![]() ![]() The Splunk user has read and write access to this file.Ī single event from the script, for reference. my_db_poll.py writes the last_eventid after querying the database. Security for passwords is an issue when running scripts.įile containing a number for the last event received from the database. The Splunk Enterprise user has read and write access to this file. Text file containing username and password encoded in base64 using the python function base64.b64encode(). You often have helper scripts that aid the main script. This is a type of helper script that formats data better for indexing. In this example, the stanza specifies how often to call the starter script to poll the database.Ī helper script to convert IP addresses from integer format to dotted format, and back. ![]() etc/apps//default/nf, create a stanza that references this wrapper script. In this example, it calls my_db_poll.py with the arguments needed to query the database. Wrapper script that calls the my_db_poll.py script. Queries the database at the next event and writes the output to a file.Reads last_eventid to determine the next event to read from the database.Accesses a database using credentials stored in key.Queries the database and writes the query result to file.This is the script that retrieves information from the database. The directory structure for your app might differ. Here is the directory structure of the example script for this example. Place scripts in the /bin directory of your app. Splunk software indexes the file containing the results of the queries.Writes the output to a file in a format optimized for indexing.Adapt this framework according to your needs. This example shows the framework for a commonly found script. You can write any number and types of scripts in various scripting languages that perform various functions. That topic provides details on the example, including code examples in Python and Java. A more detailed version of this example is in Example script that polls a database. To illustrate the setup, it uses an example script that polls a database and writes the results to a file. The other option that I came across in the nf only described routing to syslog server.This section describes how to set up a scripted input for an app. Or do I need to selectively route data using _TCP_ROUTING = to get data to my desired index on the indexers?.Will only enabling the HF to listen on TCP 9997 suffice for receiving the various data streams from the UF and the subsequent forwarding to the respective indexes?.Essentially, my question is what inputs and outputs config do I need to on my HF to make sure that the various data being sent over to my HFs from my UFs are forwarded to the indexes(on the Indexers) specified in my UFs nf Since we are receiving data from UF(on multiples servers) on various events sources with different sourcetypes and are currently being indexed in different indexes, what do I need to configure in the nf and nf of my heavy forwarders ? The nf on the HF will be configured to forward data to the indexers. Local indexing will be disabled on the HFs. The new architecture will enable us to perform parsing on the HF instance, as well as forward data to 3rd parties. We now want to put in a heavy forwarder between the UF and the Indexers, i.e UF -> HF -> Indexers -> SH We currently have a distributed architecture that's laid out in the following manner : UF -> Indexers -> SH ![]()
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