- Splunk Tutorial
- Splunk - Home
- Splunk - Overview
- Splunk - Environment
- Splunk - Interfaces
- Splunk - Data Ingestion
- Splunk - Source Types
- Splunk - Basic Searching
- Splunk - Field Searching
- Splunk - Time Range Search
- Splunk - Sharing and Exporting
- Splunk - Search Language
- Splunk - Search Optimization
- Splunk - Transforming commands
- Splunk - Reports
- Splunk - Dashboards
- Splunk - Pivot & Datasets
- Splunk - Lookups
- Splunk - Schedules and Alerts
- Splunk - Knowledge Management
- Splunk - Subseraching
- Splunk - Search Macros
- Splunk - Event Types
- Splunk - Basic Chart
- Splunk - Overlay chart
- Splunk - Sparklines
- Splunk - Managing Indexes
- Splunk - Calculated Fields
- Splunk - Tags
- Splunk - Apps
- Splunk - Removing Data
- Splunk - Custom Chart
- Splunk - Monitoring Files
- Splunk - Sort Command
- Splunk - Top Command
- Splunk - Stats Command
- Splunk Useful Resources
- Splunk - Quick Guide
- Splunk - Useful Resources
- Splunk - Discussion
Splunk - Data Ingestion
Data ingestion in Splunk happens through the Add Data feature which is part of the search and reporting app. After logging in, the Splunk interface home screen shows the Add Data icon as shown below.
On clicking this button, we are presented with the screen to select the source and format of the data we plan to push to Splunk for analysis.
Gathering The Data
We can get the data for analysis from the Official Website of Splunk. Save this file and unzip it in your local drive. On opening the folder, you can find three files which have different formats. They are the log data generated by some web apps. We can also gather another set of data provided by Splunk which is available at from the Official Splunk webpage.
We will use data from both these sets for understanding the working of various features of Splunk.
Uploading data
Next, we choose the file, secure.log from the folder, mailsv which we have kept in our local system as mentioned in the previous paragraph. After selecting the file, we move to next step using the green coloured next button in the top right corner.
Selecting Source Type
Splunk has an in-built feature to detect the type of the data being ingested. It also gives the user an option to choose a different data type than the chosen by Splunk. On clicking the source type drop down, we can see various data types that Splunk can ingest and enable for searching.
In the current example given below, we choose the default source type.
Input Settings
In this step of data ingestion, we configure the host name from which the data is being ingested. Following are the options to choose from, for the host name −
Constant value
It is the complete host name where the source data resides.
regex on path
When you want to extract the host name with a regular expression. Then enter the regex for the host you want to extract in the Regular expression field.
segment in path
When you want to extract the host name from a segment in your data source's path, enter the segment number in the Segment number field. For example, if the path to the source is /var/log/ and you want the third segment (the host server name) to be the host value, enter "3".
Next, we choose the index type to be created on the input data for searching. We choose the default index strategy. The summary index only creates summary of the data through aggregation and creates index on it while the history index is for storing the search history. It is clearly depicted in the image below −
Review Settings
After clicking on the next button, we see a summary of the settings we have chosen. We review it and choose Next to finish the uploading of data.
On finishing the load, the below screen appears which shows the successful data ingestion and further possible actions we can take on the data.
