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Simple Oozie Job Dispatcher

£250-750 GBP

Terminado
Publicado hace casi 7 años

£250-750 GBP

Pagado a la entrega
>>> About Me I'm an IT contractor working on a Hadoop project for one of my clients. I'd like some help to accelerate the delivery. >>> The Job Implement the following using Oozie in Cloudera CDH 5.8.3 Oozie must watch for a file arriving in a local directory d with a mask m. The value for d and m should be configurable. Example values are: d: /tmp m: customer_????????.txt where ? means any character. File-watching must use built-in Oozie features. An example would be Oozie's file coordinator. Hand-coded file watching must not be used, for example shell scripts around the linux inotify or watch commands. File-watching should use an event-trigger rather than polling if it is available. A file is considered stable if its size has not changed for n seconds. The figure for n can be a system-wide Oozie setting, rather than job-specific. For every matching file, run a Hive job h. The name of the matching file should be passed to the Hive job. The Hive job itself is not in scope - a dummy job is acceptable for testing purposes. Example: /tmp/[login to view URL] arrives, run Hive job h with /tmp/[login to view URL] passed to the job. /tmp/[login to view URL] arrives, run Hive job h with /tmp/[login to view URL] passed to the job. Multiple files can arrive at the same time. I don't mind if they are processed serially or concurrently. There is no requirement to process them in order. A failed job must not prevent further jobs from starting e.g. in the example above, [login to view URL] should be started even if 0001 did not process successfully. A failed job must be rerunnable, either from the command-line or Cloudera UI. Describe the steps. No formal documentation is required - a text file is acceptable. Please price these separately if it contributes more than 30% of the overall job cost. The file m should not be reprocessed if the timestamp or size changes. The file m should not be reprocessed if the Oozie job is restarted. The file m should not be reprocessed if the host is restarted.
ID del proyecto: 14113958

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3 propuestas
Proyecto remoto
Activo hace 7 años

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Hello, I have all the skills and experience that makes me a competitive candidate for this post. I have had an ideal prospect and am ready to accept any new challenges that may be put in front of me. If given an opportunity to work for your company I will fulfill the given work with utmost dedication and loyalty. My key skills: •Java,Hadoop,Big Data, Cassandra,Angular.JS •Hive,Map Reduce,Pig,HBase,Cloudera,Scala •HTML, CSS, HTML5, MySQL, NoSQL, MongoDB, AJAX •Client-side scripting, Server-Side Scripting •Spark,Kafka,Mule,JavaFX,JavaScript, jQuery, My Freelancer Profile: https://www.freelancer.in/u/punitpuneet2008.html I always give my 100% effort to do my job and client’s satisfaction is my first Skill When working on a new project, I like to speak with my clients so that I can have a clear understanding of their needs and vision of the project. What I Offer: - -100% Satisfaction - Free Support - Good Value for Your Money - Regular and Timely Updates -Strictly Adhering To Deadlines Thank you in advance for your time and consideration. I look forward to working with you soon.
£553 GBP en 10 días
4,6 (1 comentario)
2,5
2,5
3 freelancers están ofertando un promedio de £628 GBP por este trabajo
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I am a big data and machine learning developer in a private firm having good knowledge in big data tools and technologies including cloudera platform and all hadoop services.
£666 GBP en 10 días
0,0 (0 comentarios)
0,0
0,0
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i am certified hadoop developer, having 3 + years of experience in hadoop and working for banking client, having sound knowledge in all hadoop components like pig, hive, mapreduce, oozie, sqoop and spark. if u r ok with my skills and for ur requirement let me know, shall we have a call to discuss further, my number +91-9502812708
£666 GBP en 8 días
0,0 (1 comentario)
0,0
0,0

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Bandera de UNITED KINGDOM
READING, United Kingdom
5,0
1
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Miembro desde may 23, 2017

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