+1 Doug
On 06/29/2011 12:10 PM, Mohammad Islam wrote: > Hi All, > > The discussion about Oozie proposal is settling down. Therefore I would like > to > initiate a vote to accept Oozie as an Apache Incubator project. > > The latest proposal is pasted at the end and it could be found in the wiki as > well: > > http://wiki.apache.org/incubator/OozieProposal > > > The related discussion thread is at: > http://www.mail-archive.com/general@incubator.apache.org/msg29633.html > > > Please cast your votes: > > [ ] +1 Accept Oozie for incubation > [ ] +0 Indifferent to Oozie incubation > [ ] -1 Reject Oozie for incubation > > This vote will close 72 hours from now. > > Regards, > Mohammad > > > Abstract > Oozie is a server-based workflow scheduling and coordination system to manage > data processing jobs for Apache HadoopTM. > > Proposal > Oozie is an extensible, scalable and reliable system to define, manage, > schedule, and execute complex Hadoop workloads via web services. More > specifically, this includes: > > * XML-based declarative framework to specify a job or a complex > workflow of > dependent jobs. > > * Support different types of job such as Hadoop Map-Reduce, Pipe, > Streaming, > Pig, Hive and custom java applications. > > * Workflow scheduling based on frequency and/or data availability. > * Monitoring capability, automatic retry and failure handing of jobs. > * Extensible and pluggable architecture to allow arbitrary grid > programming > paradigms. > > * Authentication, authorization, and capacity-aware load throttling to > allow > multi-tenant software as a service. > > Background > Most data processing applications require multiple jobs to achieve their > goals, > with inherent dependencies among the jobs. A dependency could be sequential, > where one job can only start after another job has finished. Or it could be > conditional, where the execution of a job depends on the return value or > status > of another job. In other cases, parallel execution of multiple jobs may be > permitted – or desired – to exploit the massive pool of compute nodes > provided > by Hadoop. > > These job dependencies are often expressed as a Directed Acyclic Graph, also > > called a workflow. A node in the workflow is typically a job (a computation > on > the grid) or another type of action such as an eMail notification. > Computations > can be expressed in map/reduce, Pig, Hive or any other programming paradigm > available on the grid. Edges of the graph represent transitions from one > node > to the next, as the execution of a workflow proceeds. > > Describing a workflow in a declarative way has the advantage of decoupling > job > dependencies and execution control from application logic. Furthermore, the > workflow is modularized into jobs that can be reused within the same > workflow > or across different workflows. Execution of the workflow is then driven by a > runtime system without understanding the application logic of the jobs. This > runtime system specializes in reliable and predictable execution: It can > retry > actions that have failed or invoke a cleanup action after termination of the > workflow; it can monitor progress, success, or failure of a workflow, and > send > appropriate alerts to an administrator. The application developer is > relieved > from implementing these generic procedures. > > Furthermore, some applications or workflows need to run in periodic > intervals > or when dependent data is available. For example, a workflow could be > executed > every day as soon as output data from the previous 24 instances of another, > hourly workflow is available. The workflow coordinator provides such > scheduling > features, along with prioritization, load balancing and throttling to > optimize > utilization of resources in the cluster. This makes it easier to maintain, > control, and coordinate complex data applications. > > Nearly three years ago, a team of Yahoo! developers addressed these critical > > requirements for Hadoop-based data processing systems by developing a new > workflow management and scheduling system called Oozie. While it was > initially > developed as a Yahoo!