snakebite | A pure python HDFS client | Object Storage library
kandi X-RAY | snakebite Summary
kandi X-RAY | snakebite Summary
![Snakebite mini logo] ---. Snakebite is a python library that provides a pure python HDFS client and a wrapper around Hadoops minicluster. The client uses protobuf for communicating with the NameNode and comes in the form of a library and a command line interface. Currently, the snakebite client supports most actions that involve the Namenode and reading data from DataNodes. Note: all methods that read data from a data node are able to check the CRC during transfer, but this is disabled by default because of performance reasons. This is the opposite behaviour from the stock Hadoop client. Snakebite requires python2 (python3 is not supported yet) and python-protobuf 2.4.1 or higher. Snakebite 1.3.x has been tested mainly against Cloudera CDH4.1.3 (hadoop 2.0.0) in production. Tests pass on HortonWorks HDP 2.0.3.22-alpha (protocol versions 7 and 8).
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Top functions reviewed by kandi - BETA
- Connect to the server
- Send a SASL message
- Evaluate a SASL response
- Reads a SASL message from the server
- Get configuration
- Read hdfs configuration file
- Return the core configuration for a given core site
- Read Hadoop config file
- Format a listing of nodes
- Create a count listing
- Format a size of a number
- Get configuration from environment variables
- Format a listing
- Format a column value
- Create a listing of directories
- Convert octal to a permission string
- Format counts results
- Start a mini - cluster
- Find the mini - cluster jar jar
- Wrap a message
- Unwrap a SASL message
- Get a logger
- Format the results
- Format a decimal permission value
snakebite Key Features
snakebite Examples and Code Snippets
Lines of Code : 15License : Strong Copyleft (CC BY-SA 4.0)
Copy from hdfs import InsecureClient
client = InsecureClient('http://host:port', user='ann')
from json import dump, dumps
records = [
{'name': 'foo', 'weight': 1},
{'name': 'bar', 'weight': 2},
]
# As a cfrom snakebite.client import Client
client = Client("localhost", 8020, use_trash=False)
return "fileName" in client.ls(['hdfs_path'])
import pickle
my_obj = MyClass() # the class instance that I want to pickle
local_filename = "pickle.p"
hdfs_loc = "//domain.example.com/path/to/directory/"
with open(local_filename, 'wb') as f:
pickle.dump(my_obj, f)
!!hdfs dfs -copyCommunity Discussions
Trending Discussions on snakebite
QUESTION
I am trying to add two tables, in which first table contains all the video details, and in second table details of video seen by the user with user_id and video_id. I just want to add both the tables and it will show all the list of videos from first table but if the video is seen by the user, status will show 1 else 1.
Here is my query,
...ANSWER
Answered 2021-Mar-20 at 12:12I just want to add both the tables and it will show all the list of videos from first table but if the video is seen by the user, status will show 1 else 1.
I think you want a flag indicating if a user has seen a video. For this, I suggest EXISTS:
QUESTION
Im trying to install airflow on Ubuntu.
I set up a virtualenv with python 3.5.3 and tried to install airflow this way :
...ANSWER
Answered 2020-Dec-01 at 14:26Use the following i.e. https://github.com/apache/airflow/blob/constraints-1.10.9/constraints-3.5.txt (Constraints file for Airflow 1.10.9 and Python 3.5):
QUESTION
I have created a stacked barchart in Bokeh and now would like to add pictures to the hoverTool as I have seen it has been done here: https://docs.bokeh.org/en/latest/docs/user_guide/tools.html
...ANSWER
Answered 2020-May-13 at 11:58Since each renderer has to have its own image, you cannot incorporate the image data within the data source. But since you're already using a separate hover tool for each renderer, you can just directly embed image URL within the tooltip HTML template.
The code below demonstrates it by using the HTML that Bokeh generates for tooltips when you pass a list of tuples to HoverTool. But it can be adapted to your needs.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install snakebite
You can use snakebite like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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