我想知道的是,是吗可能会运行以下报告:
最近24小时,周内索引的内容中最受欢迎的短语是什么,等等。?这将类似于用于生成Word / Tag云,但不依赖于用户输入(例如常见的搜索字词)作为源。
可以根据特定搜索字词的最流行的短语建议而不是指定方面?即如果有人搜索音乐这个词,包括音乐在内的最受欢迎的短语是音乐奖或电子音乐,那么这些方面是否可以在没有明确设计到初始请求中的情况下被返回?
您可以看到我想知道的是,如果我们可以从索引的内容获得任何分析,而不仅仅是明确的结果。
解决方案对于弹性搜索中的这些类型的报告和数据分析,您可能需要尝试Kibana3 three.kibana/ 。如果您的数据具有时间戳,那么只有在分析Kibana数据的要求时才会起作用。工具非常灵活,我相信会给您关于您正在寻找的数据的见解。
I'm just getting used to using elasticsearch in our platform, and so far it's proven to be a superb move, but other than some built in stats I haven't found any reference to creating a report of sorts. I guess the closest comparison would be facets, but it seems they need to be predefined in order to show stats for them.
What I would like to know is, is it possible to run reports such as:
What are the most popular phrases within the indexed content for the last 24 hours, week, etc.? This would be similar to what's used to produce Word/Tag Clouds, but without relying on user input (common search terms for example) as a source.
Can facets be suggested rather than specified based on the most popular phrases for a particular search term(s)? i.e. If someone searches for the term "Music" and the most popular phrases including "Music" are things like "Music Awards" or "Electronic Music", can those facets be returned without designing them explicitly into the initial request?
As you can see what I'd like to know if we can gain any analytics from the indexed content, not just explicit results.
解决方案For these types of reports and analytics of data in elasticsearch you may want to try Kibana3 three.kibana/. This will only work if your data has a timestamp as that is a requirement for analyzing data in Kibana. Tool is very flexible and I believe will give you the insights about your data you are looking for.
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是否可以从索引内容生成弹性搜索报告?
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