Hello!! How are you?
My kibana is having issues when doing aggregation visualizations.
Here it is what is happening I have a SQL database as its source system, that has its data extracted by Logstash and feed the Elasticsearch index with the query (denormalized query joining 3 target tables).
Everything goes ok, no data gets lost along the way (I've extracted the data from Elasticsearch and compared against the SQL data by counting rows and summing amount fields).
However in Kibana when I do a metric count (like what I do in the Python Script and what I do in SQL SUM, or COUNT) the values don't match.
Can anyone help me please? This is bugging me for a long time now.
Beest Wishes,
Fernando Durier.
My setup now:
Elasticsearch running on IBM Openshift Cluster on IBM Cloud
Logstash running on a pod inside IBM Openshift Cluster on IBM Cloud
Kibana running on a pod inside IBM Openshift Cluster on IBM Cloud
Source Database -> DB2forZ/OS
Index -> replicas:1; number_of_rows:63290; shard:1;
P.s.: Even the counts on kibana don't match the number of docs in elasticsearch, e.g.: 63290 is the correct number of documents across my pipeline, and in Kibana it counts as 61,420.