![]() ![]() ![]() We get the result for this specific date. The user produces the data by means of any device like- web apps, sensors, or computers. It analyzes semi-structured data and logs generated by various processes with proper data modeling as per the need of the IT companies. In the below example, we aim to find all the records for the date, 15th Oct for the host named mailsecure_log. Splunk is a program that enables the search and analysis of computer data. The field names can also be inserted into the search box along with the specific values for the search. ![]() It shows all the distinct values for the field, their count and their percentages. Very detailed stats for every selected field become available by clicking on the name of the field. We can use the check boxes to choose our fields for display.īesides the name of the field, it displays the number of distinct values the fields have, its data type and what percentage of events this field is present in. Some of these fields have check marks against them showing they are already selected. Clicking on all fields opens a window showing the list of all the fields. We can choose what fields to be displayed by selecting or unselecting the fields from the list of all fields. We can notice the fields Splunk has generated from this log file. Even in case of unstructured data, Splunk tries to divide the fields into key value pairs or separate them based on the data types they have, numeric and string, etc.Ĭontinuing with the data uploaded in the previous chapter, we can see the fields from the secure.log file by clicking on the show fields link which will open up the following screen. When Splunk reads the uploaded machine data, it interprets the data and divides it into many fields which represent a single logical fact about the entire data record.įor example, a single record of information may contain server name, timestamp of the event, type of the event being logged whether login attempt or a http response, etc. ![]()
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