> For the complete documentation index, see [llms.txt](https://docs.nexthink.com/platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nexthink.com/platform/ja/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-operators/nql-logical-operators.md).

# NQL論理演算子

論理演算子を [NQLウェア](/platform/ja/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-keywords/nql-where.md) 句と組み合わせて使用し、NQL クエリ結果をフィルタリングします。

### NQL 'in'

`in` 論理演算子を使用して、メトリックの値がリストに含まれるかどうかを確認します。

**例**:

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where package.name in [ "MS Teams", "Zoom" ]
```

{% endcode %}

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where code in [94011, 94031]
```

{% endcode %}

### NQL '!in'

`!in` 論理演算子を使用して、メトリックの値がリストに**含まれない**ことを確認します。

**例**:

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where hardware.type !in [virtual, null]
```

{% endcode %}

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where code !in [ 403, 404]
```

{% endcode %}

### NQL 'contains'

`contains` 論理演算子を使用して、文字列が文字列の配列に含まれているかどうかを確認します。

**例**:

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where monitor.tags contains 'VDI'
```

{% endcode %}

### NQL '!contains'

`!contains` 論理演算子を使用して、文字列が**含まれていない**ことを確認します。

**例**:

{% code overflow="wrap" lineNumbers="true" %}

```
...
| where monitor.tags !contains 'VDI'
```

{% endcode %}


---

# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.nexthink.com/platform/ja/understanding-key-data-platform-concepts/nexthink-query-language-nql/nql-operators/nql-logical-operators.md?ask=<question>&goal=<endgoal>
```

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`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.