My cluster have unexpected high loading even there is no query / indexing
recently. I suspect it is the segment merging.
1. How can I tell if it is becuase of merging? I tried to look into the
HotThread... but I can't really understand the meaning.
2. I tried to turn off merging completely.
:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Somebody comes up with an idea why it do not work?
Thanks.
---
Felix
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it
seems that for querying and highlighting a different analyzer is used.
See the following commands to reproduce the issue:
https://gist.github.com/fxh/3246df167e4d72b0372f
I am using ES v1.3.4
Thanks for any hint.
Felix
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, Felix wrote:
Hi,
the problem I'm facing is, that my customer is complaining about the
quality of did you mean suggestions.
He is typing 'sammsuh' and expects to see a suggestion for 'samsung'. He
is arguing, that google is able to suggest samsung (
https://www.google.de/webhp#q=sammsuh
Hi Guys,
I have two types in a index, one is used for indexing topics and another
one is used for indexing comments.
Here is the sample mapping:
*Topic*:
curl -XPUT http://localhost:9200/bbs/topic/_mapping -d'
{
topic: {
_timestamp: {
enabled: true
},
Hi Guys,
I have two types in a index, one is used for indexing topics and another
one is used for indexing comments.
Here is the sample mapping:
*Topic*:
curl -XPUT http://localhost:9200/bbs/topic/_mapping -d'
{
topic: {
_timestamp: {
enabled: true
},
over raw performance.)
Any suggestions which query type I should use?
Thank you,
Felix
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: {
and: [{term: {user: editor}}, {term: {tag: foo}}]
}
Then obviously only tag foo will appear in the facet count so I need to add
the {term: {tag: foo}} filter somewhere else.
How do I do that in ElasticSearch?
Felix
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Hi,
this might be a rookie problem since I'm very new to elasticsearch.
I'm trying to put JSON documents into elasticsearch with a field lang.
However if lang is set to it elasticsearch doesn't seem to recognize
the field since it's only returned when I filter for missing fields.
The problem
