diff --git a/content/chinese/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md b/content/chinese/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
new file mode 100644
index 00000000..14043e87
--- /dev/null
+++ b/content/chinese/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
@@ -0,0 +1,225 @@
+---
+date: '2026-02-03'
+description: 学习如何使用 GroupDocs.Search 在 Java 中构建日志文件提取器，实现全文搜索。将文档添加到索引，优化搜索性能，并高效处理大型日志文件。
+keywords:
+- full-text search Java GroupDocs
+- custom text extractor Java
+- GroupDocs.Search indexing
+title: 精通 Java 全文搜索：使用 GroupDocs 实现日志文件提取器
+type: docs
+url: /zh/java/searching/java-full-text-search-groupdocs-custom-extractor/
+weight: 1
+---
+
+# 掌握 Java 全文搜索：使用 GroupDocs 实现日志文件提取器
+
+全文搜索功能对于需要高效索引和检索大型文档集合数据的应用程序至关重要。在本 **日志文件提取器** 教程中，您将了解如何配置 GroupDocs.Search、为日志文件创建自定义提取器、**将文档添加到索引**，以及在需要 **搜索大型日志文件** 时 **优化搜索性能**。
+
+## 您将学习
+- 设置并配置 GroupDocs.Search for Java。
+- 实现一个 **日志文件提取器** 以进行定制索引。
+- **将文档添加到索引** 并执行快速搜索。
+- 展示 **日志文件提取器** 发挥优势的真实场景。
+- 针对海量日志归档的 **优化搜索
+- **什么是日志文件 GroupDocs.Search 如何日志文件。
+- **为什么使用 GroupDocs.Search？** 它提供开箱即用的索引、自动重新索引以及强大的查询功能。
+- **我需要许可证吗？** 是的——需要试用版或正式许可证才能启用该库。
+- **我可以同时索引；您可以在自定义、适当的索引设置，并通过自动重新索引限制内存使用。
+
+## 前置条件
+
+在实现之前，请确保具备以下条件：
+
+### 必需的库
+确保在项目中将正确版本的 GroupDocs.Search for Java 添加为依赖。以下是使用 Maven 设置的方法：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+或者，直接从 [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/) 下载最新版本。
+
+### 环境设置
+- JDK 8 或更高版本。
+- 熟悉 Java 编程和文件处理概念。
+
+### 许可证获取
+首先下载免费试用许可证以体验 GroupDocs.Search 功能。若需长期使用，请考虑购买正式许可证或通过 [GroupDocs 的网站](https://purchase.groupdocs.com/temporary-license/) 申请临时许可证。
+
+## 为 Java 设置 GroupDocs.Search
+
+要开始使用 GroupDocs.Search，请在应用程序中初始化并配置它：
+
+1. **Maven 设置**：确保 Maven 配置已如上所示正确添加到 `pom.xml` 中。
+2. **许可证初始化**：
+ ```java
+ License license = new License();
+ license.setLicense("path/to/license");
+ ```
+
+完成设置后，让我们继续实现自定义 **日志文件提取器**。
+
+## 什么是日志文件提取器？
+
+一个 **日志文件提取器** 是一段代码，告诉 GroupDocs.Search 如何读取原始日志文件（通常为 `.log`）并将其内容转换为可搜索的文本。通过提供自定义提取器，您可以完全控制解析规则、过滤噪声，只提取对日志文件提取器为特定文件类型创建定制索引。以下是分步指南。
+
+### 步骤 1：定义自定义提取器
+创建一个继承自 `TextExtractorBase` 的类。该类声明它处理的文件扩展名并包含提取逻辑。
+
+```java
+import com.groupdocs.search.extractors.TextExtractorBase;
+
+public class LogExtractor extends TextExtractorBase {
+ @Override
+ public String[] getFileExtensions() {
+ return new String[]{"log"};
+ }
+
+ @Override
+ public String extractText(String documentContent) {
+ // Custom logic for extracting text from log files.
+ return documentContent; // Implement your custom extraction here.
+ }
+}
+```
+
+**关键点**
+- `getFileExtensions()` 告诉 GroupDocs.Search 对 `.log` 文件使用此提取器。
+- `extractText` 是您可以去除时间戳、过滤调试行或进行任何 **搜索大型日志文件** 所需预处理的地方。
+
+### 步骤 2：使用提取器配置索引设置
+将提取器添加到索引配置中，并启用自动重新索引，以便新日志自动被索引。
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+public class CustomTextExtractorFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ IndexSettings settings = new IndexSettings();
+
+ // Adding the custom text extractor to the settings.
+ settings.getCustomExtractors().addItem(new LogExtractor());
+
+ // Creating or loading an index with specified settings and enabling auto-reindexing.
+ Index index = new Index(indexFolder, settings, true);
+ }
+}
+```
+
+### 步骤 3：将文档添加到索引
+现在索引已经知道如何处理日志文件，您可以像处理其他文件类型一样 **将文档添加到索引**。
+
+```java
+import com.groupdocs.search.Index;
+
+public class AddDocumentsToIndexFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+ // Loading or creating an index in the specified directory.
+ Index index = new Index(indexFolder);
+
+ // Adding documents from the folder to the index.
+ index.add(documentsFolder);
+ }
+}
+```
+
+### 步骤 4：搜索索引
+使用纯文本查询执行搜索。自定义提取器确保日志内容可被搜索。
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.results.SearchResult;
+
+public class SearchDocumentsFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+
+ // Loading the existing index.
+ Index index = new Index(indexFolder);
+
+ // Define search queries
+ String query1 = "objection";
+ String query2 = "log";
+
+ // Performing searches and retrieving results.
+ SearchResult result1 = index.search(query1);
+ SearchResult result2 = index.search(query2);
+ }
+}
+```
+
+## 优化搜索性能的技巧
+
+- **增量索引** – 仅添加新建或已更改的日志文件，而不是重新索引整个文件夹。
+- **内存管理** – 使用 `autoReindex` 标志
+- **索引设置** – `IndexSettings`（例如 `setMaxMemoryUsage`）。
+- **查询优化** – 在搜索海量日志归档时使用短语查询或过滤器以缩小结果范围。
+
+## 实际应用
+
+GroupDocs.Search 可用于多种场景，包括：
+
+- **日志管理** – 在数 GB 的日志数据中快速定位错误信息、用户操作或特定时间戳。
+- **文档检索系统** – 在单一可搜索仓库中索引 PDF、Word 文档、电子表格和自定义日志文件。
+- **内容分析** – 对日志流进行关键词频率分析或异常检测。
+
+## 性能考虑
+
+使用 GroupDocs.Search 时，请牢记以下最佳实践：
+
+- 将索引位置放在高速 SSD 存储上，以加快读写速度。
+- 监控 JVM 堆使用情况；如有必要，考虑将大型索引卸载到独立进程。
+- 启用自动重新索引（如示例所示），使索引保持最新，无需手动干预。
+
+## 结论
+
+至此，您已经构建了 **日志文件提取器**，学习了如何 **将文档添加到索引**，并发现了针对大型日志归档的 **优化搜索性能** 方法。这一强大组合使您的 Java 应用能够在任何文档类型上提供快速、准确的全文搜索。
+
+欲深入了解，请查阅官方 [GroupDocs 文档](https://docs.groupdocs.com/search/java/)，或尝试不同的提取器实现以适配您的独特用例。
+
+## 常见问题
+1. **.Search 索引哪些文件类型？**
+ - 您可以索引多种文件类型，如 PDF、Word 文档、电子表格等，还可以通过文本提取器索引自定义格式。
+2. **如何高效处理大型文档集合？**
+ - 使用合适的索引策略，如增量更新或分区索引，以有效管理资源。
+3. **GroupDocs.Search 能否与其他系统集成？**
+ - 是的，它可以通过 API 集成到现有的 Java 应用和服务中，实现无缝的全文搜索功能。
+4. **什么是临时许可证，如何获取？**
+ - 临时许可证允许您在评估期间无限制使用软件。可通过 [GroupDocs 的网站](https://purchase.groupdocs.com/temporary-license/) 申请。
+
+## 常见问答
+
+**问：日志文件提取器与默认提取器有何区别？**
+答：默认提取器处理常见格式（PDF、DOCX 等）。自定义日志文件提取器让您精确定义纯文本日志条目的解析和索引方式。
+
+**问：我可以索引压缩的日志归档（如 .zip）吗？**
+答：可以，通过在将文件送入索引前添加解压的预处理步骤来实现。
+
+**问：如何在持续生成日志的情况下保持索引最新？**
+答：启用自动重新索引，并安排后台任务监视日志目录，在出现新文件时调用 `index.add(newLogFile是否有限制？**
+答：实际上，限制取决于可用内存。建议在索引前将超大模符搜索？**
+答：是的配，以提升结果相关性。
+
+---
+
+**最后更新：** 2026-02-03
+****作者：** GroupDocs
\ No newline at end of file
diff --git a/content/english/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md b/content/english/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
index 20872d2c..8dbb98cd 100644
--- a/content/english/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
+++ b/content/english/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
@@ -1,7 +1,7 @@
---
-title: "Master Full-Text Search in Java with GroupDocs: Implement Custom Text Extractors"
-description: "Learn how to implement full-text search in Java using GroupDocs.Search. Create custom text extractors, index documents efficiently, and optimize your application's document handling capabilities."
