Search Results for "elasticsearch"

Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types.

...CPU and I/O intensive, long-running and short-running jobs are supported. Persistent storage is done via either RDBMS (e.g. Postgres, MariaDB/MySQL, Oracle, SQL Server, DB2 and SQLite) or NoSQL (ElasticSearch, MongoDB and Redis). JobRunr provides a unified programming model to handle background tasks in a reliable way and runs them on shared hosting, dedicated hosting or in the cloud (hello Kubernetes) within a JVM instance.

The mall project is a comprehensive, full-featured e-commerce platform developed in Java, offering modules for product management, orders, users, promotions, and administration. Built with Spring Boot, MyBatis, and Vue.js, it provides a complete solution for developers looking to build or learn from a production-ready online shopping platform. It supports high scalability and clean architectural design suitable for enterprise-grade applications.

...Administrators can manage products, categories, attributes, customers, permissions, orders, statistics, logs, shipping, and storefront content. The server stack includes Spring, Spring MVC, MyBatis, Dubbo, ZooKeeper, MySQL, Redis, Elasticsearch, ActiveMQ, and Shiro. Supporting infrastructure includes Swagger, Docker, Nginx, Tomcat, Maven, and database tooling. The project demonstrates a relatively complete older-style distributed Java commerce architecture rather than a minimal shopping-cart example.

...Power data analysis in SQL and gain faster business insights. Platform independent web application. Single JAR file + Single SQLite DB file. Get up and running in 5 minutes. PostgreSQL, Oracle, SQL Server, MySQL, Elasticsearch... You name it. No ETLs, no generated SQL, polish your own SQL query to transform data. Pixel-perfect positioning + Drag'n'Drop support to customize the reports and charts in your own way. Utilize the power of dynamic SQL with query variables to connect Filters and Charts. Capture the snapshot of historical data. Free up space in your own database. ...