Hi,
I am working in Kibana Canvas and have a datatable with a Lucene query filter.
Now, I only need a lucene query filter which only shows unique values.
Does somebody know the syntax?
Hi,
I am working in Kibana Canvas and have a datatable with a Lucene query filter.
Now, I only need a lucene query filter which only shows unique values.
Does somebody know the syntax?
I don't think you can do this using Lucene, but you can do it using ES SQL which is supported in Canvas. I would recommend using that instead.
When I use ES SQL and use specific SQL select distinct
I got the message that Distinct is not supported...
How should I do this?
Right, but you can use GROUP BY.
When I use this, it works but with duplicates:
SELECT url.domain, summary.up
FROM "heartbeat*"
WHERE url.domain
LIKE '%<DOMAIN>'
When I add GROUP BY, I got a parse error:
Whoops! Expression failed
Expression failed with the message:
[essql] > Unexpected error from Elasticsearch: [verification_exception] Found 1 problem(s) line 1:20: Cannot use non-grouped column [summary.up], expected [url.domain]
This is the SQL code:
SELECT url.domain, summary.up
FROM "heartbeat*"
WHERE url.domain
LIKE '%<DOMAIN>'
GROUP BY url.domain
The error message is explaining that you need to add summary.up
to your GROUP BY: GROUP BY url.domain, summary.up
Ok, tnx.
With doing that, I got still duplicates but that's because summary.up could have 0 or 1.
Because of that, I try to add a time range. I only like to see the information from now - 11 seconds back. This would remove the duplicates because every 10 seconds heartbeat with do his checks.
I tried this:
AND "@timestamp" BETWEEN NOW() - INTERVAL 10 SECONDS
But it doesn't work how I want it. Have you any suggestions?
This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.
© 2020. All Rights Reserved - Elasticsearch
Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS and the yellow elephant logo are trademarks of the Apache Software Foundation in the United States and/or other countries.