-internal project, it was designed and implemented with > the intention of open-sourcing. Oozie was released as a GitHub project in > early > 2010. Oozie is used in production within Yahoo and since it has been > open-sourced it has been gaining adoption with external developers > > Rationale > Commonly, applications that run on Hadoop require multiple Hadoop jobs in > order > to obtain the desired results. Furthermore, these Hadoop jobs are commonly > a > combination of Java map-reduce jobs, Streaming map-reduce jobs, Pipes > map-reduce jobs, Pig jobs, Hive jobs, HDFS operations, Java programs and > shell > scripts. > > Because of this, developers find themselves writing ad-hoc glue programs to > combine these Hadoop jobs. These ad-hoc programs are difficult to schedule, > manage, monitor and recover. > > Workflow management and scheduling is an essential feature for large-scale > data > processing applications. Such applications could write the customized > solution > that would require separate development, operational, and maintenance > overhead. > Since it is a prevalent use-case for data processing, the application > developer > would surely prefer a generalized solution with little or no such overhead. > Oozie addresses the challenge by providing an execution framework to > flexibly > specify the job dependency, data dependency, and time dependency. In > addition, > Oozie provides a multi-tenant-based centralized service and the opportunity > to > optimize load and utilization while respecting SLAs. > > Oozie is built on Apache HadoopTM to schedule jobs related to various Apache > projects such as Hadoop, Pig, and Hive. As an Apache Open source project, > Oozie > is expected to attract the larger and more diversified community that > currently > uses such Apache sponsored projects. Additionally, users of the Hadoop > ecosystem can influence Oozie’s roadmap, and contribute to it. Likewise, > Oozie, > as part of the Apache Hadoop TMecosystem, will be a great benefit to the > current > Hadoop/Pig/Hive/HBase/HCatalog community. > > Current Status > Meritocracy > Oozie currently is a github-based open sourced project where developers from > > multiple companies are contributing to the project. Our intent with this > incubator proposal is to further extend this diverse developer community > around > Oozie following the Apache meritocracy model. We plan to continue to provide > adequate support to new developers and to quickly recruit those who make > solid > contributions to committer status. In addition, Oozie will expect, accept, > and > work to attract contributions from amateurs as well. > > Community > While an efficient workflow management and scheduling system is critical for > > large companies with huge data processing in multi-tenant clusters, it is > equally necessary for any non-trivial deployment. Different companies are > currently using Oozie as a workflow scheduler for Hadoop-based data > processing. > At Yahoo! it is being used extensively in production clusters to process > thousand of jobs. Like the Oozie user community, the Oozie developer > community > is also very strong. Developers from Yahoo! provided the initial code base, > and > they are still the most active contributors. In late 2010, developers from > Cloudera also started contributing, and currently other companies (e.g., > IBM) > are beginning to participate. > > We currently use JIRA for issue tracking, github for code hosting and Yahoo! > Groups for developer and user communications. > > Core Developers > Oozie is currently being designed and developed by four engineers from > Yahoo! – > Mohammad Islam, Angelo Huang, Mayank Bansal, and Andreas Neumann. In > addition, > many outside contributors are actively contributing in design and > development. > Among them, Alejandro Abdelnur from Cloudera and Chao Wang from IBM are very > important contributors. All of these core developers have deep expertise in > Hadoop and the Hadoop Ecosystem in general. > > Alignment > The ASF is a natural host for Oozie given that it is already the home of > Hadoop, Pig, Hive, and other emerging cloud software projects. Oozie was > designed to support Hadoop from the beginning in order to solve data > processing > challenges in Hadoop clusters. Oozie complements the existing Apache cloud > computing projects by providing a flexible framework for managing complex > data > processing tasks. > > Known Risks > Orphaned Products > The core developers plan to work full time on the project. There is very > little > risk of Oozie getting orphaned since large companies like Yahoo! are > extensively using it on their production Hadoop clusters. For example, there > are nearly 400 Yahoo! internal Oozie users and thousands of jobs are > processed > hourly through Oozie in production. In addition, there are nearly 400 active > users (including Yahoo! internal and external) in the email community where > nearly 