When executing subsearches in Splunk there is limitation that events of rows it processed by default it is 10000 which can be seen in nf configuration by using max=0 attribute in join command we can get all the evens rows from the subsearch that we execute.įor attribute overwrite it takes Boolean values true/false by default it is set as true. Join commands comes with 2 attributes max and overwrite. Left and Outer join are same we can use them interchangeably Here we are getting all the results from table A and B including matching and non matching events but the non matching fields are output as blank values. It will only give the matching field values which are specified in command that is only for roll_no 1 2 and 3.īut when using same for outer join command in above example. Using above command we joined 2 dataset of index school_data and name_data with the help of roll_no field.įurther filtering out the query by adding only the specified roll_no values data by using where clause For this we are using Inner Join command to extract the common value fields from them. We will be joining these 2 fields and combining them in one from 1st table we are having all the required school_data but missing Name field in them where the Name field is available in name_data index we are going to combine the results having all the fields in one table. For using Join command we need a common field from those 2 table dataset in 1st example we are having roll_no in them while in 2nd example we are having id field where values are same in both the tables just the field name is different. We will be using these 2 tables and join the data among them. Here we are using 2 datasets with separate index for data.Ībove example is of data where we are having index=school_data which includes roll_no, div, std, rankĪbove example is of index=name_data where we have fields id and Name.

| join type = (inner | left | outer) “common_field” Syntax for Join Command – Index = “your_index” In Left join or outer join we join 2 dataset or tables where left table which is A gives all the results that it has having and take only matching values from Table B whereas other non matching values are displayed as blank. In Inner Join we join 2 dataset tables which is table A and B and the matching values from those tables is our results. Same as in Splunk there are two types of joins.Ībove example show the structure of the join command works In the SQL language we use join command to join 2 different schema where we get expected result set. From the 2 datasets there must be a common field with the help of that field we can join 2 different dataset and combine the result sets. Join command allow us to get data from two different datasets which can be useful to get proper knowledge of data. Today we will be discussing Splunk’s very widely used command that is join command. As we all work in Splunk we came across with various Splunk commands with their own functionality which gives us a better understanding of data, using those commands we can create reports, alerts and dashboards the way we want. Therefore we have used “ IP” as a common field between lookup and the indexed data, and after then using the “ OUTPUT” function we have extracted “ is_office” field from lookup.Īs you can see in the lookup we have an entry “203.34.34.0/27”, which means it will recognize 203.34.34.0-203.34.34.27 all as an office IP.Today’s topic of discussion is join command in Splunk. We are using the “ lookup” command to fetch data from “ ip_office”. Lookup file: select the name of the lookup Now click on “ Lookup Definitions” and “ New” However, we want to recognize all the IPs which don’t belong to our organization.įor that particular requirement, we need to create a “ CIDR Lookup”. Where we are gathering all the IPs are being used for our services and now we want to identify those IPs which are not part of the office.

We have a lookup file named “ ip_office.csv”, which consists of all the office IP addresses with their subnet range. CIDR or CIDRMATCH is a function which filters IP’s.

Today we will try to configure the CIDR lookup.

Splunk join