elastic/elasticsearch

ES|QL: Push down mv_contains as a lucene query

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#134,529 建立於 2025年9月11日

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 (3 留言) (0 反應) (1 負責人)Java (76,700 star) (25,882 fork)batch import
:Analytics/ES|QL>enhancementTeam:Analyticsgood first issue

描述

In some cases we can push down mv_contains as a lucene query.

We could use for example, the terms_set query. As an example:

from job-candidates
| WHERE mv_contains(programming_languages, ["java", "jruby"])

can be pushed down as:

{
  "query": {
    "terms_set": {
      "programming_languages": {
        "terms": [ "java", "jruby" ],
        "minimum_should_match": 2  
      }
    }
  }
}

貢獻者指南

技術棧
java
領域
backenddatabaseperformance
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
3-5 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
blocked
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
Understanding of ES|QL query languageKnowledge of Lucene queriesFamiliarity with Elasticsearch internal query translation
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
30
研究方向
The issue suggests using the terms set Lucene query to push down mv contains. The implementation would require modifying the ES|QL to Lucene query translation layer in Elasticsearch. Relevant files likely include query builders for ES|QL and the Lucene query generation code. The assignee may have started work, so checking the linked branch or any existing PRs (none visible) would be necessary. The task involves understanding the mv contains function and mapping it to a terms set query with minimum should match set to the number of terms.