datapipes | node library , command line tool | Command Line Interface library
kandi X-RAY | datapipes Summary
kandi X-RAY | datapipes Summary
A node library, command line tool and webapp to provide "pipe-able" Unix-Style data transformations on row-based data like CSVs. DataPipes offers unix-style cut, grep, sed operations on row-based data like CSVs in a streaming, connectable "pipe-like" manner.
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Top functions reviewed by kandi - BETA
- multiply a sort function
- Append the widget .
- Detects the parser cache for each table .
- Create cache data structure .
- Computes the row indexes of the table .
- Build head headers .
- Retrieve the text of a node .
- Returns the parser for a given column .
- Creates an instance of the shorthand list
- Transform a stream to a stream .
datapipes Key Features
datapipes Examples and Code Snippets
Community Discussions
Trending Discussions on datapipes
QUESTION
Context
I'm working with a streaming pipeline which has a protobuf data source in pubsub. I wish to parse this protobuf into a python dict because the data sink requires the input to be a collection of dicts. I had developed a Protobuf Parser successfully by initializing the protobuf message in process
function of DoFn.
However, I wanted to know, is it possible to make a generic ProtobufParser DoFn on Beam? A generic DoFn is useful from the engineering perspective to avoid re-implementing existing functions and enabling code reuse. In Java, I know that we're able to use generics hence implementing this generic ProtobufParser in Java is relatively easy. Since Python functions are first-class objects, I was thinking whether it's possible to pass a Protobuf schema class (not the message instance object) into a DoFn. I tried to do this, however I kept failing.
Successful Parser with Caveat: not GeneralizableBelow is my current successful protobuf parser. The protobuf message is initialized inside process
function.
ANSWER
Answered 2019-Apr-27 at 03:36I actually found an alternative solution for creating a generic Protobuf Parser with beam.Map
QUESTION
I'm currently new to using Apache Beam in Python with Dataflow runner. I'm interested in creating a batch pipeline that publishes to Google Cloud PubSub, I had tinkered with Beam Python APIs and found a solution. However, during my explorations, I encountered some interesting problems which made me curious.
1. The Successful PipelineCurrently, my successful beam pipeline for publishing data in batch manner from GCS looks like this:
...ANSWER
Answered 2019-Apr-24 at 07:12PublisherClient
can not be pickled correctly. More on pickling here.
Initializing the PublisherClient
in the process
method avoids the pickling of PublisherClient
.
If the intent is to reuse the PublisherClient
, I would recommend initializing PublisherClient
in the process method and storing it in self
using following code.
QUESTION
I have an application where I need to perform a fairly expensive calculation based on the actual width and height of a control. I have bound ActualWidth and ActualHeight of this control to properties in my code. I find that Actualheight is being changed in small steps. I assume this is because of the Layout Engine.
A stripped down version of the xAML is
...ANSWER
Answered 2017-Nov-18 at 06:35I found the issue. In the XAML above I have
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