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Project Description

pySpark-connector-kairosdb provides you an easy way to get data from KairosDB and make it available on Spark as a DataFrame. It’s simple as that:

#!/usr/bin/env python

# sconnk means "py(S)park-(CONN)ector-(K)airosdb"
from sconnk import Connection, Dataframe

query_data = {
                    "start_relative": { "value": "5", "unit": "years" },
                    "metrics": [{ "name": "test_", "limit": 5 },
                                            { "name": "DP_058424", "limit": 10 },
                                            { "name": "teste_gzip", "limit": 5 },
                                            { "name": "DP_063321", "limit": 10 }]

    # Creating a connection with KairosDB database (in the given address).
    conn = Connection("http://localhost:8080/")

    # Performing our query on KairosDB.
    json_data = conn.query(query_data)

    # Creating a new Dataframe object passing the JSON returned by KairosDB API.
    df = Dataframe(json_data).df

    # Print the dataframe.

Remember this’s a ALPHA module without good documentation, examples and even well implemented features. We’ve a long highway to cross.


This module is in development and we’ve the following plannings for the future of this module:

  • Write good documentation
  • Write tests - a lot of them.
  • Add support to RDD
  • Don’t write to JSON file in order to parse it in Spark.
Release History

Release History


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TODO: Figure out how to actually get changelog content.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pySpark-connector-kairosdb-0.1.0.tar.gz (2.7 kB) Copy SHA256 Checksum SHA256 Source Oct 13, 2015

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