不爲也 比不能也

Queries and filters mergededitQueries and filters have been merged — all filter clauses are now query clauses. Instead, query clauses can now be used in query context or in filter context:query와 filter는 통합되었다. 모든 filter절은 이제 query절이다. 대신, 이제 query절은 query context 나 filter context 에서 사용된다.Query contextA query used in query context will calculate relevance scores and will not be cacheable. Query c..

Min doc count defaults to zeroeditBoth the histogram and date_histogram aggregations now have a default min_doc_count of 0instead of 1.histogram 과 date_histogram aggregation 둘 모두는 min_doc_count 의 기본값으로 1 대신에 0 을 가진다.Timezone for date fieldeditSpecifying the time_zone parameter in queries or aggregations on fields of type date must now be either an ISO 8601 UTC offset, or a timezone id. For examp..

While Elasticsearch comes with many queries, you will use just a few frequently. We discuss them in much greater detail in Search in Depth but next we give you a quick introduction to the most important queries.Elasticsearch에는 많은 query가 있지만, 자주 사용하는 것은 소수일 것이다. Search in Depth에서, 훨씬 더 자세히 이야기할 것이다. 아래에서 가장 중요한 query들에 대해 빠르게 소개하겠다.match_all QueryeditThe match_all query simply matches all documen..

The term query is useful for finding a single value, but often you’ll want to search for multiple values.What if you want to find documents that have a price of $20 or $30?term query는 단일 값을 찾는데 유용하다. 그러나, 가끔은 다중 값을 찾을 수도 있다. 가격이 $20 또는 $30인 document를 찾으려면 어떻게 해야 할까?Rather than using multiple term queries, you can instead use a single terms query (note the s at the end). The terms query is simply..

We could spend the next few pages defining the various aggregations and their syntax, but aggregations are truly best learned by example. Once you learn how to think about aggregations, and how to nest them appropriately, the syntax is fairly trivial.다음 몇 페이지에서, 다양한 aggregation과 그 문법에 대해 이야기할 것이다. 그러나, aggregation은 예제로 배우는 것이 제일 좋다. aggregation에 대해 생각하는 방법과, 적절하게 중첩시키는 방법을 배우기만 하면, 문법은 매우 간단하다.A..

The true power of aggregations becomes apparent once you start playing with different nesting schemes. In the previous examples, we saw how you could nest a metric inside a bucket, which is already quite powerful.또 다른 중첩 방식을 적용해 보면, aggregation의 진정한 위력은 분명해진다. 이전의 예제에서, bucket 내부에 metric을 중첩하는 방법을 알 수 있었다. 그것으로 이미 매우 강력하다.But the real exciting analytics come from nesting buckets inside other buc..

One of the exciting aspects of aggregations are how easily they are converted into charts and graphs. In this chapter, we are focusing on various analytics that we can wring out of our example dataset. We will also demonstrate the types of charts aggregations can power.aggregation의 가장 흥미로운 부분 중 하나는, 그것을 chart와 graph로 변경하기가 쉽다는 것이다. 이 장에서, 예제 데이터 집합에서 뽑아낼 수 있는 다양한 분석에 집중할 것이다. 또한 aggregation에서 가능..

The terms bucket dynamically builds buckets based on your data; it doesn’t know up front how many buckets will be generated. While this is fine with a single aggregation, think about what can happen when one aggregation contains another aggregation, which contains another aggregation, and so forth. The combination of unique values in each of these aggregations can lead to an explosion in the num..