-date: "2025-05-20"
+title: "Master Full-Text Search in Java: Implement a Log File Extractor with GroupDocs"
+description: "Learn how to build a log file extractor for full-text search in Java using GroupDocs.Search. Add documents to index, optimize search performance, and handle large log files efficiently."
+date: "2026-02-03"
weight: 1
url: "/java/searching/java-full-text-search-groupdocs-custom-extractor/"
keywords:
@@ -10,18 +10,24 @@ keywords:
- GroupDocs.Search indexing
type: docs
---
-# Master Full-Text Search in Java: Implement Custom Text Extractors with GroupDocs
-Full-text search functionality is essential for applications that need to index and retrieve data from large document collections efficiently. This guide explores implementing full-text search using GroupDocs.Search for Java, focusing on creating an index with custom text extractors. By integrating this feature, you can customize the indexing process to suit your application's specific needs.
+# Master Full-Text Search in Java: Implement a Log File Extractor with GroupDocs
-## What You'll Learn
-- Set up and configure GroupDocs.Search for Java.
-- Implement a custom text extractor for tailored indexing.
-- Add documents to an index and perform searches efficiently.
-- Apply full-text search in real-world scenarios.
-- Optimize performance and memory management with GroupDocs.Search.
+Full‑text search functionality is essential for applications that need to index and retrieve data from large document collections efficiently. In this **log file extractor** tutorial you’ll discover how to configure GroupDocs.Search, create a custom extractor for log files, **add documents to index**, and **optimize search performance** when you need to **search large log files**.
-Ready to enhance your application's document handling capabilities? Let’s get started!
+## What You'll Learn
+- Set up and configure GroupDocs.Search for Java.
+- Implement a **log file extractor** for tailored indexing.
+- **Add documents to index** and perform fast searches.
+- Real‑world scenarios where a **log file extractor** shines.
+- Tips to **optimize search performance** for massive log archives.
+
+## Quick Answers
+- **What is a log file extractor?** A custom component that tells GroupDocs.Search how to read and index plain‑text log files.
+- **Why use GroupDocs.Search?** It provides out‑of‑the‑box indexing, auto‑reindexing, and powerful query capabilities.
+- **Do I need a license?** Yes – a trial or full license is required to enable the library.
+- **Can I index other file types simultaneously?** Absolutely; you can mix PDFs, DOCX, and custom log files in the same index.
+- **How to improve performance?** Use incremental indexing, proper index settings, and limit memory usage with auto‑reindexing.
## Prerequisites
@@ -51,8 +57,8 @@ Ensure you are using the correct version of GroupDocs.Search for Java by adding
Alternatively, download the latest version directly from [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
### Environment Setup
-- Ensure your development environment is set up with JDK 8 or higher.
-- Familiarity with Java programming and file handling concepts will be beneficial.
+- JDK 8 or higher.
+- Familiarity with Java programming and file handling concepts.
### License Acquisition
Start by downloading a free trial license to explore GroupDocs.Search features. For extended use, consider purchasing a full license or applying for a temporary one through [GroupDocs's website](https://purchase.groupdocs.com/temporary-license/).
@@ -61,29 +67,25 @@ Start by downloading a free trial license to explore GroupDocs.Search features.
To begin with GroupDocs.Search, initialize and configure it within your application:
-1. **Maven Setup**: Ensure the Maven configuration is correctly added to your `pom.xml` as shown above.
-2. **License Initialization**:
- - If using a trial or temporary license, load it before creating an index:
- ```java
- License license = new License();
- license.setLicense("path/to/license");
- ```
-
-With the setup complete, let's move into implementing our custom text extractor.
+1. **Maven Setup**: Ensure the Maven configuration is correctly added to your `pom.xml` as shown above.
+2. **License Initialization**:
+ ```java
+ License license = new License();
+ license.setLicense("path/to/license");
+ ```
-## Implementation Guide
+With the setup complete, let's move into implementing our custom **log file extractor**.
-### Create Index with Custom Text Extractor
+## What Is a Log File Extractor?
-GroupDocs.Search allows you to create indexes tailored for specific file types using custom text extractors. Here’s how you can implement a custom text extractor:
+A **log file extractor** is a piece of code that tells GroupDocs.Search how to read raw log files (usually `.log`) and turn their contents into searchable text. By providing your own extractor you gain full control over parsing rules, filtering noise, and extracting only the information that matters to your search use‑case.
-#### Overview
-This feature lets you define how text is extracted from your documents, offering flexibility beyond default extraction capabilities.
+## Create a Log File Extractor
-#### Steps to Implement
+GroupDocs.Search allows you to create indexes tailored for specific file types using custom text extractors. Here’s a step‑by‑step guide.
-**Step 1: Define Custom Text Extractor**
-Create a class that extends `TextExtractorBase`. This allows you to specify file types and the logic for extracting text.
+### Step 1: Define the Custom Extractor
+Create a class that extends `TextExtractorBase`. This class declares the file extensions it handles and contains the extraction logic.
```java
import com.groupdocs.search.extractors.TextExtractorBase;
@@ -102,8 +104,12 @@ public class LogExtractor extends TextExtractorBase {
}
```
-**Step 2: Configure Index Settings**
-Add the custom extractor to your index settings:
+**Key points**
+- `getFileExtensions()` tells GroupDocs.Search to use this extractor for `.log` files.
+- `extractText` is where you can strip timestamps, filter out debug lines, or apply any preprocessing needed for **search large log files**.
+
+### Step 2: Configure Index Settings with the Extractor
+Add the extractor to the index configuration and enable auto‑reindexing so new logs are indexed automatically.
```java
import com.groupdocs.search.Index;
@@ -123,12 +129,8 @@ public class CustomTextExtractorFeature {
}
```
-**Key Points:**
-- `getFileExtensions()` specifies which file types the extractor applies to.
-- `extractText(String documentContent)` contains your logic for processing documents of that type.
-
-### Add Documents to Index
-After setting up your custom text extractor, add documents to the index:
+### Step 3: Add Documents to the Index
+Now that the index knows how to handle log files, you can **add documents to index** just like any other file type.
```java
import com.groupdocs.search.Index;
@@ -147,8 +149,8 @@ public class AddDocumentsToIndexFeature {
}
```
-### Search Documents in Index
-With your documents indexed, perform searches using specific queries:
+### Step 4: Search the Index
+Perform searches using plain text queries. The custom extractor ensures log content is searchable.
```java
import com.groupdocs.search.Index;
@@ -172,28 +174,64 @@ public class SearchDocumentsFeature {
}
```
+## Tips to Optimize Search Performance
+
+- **Incremental Indexing** – Add only new or changed log files instead of re‑indexing the whole folder.
+- **Memory Management** – Use the `autoReindex` flag (as shown in the index constructor) to keep memory usage low.
+- **Index Settings** – Tune `IndexSettings` (e.g., `setMaxMemoryUsage`) based on your server’s resources.
+- **Query Optimization** – Use phrase queries or filters to narrow results when searching massive log archives.
+
## Practical Applications
+
GroupDocs.Search can be applied in various scenarios, including:
-- **Log Management**: Efficiently search through vast log files to identify errors or specific events.
-- **Document Retrieval Systems**: Quickly locate documents within large repositories based on content.
-- **Content Analysis**: Analyze text data for patterns or anomalies.
+
+- **Log Management** – Quickly locate error messages, user actions, or specific timestamps across gigabytes of log data.
+- **Document Retrieval Systems** – Index PDFs, Word docs, spreadsheets, and custom log files in a single searchable repository.
+- **Content Analysis** – Run keyword frequency analysis or detect anomalies in log streams.
## Performance Considerations
-When using GroupDocs.Search, consider these tips to optimize performance:
-- Use appropriate index settings tailored to your file types and storage capabilities.
-- Regularly monitor and manage memory usage, especially when dealing with large datasets.
-- Leverage auto-reindexing features to keep your search data up-to-date without manual intervention.
+
+When using GroupDocs.Search, keep these best practices in mind:
+
+- Choose index locations on fast SSD storage for quicker reads/writes.
+- Monitor JVM heap usage; consider off‑loading large indexes to a separate process if needed.
+- Enable auto‑reindexing (as shown) to keep the index up‑to‑date without manual intervention.
## Conclusion
-By now, you should have a solid understanding of how to implement GroupDocs.Search for Java with custom text extractors. This powerful tool enhances your application's capability to handle and retrieve document data efficiently. For further exploration, delve into the [GroupDocs documentation](https://docs.groupdocs.com/search/java/) or experiment with different configurations to suit your needs.
+
+By now you’ve built a **log file extractor**, learned how to **add documents to index**, and discovered ways to **optimize search performance** for large log archives. This powerful combination lets your Java applications provide fast, accurate full‑text search across any document type.
+
+For deeper exploration, check the official [GroupDocs documentation](https://docs.groupdocs.com/search/java/) or experiment with different extractor implementations to fit your unique use case.
## FAQ Section
-1. **What file types can I index using GroupDocs.Search?**
- - You can index various file types such as PDFs, Word documents, spreadsheets, and more, including custom formats via text extractors.
