map:{
    # base package of generated classes
    ; basePackage = org.codelibs.fess.opensearch

    # base path to JSON resource, URL or relative path
    ; basePath = ../src/main/config/es

    # settings for indexes
    ; indexMap = map:{
        # Index: fess_user
        ; fess_user.group = map:{
            ; package = user
            ; esclientDiFile = esclient.xml
            ; esfluteDiFile = esflute_user.xml
        }

# CLAUDE.md

This file provides guidance to Claude Code when working with this repository.

## Project Overview

Fess is an Enterprise Search Server built on OpenSearch. It's a Java-based web application that crawls and indexes documents from various sources and provides full-text search capabilities. Licensed under Apache License 2.0.

**Key Capabilities:**
- Full-text search with OpenSearch backend
- Web, file system, and data store crawling

 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *
 * <p>The processor maintains a map of query commands indexed by query class names
 * and a list of filters that are applied in order during query processing.</p>
 */
public class QueryProcessor {

    /**
     * Default constructor.
     */
    public QueryProcessor() {

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## Pre-Migration Planning

### 1. Assessment Phase

Before starting migration, assess your current system:

- **Document Count**: Total number of indexed documents
- **Index Size**: Storage requirements for search indices
- **Crawl Sources**: URLs, file shares, databases being indexed
- **Custom Configurations**: URL patterns, security rules, metadata fields
- **Search Features**: Facets, suggestions, security filtering, ranking rules

import org.codelibs.fess.entity.DataStoreParams;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Abstract base class for document ingesters that process and transform documents
 * before they are indexed. Ingesters can be used to modify document content,
 * extract additional metadata, or perform other transformations during the
 * indexing process.
 *

     */
    @Size(max = 10)
    public String suggestSearchLog;

    /**
     * Enable or disable search suggestions based on document content.
     * When enabled, suggestions are generated from indexed documents.
     */
    @Size(max = 10)
    public String suggestDocuments;

    /**
     * Number of days to keep suggestion search logs before purging.

    protected AtomicLong documentSize = new AtomicLong(0);

    /** Total execution time for all operations */
    protected volatile long executeTime = 0;

    /** List of documents waiting to be indexed */
    protected final DocList docList = new DocList();

    /** Maximum size of document requests in bytes */
    protected long maxDocumentRequestSize;

    /** Maximum number of documents to cache before indexing */

        if (ComponentUtil.getFessConfig().isSuggestDocuments()) {
            final CountDownLatch latch = new CountDownLatch(1);

            logger.info("Parsing words from indexed documents.");
            suggestHelper.indexFromDocuments(ret -> {
                logger.info("Success indexing from documents.");
                latch.countDown();
            }, t -> {

    /** Logger instance for this factory class. */
    private static final Logger logger = LogManager.getLogger(DataStoreFactory.class);

    /**
     * Map containing registered data store instances indexed by their names and class simple names.
     * All keys are stored in lowercase for case-insensitive lookup.
     */
    protected Map<String, DataStore> dataStoreMap = new LinkedHashMap<>();

    /**