{
  "title": "Sample Document",
  "author": "John Doe",
  "version": "1.0",
  "published": "2025-01-15",
  "tags": ["crawler", "extractor", "json"],
  "content": {
    "summary": "This is a sample JSON document for testing",
    "body": "The extractor should handle nested objects and arrays properly"
  },
  "metadata": {
    "created_at": "2025-01-01T00:00:00Z",
    "updated_at": "2025-01-15T12:00:00Z"
  }

```bash
# Export Solr documents as JSON
curl "http://solr-server:8983/solr/collection1/select?q=*:*&rows=10000&wt=json" \
  -o solr-export.json
```

**Step 2: Transform to Fess Format**

Create a transformation script to map Solr fields to Fess fields:

```python
import json

# Load Solr export
with open('solr-export.json', 'r') as f:
    solr_data = json.load(f)

# Transform documents

        headers.put("CONTENT-LENGTH", Arrays.asList("100"));
        headers.put("accept-encoding", Arrays.asList("gzip"));
        response.setHeaders(headers);

        // All header access should be case-insensitive
        assertEquals("application/json", response.getHeaderValue("content-type"));
        assertEquals("application/json", response.getHeaderValue("CONTENT-TYPE"));

        } else if (value instanceof String[]) {
            final String json = Arrays.stream((String[]) value)
                    .map(s -> "\"" + StringEscapeUtils.escapeJson(s) + "\"")
                    .collect(Collectors.joining(","));
            buf.append('[').append(json).append(']');
        } else if (value instanceof List) {
            final String json = ((List<?>) value).stream()

    @Resource
    private UserService userService;

    /**
     * Retrieves user settings with pagination.
     *
     * @param body the search parameters for filtering and pagination
     * @return JSON response containing user settings list
     */
    // GET /api/admin/user/settings
    // PUT /api/admin/user/settings
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {

    }

    /**
     * Starts a scheduled job by ID.
     *
     * @param id the ID of the scheduled job to start
     * @return JSON response indicating success or failure
     */
    // PUT /api/admin/scheduler/{id}/start
    @Execute(urlPattern = "{}/@word")
    public JsonResponse<ApiResult> put$start(final String id) {

 - [Git](https://github.com/codelibs/fess-ds-git)
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            }

            return extractData;
        } catch (final IOException e) {
            throw new ExtractException("Failed to parse JSON content", e);
        }
    }

    /**
     * Recursively extracts content from JSON nodes.
     *
     * @param node the JSON node to extract from
     * @param parentKey the parent key path
     * @param textBuilder the string builder for text content

import org.codelibs.curl.CurlResponse;

try (CurlResponse response = Curl.get("https://example.com")
                                .param("q", "curl4j")
                                .header("Accept", "application/json")
                                .execute()) {
    System.out.println("Status: " + response.getHttpStatusCode());
    System.out.println(response.getContentAsString());
}
```

### Asynchronous request

```java

        final ExtractData extractData = jsonExtractor.getText(in, null);
        CloseableUtil.closeQuietly(in);

        final String content = extractData.getContent();

        // Verify nested content extraction
        assertTrue(content.contains("content.summary"));
        assertTrue(content.contains("This is a sample JSON document for testing"));
    }