--- title: "Rescore窗口过大——如何解决此Elasticsearch异常" date: 2026-03-10 lastmod: 2026-03-10 description: "当Elasticsearch中的rescore窗口大小设置过大时会发生此错误。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。" tags: ["Rescore", "窗口大小", "内存优化", "搜索性能"] summary: "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 + "]." --- > **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。](https://www.geeksforgeeks.org/java-lang-class-class-java-set-1/) 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: ```java 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."); } ```