-2. **How do I handle large document collections efficiently?**
- - Use appropriate indexing strategies, such as incremental updates or partitioning indexes, to manage resources effectively.
-3. **Can GroupDocs.Search be integrated with other systems?**
- - Yes, it can be integrated into existing Java applications and services via APIs, enabling seamless full-text search capabilities.
-4. **What is a temporary license, and how do I acquire one?**
+1. **What file types can I index using GroupDocs.Search?**
+ - You can index various file types such as PDFs, Word documents, spreadsheets, and more, including custom formats via text extractors.
+2. **How do I handle large document collections efficiently?**
+ - Use appropriate indexing strategies, such as incremental updates or partitioning indexes, to manage resources effectively.
+3. **Can GroupDocs.Search be integrated with other systems?**
+ - Yes, it can be integrated into existing Java applications and services via APIs, enabling seamless full‑text search capabilities.
+4. **What is a temporary license, and how do I acquire one?**
- A temporary license allows you to use the software without limitations for evaluation purposes. Apply through [GroupDocs’s website](https://purchase.groupdocs.com/temporary-license/).
+## Frequently Asked Questions
+
+**Q: How does a log file extractor differ from the default extractor?**
+A: The default extractor handles common formats (PDF, DOCX, etc.). A custom log file extractor lets you define exactly how plain‑text log entries are parsed and indexed.
+
+**Q: Can I index compressed log archives (e.g., .zip)?**
+A: Yes, by adding a pre‑processing step that extracts files from the archive before feeding them to the index.
+
+**Q: What’s the best way to keep the index up‑to‑date with continuously generated logs?**
+A: Enable auto‑reindexing and schedule a background job that watches the log directory and calls `index.add(newLogFile)` whenever a new file appears.
+
+**Q: Is there a limit to the size of a single log file that can be indexed?**
+A: Practically, the limit is bound by available memory. Splitting very large logs into smaller chunks before indexing is recommended.
+
+**Q: Does GroupDocs.Search support fuzzy or wildcard searches?**
+A: Yes, the search API includes options for fuzzy matching, wildcards, and proximity queries to improve result relevance.
+
+---
+
+**Last Updated:** 2026-02-03
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/english/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md b/content/english/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
index 4df69078..73ecb77e 100644
--- a/content/english/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
+++ b/content/english/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
@@ -1,7 +1,7 @@
---
-title: "Master Case-Insensitive Search in Java Using GroupDocs.Search: A Comprehensive Guide"
-description: "Learn how to perform efficient, case-insensitive searches in Java with GroupDocs.Search. Master character replacement during indexing for seamless search functionality."
-date: "2025-05-20"
+title: "Add Documents to Index for Case-Insensitive Search in Java"
+description: "Learn how to add documents to index and perform efficient case‑insensitive searches in Java with GroupDocs.Search, using character replacement during indexing."
+date: "2026-02-03"
weight: 1
url: "/java/searching/master-case-insensitive-search-java-groupdocs-search/"
keywords:
@@ -10,35 +10,34 @@ keywords:
- GroupDocs.Search setup
type: docs
---
-# Mastering Case-Insensitive Search in Java with GroupDocs.Search
-## Introduction
+# Add Documents to Index for Case‑Insensitive Search in Java
-Struggling with case-sensitive search inconsistencies when managing documents? Whether you're handling a promotion campaign or maintaining a product catalog, ensuring efficient and intuitive search functionality is crucial. This tutorial guides you through using GroupDocs.Search for Java to enable character replacement during the indexing process—allowing consistent, case-insensitive searches effortlessly.
+When you need to **add documents to index** and guarantee that users can find what they’re looking for regardless of letter case, a case‑insensitive search is essential. In this guide we’ll walk through configuring GroupDocs.Search for Java so that every document you add to the index is normalized during indexing, giving you reliable, case‑insensitive results every time.
-**What You'll Learn:**
-- How to set up and configure GroupDocs.Search for Java.
-- Techniques for enabling character replacements in index settings.
-- Steps to configure lowercase transformations.
-- Performing case-sensitive searches on indexed documents.
-- Real-world applications of these features.
+## Quick Answers
+- **What does “add documents to index” mean?** It means feeding your source files into a searchable index so they can be queried later.
+- **Why use character replacement?** It normalizes text (e.g., forces everything to lower‑case) so searches ignore case differences.
+- **Do I need a license?** A free trial works for development; a full license is required for production.
+- **Which Java version is required?** Java 8 or newer; the library targets Java 11+ for best compatibility.
+- **Can I search case‑sensitively if needed?** Yes—search options let you toggle case‑sensitive behavior per query.
-Now, let's dive into the prerequisites you need before we begin!
+## What is “add documents to index” in GroupDocs.Search?
+Adding documents to an index means loading files (PDFs, Word docs, plain text, etc.) into a data structure that GroupDocs.Search can query. The library parses each file, extracts searchable text, and stores it in a way that makes look‑ups fast and efficient.
-## Prerequisites
+## Why enable character replacement during indexing?
+Character replacement transforms every character to a predefined equivalent—commonly lower‑case—while the index is being built. This ensures that a query like **“Promotion”** matches **“promotion”**, **“PROMOTION”**, or any mixed‑case variant without extra effort from the caller.
-Before starting with GroupDocs.Search for Java, ensure you have:
-- **Libraries and Dependencies**: Use version 25.4 or later of GroupDocs.Search.
-- **Environment Setup**: Install a Java Development Kit (JDK) on your system.
-- **Knowledge Requirements**: Basic familiarity with Java programming and the Maven build tool is beneficial.
+## Prerequisites
+- **GroupDocs.Search for Java** version 25.4 or newer.
+- **Java Development Kit (JDK)** 8 or later installed.
+- Basic familiarity with **Maven** (or ability to add JARs manually).
## Setting Up GroupDocs.Search for Java
-To get started, install the necessary libraries using Maven or direct download:
-
-**Maven Setup**
+### Maven Setup
+Add the GroupDocs repository and dependency to your `pom.xml`:
-Add this configuration to your `pom.xml` file:
```xml
@@ -56,17 +55,18 @@ Add this configuration to your `pom.xml` file:
```
-**Direct Download**
-Alternatively, download the latest version from [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Direct Download
+If you prefer not to use Maven, grab the latest JAR from the official site: [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
### License Acquisition
-To start with GroupDocs.Search:
-- **Free Trial**: Download a trial version.
-- **Temporary License**: Apply for an extended testing license on their website.
-- **Purchase**: Buy the full license if ready to deploy.
+- **Free Trial** – download a trial license to start experimenting.
+- **Temporary License** – request an extended testing license from the GroupDocs portal.
+- **Full License** – purchase a production license when you’re ready to go live.
+
+### Basic Initialization (Create the index)
+The following snippet creates an index folder and enables character replacements:
-**Basic Initialization**
-Here's how to initialize and set up GroupDocs.Search:
```java
import com.groupdocs.search.Index;
import com.groupdocs.search.IndexSettings;
@@ -76,12 +76,13 @@ IndexSettings settings = new IndexSettings();
settings.setUseCharacterReplacements(true);
Index index = new Index(indexFolder, settings);
```
+
## Implementation Guide
### Enable Character Replacement in Index Settings
-This feature allows you to replace characters during the indexing process, useful for transforming text into a consistent case format.
+Activating this feature tells the engine to replace characters while indexing, which is the core step for case‑insensitive behavior.
-#### Step 1: Configure IndexSettings
+#### Step 1: Configure `IndexSettings`
```java
import com.groupdocs.search.Index;
import com.groupdocs.search.IndexSettings;
@@ -95,10 +96,11 @@ settings.setUseCharacterReplacements(true);
// Initialize the index with these settings.
Index index = new Index(indexFolder, settings);
```
+
### Configure Character Replacements
-You can map each character to its lowercase equivalent during indexing.
+Map each character to its lower‑case counterpart (or any custom mapping you need).
-#### Step 2: Define and Add Character Replacement Pairs
+#### Step 2: Define and Add Replacement Pairs
```java
import com.groupdocs.search.dictionaries.CharacterReplacementPair;
@@ -116,8 +118,9 @@ for (int i = 0; i < characterReplacements.length; i++) {
// Add these replacements to the index's dictionary.
index.getDictionaries().getCharacterReplacements().addRange(characterReplacements);
```
+
### Indexing Documents
-Index documents from a specified folder with customized settings.
+Now that the index is ready, you can **add documents to index** from any folder.
#### Step 3: Add Documents for Indexing
```java
@@ -129,10 +132,11 @@ String documentFolder = "YOUR_DOCUMENT_DIRECTORY";
Index index = new Index(indexFolder, settings);
index.add(documentFolder);
```
-### Perform Case-Sensitive Search
-Execute a case-sensitive search in an index with character replacements configured.
-#### Step 4: Execute Case-Sensitive Searches
+### Perform Case‑Sensitive Search (Optional)
+If a particular query must respect case, you can toggle it per request.