15 emails are exchanged per day. Furthermore, there were more than > 1500 > downloads of the Oozie binary in the last eight months from the github site > and > a large number of downloads were conducted by other companies such as > Cloudera. > Oozie has three major releases and more than 15 patch releases in the last > couple of years which further demonstrates Oozie as a very active project. > We > plan to extend and diversify this community further through Apache. > > Inexperience with Open Source > The core developers are all active users and followers of open source. They > are > already committers and contributors to the Oozie Github project. In > addition, > they are very familiar with Apache principals and philosophy for community > driven software development. > > Homogeneous Developers > The core developers are from Yahoo! as well as from several other > corporations, > including Cloudera and IBM. > > Reliance on Salaried Developers > Currently, the developers are paid to do work on Oozie. Companies like > Yahoo! > and Cloudera are invested in Oozie as the solution to the workflow > management > and scheduling problem in Hadoop clusters, and that is not likely to change. > In > addition, since workflow management is very important for most hadoop based > data processing, non-salaried developers and researchers from various > institutes are expected to contribute to the project. > > Relationships with Other Apache Products > Oozie is based on Apache Hadoop to manage jobs created by different Apache > projects such as Hadoop, Pig, and Hive. Users of these products are > extensively > using Oozie as their workflow scheduler. > > An Excessive Fascination with the Apache Brand > We deeply respect the reputation of Apache and have had great success with > other Apache projects such as Pig and HCatalog. We are motivated to expand > and > increase the adoption and development of Oozie following Apache’s > established > open source model. We have also given reasons in the Rationale and Alignment > sections. > > Documentation > Information about Oozie can be found at http://yahoo.github.com/oozie/. The > following links provide more information about Oozie in open source: > > * Codebase at GitHub: https://github.com/yahoo/oozie. > * JIRA : http://oozie-jira.hadoop.developer.yahoo.net > * Continuous Integration (CI) build: > http://oozie-ci.hadoop.developer.yahoo.net/ > > * Yahoo user community: http://tech.groups.yahoo.com/group/Oozie-users/ > Initial Source > Oozie has been under development since 2009 by a team of engineers at Yahoo!. > It > is currently hosted on GitHub under an Apache license at > https://github.com/yahoo/oozie. > > External Dependencies > The required external dependencies are all Apache License or compatible > licenses. Following the components with non-Apache licenses are enumerated: > > * HSQLDB License: HSQLDB > * JDOM license: JDOM > * BSD: Serp > * CCDL v1: jaxb-api, ejb, JAF > NOTE: With the exception of HSQLDB and JDOM that are directly used by Oozie, > > the other listed components are transitive dependencies of other Apache > components used by Oozie. > > Cryptography > Oozie supports the Kerberos authentication mechanism to access secured Hadoop > services. > > Required Resources > Mailing Lists > * oozie-private for private PMC discussions (with moderated > subscriptions) > * oozie-dev > * oozie-commits > * oozie-user > Subversion Directory > https://svn.apache.org/repos/asf/incubator/oozie > Issue Tracking > JIRA Oozie (OOZIE) > Other Resources > The existing code already has unit tests, so we would like a Hudson instance > > to run them whenever a new patch is submitted. This can be added after > project > creation. > > Initial Committers > * Mohammad K Islam (mislam77 at yahoo dot com) > * Angelo K Huang (angelohuang at gmail dot com) > * Mayank Bansal (mabansal at gmail dot com) > * Andreas Neumann (neunand at gmail dot com) > * Alejandro Abdelnur (tucu00 at gmail dot com) > * Chao Wang (brookwc at gmail dot com) > Affiliations > * Mohammad K Islam (Yahoo!) > * Angelo Huang (Yahoo!) > * Mayank Bansal (Yahoo!) > * Andreas Neumann (Yahoo!) > * Alejandro Abdelnur (Cloudera) > * Chao Wang (IBM) > Sponsors > Champion > Alan Gates > Nominated Mentors > * Owen O'Malley (Incubator PMC member) > * Alan Gates (Incubator PMC member) > * Christopher Douglas(Incubator PMC member) > * Devaraj Das (Hadoop PMC member) > Sponsoring EntityWe are requesting the Incubator to sponsor this project. > --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
