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Hadoopy: Python wrapper for Hadoop using Cython — Hadoopy .0.6.0 documentation

Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Launch vs. launch frozen. Get frames from Video. Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Putting Text Data on HDFS. Using C Code in Python (Cython and Ctypes Example). Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Accessing Jobconfs Inside Jobs. Timing Sections ...

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Hadoopy: Python wrapper for Hadoop using Cython — Hadoopy .0.6.0 documentation | hadoopy.com Reviews

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Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Launch vs. launch frozen. Get frames from Video. Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Putting Text Data on HDFS. Using C Code in Python (Cython and Ctypes Example). Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Accessing Jobconfs Inside Jobs. Timing Sections ...

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Hadoopy: Python wrapper for Hadoop using Cython — Hadoopy .0.6.0 documentation | hadoopy.com Reviews

https://hadoopy.com

Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Launch vs. launch frozen. Get frames from Video. Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Putting Text Data on HDFS. Using C Code in Python (Cython and Ctypes Example). Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Accessing Jobconfs Inside Jobs. Timing Sections ...

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hadoopy.com

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Benchmarks — Hadoopy .0.6.0 documentation

http://www.hadoopy.com/en/latest/benchmarks.html

Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). The majority of the time spent by Hadoopy (and Dumbo) is in the TypedBytes conversion code. This is a simple binary serialization format that covers standard types with the ability to use Pickle for types not natively supported. We generate a large set of test vectors (using the tb make test.py. Hadoopy TypedBytes file interface ( speed hadoopyfp.py. Bytes 100 10k.tb. String 100 10k.tb.

2

Hadoopy Internals — Hadoopy .0.6.0 documentation

http://www.hadoopy.com/en/latest/internals.html

Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). This section is for understanding how Hadoopy works. Hadoopy uses the Hadoop Streaming. Mechanism to run jobs and communicate with Hadoop. Hadoopy makes exensive use of the TypedBytes. The launch frozen command uses PyInstaller. Python Source (fully documented version in wc.py. Python wc.py Hadoopy Wordcount Demo. Command line test (map).

3

Programming Documentation — Hadoopy .0.6.0 documentation

http://www.hadoopy.com/en/latest/api.html

Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). This section contains library documentation for Hadoopy. Job Launchers (Start Hadoopy Jobs). Run Hadoop given the parameters. 8211; Input path (string or list). 8211; Output path. 8211; Path to the script (e.g., script.py). 8211; If True (default), sets the ...

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Local Hadoop Execution — Hadoopy .0.6.0 documentation

http://www.hadoopy.com/en/latest/local.html

Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

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Tutorial — Hadoopy .0.6.0 documentation

http://www.hadoopy.com/en/latest/tutorial.html

Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). The best way to get Hadoopy is off of the github. Git clone https:/ github.com/bwhite/hadoopy.git cd hadoopy sudo python setup.py install. Sudo pip install -e git https:/ github.com/bwhite/hadoopy#egg=hadoopy. Putting Data on HDFS. Anatomy of Hadoopy Jobs. While each job is different I’ll describe a common process...

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Binary Streaming with Hadoop (and Node.js) :: Drive-by Digressions

http://mojodna.net/2013/12/27/binary-streaming-with-hadoop-and-nodejs.html

Binary Streaming with Hadoop (and Node.js). Manipulating binary data from Hadoop streaming jobs is a black art. There are Python ( dumbo. And R ( rmr. Tools to facilitate streaming jobs, but all of them have abstracted the handling of byte streams (using typed bytes. Successfully enough that its difficult to determine how they actually work. Which, as it turns out, is important to know if youre. While researching this topic, I kept returning to a Stack Overflow post. Create Some Typed Bytes. Hadoop jar /...

picar.us

Architecture — Picarus 0.2.0 documentation

http://www.picar.us/en/latest/architecture.html

How Picarus fits in. The Picarus REST server stores state in Redis, launches jobs on Hadoop, and manages data on HBase/Redis. Because all state is stored in Redis it is safe to have multiple instances running with a load balancer distributing requests between them. The server is written in Python using the gevent. Socket library and the bottle. Micro web-framework. Gevent allows the server to process many connections simultaneously. Hadoop CDH4 (with mr1) is used on the cluster. The Hadoopy.

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Hadoopy: Python wrapper for Hadoop using Cython — Hadoopy .0.6.0 documentation

Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Launch vs. launch frozen. Get frames from Video. Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Putting Text Data on HDFS. Using C Code in Python (Cython and Ctypes Example). Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Accessing Jobconfs Inside Jobs. Timing Sections ...

hadoopy.com

Hadoopy: Python wrapper for Hadoop using Cython — Hadoopy .0.6.0 documentation

Putting Data on HDFS. Anatomy of Hadoopy Jobs. Getting data from HDFS. Launch vs. launch frozen. Get frames from Video. Job Launchers (Start Hadoopy Jobs). Task functions (Usable inside Hadoopy jobs). HDFS functions (Usable locally and in Hadoopy jobs). Putting Text Data on HDFS. Using C Code in Python (Cython and Ctypes Example). Pipe Hopping: Using Stdout/Stderr in Hadoopy Jobs. Mixing Local and Hadoop Computation. Launch Local (execute jobs w/o Hadoop). Accessing Jobconfs Inside Jobs. Timing Sections ...

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