+
+#### Step 4: Execute Case‑Sensitive Searches
```java
import com.groupdocs.search.Index;
import com.groupdocs.search.SearchOptions;
@@ -146,31 +150,40 @@ options.setUseCaseSensitiveSearch(true);
Index index = new Index(indexFolder, settings);
SearchResult result = index.search(query, options);
```
+
## Practical Applications
-1. **Marketing Campaigns**: Standardize product names for promotional material searches.
-2. **Customer Support Systems**: Enhance search capabilities in helpdesk software by making queries case-insensitive.
-3. **E-commerce Platforms**: Improve catalog search experiences by normalizing item descriptions and tags.
-These examples illustrate how character replacement can be seamlessly integrated into existing systems to enhance functionality and user experience.
+1. **Marketing Campaigns** – Normalize product names so sales teams can locate assets without worrying about case.
+2. **Customer Support** – Power help‑desk search boxes that return the right article whether the user types “login” or “Login”.
+3. **E‑commerce Catalogs** – Ensure shoppers find items regardless of how they type product titles.
## Performance Considerations
-- **Optimize Indexing**: Ensure your document directory is well-organized to reduce indexing time.
-- **Memory Management**: Monitor and manage memory usage, especially with large datasets.
-- **Best Practices**: Use asynchronous methods for indexing if supported to improve application responsiveness.
-
-## Conclusion
-By now, you should have a solid understanding of how to enable character replacement in GroupDocs.Search for Java. This feature not only simplifies search consistency but also enhances the overall user experience by making searches more intuitive and efficient. As next steps, consider exploring additional features offered by GroupDocs.Search to further optimize your document management solutions.
-
-## FAQ Section
-1. **How do I handle special characters during indexing?**
- - Include them in your character replacement mappings for correct indexing.
-2. **Can I configure replacements for specific languages only?**
- - Yes, define replacements based on the language set of your documents.
-3. **What if my index takes too long to load?**
- - Optimize your document folder and use efficient memory management practices.
-4. **Is it possible to revert character replacements after indexing?**
- - Reverting changes requires re-indexing with new settings, as replacements are built into the indexed data.
-5. **How do I troubleshoot issues during setup?**
- - Ensure correct dependency versions in your Maven configuration and verify all paths are specified correctly.
+- **Organize Source Files** – A tidy folder hierarchy speeds up the **add documents to index** step.
+- **Monitor Memory** – Large corpora can consume significant RAM; consider incremental indexing or batch processing.
+- **Asynchronous Indexing** – If your version of GroupDocs.Search supports it, run indexing on a background thread to keep the UI responsive.
+
+## Common Issues & Troubleshooting
+| Symptom | Likely Cause | Fix |
+|---------|--------------|-----|
+| No results returned for a known term | Character replacements not enabled | Verify `settings.setUseCharacterReplacements(true)` and that replacements were added. |
+| Out‑of‑memory error during indexing | Indexing too many large files at once | Index in smaller batches or increase JVM heap (`-Xmx`). |
+| Search returns case‑sensitive results unexpectedly | `SearchOptions.setUseCaseSensitiveSearch(true)` was set | Remove or set to `false` for default case‑insensitive behavior. |
+
+## Frequently Asked Questions
+
+**Q: How do I handle special characters (e.g., “é”, “ß”) during indexing?**
+A: Include those characters in your replacement map. You can map them to their ASCII equivalents or keep them unchanged, depending on your search requirements.
+
+**Q: Can I limit character replacement to a specific language?**
+A: Yes. Build a custom replacement array that only contains characters for the target language before adding it to the dictionary.
+
+**Q: What should I do if the index takes a long time to load?**
+A: Optimize the folder structure, remove unnecessary files, and consider persisting the index on fast SSD storage.
+
+**Q: Is it possible to revert the character replacements after indexing?**
+A: No. Replacements are baked into the indexed data; you must rebuild the index with new settings to change them.
+
+**Q: Where can I find more detailed API documentation?**
+A: The official docs and API reference provide exhaustive details (see Resources below).
## Resources
- [Documentation](https://docs.groupdocs.com/search/java/)
@@ -180,4 +193,10 @@ By now, you should have a solid understanding of how to enable character replace
- [Free Support Forum](https://forum.groupdocs.com/c/search/10)
- [Temporary License Information](https://purchase.groupdocs.com/temporary-license/)
-By following this guide, you're now equipped to implement efficient case-insensitive searches in Java with GroupDocs.Search.
+---
+
+**Last Updated:** 2026-02-03
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
+
+---
\ No newline at end of file
diff --git a/content/italian/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md b/content/italian/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
new file mode 100644
index 00000000..7cdb95b3
--- /dev/null
+++ b/content/italian/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
@@ -0,0 +1,199 @@
+---
+date: '2026-02-03'
+description: Scopri come aggiungere documenti all'indice ed eseguire ricerche efficienti
+ senza distinzione tra maiuscole e minuscole in Java con GroupDocs.Search, utilizzando
+ la sostituzione dei caratteri durante l'indicizzazione.
+keywords:
+- case-insensitive search in Java
+- character replacement during indexing
+- GroupDocs.Search setup
+title: Aggiungi documenti all'indice per la ricerca senza distinzione tra maiuscole
+ e minuscole in Java
+type: docs
+url: /it/java/searching/master-case-insensitive-search-java-groupdocs-search/
+weight: 1
+---
+
+# Aggiungere Documenti all'Indice percolo in Java
+
+Quando è necessario **aggiungere documenti all'indice** e garantire che gli utenti possano trovare ciò che cercano indipendentemente dal caso delle lettere, una ricerca non sensibile al mai è essenziale. In questa guida vedremo comeizzato affidabili e non sensibili al caso ogni volta.
+
+ “aggiungere documenti all'indice”?** Significa inserire i tuoi file sorgente in un indice ricercabile affinché possano essere interrogati in seguito.
+- **Perché utilizzare la sostituzione dei caratteri?** Normalizza il testo (ad esempio forzando tutto in minuscolo) così le ricerche ignorano le differenze di caso.
+- **È necessaria una licenza?** Una prova gratuita è sufficiente per lo sviluppo; è richiesta una licenza completa per la produzione.
+- **Quale versione di Java è richiesta?** Java 8 o superiore; la libreria è ottimizzata per Java 11+ per la massima compatibilità.
+- **Posso eseguire ricerche sensibili al caso se necessario?** Sì—le opzioni di ricerca consentono di attivare il comportamento sensibile al caso per ogni query.
+
+## Che cosa significa “aggiungere documenti all'indice” in GroupDocs.Search?
+Aggiungere documenti a un indice significa caricare file (PDF, documenti Word, testo semplice, ecc.) in una struttura dati che GroupDocs.Search può interrogare. La libreria analizza ogni file, estrae il testo ricercabile e lo memorizza in modo da rendere le ricerche rapide ed efficienti.
+
+## Perché abilitare la sostituzione dei caratteri durante l'indicizzazione?
+La sostituzione dei caratteri trasforma ogni carattere in un equivalente predefinito—di solito minuscolo—mentre l'indice viene costruito. Questo garantisce che una query come **“Promotion”** corrisponda a **“promotion”**, **“PROMOTION”** o a qualsiasi variante mista senza ulteriori sforzi da parte dell'utente.
+
+## Prerequisiti
+- **GroupDocs.Search per Java** versione 25.4 o più recente.
+- **Java Development Kit (JDK)** 8 o successivo installato.
+- Familiarità di base con **Maven** (o capacità di aggiungere manualmente i JAR).
+
+## Configurazione di GroupDocs.Search per Java
+
+### Configurazione Maven
+Aggiungi il repository GroupDocs e la dipendenza al tuo `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Download Diretto
+Se preferisci non usare Maven, scarica l'ultimo JAR dal sito ufficiale: [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Acquisizione della Licenza
+- **Prova Gratuita** – scarica una licenza di prova per iniziare a sperimentare.
+- **Licenza Temporanea** – richiedi una licenza di test estesa dal portale GroupDocs.
+- **Licenza Completa** – acquista una licenza di produzione quando sei pronto per il rilascio.
+
+### Inizializzazione di Base (Creare l'indice)
+Il frammento seguente crea una cartella per l'indice e abilita le sostituzioni dei caratteri:
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Indexing/CharacterReplacementDuringIndexing";
+IndexSettings settings = new IndexSettings();
+settings.setUseCharacterReplacements(true);
+Index index = new Index(indexFolder, settings);
+```
+
+## Guida all'Implementazione
+
+### Abilitare la Sostituzione dei Caratteri nelle Impostazioni dell'Indice
+Attivare questa funzionalità indica al motore di sostituire i caratteri durante l'indicizzazione, passo fondamentale per il comportamento non sensibile al caso.
+
+#### Passo 1: Configurare `IndexSettings`
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Indexing/CharacterReplacementDuringIndexing";
+
+// Create an instance of IndexSettings and enable character replacement.
+IndexSettings settings = new IndexSettings();
+settings.setUseCharacterReplacements(true);
+
+// Initialize the index with these settings.
+Index index = new Index(indexFolder, settings);
+```
+
+### Configurare le Sostituzioni dei Caratteri
+Mappa ogni carattere al suo equivalente minuscolo (o a qualsiasi mappatura personalizzata necessaria).
