![]() Which means that you'll always have 1 (or 2) events per operator (a "start" and an eventual "stop").Īnd I also suspect you won't have more than one "start" for a given operator and id. By default, only the first row of the right-side dataset that matches a row of the source data is returned. That is then used to search the list of user names produced by the main search, which should produce the results you seek.Is it ever possible for a "stop" to happen before a "start"? I'd suspect not - unless you have some pretty bad timestamp extraction going on. The format command puts the results into (UserName=foo OR UserName=bar.) form for proper searching. The field name used here must match a field used in the main search or you won't get any results. Here, the LDAP search is fetching a list of users into a field called "UserName". | eval UserName="contoso\\"+lower(sAMAccountName)|fields UserName | format] | search [| ldapsearch domain="" search="(&(objectclass=user)(objectCategory=person)(memberOf=CN=Domain Admins,OU=Måontainer,DC=contoso,DC=com))" attrs="sAMAccountName" basedn="DC=contoso,DC=com" | rex field=Message ".*Logon Type:\s+(?\d+)" index="wineventlog" source="WinEventLog:Security" sourcetype="WinEventLog:Security" "LogName=Security" "EventCode=4624" earliest=-1d One approach to your problem is to do the ldapsearch in a subsearch and let those results become part of the main search. The means the results of a subsearch get passed to the main search, not the other way around. ![]() Subsearches are enclosed in square brackets and are always executed first. The "inner" query is called a 'subsearch' and the "outer" query is called the "main search". An index of -1 is used to specify the last value in the list. Both the and arguments can be negative. When the argument is specified, the range of values from to are included in the results. Use the map command to loop over events (this can be slow). If only the argument is specified, only that value is included in the results.The foreach command loops over fields within a single event. At first by the table command we have taken the raw field. Most search commands work with a single event at a time. Rows are called 'events' and columns are called 'fields'. I even toyed with building a lookup and tried isin(), but could not get this to work.Ä®xample LDAP search: | ldapsearch domain="" search="(&(objectclass=user)(objectCategory=person)(memberOf=CN=Domain Admins,OU=Måontainer,DC=contoso,DC=com))" attrs="sAMAccountName" basedn="DC=contoso,DC=com" | eval ldapSearchUserName="contoso\\"+lower(sAMAccountName)Ä®xample Event log search: index="wineventlog" source="WinEventLog:Security" sourcetype="WinEventLog:Security" "LogName=Security" "EventCode=4624" earliest=-1d | rex field=Message ".*Logon Type:\s+(?\d+)" | eval UserName=mvindex(Security_ID, 1) | table UserNameįirst, let me try to clarify a few things. By default, only the first row of the right-side dataset that matches a row of the source data is returned. Finally, we have to join the input and the output. I've tried using the "search" command and "foreach" command, but have had no joy. the first Output section that it not only sets the severity value based on whether it sees error. Ii) Enumerate the group members and perform a foreach() type loop. Run the event log query for users that exist in the array, e.g.: using semantics such as isin() or contains() or I) Enumerate relevant group members into an array. 1), Splunk will only return the events with that exact IP address in them. ![]() If I were coding this in a script, I'd either: The join command is used to combine the results of a sub search with the. I've got the Windows Event Log search nailed. I then want to perform a search for each of the returned user names against Windows Event Logs ⦠and return the results as one data set. The outer query performs an LDAP search against Active Directory and returns a list of people with a particular group membership (e.g.: all Domain Admins or Account Operators, Etc.) I am by no means a Splunk expert, not even a power user! single value, then you can only apply transformations to that single value. I'm trying to perform a search for all "rows" that are returned by an outer search/query. Using transformations, you can: Rename fields Join time series data Perform. You can also combine a search result set to itself using the selfjoin command. I've found a few Google hits that I thought were going to help with this. Description You can use the join command to combine the results of a main search (left-side dataset) with the results of either another dataset or a subsearch (right-side dataset).
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