https://github.com/sergio11/struts2-hibernate
This project demonstrates building a web application with Struts2, Apache Tika, Hibernate, and Wildfly 10. đ Users can upload PDF files, extract text content using Apache Tika, and store metadata in a database using Hibernate. đ Additionally, the project provides instructions for setting up a JDBC Realm on Wildfly 10 for enhanced security.
https://github.com/sergio11/struts2-hibernate
hibernate hibernate-jpa hibernate-search jdbc structs2 tika wildfly
Last synced: 6 months ago
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This project demonstrates building a web application with Struts2, Apache Tika, Hibernate, and Wildfly 10. đ Users can upload PDF files, extract text content using Apache Tika, and store metadata in a database using Hibernate. đ Additionally, the project provides instructions for setting up a JDBC Realm on Wildfly 10 for enhanced security.
- Host: GitHub
- URL: https://github.com/sergio11/struts2-hibernate
- Owner: sergio11
- License: apache-2.0
- Created: 2016-11-08T20:58:24.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2024-03-04T20:50:45.000Z (over 1 year ago)
- Last Synced: 2025-02-07T16:47:47.565Z (8 months ago)
- Topics: hibernate, hibernate-jpa, hibernate-search, jdbc, structs2, tika, wildfly
- Language: Java
- Homepage:
- Size: 140 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Building a PDF File Indexing Project with Struts2, Apache Tika, Hibernate, and Wildfly 10 đđ
This project aims to demonstrate the construction of a web application for indexing PDF files using Struts2, Apache Tika, Hibernate, and Wildfly 10.
## Overview âšī¸
This web application provides functionalities for indexing PDF files, including:
- Uploading PDF files for indexing
- Extracting text content from PDF files using Apache Tika
- Storing metadata and extracted text content in a database using Hibernate
- Searching indexed PDF files
The project utilizes the following technologies:
- Struts2: A web application framework for developing Java EE web applications.
- Apache Tika: A content analysis toolkit capable of extracting text and metadata from various document formats, including PDF.
- Hibernate: An object-relational mapping (ORM) library for the Java language.
- Wildfly 10: A lightweight, flexible, and modular application server for Java EE applications.
## Features đ
- **Struts2 Actions**: Actions for handling user requests and interacting with the backend services.
- **Apache Tika Integration**: Integration of Apache Tika for extracting text content and metadata from PDF files.
- **Hibernate Entities**: Entities representing the data model for storing PDF file metadata and text content.
- **User Interface**: Basic user interface for uploading PDF files and searching indexed PDF files.
## Setting Up a JDBC Realm on Wildfly 10 đ
To enhance security and manage authentication and authorization, you can set up a JDBC Realm on Wildfly 10. Follow the steps outlined below:
1. **Create Security Domain:**
We create a security domain named `booksRealm`, configuring it to use a default cache type for enhanced performance.
2. **Configure Authentication:**
Within the `booksRealm` security domain, we configure the authentication method as `classic`, indicating traditional login-based authentication. Two login modules are defined:
- `Database`: This module handles authentication by querying a database. It requires specifying the JNDI name of the datasource (`java:/jdbc/booksDS`), along with SQL queries to retrieve user credentials and roles. Password hashing is performed using the MD5 algorithm with BASE64 encoding.
- `RoleMapping`: This module maps roles retrieved from the database to application roles defined in a properties file. The path to the properties file containing role mappings (`booksRealm.properties`) is provided, along with an option to replace existing roles.
## Contributing đ¤
Contributions to this project are welcome! If you have ideas for improvements, new features, or bug fixes, feel free to open an issue or submit a pull request.
## License đ
This project is licensed under the [MIT License](LICENSE).
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