+
+#### Passo 2: Definire e Aggiungere le Coppie di Sostituzione
+```java
+import com.groupdocs.search.dictionaries.CharacterReplacementPair;
+
+// Access existing replacements and clear them.
+index.getDictionaries().getCharacterReplacements().clear();
+
+// Create an array for new replacements.
+CharacterReplacementPair[] characterReplacements = new CharacterReplacementPair[Character.MAX_VALUE + 1];
+for (int i = 0; i < characterReplacements.length; i++) {
+ char originalChar = (char) i;
+ char replacementChar = Character.toLowerCase(originalChar);
+ characterReplacements[i] = new CharacterReplacementPair(originalChar, replacementChar);
+}
+
+// Add these replacements to the index's dictionary.
+index.getDictionaries().getCharacterReplacements().addRange(characterReplacements);
+```
+
+### Indicizzare i Documenti
+Ora che l'indice è pronto, puoi **aggiungere documenti all'indice** da qualsiasi cartella.
+
+#### Passo 3: Aggiungere Documenti per l'Indicizzazione
+```java
+import com.groupdocs.search.Index;
+
+String documentFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Initialize the index and add documents.
+Index index = new Index(indexFolder, settings);
+index.add(documentFolder);
+```
+
+### Eseguire Ricer caso, puoi attivare questa opzione per richiesta.
+
+#### Passo 4: Eseguire Ricerche Sensibili al Caso
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.SearchOptions;
+import com.groupdocs.search.results.SearchResult;
+
+String query = "Promotion";
+SearchOptions options = new SearchOptions();
+options.setUseCaseSensitiveSearch(true);
+
+// Perform the search.
+Index index = new Index(indexFolder, settings);
+SearchResult result = index.search(query, options);
+```
+
+## Applicazioni Pratiche
+1. **Campagne di Marketing** – Normalizza i nomi dei prodotti affinché i team di vendita possano trovare le risorse senza preoccuparsi del caso.
+2. **Assistenza Clienti** – Alimenta le caselle di ricerca del help‑desk che restituiscono l'articolo corretto sia che l'utente digiti “login” o “Login”.
+3. **Cataloghi E‑commerce** – Garantenti trovino gli articoli indipazioni sulle Prestazioni
+- **Organizzare i File Sorgente** – Una gerarchia di cartelle ordinata velocizza il passo **aggiungere documenti all'indice**.
+- **Monitorare la Memoria** – Corpora di grandi dimensioni possono consumare molta RAM; considera l'indicizzazione incrementale o il processamento a batch.
+- **Indicizzazione Asincrona** – Se la tua versione di GroupDocs.Search lo supporta, esegui l'indicizzazione in un thread di background per mantenere l'interfaccia reattiva.
+
+## Problemi Comuni e Risoluzione
+| Sintomo | Causa Probabile | Soluzione |
+|---------|-----------------|-----------|
+| Nessun risultato restituito per un termine noto | Sostituzioni dei caratteri non abilitate | Verifica `settings.setUseCharacterReplacements(true)` e che le sostituzioni siano state aggiunte. |
+| Errore di out‑of‑memory durante l'indicizzazione | Indicizzazione di troppi file di grandi dimensioni contemporaneamente | Indicizza in batch più piccoli o aumenta l'heap JVM (`-Xmx`). |
+| La ricerca restituisce risultati sensibili al caso in modo inatteso | È stato impostato `SearchOptions.setUseCaseSensitiveSearch(true)` | Rimuovi o imposta a `false` per il comportamento predefinito non sensibile al caso. |
+
+## Domande Frequenti
+
+**D: Come gestisco i caratteri speciali (ad es. “é”, “ß”) durante l'indicizzazione?**
+R: Includi quei caratteri nella tua mappa di sostituzione. Puoi mappare a equivalenti ASCII o mantenerli invariati, a seconda dei requisiti di ricerca.
+
+**D: Posso limitare la sostituzione dei caratteri a una lingua specifica?**
+R: Sì. Crea un array di sostituzione personalizzato che contenga solo i caratteri della lingua target prima di aggiungerlo al dizionario.
+
+**D: Cosa fare se l'indice impiega molto tempo a caricarsi?**
+R: Ottimizza la struttura delle cartelle, rimuovi i file non necessari e considera di persistere l'indice su un SSD veloce.
+
+**D: È possibile annullare le sostituzioni dei caratteri dopo l'indicizzazione?**
+R: No. Le sostituzioni sono incorporate nei dati indicizzati; è necessario ricostruire l'indice con nuove impostazioni per modificarle.
+
+**D: Dove posso trovare una documentazione API più dettagliata?**
+R: La documentazione ufficiale e il riferimento API forniscono dettagli esaustivi (vedi Risorse sotto).
+
+## Risorse
+- [Documentation](https://docs.groupdocs.com/search/java/)
+- [API Reference](https://reference.groupdocs.com/search/java)
+- [Download GroupDocs.Search](https://releases.groupdocs.com/search/java/)
+- [GitHub Repository](https://github.com/groupdocs-search/GroupDocs.Search-for-Java)
+- [Free Support Forum](https://forum.groupdocs.com/c/search/10)
+- [Temporary License Information](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Ultimo Aggiornamento:** 2026-02-03
+**Testato Con:** GroupDocs.Search 25.4 per Java
+**Autore:** GroupDocs
\ No newline at end of file
diff --git a/content/korean/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md b/content/korean/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
new file mode 100644
index 00000000..1428d053
--- /dev/null
+++ b/content/korean/java/searching/master-case-insensitive-search-java-groupdocs-search/_index.md
@@ -0,0 +1,190 @@
+---
+date: '2026-02-03'
+description: GroupDocs.Search를 사용하여 Java에서 문서를 인덱스에 추가하고 인덱싱 중 문자 교체를 활용해 효율적인 대소문자
+ 구분 없는 검색을 수행하는 방법을 배워보세요.
+keywords:
+- case-insensitive search in Java
+- character replacement during indexing
+- GroupDocs.Search setup
+title: Java에서 대소문자 구분 없는 검색을 위해 문서를 인덱스에 추가하기
+type: docs
+url: /ko/java/searching/master-case-insensitive-search-java-groupdocs-search/
+weight: 1
+---
+
+스에 정보를 for Java번 신뢰할 수 있는 대소문자 구분 없는 결과를 제공하는 방법을 단계별로 안내합니다.
+
+## Quick Answers
+- **“add documents to index”가 의미하는 것은?** 소스 파일을 검색 가능한 인덱스로 넣어 나중에 쿼리할 수 있게 하는 것을 의미합니다.
+- **문자 교체를 사용하는 이유는?** 텍스트를 정규화(예: 모두 소문자로 변환)하여 검색 시 대소문자 차이를 무시하게 합니다.
+- **라이선스가 필요합니까?** 개발 단계에서는 무료 체험판으로 충분하며, 운영 환경에서는 정식 라이선스가 필요합니다.
+- **필요한 Java 버전은?** Java 8 이상; 최적 호환성을 위해 라이브러리는 Java 11+을 권장합니다.
+- **필요에 따라 대소문자 구분 검색을 할 수 있나요?** 예—검색 옵션을 통해 쿼리별로 대소문자 구분 동작을 토글할 수 있습니다.
+
+## GroupDocs.Search에서 “add documents to index”란?
+문서를 인덱스에 추가한다는 것은 파일(PDF, Word 문서, 일반 텍스트 등)을 GroupDocs.Search가 조회할 수 있는 데이터 구조에 로드하는 것을 의미합니다. 라이브러리는 각 파일을 파싱하고 검색 가능한 텍스트를 추출한 뒤, 빠르고 효율적인 조회가 가능하도록 저장합니다.
+
+## 인덱싱 중 문자 교체를 활성화하는 이유
+문자 교체는 인덱스를 구축하는 동안 모든 문자를 미리 정의된 동등 문자(보통 소문자)로 변환합니다. 이를 통해 **“Promotion”** 같은 쿼리가 **“promotion”**, **“PROMOTION”**, 혹은 혼합 대소문자 형태와도 별도 작업 없이 매치됩니다.
+
+## Prerequisites
+- **GroupDocs.Search for Java** 버전 25.4 이상.
+- **Java Development Kit (JDK)** 8 이상 설치.
+- **Maven**에 대한 기본 지식(또는 JAR를 수동으로 추가할 수 있는 능력).
+
+## Setting Up GroupDocs.Search for Java
+
+### Maven Setup
+pom.xml`에 GroupDocs 저장소와 의존성을 추가합니다:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direct Download
+Maven을 사용하지 않으려면 공식 사이트에서 최신 JAR를 다운로드하세요: [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### License Acquisition
+- **Free Trial** – 체험용 라이선스를 다운로드하여 실험을 시작합니다.
+- **Temporary License** – GroupDocs 포털에서 연장 테스트 라이선스를 요청합니다.
+- **Full License** – 운영 환경에 진입할 준비가 되면 정식 라이선스를 구매합니다.
+
+### Basic Initialization (Create the index)
+다음 스니펫은 인덱스 폴더를 생성하고 문자 교체를 활성화합니다:
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Indexing/CharacterReplacementDuringIndexing";
+IndexSettings settings = new IndexSettings();
+settings.setUseCharacterReplacements(true);
+Index index = new Index(indexFolder, settings);
+```
+
+## Implementation Guide
+
+### Enable Character Replacement in Index Settings
+이 기능을 활성화하면 인며: Configure `IndexSettings`
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Indexing/CharacterReplacementDuringIndexing";
+
+// Create an instance of IndexSettings and enable character replacement.
