The time schedule framework for java.
Distributed scheduled job
Batch processing is a pervasive workload pattern, expressed by a distinct application organization and execution model. It is found across virtually every industry, applied to such tasks as statement generation, bank postings, risk evaluation, credit score calculation, inventory management, portfolio optimization, and on and on. Nearly any bulk processing task from any business sector is a candidate for batch processing. Batch processing is typified by bulk-oriented, non-interactive, background execution. Frequently long- running, it may be data or computationally intensive, execute sequentially or in parallel, and may be initiated through various invocation models, including ad hoc, scheduled, and on-demand. Batch applications have common requirements, including logging, checkpointing, and parallelization. Batch workloads have common requirements, especially operational control, which allow for initiation of, and interaction with, batch instances; such interactions include stop and restart.
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the GWT wrapper of the planning engine itself.
Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava3/Reactive API. Client side caching. Over 50 Redis based Java objects and services: JCache API (JSR-107), Hibernate Cache, MyBatis Cache, Quarkus Cache, Micronaut Cache, Apache Tomcat Session, Spring Session, Micronaut Session, Hibernate, Spring Boot Starter, Spring Cache, Spring Session, Spring Transaction Manager, Spring Cloud Stream, Spring Data Redis, JSON, Set, Multimap, Geo, SortedSet, Map, List, Queue, Deque, Semaphore, ReadWriteLock, FairLock, Lock, AtomicLong, AtomicDouble, LongAdder, DoubleAdder, Map Reduce, Bloom filter, Scheduler, RPC
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the Drools implementation of Constraint streams.
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains implementation of Constraint streams (Bavet).
This project contains utility classes for working with spring-hibernate jpa and the Quartz Scheduler.
Distributed scheduled job
Elastic-Job - distributed scheduled job solution
Apache DeltaSpike Parent for container projects
Distributed scheduled job
The AWS Java SDK for Amazon EventBridge Scheduler module holds the client classes that are used for communicating with Amazon EventBridge Scheduler Service
Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava3/Reactive API. Client side caching. Over 50 Redis based Java objects and services: JCache API (JSR-107), Hibernate Cache, MyBatis Cache, Quarkus Cache, Micronaut Cache, Apache Tomcat Session, Spring Session, Micronaut Session, Hibernate, Spring Boot Starter, Spring Cache, Spring Session, Spring Transaction Manager, Spring Cloud Stream, Spring Data Redis, JSON, Set, Multimap, Geo, SortedSet, Map, List, Queue, Deque, Semaphore, ReadWriteLock, FairLock, Lock, AtomicLong, AtomicDouble, LongAdder, DoubleAdder, Map Reduce, Bloom filter, Scheduler, RPC
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module provides OptaPlanner implementations of Drools data model interfaces used by OptaPlanner Workbench.
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module builds an internal distribution that is a part of the download zip.
Corporate POM for the Sakai Open Source Collaborative Learning Environment/Learning Management System
Enterprise job scheduling middleware with distributed computing ability.
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains an operator that enables running OptaPlanner workloads on Kubernetes.
Java libraries for writing microservices
Java project for solon
Core jar for Azkaban 2.5 Schedule Manager
DSS covers scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, task scheduling and data exporting
Distributed scheduled job
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module wraps OptaPlanner core classes used by OptaPlanner Workbench.
ODE Simple Scheduler
Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava3/Reactive API. Client side caching. Over 50 Redis based Java objects and services: JCache API (JSR-107), Hibernate Cache, MyBatis Cache, Quarkus Cache, Micronaut Cache, Apache Tomcat Session, Spring Session, Micronaut Session, Hibernate, Spring Boot Starter, Spring Cache, Spring Session, Spring Transaction Manager, Spring Cloud Stream, Spring Data Redis, JSON, Set, Multimap, Geo, SortedSet, Map, List, Queue, Deque, Semaphore, ReadWriteLock, FairLock, Lock, AtomicLong, AtomicDouble, LongAdder, DoubleAdder, Map Reduce, Bloom filter, Scheduler, RPC
Distributed scheduled job
Easy Redis Java client and Real-Time Data Platform. Valkey compatible. Sync/Async/RxJava3/Reactive API. Client side caching. Over 50 Redis based Java objects and services: JCache API (JSR-107), Hibernate Cache, MyBatis Cache, Quarkus Cache, Micronaut Cache, Apache Tomcat Session, Spring Session, Micronaut Session, Hibernate, Spring Boot Starter, Spring Cache, Spring Session, Spring Transaction Manager, Spring Cloud Stream, Spring Data Redis, JSON, Set, Multimap, Geo, SortedSet, Map, List, Queue, Deque, Semaphore, ReadWriteLock, FairLock, Lock, AtomicLong, AtomicDouble, LongAdder, DoubleAdder, Map Reduce, Bloom filter, Scheduler, RPC
Distributed scheduled job
Distributed scheduled job
OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains implementation of Constraint streams.
Eclipse Kapua™
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
DataSphereStudio1.1.0
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Dolphin Scheduler is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.
Distributed scheduled job