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Getting Started — Luigi 2.5.0 documentation

Running from the Command Line. Using the Central Scheduler. Luigi is a Python (2.7, 3.3, 3.4, 3.5) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. To install the latest stable version from PyPI. Documentation for the latest release is hosted here. For the bleeding edge code,. Git https:/ github.com/spotify/luigi.git. Bleeding edge documentation can be found here.

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Running from the Command Line. Using the Central Scheduler. Luigi is a Python (2.7, 3.3, 3.4, 3.5) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. To install the latest stable version from PyPI. Documentation for the latest release is hosted here. For the bleeding edge code,. Git https:/ github.com/spotify/luigi.git. Bleeding edge documentation can be found here.
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3 example top artists
4 building workflows
5 tasks
6 parameters
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Getting Started — Luigi 2.5.0 documentation | luigi.readthedocs.io Reviews

https://luigi.readthedocs.io

Running from the Command Line. Using the Central Scheduler. Luigi is a Python (2.7, 3.3, 3.4, 3.5) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. To install the latest stable version from PyPI. Documentation for the latest release is hosted here. For the bleeding edge code,. Git https:/ github.com/spotify/luigi.git. Bleeding edge documentation can be found here.

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Tasks — Luigi 2.5.0 documentation

http://luigi.readthedocs.io/en/stable/tasks.html

But I just want to run a Hadoop job? Namespaces, families and ids. Running from the Command Line. Using the Central Scheduler. Tasks are where the execution takes place. Tasks depend on each other and output targets. An outline of how a task can look like:. Method is used to specify dependencies on other Task object, which might even be of the same class. For instance, an example implementation could be. This also makes it easier to add parameters:. Method returns one or more. Only return one single.

2

Example – Top Artists — Luigi 2.5.0 documentation

http://luigi.readthedocs.io/en/stable/example_top_artists.html

Step 1 - Aggregate Artist Streams. Step 1b - Running this in Hadoop. Step 2 Find the Top Artists. Step 3 - Insert into Postgres. Using the Central Planner. Running from the Command Line. Using the Central Scheduler. For the purpose of this exercise, we want to aggregate all streams, find the top 10 artists and then put the results into Postgres. This example is also available in examples/top artists.py. Step 1 - Aggregate Artist Streams. Note that this is just a portion of the file. Is defined as a.

3

Using the Central Scheduler — Luigi 2.5.0 documentation

http://luigi.readthedocs.io/en/stable/central_scheduler.html

Running from the Command Line. Using the Central Scheduler. Using the Central Scheduler. Using the Central Scheduler. Flag is useful for development purposes, it’s not recommended for production usage. The centralized scheduler serves two purposes:. Make sure two instances of the same task are not running simultaneously. Provide visualization of everything that’s going on. To run the server as a daemon run:. Note that this requires. By default, the server starts on AF INET and AF INET6 port. To enable th...

4

luigi.contrib.hadoop module — Luigi 2.6.0 documentation

http://luigi.readthedocs.io/en/latest/api/luigi.contrib.hadoop.html

Running from the Command Line. Using the Central Scheduler. Luigicontrib.bigquery avro module. Luigicontrib.external program module. Luigicontrib.hadoop jar module. Luigicontrib.pyspark runner module. Luigicontrib.redis store module. Luigicontrib.sge runner module. Run Hadoop Mapreduce jobs using Hadoop Streaming. To run a job, you need to subclass. Methods. See Example Top Artists. For an example of how to run a Hadoop job. Implement any work to setup any internal datastructure etc here. Since counters ...

5

luigi.contrib.hadoop_jar module — Luigi 2.6.0 documentation

http://luigi.readthedocs.io/en/latest/api/luigi.contrib.hadoop_jar.html

Running from the Command Line. Using the Central Scheduler. Luigicontrib.bigquery avro module. Luigicontrib.external program module. Luigicontrib.hadoop jar module. Luigicontrib.pyspark runner module. Luigicontrib.redis store module. Luigicontrib.sge runner module. Luigicontrib.hadoop jar module. Luigicontrib.hadoop jar module. Provides functionality to run a Hadoop job using a Jar. Coerce input arguments to use temporary files when used for output. Converts each HdfsTarget to a string for the path.

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Custom Graphs — dask 0.14.0 documentation

http://dask.readthedocs.io/en/latest/custom-graphs.html

There may be times that you want to do parallel computing, but your application doesn’t fit neatly into something like. In these cases, you can interact directly with the dask schedulers. These schedulers operate well as standalone modules. As discussed in the motivation. Sections, the schedulers take a task graph which is a dict of tuples of functions, and a list of desired keys from that graph. Here is a mocked out example building a graph for a traditional clean and analyze pipeline:. But the other pr...

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Building Data Science Platforms – A Solution for Powercor ~ Bows and Arrows

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Building Data Science Platforms A Solution for Powercor. Sep 12, 2016. Office of Naval Research. On Thursday 8th, September 2016 I gave a talk on Powercor’s data-science platform at the AGL-Office Melbourne Data-Science Meetup. The talk briefly covered how the architecture of the platform was conceived and how the platform was implemented. Below is an excerpt from my talk to give some insight into building a platform that can handle the rigour of data modelling and analysis. They can be thought of as req...

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Getting Started — Luigi 2.5.0 documentation

Running from the Command Line. Using the Central Scheduler. Luigi is a Python (2.7, 3.3, 3.4, 3.5) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. To install the latest stable version from PyPI. Documentation for the latest release is hosted here. For the bleeding edge code,. Git https:/ github.com/spotify/luigi.git. Bleeding edge documentation can be found here.

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