+IndexSettings settings = new IndexSettings();
+settings.setUseCharacterReplacements(true);
+
+// Initialize the index with these settings.
+Index index = new Index(indexFolder, settings);
+```
+
+### Configure Character Replacements
+각 문자를 소문자 대응 문자(또는 필요에 따라 사용자 정의 매핑)로 매핑합니다.
+
+#### Step 2: Define and Add Replacement Pairs
+```java
+import com.groupdocs.search.dictionaries.CharacterReplacementPair;
+
+// Access existing replacements and clear them.
+index.getDictionaries().getCharacterReplacements().clear();
+
+// Create an array for new replacements.
+CharacterReplacementPair[] characterReplacements = new CharacterReplacementPair[Character.MAX_VALUE + 1];
+for (int i = 0; i < characterReplacements.length; i++) {
+ char originalChar = (char) i;
+ char replacementChar = Character.toLowerCase(originalChar);
+ characterReplacements[i] = new CharacterReplacementPair(originalChar, replacementChar);
+}
+
+// Add these replacements to the index's dictionary.
+index.getDictionaries().getCharacterReplacements().addRange(characterReplacements);
+```
+
+### Indexing Documents
+인덱스가 준비되었으니 이제 **add documents to index**를 통해任意 폴더의 파일을 추가할 수 있습니다.
+
+#### Step 3: Add Documents for Indexing
+```java
+import com.groupdocs.search.Index;
+
+String documentFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Initialize the index and add documents.
+Index index = new Index(indexFolder, settings);
+index.add(documentFolder);
+```
+
+### Perform Case‑Sensitive Search (Optional)
+특정 쿼리에서 대소문자를 구분해야 할 경우, 요청별로 토글할 수 있습니다.
+
+#### Step 4: Execute Case‑Sensitive Searches
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.SearchOptions;
+import com.groupdocs.search.results.SearchResult;
+
+String query = "Promotion";
+SearchOptions options = new SearchOptions();
+options.setUseCaseSensitiveSearch(true);
+
+// Perform the search.
+Index index = new Index(indexFolder, settings);
+SearchResult result = index.search(query, options);
+```
+
+## Practical Applications
+1. **Marketing Campaigns** – 제품명을 정규화하여 영업팀이 대소문자에 신경 쓰지 않고 자산을 찾을 수 있게 합니다.
+2. **Customer Support** – 사용자가 “login”이나 “Login”을 입력해도 올바른 문서를 반환하는 헬프데스크 검색 박스를 구현합니다.
+3. **E‑commerce Catalogs** – 쇼핑객이 제품 제목을 어떻게 입력하든 원하는 아이템을 찾을 수 있도록 보장합니다.
+
+## Performance Considerations
+- **Organize Source Files** – 깔끔한 폴더 구조는 **add documents to index** 단계의 속도를 높입니다.
+- **Monitor Memory** – 대용량 데이터는 많은 RAM 배- **Asynchronous드| Symptom | Likely Cause | Fix |
+|---------|--------------|-----|
+| 알려진 용어에 대해 결과가 반환되지 않음 | 문자 교체가 활성화되지 않음 | `settings.setUseCharacterReplacements(true)`와 교체 항목이 추가‑memory싱덱싱하거나 JVM 힙(`-Xmx`)을 늘림 |
+| 검색 결과가 예상치 않게 대 해당 Asked Questions
+
+**Q: 인덱싱 중 특수 문자(예: “é”, “ß”)는 어떻게 처리하나요?**
+A: 교체 맵에 해당 문자를 포함시킵니다. 검색 요구사항에 따라 ASCII 등가 문자로 매핑하거나 그대로 유지할 수 있습니다.
+
+**Q: 문자 교체를 특정 언어에만 제한할 수 있나요?**
+A: 예. 대상 언어에 해당하는 문자만 포함한 사용자 정의 교체 배열을 만든 뒤 사전에 추가하면 됩니다.
+
+**Q: 인덱스 로드 시간이 오래 걸리면 어떻게 해야 하나요?**
+A: 폴더 구조를 최적화하고 불필요한 파일을 제거한 뒤, 빠른 SSD에 인덱스를 저장하는 것을 고려하세요.
+
+**Q: 인덱싱 후에 문자 교체를 되돌릴 수 있나요?**
+A: 아니요. 교체는 인덱스 데이터에 영구적으로 적용되므로, 설정을 바꾸려면 인덱스를 새로 빌드해야 합니다.
+
+**Q: 자세한 API 문서는 어디서 찾을 수 있나요?**
+A: 공식 문서와 API 레퍼런스에 상세히 나와 있습니다(아래 Resources 참고).
+
+## Resources
+- [Documentation](https://docs.groupdocs.com/search/java/)
+- [API Reference](https://reference.groupdocs.com/search/java)
+- [Download GroupDocs.Search](https://releases.groupdocs.com/search/java/)
+- [GitHub Repository](https://github.com/groupdocs-search/GroupDocs.Search-for-Java)
+- [Free Support Forum](https://forum.groupdocs.com/c/search/10)
+- [Temporary License Information](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Last Updated:** 2026-02-03
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/russian/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md b/content/russian/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
new file mode 100644
index 00000000..d2062a1d
--- /dev/null
+++ b/content/russian/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
@@ -0,0 +1,227 @@
+---
+date: '2026-02-03'
+description: Изучите, как создать извлекатель файлов журналов для полнотекстового
+ поиска на Java с помощью GroupDocs.Search. Добавляйте документы в индекс, оптимизируйте
+ производительность поиска и эффективно обрабатывайте большие файлы журналов.
+keywords:
+- full-text search Java GroupDocs
+- custom text extractor Java
+- GroupDocs.Search indexing
+title: 'Освойте полнотекстовый поиск в Java: реализуйте извлекатель лог‑файлов с помощью
+ GroupDocs'
+type: docs
+url: /ru/java/searching/java-full-text-search-groupdocs-custom-extractor/
+weight: 1
+---
+
+# Освойте полнотекстовый поиск в Java: реализуйте извлекатель файлов журналов с GroupDocs
+
+ эффективно индексироватьитьизироватьигурировать GroupDocs.Search для Java.
+- Реализовать **извлекатель файлов журналов** для индивидуального индексирования.
+- **Добавлять документы в индекс** и выполнять быстрый поиск.
+- Реальные сценарии, где **извлекатель файлов журналов** проявляет себя.
+- Советы по **оптимизации производительности поиска** для массивных архивов журналов.
+
+## Быстрые ответы
+- **Что такое извлекатель файлов журналов?** Пользовательский файперестроение индекса и мощные возможности запросов.
+- **Нужна ли лицензия?** Да — требуется пробная или полная лицензия для активации библиотеки.
+- **Можно ли одновременно индексировать другие типы файлов?** Конечно; вы можете смешивать PDF, DOCX и пользовательские файлы журналов в одном индексе.
+- **Как улучшить производительность?** Используйте инкрементальное индексирование, правильные настройки индекса и ограничьте использование памяти с помощью авто‑перестроения индекса.
+
+## Предварительные требования
+
+Перед реализацией убедитесь, что у вас есть следующее:
+
+### Необходимые библиотеки
+Убедитесь, что вы используете правильную версию GroupDocs.Search для Java, добавив её в зависимости вашего проекта. Ниже показано, как настроить её с помощью Maven:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+В качестве альтернативы загрузите последнюю версию напрямую с [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Настройка окружения
+- JDK 8 или выше.
+- Знание программирования на Java и концепций работы с файлами.
+
+### Получение лицензии
+Начните с загрузки бесплатной пробной лицензии, чтобы изучить возможности GroupDocs.Search. Для длительного использования рассмотрите покупку полной лицензии или запрос временной лицензии через [веб‑сайт GroupDocs](https://purchase.groupdocs.com/temporary-license/).
+
+## Настройка GroupDocs.Search для Java
+
+Чтобы начать работу с GroupDocs.Search, инициализируйте и настройте его в вашем приложении:
+
+1. **Настройка Maven**: Убедитесь, что конфигурация Maven правильно добавлена в ваш `pom.xml`, как показано выше.
+2. **Инициализация лицензии**:
+ ```java
+ License license = new License();
+ license.setLicense("path/to/license");
+ ```
+
+После завершения настройки перейдём к реализации нашего пользовательского **извлекателя файлов журналов**.
+
+## Что такое извлекатель файлов журналов?
+
+**Извлекатель файлов журналов** — это кусок кода, который сообщает GroupDocs.Search, как читать необработанные файлы журналов (обычно `.log`) и преобразовывать их содержимое в текст, пригодный для поиска. Предоставляя собственный извлекатель, вы получаете полный контроль над правилами разбора, фильтрацией шума и извлечением только той информации, которая важна для вашего сценария поиска.
+
+## Создание извлекателя файлов журналов
+
+GroupDocs.Search позволяет создавать индексы, адаптированные под определённые типы файлов, используя пользовательские текстовые извлекатели. Ниже пошаговое руководство.
