EventAnalytics is a small, Java-based library designed to help you store and visualize any kind of event count occured in the application. This library is aimed to achieve high-performance (more than million count per day), and support various RDB for storage.
EventAnalytics
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Keanu is a drop-in replacement for Keanu provides lightweight logging to your application, using java.util.logging or jakarta.logging. It’s written in Java and uses JDK 1.3 as its logger implementation. Support for custom loggers with minimal coding has been provided since the first release. Keanu provides four kinds of logging methods: TRACE, DEBUG, WARN, ERROR The default javax.security.auth.login.Configuration property, which is used by J2EE applications, can be used for configuration of logging. Keanu has a small API, and can be extended to provide additional configuration of logging. In the past, in the Java community, there has been a request for a “statistics reporting system” written in Java. Keanu is a nice statistics toolkit. Note, however, that Keanu is not integrated with J2EE for security. Keanu is licensed under the LGPL version 2.1 or later. See /doc/ for more details about Keanu. For more information about Keanu can be used as a standalone toolkit. Some existing projects and code are using Keanu as their own logging toolkit or reporting toolkit: Keanu example: The following example prints the log message to the console: importcom.fasterxml.jackson.databind.ObjectMapper;importcom.fasterxml.jackson.databind.ObjectWriter;importjava.io.File;importjava.io.IOException;importjava.lang.management.ManagementFactory;importjava.lang.management.ThreadInfo;importjava.util.logging.Configuration;importjava.util.logging.LogManager;importjava.util.logging.StreamHandler;importorg.fasterxml.jackson.annotation.JsonAutoDetect;importorg.fasterxml.jackson.annotation.JsonInclude;importorg.fasterxml.jackson.annotation.PropertyAccessor;importorg.slf4j.Logger;importorg.slf4j.LoggerFactory;importorg.springframework.beans.factory.annotation.Autowired; 2f7fe94e24
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Java-based library for storing and visualizing event counts in applications. Can store any kind of events. Can store the count of event occurred (keep historical data). Can visualize the event counts (circles on the map, or sparklines on the chart). Can visualize collected data in 3D Cannot visualize non-count-related data, such as logs, traces, and service versions Can store the data in your database (H2 or JPA). Can export the data to a CSV file. Can visualize the data in any chart library, such as highcharts This library can be used in an embedded fashion. Support multi-threaded Support multi-process Support multi-database Support multi-user (but only for up to 2k event per day, no other limitation) Supported back-end engines are H2 and JPA. Supported database engines are embedded H2, EHCache, JPA, MySQL, Oracle, PostgreSQL, SQLServer, and HSQLDB. Compatible with EHCache, H2, and JPA. Example: Event event = eventAnalytics.event(java.time.LocalDateTime.now(), “someid”, java.lang.String.class, “sample description”, 0, “sample category”, 0, “sample desc”, 1.0, “sample category”, “category name”, 0, “sample desc”, “sample desc”, “sample desc”, 0.3, “sample category”, “sample category”, “category name”, 1.0, 0, “sample desc”, “sample desc”, “sample desc”, 0.7, “sample category”, “sample category”, “category name”, 2.0, “sample desc”, “sample desc”, “sample desc”, 1.0, “sample category”, “sample category”, “category name”, 0.2, “sample desc”, “sample desc”, “sample desc”, 0.1, “sample category”, “sample category”, “category name”, 0.9, “sample desc”,
What’s New in the?
*high-performance *support JPA, JDO, JDBC, MongoDB and Cassandra as storage, *support JPA and JDO with Grails as plugins. *support different listeners to monitor users action in the application Example using JavaEE of COUNTOur vision is to see the world’s most successful entrepreneurs and corporations recruit the best talent through educational and career development programs that provide a one-of-a-kind experience for workers, and a rich product and service experience for employers. The idea of the University of Queensland’s Entrepreneurship and Innovation Centre (EIC) came about while Dr Hui and Professor Laszlo were both working at RMIT University. “While we were at RMIT, we discovered that there was a very strong synergy between RMIT’s educational programs and programs at the UQ Business School. However, in spite of the educational programs being excellent, we couldn’t find a mechanism that encouraged students to apply the knowledge and skills they acquired in the classroom to real world problems,” Dr Hui explains. “We began to look for ways to support students to actually look at problems and take action.” The mission of the EIC is to create a thriving innovation ecosystem to promote and support entrepreneurs, businesses, and aspiring entrepreneurs in Queensland. The Centre currently operates from the special purpose research and development centre in St Lucia, which provides teaching and administrative facilities and has access to the UQ Business School’s broadband and data networks and its facilities, which include several laboratories, workshops, makerspace and a building that is being leased for up to six students at a time who will receive the full benefit of the Centre’s services, facilities and the research expertise of UQ’s Centre for Research Excellence in Innovation Management and Leadership. There is also no charge for study at UQ Business School, and UQ is home to some of Australia’s leading researchers in the fields of innovation and entrepreneurship. “We are thrilled to be the home of the centre. We are working with the business school to create an innovative industry incubator that will create, incubate, train and engage entrepreneurs,” Dr Hui says. For more information about the program, visit: www.qld.edu.au/eic and
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Minimum: OS: Windows 7 (SP1) or later Processor: Intel Pentium 4 2.8GHz / AMD Athlon64 3200+ Memory: 1GB RAM Graphics: ATI Radeon HD 2600 XT, NVIDIA Geforce 7800 GS Recommended: Processor: Intel Core 2 Duo 2.2GHz / AMD Athlon 64 X2 5600+ Memory: 2GB RAM Graphics: ATI Radeon HD 3400, NVIDIA GeForce
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