For reference, I have tried the 7.5+ version of the plugin with Kibana 7.5.2 (and 7.5.0,7.8.0), along with the 7.0-7.4 version of the plugin with Kibana 7.0.0 (and 7.4.0).
I have an index pattern formed by a simple CSV as follows:
A,B,C
1,1,1
1,1,2
1,2,3
1,2,4
2,3,5
2,3,6
2,4,7
My goal is to form a graph with the edges connecting the nodes representing the 1 from column A to the 1 in column B and 2 column B, and the 2 in column A to the 3 and 4 in column B, and the 1 in column B connected to the 1 and 2 in Column C, the 2 in Column B to the 3 and 4 in column C, the 3 in column B to the 5 and 6 in column C, and the 4 in column B to the 7 in column C.
Based on the screenshots and instructions that have been provided in the website and the User Guide, it seems that would be possible, but I am having trouble being able to actually materialize the visualization.
(Let A be CUID, B be DUID and C be RUID in the following screenshots).
Let us consider only trying to achieve the relationships between columns A and B first.
So, the only aggregation/sub-aggregation options I get are "Terms" for this dataset.
Here is a look at what I get using a Node-Node relationship and Count aggregation
The big blue circle is labeled as "CUID:1 Count:4", the small one is "CUID: 2 Count: 3", the orange ones say "DUID:3" and "DUID:4".
Here is a look at using a Node-Relation model:
The big blue circle is "CUID 1: Count 4" and the small one is "CUID 2: Count 3"
and as you can see adjusting the parameters in Relation to use the aggregation of minimum for C seems to have no impact...
The big blue circle still says "CUID 1: Count 4" and the small one is "CUID 2: Count 3"
Here's a look at using the Node-Node with an Average aggregation:
The big blue circle says "CUID:2 Average DUID: 3.333333", little circle says "CUID:1 Average DUID: 1.5", orange ones say "DUID:3" and "DUID:4".
For reference, I have tried the 7.5+ version of the plugin with Kibana 7.5.2 (and 7.5.0,7.8.0), along with the 7.0-7.4 version of the plugin with Kibana 7.0.0 (and 7.4.0).
I have an index pattern formed by a simple CSV as follows:
My goal is to form a graph with the edges connecting the nodes representing the 1 from column A to the 1 in column B and 2 column B, and the 2 in column A to the 3 and 4 in column B, and the 1 in column B connected to the 1 and 2 in Column C, the 2 in Column B to the 3 and 4 in column C, the 3 in column B to the 5 and 6 in column C, and the 4 in column B to the 7 in column C.
Based on the screenshots and instructions that have been provided in the website and the User Guide, it seems that would be possible, but I am having trouble being able to actually materialize the visualization.
(Let A be CUID, B be DUID and C be RUID in the following screenshots). Let us consider only trying to achieve the relationships between columns A and B first.
So, the only aggregation/sub-aggregation options I get are "Terms" for this dataset.
Here is a look at what I get using a Node-Node relationship and Count aggregation The big blue circle is labeled as "CUID:1 Count:4", the small one is "CUID: 2 Count: 3", the orange ones say "DUID:3" and "DUID:4".
Here is a look at using a Node-Relation model: The big blue circle is "CUID 1: Count 4" and the small one is "CUID 2: Count 3"
and as you can see adjusting the parameters in Relation to use the aggregation of minimum for C seems to have no impact... The big blue circle still says "CUID 1: Count 4" and the small one is "CUID 2: Count 3"
Here's a look at using the Node-Node with an Average aggregation: The big blue circle says "CUID:2 Average DUID: 3.333333", little circle says "CUID:1 Average DUID: 1.5", orange ones say "DUID:3" and "DUID:4".
Any guidance will be kindly welcomed.