+
+### Шаг 1: Определите пользовательский извлекатель
+Создайте класс, наследующий `TextExtractorBase`. Этот класс объявляет расширения файлов, которые он обрабатывает, и содержит логику извлечения.
+
+```java
+import com.groupdocs.search.extractors.TextExtractorBase;
+
+public class LogExtractor extends TextExtractorBase {
+ @Override
+ public String[] getFileExtensions() {
+ return new String[]{"log"};
+ }
+
+ @Override
+ public String extractText(String documentContent) {
+ // Custom logic for extracting text from log files.
+ return documentContent; // Implement your custom extraction here.
+ }
+}
+```
+
+**Ключевые моменты**
+- `getFileExtensions()` сообщает GroupDocs.Search использовать этот извлекатель для файлов `.log`.
+- `extractText` — место, где вы можете удалять метки времени, фильтровать отладочные строки или выполнять любую предобработку, необходимую для **поиска по большим файлам журналов**.
+
+### Шаг 2: Настройте параметры индекса с извлекательом
+Добавьте извлекатель в конфигурацию индекса и включите авто‑перестроение индекса, чтобы новые журналы индексировались автоматически.
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+public class CustomTextExtractorFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ IndexSettings settings = new IndexSettings();
+
+ // Adding the custom text extractor to the settings.
+ settings.getCustomExtractors().addItem(new LogExtractor());
+
+ // Creating or loading an index with specified settings and enabling auto-reindexing.
+ Index index = new Index(indexFolder, settings, true);
+ }
+}
+```
+
+### Шаг 3: Добавьте документы в индекс
+Теперь, когда индекс знает, как обрабатывать файлы журналов, вы можете **добавлять документы в индекс** так же, как любой другой тип файлов.
+
+```java
+import com.groupdocs.search.Index;
+
+public class AddDocumentsToIndexFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+ // Loading or creating an index in the specified directory.
+ Index index = new Index(indexFolder);
+
+ // Adding documents from the folder to the index.
+ index.add(documentsFolder);
+ }
+}
+```
+
+### Шаг 4: Поиск в индексе
+Выполняйте поиск с помощью запросов простого текста. Пользовательский извлекатель гарантирует, что содержимое журнала доступно для поиска.
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.results.SearchResult;
+
+public class SearchDocumentsFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+
+ // Loading the existing index.
+ Index index = new Index(indexFolder);
+
+ // Define search queries
+ String query1 = "objection";
+ String query2 = "log";
+
+ // Performing searches and retrieving results.
+ SearchResult result1 = index.search(query1);
+ SearchResult result2 = index.search(query2);
+ }
+}
+```
+
+## Советы по оптимизации производительности поиска
+
+- **Инкрементальное индексирование** — добавляйте только новые или изменённые файлы журналов вместо переиндексации всей папки.
+- **Управление памятью** — используйте флаг `autoReindex` (как показано в конструкторе индекса), чтобы снизить потребление памяти.
+- **Настройки индекса** — настраивайте `IndexSettings` (например, `setMaxMemoryUsage`) в соответствии с ресурсами вашего сервера.
+- **Оптимизация запросов** — используйте запросы фраз или фильтры, чтобы сузить результаты при поиске в массивных архивах журналов.
+
+## Практические применения
+
+GroupDocs.Search может применяться в различных сценариях, включая:
+
+- **Управление журналами** — быстро находите сообщения об ошибках, действия пользователей или конкретные метки времени в гигабайтах данных журналов.
+- **Системы извлечения документов** — индексируйте PDF, Word, таблицы и пользовательские файлы журналов в едином репозитории, доступном для поиска.
+- **Анализ контента** — выполняйте анализ частоты ключевых слов или обнаруживайте аномалии в потоках журналов.
+
+## Соображения по производительности
+
+При использовании GroupDocs.Search учитывайте следующие рекомендации:
+
+- Размещайте индексы на быстром SSD‑накопителе для более быстрых чтения/записи.
+- Отслеживайте использование кучи JVM; при необходимости рассматривайте возможность переноса больших индексов в отдельный процесс.
+- Включайте авто‑перестроение индекса (как показано), чтобы поддерживать индекс в актуальном состоянии без ручного вмешательства.
+
+## Заключение
+
+К этому моменту вы создали **извлекатель файлов журналов**, научились **добавлять документы в индекс** и узнали способы **оптимизации производительности поиска** для больших архивов журналов. Эта мощная комбинация позволяет вашим Java‑приложениям обеспечивать быстрый и точный полнотекстовый поиск по любому типу документов.
+
+Для более глубокого изучения ознакомьтесь с официальной [документацией GroupDocs](https://docs.groupdocs.com/search/java/) или экспериментируйте с различными реализациями извлекателей, чтобы подобрать оптимальное решение для вашего случая.
+
+## Раздел FAQ
+1. **Какие типы файлов я могу индексировать с помощью GroupDocs.Search?**
+ - Вы можете индексировать различные типы файлов, такие как PDF, документы Word, таблицы и др., включая пользовательские форматы через текстовые извлекатели.
+2. **Как эффективно работать с большими коллекциями документов?**
+ - Используйте подходящие стратегии индексирования, такие как инкрементные обновления или разбиение индексов, чтобы эффективно управлять ресурсами.
+3. **Можно ли интегрировать GroupDocs.Search с другими системами?**
+ - Да, его можно интегрировать в существующие Java‑приложения и сервисы через API, обеспечивая бесшовный полнотекстовый поиск.
+4. **Что такое временная лицензия и как её получить?**
+ - Временная лицензия позволяет использовать программное обеспечение без ограничений в целях оценки. Оформите её через [веб‑сайт GroupDocs](https://purchase.groupdocs.com/temporary-license/).
+
+## Часто задаваемые вопросы
+
+**Вопрос: Чем отличается извлекатель файлов журналов от стандартного извлекателя?**
+Ответ: Стандартный извлекатель обрабатывает распространённые форматы (PDF, DOCX и др.). Пользовательский извлекатель файлов журналов позволяет точно определить, как разбираются и индексируются простые текстовые записи журналов.
+
+**Вопрос: Могу ли я индекс передачей их в индекс.
+
+**Вопрос: Как лучше поддерживать индекс вите автоланируйте фоновую задачу, которая отслеживает каталог журналов и вызывает `index.add(newLogFile)`, когда появляется новый файл.
+
+**Вопрос: Существует ли ограничение размера отдельного файла журнала, который можно индексировать?**
+Ответ: Практически ограничение определяется доступной памятью. Рекомендуется или знанее03
+**Тестировано с:** GroupDocs.Search 25.4 for Java
+**Автор:** GroupDocs
\ No newline at end of file
diff --git a/content/turkish/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md b/content/turkish/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
new file mode 100644
index 00000000..65129af2
--- /dev/null
+++ b/content/turkish/java/searching/java-full-text-search-groupdocs-custom-extractor/_index.md
@@ -0,0 +1,227 @@
+---
+date: '2026-02-03'
+description: GroupDocs.Search kullanarak Java’da tam metin arama için bir log dosyası
+ çıkarıcı nasıl oluşturulur öğrenin. Belgeleri indekse ekleyin, arama performansını
+ optimize edin ve büyük log dosyalarını verimli bir şekilde yönetin.
+keywords:
+- full-text search Java GroupDocs
+- custom text extractor Java
+- GroupDocs.Search indexing
+title: 'Java''da Tam Metin Aramayı Ustalaşın: GroupDocs ile Log Dosyası Çıkarıcısı
+ Uygulayın'
+type: docs
+url: /tr/java/searching/java-full-text-search-groupdocs-custom-extractor/
+weight: 1
+---
+
+# Java'da Tam Metin Aramayı Öğrenin: Uygulayın
+
+Tam‑metin arama şekilde geri getirmek isteyen uygulamalar için vazgeçilmezdir.landır özel bir çıkarıcı oluşturacağınızı, **belgeleri indekse ekleyeceğinizi** ve **büyük log dosyalarını ararken** arama performansını **optimize edeceğinizi** keşfedeceksiniz.
+
+## Öğrenecekleriniz
+- GroupDocs.Search for Java'yı kurma ve yapılandırma.
+- Özelleştirilk.
+- **Log dosyası çıkarıcısının** öne çıktığı gerçek dünya senaryasa log.
+
+## Hızlı Yanıtlar
+- **Log dosyası çıkarıcısı nedir? okuyup indeksleyeceğini belirten özel bir bileşen.
+- **Neden GroupDocs.Search kullanılmalı?** Hazır indeksleme, otomatik yeniden indeksleme ve güçlü sorgulama yetenekleri sunar.
+- **eme ya da tam lisans gereklidir.
+- **Diğer dosyakste
+ıları ve otomatik yeniden indeksleme ile bellek kullanımını sınırlayın.
+
+## Ön Koşullar
+
+Uygulamaya başlamadan önce aşağıdakilerin mevcut olduğundan emin olun:
+
+### Gerekli Kütüphaneler
+Projenize bağımlılık olarak ekleyerek doğru GroupDocs.Search for Java sürümünü kullandığınızdan emin olun. Maven ile nasıl ayarlanacağını aşağıda bulabilirsiniz:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+Alternatif olarak, en yeni sürümü doğrudan [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/) adresinden indirebilirsiniz.
