Skip to main content

A Python connector that sends your data to Splunk

Project description

Splunk Data Sender

Codacy Badge

Splunk Data Sender is a very simple and minimal Python package for sending logged events to an installation of Splunk Enterprise throw REST API

This logger requires the destination Splunk Enterprise server to have enabled and configured the Splunk HTTP Event Collector.



python3 install


from splunk_data_sender import SplunkSender

Then create a SplunkSender instance with your preferred configuration. Now you can use the two methods send_data() and check_acks() to, respectively, send logs and check messages acks(Requires useAck enabled in HEC).


import logging
from splunk_data_sender import SplunkSender

splunk_conf = SplunkSender(
    channel='16c70678-e516-44a9-854d-d139929e6869', # GUID
    #hostname='hostname', # manually set a hostname parameter, defaults to socket.gethostname()
    #source='source', # manually set a source, defaults to the log record.pathname
    #sourcetype='generic_single_line', # manually set a sourcetype, defaults to 'generic_single_line'
    #allow_overrides='True' # Whether to look for one of the plunk built-in parameters(index, host, ecc)
    #verify=True, # turn SSL verification on or off, defaults to True
    #timeout=60, # timeout for waiting on a 200 OK from Splunk server, defaults to 60s
    #retry_count=5, # Number of retry attempts on a failed/erroring connection, defaults to 5
    #retry_backoff=2.0,  # Backoff factor, default options will retry for 1 min, defaults to 2.0
    #enable_debug=False, # turn on debug mode; prints module activity to stdout, defaults to False

splunk = SplunkSender(**splunk_conf)

# The first payload is a quote to the italian theme song of Hello!Spank
txt_record = "Hello! Splunk resta con me, Hello! Splunk non te ne andare, Caro Splunk! gioca con me, siamo amici io e te."
json_record = { # this record will be parsed as normal text due to default "sourcetype" conf param
        "source": "spacecraft Discovery 1",
        "host": "HAL9000",
        "sourcetype": "_json",
        "index": "main",
        "event": {"message": "I am afraid I can't do that Dave.", "severity": "ERROR"},
        "rack": "42",
        "os": "Linux, obvious",
        "arch": "x64"
payloads = [txt_record, json_record]

splunk_res = splunk.send_data(payloads)

ack_id = splunk_res.get('ackId')
splunk_ack_res = splunk.send_acks(ack_id)

Configuration parameters notes


If this param is sets to "_json" (and "allow_overrides" too), not built-in params will be added inside a "fields" key described below. Refer to the official Splunk documentation for more information about source types.


If this param is set to "True", whether to look for one of the Splunk built-in parameters (time, source, host, index) it will override the autocompleted parameters.
For example, a json record with "time"=1486683865.000 will simulates a payload in the past for Splunk.

Notes for JSON source type event

Refer to the official Splunk documentation for more information about the use of JSON source type.

Nested JSON inside the "event" property

In some cases, events have nested json which contains the custom fields to be indexed. In this case you have to set "sourcetype" = "_json".


Fields for indexing that do not occur in the event payload itself.
You can use this parameter when you do not want particular fields to be included in the event data, but you need additional metadata for indexing and searching.
In the above example, "rack", "os" and "arch" will included inside "fields" key.

Using this method is also typically faster than the nested JSON method.
Be aware that you must send HEC requests containing the fields property to the /collector/event endpoint. Otherwise, they will not be indexed.

Retry Logic

This library uses the built-in retry logic from urllib3 (a retry counter and a backoff factor). Should the defaults not be desireable, you can find more information about how to best configure these settings in the urllib3 documentation.


Feel free to contribute an issue or pull request:

  1. Check for existing issues and PRs
  2. Fork the repo, and clone it locally
  3. Create a new branch for your contribution
  4. Push to your fork and submit a pull request


This project is licensed under the terms of the MIT license.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

splunk_data_sender-0.0.4.tar.gz (9.0 kB view hashes)

Uploaded source

Built Distribution

splunk_data_sender-0.0.4-py2.py3-none-any.whl (9.0 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page