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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.co 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.co Reviews

https://hadoopy.co

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 Internals — Hadoopy .0.6.0 documentation

http://www.hadoopy.co/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).

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Cookbook — Hadoopy .0.6.0 documentation

http://www.hadoopy.co/en/latest/cookbook.html

Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). Accessing Jobconfs Inside Jobs. Using Writetb to Write Multiple Parts. Timing Sections of Code. Skipping Jobs in a Large Workflow. Randomly Sampling Key/Value Pairs. This section is a collection of tips/tricks that are useful when working with Hadoopy. Accessing Jobconfs Inside Jobs. Using Writetb to Write Multiple Parts. Timing Sections of Code. Skipping Jobs in a Large Workflow.

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Hadoopy/Java Integration — Hadoopy .0.6.0 documentation

http://www.hadoopy.co/en/latest/java.html

Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). 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.co/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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Hadoopy Flow: Automatic Job-Level Parallization (Experimental) — Hadoopy .0.6.0 documentation

http://www.hadoopy.co/en/latest/flow.html

Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Helper: Useful Hadoopy tools (Experimental). Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy Flow: Automatic Job-Level Parallization (Experimental). Hadoopy flow is experimental and is maintained out of branch at https:/ github.com/bwhite/hadoopy flow. It is under active development. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

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Installation — Picarus 0.2.0 documentation

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How Picarus fits in. Cython based Hadoop library for Python. Efficient, simple, and powerful. C/C module that contains the core picarus algorithms, separate so that it can be built as a standalone executable. These are all optional, but you may find them useful. Our projects (ordered by relevance). Hadoopy monkey patch library to perform automatic job-level parallelism. Library of computer vision dataset interfaces with standardized output formats. Provided by Read the Docs. On Read the Docs.

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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

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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