+
+### Ortam Kurulumu
+- JDK 8 veya üzeri.
+- Java programlama ve dosya işleme kavramlarına aşinalık.
+
+### Lisans Edinme
+GroupDocs.Search özelliklerini keşfetmek için ücretsiz bir deneme lisansı indirin. Uzun vadeli kullanım için tam lisans satın almayı ya da [GroupDocs'un web sitesinden](https://purchase.groupdocs.com/temporary-license/) geçici bir lisans talep etmeyi düşünün.
+
+## GroupDocs.Search for Java'ı Kurma
+
+GroupDocs aşağıdaki:
+
+1.ildiği gibi `pom.xml` dosyanıza Maven yapılandırmasını doğru eklediğinizden emin olun.
+2. **Lisans Başlatma**:
+ ```java
+ License license = new License();
+ license.setLicense("path/to/license");
+ ```
+
+KurizBir **log dosyası çıkarıcısı**, GroupDocs.Search'ün ham log dosyalarını (genellikle `.log`) okuyup içeriklerini aranabilir metne dönüştürmesini sağlayan bir kod parçasıdır. Kendi çıkarıcınızı sağlayarak, ayrıştırma kuralları, gürültü filtreleme ve arama senaryonuza uygun yalnızca gerekli bilgileri çıkarma üzerinde tam kontrol elde edersiniz.
+
+## Log Dosyası Çıkarıcısı Oluşturma
+
+GroupDocs.Search, özel metin çıkarıcılarıyla belirli dosya türlerine yönelik indeksler oluşturmanıza izin verir. İşte adım adım kılavuz:
+
+### Adım 1: Özel Çıkarıcıyı Tanımlama
+`TextExtractorBase` sınıfını genişılarını bildirir ve çıkarma mantığını içerir.
+
+```java
+import com.groupdocs.search.extractors.TextExtractorBase;
+
+public class LogExtractor extends TextExtractorBase {
+ @Override
+ public String[] getFileExtensions() {
+ return new String[]{"log"};
+ }
+
+ @Override
+ public String extractText(String documentContent) {
+ // Custom logic for extracting text from log files.
+ return documentContent; // Implement your custom extraction here.
+ }
+}
+```
+
+**Önemli noktalar**
+- `getFileExtensions()` GroupDocs.Search'ün için kullanextractText filtreleyebilir veya **büyük log dosyalarını arama** ihtiyacıcıyla İndeks Ayarlarını Yapılandırma
+Çıkarıcıyı indeks konfigürasyonuna ekmesi için otomatik‑yeniden‑indekslemeyi etkinleştirin.
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.IndexSettings;
+
+public class CustomTextExtractorFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ IndexSettings settings = new IndexSettings();
+
+ // Adding the custom text extractor to the settings.
+ settings.getCustomExtractors().addItem(new LogExtractor());
+
+ // Creating or loading an index with specified settings and enabling auto-reindexing.
+ Index index = new Index(indexFolder, settings, true);
+ }
+}
+```
+
+### Adım 3: Belgeleri İndekse Ekleyin
+İndeks artık log dosyalarını nasıl ele alacağını bildiğine göre, **belgeleri indekse ekleyin** diğer dosya türleri gibi.
+
+```java
+import com.groupdocs.search.Index;
+
+public class AddDocumentsToIndexFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+ String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+ // Loading or creating an index in the specified directory.
+ Index index = new Index(indexFolder);
+
+ // Adding documents from the folder to the index.
+ index.add(documentsFolder);
+ }
+}
+```
+
+### Adım 4: İndeksi Arayın
+Düz metin sorgularıyla arama yapın. Özel çıkarıcı, log içeriğinin aranabilir olmasını sağlar.
+
+```java
+import com.groupdocs.search.Index;
+import com.groupdocs.search.results.SearchResult;
+
+public class SearchDocumentsFeature {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY";
+
+ // Loading the existing index.
+ Index index = new Index(indexFolder);
+
+ // Define search queries
+ String query1 = "objection";
+ String query2 = "log";
+
+ // Performing searches and retrieving results.
+ SearchResult result1 = index.search(query1);
+ SearchResult result2 = index.search(query2);
+ }
+}
+```
+
+## Arama Performansını Optimize Etme İpuçları
+
+- **Artımlı İndeksleme** – Tüm klasörü yeniden indekslemek yerine yalnızca yeni ya da değişen log dosyalarını ekleyin.
+- **Bellek Yönetimi** – `autoReindex` bayrağını kullanarak bellek kullanımını düşük tutun.lerini – Devasa log arşivlerinde sonuç kullanın.
+
+## Pratik Uygulamalar
+
+GroupDocs.Search çeşitli senaryolarda kullanılabilir, örneğin:
+
+- **Log Yönetimi** – Gigabaytlarca log verisi içinde hata mesajlarını, kullanıcıli zaman damgalarını hızeleri birik Analizi** – Anahtar edin.
+
+## Performans Düşünceleri
+
+GroupDocs.Search kullanırken şu en iyi uygulamaları aklınızda tutun:
+
+- Daha hızlı okumaumlarını hızlı SSD depolama üzerinde tutun.
+- JVM heap ayrı bir süreçte çalıştırmayı değerlendirin.
+- Otomatik‑yeniden‑indekslemeyi (gösterildiği gibi) etkinleştirerek indeksi manuel müdahale olmadan güncel tutun.
+
+## Sonuç
+
+Artık bir **log dosyası çıkarıcısı** oluşturmuş, **belgeleri indekse eklemeyi** öğrenmiş ve büyük log arşivleri için **arama performansını optimize etme** yollarını keşfetmiş oldunuz. Bu güçlü kombinasyon, Java uygulamalarınızın herhangi bir belge türü üzerinde hızlı ve doğru tam‑metin arama sağlamasını mümkün kılar.
+
+Daha derinlemesine keşif için resmi [GroupDocs documentation](https://docs.groupdocs.com/search/java/) sayfasına göz atın veya benzersiz kullanım senaryonuza uygun farklı çıkarıcı implementasyonlarıyla deneyler yapın.
+
+## SSS Bölümü
+1. **GroupDocs.Search ile hangi dosya türlerini indeksleyebilirim?**
+ - PDF, Word belgeleri, elektronik tablolar ve özel formatlar dahil olmak üzere çeşitli dosya türlerini, metin çıkarıcıları aracılığıyla indeksleyebilirsiniz.
+2. **Büyük belge koleksiyonlarını verimli bir şekilde nasıl yönetirim?**
+ - Artımlı güncellemeler veya indeks bölümlendirme gibi uygun indeksleme stratejileri kullanarak kaynakları etkili bir şekilde yönetin.
+3. **GroupDocs.Search başka sistemlerle entegre edilebilir mi?**
+ - Evet, API'ler aracılığıyla mevcut Java uygulamaları ve servislerine entegre edilerek sorunsuz tam‑metin arama yetenekleri sağlar.
+4. **Geçici lisans nedir ve nasıl temin ederim?**
+ - Geçici lisans, değerlendirme amaçlı sınırlama olmadan yazılımı kullanmanıza olanak tanır. [GroupDocs'un web sitesinden](https://purchase.groupdocs.com/temporary-license/) başvurabilirsiniz.
+
+## Sıkça Sorulan Sorular
+
+**S: Log dosyası çıkarıcısı varsayılan çıkarıcıdan nasıl farklıdır?**
+C: Varsayılan çıkarıcı yaygın formatları (PDF, DOCX vb.) işler. Özel bir log dosyası çıkarıcısı, düz‑metin log girişlerinin nasıl ayrıştırılacağını ve indeksleneceğini tam olarak tanımlamanızı sağlar.
+
+**S: Sıkıştırılmış log arşivlerini (ör. .zip) indeksleyebilir miyim?**
+C: Evet, arşivden dosyaları çıkartıp indeksleme işlemine gönderen bir ön‑işleme adımı ekleyerek bunu yapabilirsiniz.
+
+**S: Sürekli üretilen loglarla indeksin güncel kalmasını nasıl sağlamak en iyi yoldur?**
+C: Otomatik‑yeniden‑indekslemeyi etkinleştirin ve log dizinini izleyen bir arka plan işi planlayarak yeni bir dosya ortaya çıktığında `index.add(newLogFile)` çağrısını yapın.
+
+**S: Tek bir log dosyasının indekslenebileceği bir boyut sınırı var mı?**
+C: Pratik olarak sınır, mevcut bellek miktarıyla belirlenir. Çok büyük logları indekslemeden önce daha küçük parçalara bölmek önerilir.
+
+**S: GroupDocs.Search bulanık veya joker karakterli aramaları destekliyor mu?**
+C: Evet, arama API'si bulanık eşleşme, joker karakterler ve yakınlık sorguları gibi seçenekleri içerir ve sonuçların alaka düzeyini artırır.
+
+---
+
+**Son Güncelleme:** 2026-02-03
+**Test Edilen Sürüm:** GroupDocs.Search 25.4 for Java
+**Yazar:** GroupDocs
\ No newline at end of file