Elasticsearch & Full Text Search Systems · レッスン

Boolによるクエリの組み合わせ

`must`、`should`、`must_not`、`filter`句を使って複数のクエリを複雑なロジックで組み合わせる`bool`クエリを学びます。

「Boolによるクエリの組み合わせ」はCoddyKit上の無料Elasticsearch & Full Text Search Systemsレッスンです。これはレッスン3/4です。下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。これはElasticsearch & Full Text Search Systems学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 Elasticsearch & Full Text Search Systemsコースには全4レッスンが含まれています。

このレッスンの一部はまだ翻訳されておらず、英語で表示されています。

Combine Search Logic

Welcome to combining queries! Up until now, we've looked at single search conditions. But real-world searches often need multiple criteria.

Elasticsearch's bool query is your go-to for building complex search logic. It lets you combine several queries using AND, OR, and NOT conditions.

Anatomy of a Bool Query

A bool query acts like a container for other queries. It has four main clauses:

must: All queries inside must match (AND).
should: At least one query inside should match (OR).
must_not: Queries inside must NOT match (NOT).
filter: Queries inside must match, but don't affect relevancy score.

We'll explore each one!

`must`: All Conditions Must Match

The must clause is like an "AND" operator. All queries listed within must must be true for a document to be considered a match.

Documents that satisfy all must clauses contribute positively to the relevancy score.

Example: `must` Clause

This query finds products that are both "laptop" AND "gaming".

{
  "query": {
    "bool": {
      "must": [
        { "match": { "category": "laptop" } },
        { "match": { "tags": "gaming" } }
      ]
    }
  }
}

`should`: At Least One Condition

The should clause is like an "OR" operator. If a document matches any of the queries listed in should, it's considered a potential match.

The more should queries a document matches, the higher its relevancy score usually is.

By default, if there are no must clauses, at least one should clause must match for a document to be returned.

Example: `should` Clause

This query finds products that are either "laptop" OR "tablet".

{
  "query": {
    "bool": {
      "should": [
        { "match": { "category": "laptop" } },
        { "match": { "category": "tablet" } }
      ]
    }
  }
}

`must_not`: Exclude Documents

The must_not clause is like a "NOT" operator. Documents matching any query inside must_not will be excluded from the results.

Queries in must_not do not contribute to the relevancy score.

Example: `must_not` Clause

This query finds all products EXCEPT those in the "refurbished" category.

{
  "query": {
    "bool": {
      "must_not": [
        { "match": { "category": "refurbished" } }
      ]
    }
  }
}

`filter`: Fast, Non-Scoring AND

The filter clause is similar to must in that all queries within it must match. However, there's a key difference:

No Scoring: Filter queries don't affect the relevancy score of documents.
Caching: Filter queries are often cached, making them very fast for frequently used criteria.

Use filter for "yes/no" conditions where you just want to include or exclude documents without influencing their rank.

Advanced: Multiple Clauses

You can combine all these clauses within a single bool query to build powerful, precise searches. This example finds:

Products with "laptop" in the name (must)
THAT are either "gaming" OR "ultrabook" (should)
BUT are NOT "refurbished" (must_not)
AND have a status of "available" (filter)

{
  "query": {
    "bool": {
      "must": { "match": { "name": "laptop" } },
      "should": [
        { "match": { "tags": "gaming" } },
        { "match": { "tags": "ultrabook" } }
      ],
      "must_not": { "term": { "condition": "refurbished" } },
      "filter": { "term": { "status.keyword": "available" } }
    }
  }
}

Complex Query Logic

Consider a bool query designed to find articles:

About "Elasticsearch" (must)
Published in "2023" OR "2024" (should)
But NOT written by "John Doe" (must_not)

Which of the following statements is TRUE regarding this query's behavior?

Recap: Bool Query Power

Great job! You've learned how to combine simple queries into powerful, complex search logic using Elasticsearch's bool query.

must: All conditions must be met (AND).
should: At least one condition should be met (OR).
must_not: Documents must NOT match these conditions (NOT).
filter: Conditions must be met, but don't affect relevancy (fast & cached).

Understanding bool queries is crucial for building precise and effective search applications!

よくある質問

「Boolによるクエリの組み合わせ」レッスンは無料ですか？

はい。「Boolによるクエリの組み合わせ」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し（組み込みコードエディタと24時間対応のAIチューター）、Elasticsearch & Full Text Search Systemsコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 Elasticsearch & Full Text Search Systemsコースには全4レッスンが含まれています。

「Boolによるクエリの組み合わせ」で何を学びますか？

`must`、`should`、`must_not`、`filter`句を使って複数のクエリを複雑なロジックで組み合わせる`bool`クエリを学びます。ブラウザで直接実行するハンズオンコードでElasticsearch & Full Text Search Systemsを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。

Elasticsearch & Full Text Search Systemsを始めるのに経験は必要ですか？

事前経験は必要ありません。CoddyKitのElasticsearch & Full Text Search Systemsは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。これはレッスン3/4です。

「Boolによるクエリの組み合わせ」レッスンにはどのくらい時間がかかりますか？

ほとんどのCoddyKitレッスンは約5～10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。

このElasticsearch & Full Text Search Systemsレッスンでコードを書いて実行できますか？

はい。すべてのElasticsearch & Full Text Search Systemsレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。

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