Shulou(Shulou.com)06/03 Report--

Easy Scheduler Release 1.0.3

Easy Scheduler 1.0.3 is the fourth version of the 1.x series.

New features: [EasyScheduler-254] process definition deletion and batch deletion [EasyScheduler-347] Task dependency add "Today" [EasyScheduler-273] sql task add title [EasyScheduler-319] stand-alone fault tolerance [EasyScheduler-253] project increases process definition statistics and running process instance statistics [EasyScheduler-292] SSL-enabled mailboxes send mail [EasyScheduler-77] timing management, Workflow definition add and delete function [EasyScheduler-380] Service Monitoring function [EasyScheduler-380] Project add process definition statistics and running process instance statistics enhancement: [EasyScheduler-192] tenants can consider verifying tenants and resources [EasyScheduler-376] when deleting instances Do not delete tasks in the corresponding zookeeper queue [EasyScheduler-185] project delete workflow definition and [EasyScheduler-206] optimized deployment, perfect dockerization support [EasyScheduler-381] front-end one-click deployment script supports ubuntu repair: [EasyScheduler-255] child parent process global variable override Child process inherits parent process global variables and can override [EasyScheduler-256] Child parent process parameters display exception [EasyScheduler-186] all queries return all data as long as% is entered [EasyScheduler-185] items delete workflow definition also exists [EasyScheduler-266] Stop process return: process definition 1 not on line [EasyScheduler-300] timeout alarm unit [EasyScheduler-235] nginx timeout connection problem repair [EasyScheduler-272] tube The manager cannot generate save global parameters [EasyScheduler-272EasyScheduler-183EasyScheduler] create Worker packet with Chinese name error report [EasyScheduler-377] resource file rename will only modify the description will register that there is an error [EasyScheduler-235] create spark data source Click "Test connection", and the system returns to the login page [EasyScheduler-83] version 1.0.1 to start api server error [EasyScheduler-379] when the scheduled task is resumed across days, the time parameter does not show the previous blank line thank you for the [EasyScheduler-383] sql email:

Last but not least, there can be no new version without the contributions of the following partners:

Baoqi, jimmy201602, samz406, petersear, millionfor, hyperknob, fanguanqun, yangqinlong, qq389401879

Feloxx, coding-now, hymzcn, nysyxxg, chgxtony

And many enthusiastic friends in WeChat group! Thank you very much!

About Easy Scheduler

Easy Scheduler for Big Data

Design features: a distributed and easy-to-expand visual DAG workflow task scheduling system. Committed to solving the complex dependencies in the data processing process, so that the scheduling system can be used out of the box in the data processing process.

Its main objectives are as follows:

By correlating Task according to task dependency in the way of DAG diagram, you can visually monitor the running status of tasks in real time and support rich task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python,Sub_Process, Procedure, etc. support workflow timing scheduling, dependent scheduling, manual scheduling, manual pause / stop / resume. At the same time, support for failure retry / alarm, recovery failure from specified nodes, Kill tasks and other operations to support workflow priority, task priority and task failover, and task timeout alarm / failure support workflow global parameters and node custom parameter settings support online upload / download of resource files, management, etc. Support for online file creation, editing, online viewing and scrolling of task logs, online downloading of logs and so on to achieve cluster HA, Master cluster and Worker cluster decentralization support for Master/Worker cpu load,memory through Zookeeper Cpu online view support workflow running history tree / Gantt chart display, support task status statistics, process status statistics support complement support multi-tenant support internationalization, and more partners are waiting to explore the comparison with similar scheduling systems.

Partial screenshot of the system

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