![]() | table ul-ctx-head-span-id thod ul-log-data. Notes usage of splunk commands join it is very important command of splunk, which is basically used for combining the result of sub search with the main. | table ul-ctx-head-span-id thod ul-log-data.function ul-span-duration ![]() ![]() | eval ul-log-data.function = mvindex(split(func_dur, "|"), 0), ul-span-duration = mvindex(split(func_dur, "|"), 1) | stats values(thod) as thod values(func_dur) as func_dur by ul-ctx-head-span-id | eval func_dur = 'ul-log-data.function'. Try that and see if you get the results you're looking for.Įdit: Another way to accomplish this: (index=cosv2 ul-ctx-source=c4rupgrd ( ("ul-ctx-caller-span-id"=null) OR ("ul-ctx-caller-span-id"!=null "thod"="*") ) | table _time ul-ctx-head-span-id http_url function ul-span-duration The easiest way to do this would be to use a join command: index=cosv2 ul-ctx-source=c4rupgrd "ul-ctx-caller-span-id"!=null "ul-log-data.function"="GetRemainingAsync" OR "ul-log-data.http_url"=" | join ul-ctx-head-span-id It means if I get 4 row data in first search, then after join, I need show 8 row dataįorgive my poor English, can someone help on this? The above will combine the three fields, email, uname, and secondaryuname into the single field identity, delimitating by the pipe character. Example: strcat allrequiredf email '' uname '' secondaryuname identity. Please note: the second search depends on the field "ul-ctx-head-span-id" in the result of first search.įinally, I want get a table like below: ul-ctx-head-span-id | thod | ul-log-data.function|ul-span-duration The allrequiredf flag also allows you to concatenate the fields that exist and ignore those that dont. The right-side dataset can be either a saved dataset or a subsearch. The left-side dataset is sometimes referred to as the source data. The left-side dataset is the set of results from a search that is piped into the join command. With the field "ul-ctx-head-span-id", second search will return 2 row data with different ul-log-data.function, ul-span-duration, so the table will be: ul-ctx-head-span-id | ul-log-data.function|ul-span-duration Use the join command to combine the left-side dataset with the right-side dataset, by using one or more common fields. Rows from each dataset are merged into a single row if the predicate is satisfied. The simplest join possible looks like this:Second search: index=A "ul-ctx-caller-span-id"!=null ul-ctx-head-span-id=1-5D0A0438-736C50A33B81102B75CBA44D To use, the field must have a unique identifier. With this search, I can get several row data with different methods in the field thod, so the table will be: ul-ctx-head-span-id | thod join left=L right=R where L.vendorID=R.First search: index=A "ul-ctx-caller-span-id"=null The resulting computation logic can be executed in-database or in-memory depending on the solution footprint, dictionary-based search and. This example joins the incoming search results with the products dataset. Field names are required.įield names do not have to be renamed so that you can join on the key fields. The syntax for the join command is completely different. Specifically the usetime, earlier, and overwrite join options are not supported. Some of the SPL are not supported in SPL2. With SPL2, the only arguments in the syntax that are not required are the. With SPL you are actively encouraged to use other commands instead of the join command because in SPL the join command does not perform like a SQL join. The SPL2 join command performs very much like a SQL join and has similar syntax to a SQL join. There are significant differences in the join command between SPL and SPL2. This tells Splunk platform to find any event that contains either word. Setting the value to a higher number or to 0, which is unlimited, returns multiple results from the. Multisearch Union OR boolean operator The most common use of the OR operator is to find multiple values in event data, for example, foo OR bar. By default max=1, which means that the returns only the first result from the. Using Splunk: Splunk Search: Re: Join data from 2 indexes Options. For the complete syntax, usage, and detailed examples, click the command name to display the specific topic for that command. ![]() There is a short description of the command and links to related commands. The join command should be avoided because it performs poorly. The table below lists all of the search commands in alphabetical order. To return matches for one-to-many, many-to-one, or many-to-many relationships, include the max argument in your join syntax and set the value to 0. The subsearch of a join is independent of the main search and all other subsearches so there is no way for the subsearch to use anything from elsewhere in the query. One-to-many and many-to-many relationships
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