application/oda                oda
application/pagemaker          pm5 pt5 pm       # PageMaker
application/pdf                pdf              # Adobe Acrobat
application/postscript         ai eps ps        # Postscript File
application/rtf                rtf              # Rich Text File
application/toolbook           tbk              # Toolbook
application/wordperfect        wp               # WordPerfect

* If a PR seems to be AI generated, and seems like reviewing it would take more time from you than the time it took to write the prompt, mark it as `maybe-ai`, and it will be automatically closed.

* A PR should have a specific use case that it is solving.

* If the PR is for a feature, it should have docs.

/// note | 기술 세부사항

각 JSON 객체는 새 줄로 구분되므로, 내용에 실제 줄바꿈 문자를 포함할 수는 없습니다. 하지만 JSON 표준의 일부인 이스케이프된 줄바꿈(`\n`)은 포함할 수 있습니다.

보통은 신경 쓸 필요가 없습니다. 자동으로 처리되니 계속 읽어 주세요. 🤓

///

## 사용 예 { #use-cases }

이 방법을 사용해 **AI LLM** 서비스, **로그** 또는 **telemetry**에서 오는 데이터, 혹은 **JSON** 항목으로 구조화할 수 있는 다른 유형의 데이터를 스트리밍할 수 있습니다.

/// tip

비디오나 오디오처럼 바이너리 데이터를 스트리밍하려면 고급 가이드를 확인하세요: [스트림 데이터](../advanced/stream-data.md).

///

MinIO is a high-performance, S3-compatible object storage solution released under the GNU AGPL v3.0 license.
Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools
- Built for AI & Analytics – Optimized for large-scale data pipelines
- High Performance – Ideal for demanding storage workloads.

        final String server = getServerWithDfs();
        int ai;

        if (resolveSids) {
            final SID[] sids = new SID[aces.length];
            final String[] names = null;

            for (ai = 0; ai < aces.length; ai++) {
                sids[ai] = aces[ai].sid;
            }

            for (int off = 0; off < sids.length; off += 64) {

It looks like this:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE is commonly used for AI chat streaming, live notifications, logs and observability, and other cases where the server pushes updates to the client.

/// tip

But normally you won't have to worry about it, it's done automatically, continue reading. 🤓

///

## Use Cases { #use-cases }

You could use this to stream data from an **AI LLM** service, from **logs** or **telemetry**, or from other types of data that can be structured in **JSON** items.

/// tip

        assertTrue(queryFieldConfig.sortFieldSet.contains("sort3"));
    }

    /**
     * Test isSortField with empty array - should return false, not throw exception.
     * This test addresses the Copilot AI concern about empty arrays.
     */
    @Test
    public void test_isSortField_withEmptyArray_returnsFalse() {
        String[] emptyFields = {};
        queryFieldConfig.setSortFields(emptyFields);

- This project supports up to 21 languages. When modifying user-facing strings, error codes, or labels, always propagate changes to ALL language files (fess_label_*.properties and frontend i18n files).

## Important Patterns for AI Assistants

### Do's
1. Use `@Resource` for field injection (not constructor injection)
2. Access helpers via `ComponentUtil.getXyzHelper()`
3. Use `OptionalEntity<T>` for nullable entity returns

每個事件都是一個小型文字區塊，包含 `data`、`event`、`id` 和 `retry` 等「欄位」，並以空白行分隔。

看起來像這樣：

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

SSE 常用於 AI 聊天串流、即時通知、日誌與可觀察性，以及其他由伺服器主動推送更新給用戶端的情境。

/// tip

如果你要串流二進位資料，例如影片或音訊，請參考進階指南：[串流資料](../advanced/stream-data.md)。

///

## 使用 FastAPI 串流 SSE { #stream-sse-with-fastapi }