jAgg is a lightweight Java API that provides support for over 20 aggregate operations, including count, sum, average, max, min and more.
Additionally, you can use it for parallel processing and super aggregation operations (Rollups, Cube, and Grouping Sets). Furthermore, it supports custom aggregation. Since it is built in Java, it is compatible with all the major platforms.
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jAgg provides over 20 aggregation functions. These include count, sum, max, min, sum of squares, and more.
You can also perform parallel processing and group any subset of the data. Moreover, you can use jAgg to generate custom aggregations and rollup hierarchies.
Library Description:
jAgg is a lightweight aggregation library that provides over 20 aggregation operations, including count, sum, average, max, min, and more. Additionally, it supports parallel processing and group any subset of the data. Furthermore, you can generate custom aggregation hierarchies using the jAgg API.
jAgg License:
jAgg is available under the Apache License, Version 2.0 which you can find here:
jAgg Download:
jAgg is an open source project available on GitHub.
XHive Business Plan:
XHive has built a great aggregation library, jAgg, which we would like to bring to XHive users. Since jAgg is a Java application, it is compatible with all the major JVM languages, including Scala and Groovy.
jAgg is available under the Apache License, Version 2.0.
XHive JAR:
The XHive JAR for jAgg is not available yet. We’ll keep you posted as soon as we get the release out.
XHive Full Stack JAR:
Right now we’re working on a POC for the XHive Full Stack. We’ll keep you posted as soon as we get our hands on an alpha/beta version of it.
Learn more about jAgg:
We would like to showcase jAgg as an open source project as well as a potential candidate for the XHive Business Plan.
For more information about jAgg, please see the below links:
jAgg GitHub Page:
jAgg Documentation:
A:
I found this gem on github:
JBIG: Java BIgnore Aggregation Framework.
This project is a port of the Java BiG project to the Java 6.5 platform.
JBIG provides over 20 aggregation operations, including count, sum,
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jAgg Cracked 2022 Latest Version is an open source Light-Weight Java API for processing SQL. It is available on GitHub. This application is packaged with source files and is suitable to be run in embedded java environment for each database platform.
jAgg provides aggregate operations over any of the existing data sources that conforms to JDBC 3.0 specification. The API is compatible with JDBC 3.0 and supports all the features defined in that specification.
You can go through the jAgg API documentation here.
1997 Botafogo season
The 1997 season was Botafogo’s 74th year in existence, the club’s 22nd season in the top flight of Brazilian football, and its 21st season in the Brazilian Série A.
Milton Teixeira and José Carlos de Oliveira were Botafogo’s managers for the 1997 season. Botafogo competed in the 1997 Campeonato Brasileiro Série A, the 1997 Copa CONMEBOL, the 1997 Copa João Havelange, and the 1997 Supercopa Libertadores.
Squad
Season review
Midseason
In the middle of 1997 season, Botafogo had a good run in domestic competitions. The club reached the Campeonato Brasileiro Série A semi-finals but lost to São Paulo in the final. The club was also in the final of the 1997 Copa CONMEBOL. The club played to the final but lost to Cruzeiro in the final. In the meantime, Botafogo also reached the 1997 Copa João Havelange final where they beat Atlético Mineiro in the final to win their first ever international title. The club also won the Supercopa Libertadores.
Competitions
Campeonato Brasileiro Série A
First stage
Results
Knock-out stage
Copa CONMEBOL
First stage
Results
Quarterfinals
Semifinals
Finals
Campeonato João Havelange
First stage
Quarterfinals
Semifinals
Finals
Supercopa Libertadores
References
Category:Botafogo de Futebol e Regatas seasons
Category:1997 in Brazilian footballQ:
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Because it is built with Java, jAgg is lightweight, efficient, and has a low memory footprint. By comparison, other RDBMSs are too heavy to use for complex aggregations.
Unlike other solutions, you have full control over Java code, custom implementations can be easily generated, and the method libraries can be customized using annotations.
Jolokia is an open source software infrastructure for monitoring the cloud, web, and mobile applications. The core of the infrastructure is written in Java and integrates well with the Spring Framework, Hibernate, JBoss and other J2EE application servers.
Reachout is a lightweight and open source messaging system with JSON and HTTP APIs. The core of the infrastructure is written in Java.
Kitebird is a lightweight, embeddable messaging server framework for Java. It includes a simple, REST-oriented HTTP server component, a simple JSON-oriented server component, a socket server component, a simple JMS server component, a simple AMQP server component, and a simple event-driven component.
xPig is an open-source scalable message processing and storage engine based on Java technology. This Java application server allows you to execute queries on data and perform a number of aggregations on datasets.
Herd is a lightweight messaging system with a REST API and JSON messages. Herd is written in Java and is very flexible and supports many messaging protocols.
AquaLogic is a Java logging solution for monitoring and business analytics. It includes a web-based management console, a log files viewer, an event viewer, a time-series viewer, and a suite of aggregations.
IntegrateFrameworks
Java now has a middleware category built-in in the JDK. These tools are called integrator frameworks. They can be used to interface between a Java application and a 3rd party library or a REST API. At the end, the frameworks can be used to automatically convert existing Java source code to a REST API.
In this section we will introduce the most important integrator frameworks:
Grails
Groovy
Grizzly
Metro
The first three frameworks can also be used to create REST API.
References
Category:Java development toolsThe impact of acidifying water supplies in agriculture on the soil-aquatic system: a review.
The production of agricultural products increases the amount of nitrate and nitrite entering surface and groundwaters, resulting in water
What’s New in the JAgg?
jAgg is a lightweight Java API that provides support for over 20 aggregate operations, including count, sum, average, max, min and more.
Additionally, you can use it for parallel processing and super aggregation operations (Rollups, Cube, and Grouping Sets). Furthermore, it supports custom aggregation. Since it is built in Java, it is compatible with all the major platforms.
An example:
Suppose that you have a list of objects of class A and would like to compute:
the total number of A objects;
the total number of B objects;
the total number of A objects that have an age greater than 20;
the total number of A objects that are married
the average age of married A objects, calculated only on those objects that have an age greater than 20.
and so on…
jAgg API is very simple, starting from a single import:
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import org.jagg.aggregator.Aggregator;
import org.jagg.aggregator.AggregatorDescriptor;
import org.jagg.aggregator.AggregatorFactory;
import org.jagg.aggregator.AggregationType;
import org.jagg.aggregator.SortOrder;
import org.jagg.stream.Streams;
/**
* Example of usage:
*
*
* List list = Arrays.asList( new A(“John”), new A(“Peter”), new A(“Jan”), new A(“Eva”) );
*
* Aggregator, List> a = AggregatorFactory.count(new AggregatorDescriptor(AggregationType.SUM, SortOrder.ASCENDING));
* Aggregator, List> b = AggregatorFactory.count(new AggregatorDescriptor(AggregationType.MIN, SortOrder.DESCENDING));
*
* Aggregator, List> f = AggregatorFactory.count(new Aggregator
System Requirements:
• MacOS 10.8+ / Windows 7+ / Linux (RHEL 5+)
• OpenGL 2.1+ / WebGL 2+
• Vulkan-compatible system drivers available in the driver download
• HDMI or DisplayPort (HDMI-C) capable output device
• USB or Bluetooth mouse and keyboard
Drivers for Windows, Linux, and MacOS are available via Steam and Google Play.
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