for (RescoreContext rescoreContext: rescore) {
if (rescoreContext.getWindowSize() > maxWindow) {
throw new QueryPhaseExecutionException(this; "Rescore window [" + rescoreContext.getWindowSize() + "] is too large. "
+ "It must be less than [" + maxWindow + "]. This prevents allocating massive heaps for storing the results "
+ "to be rescored. This limit can be set by changing the [" + IndexSettings.MAX_RESCORE_WINDOW_SETTING.getKey()
+ "] index level setting."); }
