![]() The construct sum(eval(>)) counts the results where > is true. | table name, Type, success, failure, "N.A.", "Total Count" | rename fields.name as name, count as "N.A."]Īnother solution avoids using append at all. Following this guide, what makes me a bit confused is step 4 they states only to create a macro to capture fields saved on a local file, but no indication. Due we have not Enterprise Security, I must follow steps described in section Splunk non-Enterprise Security Users. | append [search index=foo fields.result="N.A." The guide I'm following is the following one: Splunk py for NON ES users. stats count by Category,Status stats values (Status) AS Status, values (count) AS Count by Category.| rename fields.name as name, count as "failure"] | append [search index=foo fields.result="failure" | rename fields.name as name, count as "success"] | append [search index=foo fields.result="success" | rename fields.name as name, count as "Total Count" | stats count, values(fields.type) as Type by fields.name One solution is to use the append command and then re-group the results using stats. The order and count of results from appendcols must be exactly the same as that from the main search and other appendcols commands or they won't "line up". I'd appreciate if advice can be given on how to improve upon the search query, or if possible, to correct me on better suited commands to use.Īs you've discovered, the appendcols command works right under somewhat limited circumstances. referencing from the table presented earlier, with the search query I created, the table below is generated: name | type | success | failure | N.A. column with the heading "failure", do not have their rows aligned with the other rows, resulting in the total count column not matching with all the counts in the rows being added up.Į.g. Here's what I tried after looking up in the splunk command reference: index="The index I am looking for" | stats count, values(fields.type) as type by fields.name | table fields.name, Type, count | rename fields.name as name, count as "Total Count" That said, just use values() in your stats command to dedup like values according to your group field. List of Servers adm: Administrative server app: Application server cis: Commerce Infrastructure Services dth: DataHub srch: Solr search server web: Apache. ![]() in the future, include a table of some dummy data so we can see field names, values, etc. Here's a sample table format I wish to achieve: name | type | success | failure | N.A. Unless Im misunderstanding your Q, this is wayyy simpler than everyone is making it out to be. After which, I wish to have additional columns that split the counts into different columns based on the "tag" attribute. I wish to create a table that groups the items into its respective names, and then count the number of items belong to that name and list the respective type of the group which contains the set of items. has only three values success, failure, N.A.) I have a list of items, with one item having the following fields: I am trying to create a table which counts the items in my list with splunk.Į.g. ![]()
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