1. You can retrieve the term position, offset and payload using function
score scripts:
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-advanced-scripting.html
2: There are a couple of proposed solutions that would store the data in
another index that is joined with
Hi ia m ramesh...
I'm getting the following error message while creating river for couchdb..
{error:IndexCreationException[[_river] failed to create index]; nested:
NoClassDefFoundError[Could not initialize class
org.elasticsearch.index.codec.postingsformat.PostingFormats];
,status:500}
Can
I am trying to run this kind of query
{query : {query_string : {query : project:240026 AND timestamp:[0 TO
*]}}}
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I am using the dataless NodeClient to connect to my cluster (version is
1.1.1). Everything is working ok, except when failures occur. The scenario
is the following:
-I have an application java based which connects to ES Cluster (application
is started and the cluster is up and running)
-I
Which setting are important for the node client? For my data nodes I
disabled swapping, increased the memory and the file descriptors number and
I understand why I have to do all of this (Lucene, I/O ops etc).
But on the node client, which is dataless, do I need to consider applying
such
can somebody suggest..
Is it possible to jump over Page Nos [forward/backward]while using
Scan/Scroll for Pagination?.. Or any other effective way available for
pagination?.
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Just wanted to say thanks for fixing this so quickly. I can see the code
change is already in the 1.2 branch.
On 22 July 2014 16:35, Adrien Grand adrien.gr...@elasticsearch.com wrote:
Agreed that this is an issue! I opened
https://github.com/elasticsearch/elasticsearch/issues/6962
On Tue,
Hello.
I just downloaded kibana-3.1.0 and open sample dashboard in kibana.
then I tried to save dashboard but there was save file error.
I attached the error screenshot.
Is there any one who had the same problem?
Thanks in advance.
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i have one index with different _type like http://localhost:9200/matrix/group
and http://localhost:9200/matrix/user
the two _type all have 'region' field but with different type.
group :
- region: {
- type: string
- store: true
- analyzer: ik
}
}
user:
- region:
Can you kibana install talk to elasticsearch ok? Are you seeing other data
via it?
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email: ma...@campaignmonitor.com
web: www.campaignmonitor.com
On 23 July 2014 19:52, jin201...@gmail.com wrote:
Hello.
I just downloaded
OK, answering a couple of my own questions:
1. Return value: _score e.g.
_score = Math.sqrt(retscore);
2. Accessing nested: easy enough:
_source.things[i]
3. Debugging. Dunno.
On Tuesday, 22 July 2014 17:17:40 UTC+1, Roland Dunn wrote:
Hi,
Wonder if anyone could help. I've managed to
user behavior data like this(transformed to JSON):
{uid:user001, action:click, context:
{level:21,ip:222.222.222.222, val:87}}
{uid:user002, action:click, context:
{level:28,ip:222.222.222.221,val:96}} #1
{uid:user002, action:buy, context:
{level:28,ip:222.222.222.221,val:abc}} #2
...
1. here
Hi,
I have an interesting use case which I posted up on Stack Overflow. If
anyone has the time to take a look and share their thoughts that would be
great:
http://stackoverflow.com/questions/24885143/elasticsearch-bayesian-average.
Cheers
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Heya,
We are pleased to announce the release of the Elasticsearch Twitter River
plugin, version 2.2.0.
The Twitter River plugin allows index twitter stream using elasticsearch rivers
feature.
https://github.com/elasticsearch/elasticsearch-river-twitter/
Release Notes -
I tried EC2 discovery with the following settings, still keeps
elected_as_master with the other node.
discovery.type: ec2
discovery.ec2.groups: security groups
discovery.ec2.host_type: private_ip
cloud.aws.region: ap-southeast-1
cloud.aws.access_key: [access key]
cloud.aws.secret_key: [security
I was told a week or two ago on IRC that rivers were deprecated in favour
of external data sources like Logstash.
Is this not correct?
On 23 July 2014 13:00, Elasticsearch Team da...@pilato.fr wrote:
Heya,
We are pleased to announce the release of the *Elasticsearch Twitter
River plugin*,
Rivers will be deprecated in favor of logstash inputs.
Deprecated does not mean removed yet.
So in the meantime we still try to keep up to date official plugins.
But yes, you should prefer using if possible logstash twitter input
(http://logstash.net/docs/1.4.2/inputs/twitter)
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David Pilato
Hey guys,
We've recently set up a 5 node ES cluster, serving our 6-shards / 1-replica
index (we chose 6 back when we only had 3 nodes). We sometimes find a
highly uneven distribution of shards across the nodes. For example, when we
had 3 nodes, 4/6 of the index lived on 1 node, 2/6 lived on
is there any way to convert data type without using the script mechinism ?
2014-07-23 17:22 GMT+08:00 panfei cnwe...@gmail.com:
user behavior data like this(transformed to JSON):
{uid:user001, action:click, context:
{level:21,ip:222.222.222.222, val:87}}
{uid:user002, action:click,
{
size: 0,
query: {
filtered: {
filter: {
regexp: {
who: [0-9]+
}
}
}
},
aggs: {
max_who: {
max: {
script: Double.parseDouble(_source.who)
}
For the 0/6 node are you sure you don't have some configuration preventing
shards from allocating there?
We use this:
http://git.wikimedia.org/blob/operations%2Fpuppet.git/d2e2989bbafc7f7f730efacaa652a05bec3ef541/modules%2Felasticsearch%2Ftemplates%2Felasticsearch.yml.erb#L420
but its is designed
I have an index of photos and need to return completion suggestions based
on several of the fields:
- Tags
- Place
- Country
- Date
The simplest way to do this of course would be to create one completion
suggester and simply feed the various inputs into it when indexing.
Thanks for that, Nik. I'm okay with evenly spreading all the indices,
rather than just the one I'm having issues with. I'll give your config a
try!
Def no special configurations on that one. We didn't even realize there was
such a thing as allocation configuration up until yesterday (after the
On Wed, Jul 23, 2014 at 9:21 AM, mich...@modernmast.com wrote:
Thanks for that, Nik. I'm okay with evenly spreading all the indices,
rather than just the one I'm having issues with. I'll give your config a
try!
Def no special configurations on that one. We didn't even realize there
was such
Hey all!
I'm having some a serious problem with my ES cluster. Every now and then,
when writing to the cluster, a machine (or two) will suddenly spike up on
OS Load, writing will come to a screeching halt (5s for 1k docs, as
opposed to ~100ms normally), and then shortly after, the VM that was
Got it. To be honest, I was pretty sure of that, up until this AM, when
that same OS Load spike happened again. But this time, the shards were
allocated more evenly. So I'm not sure that's even the problem any more. I
just posted a new post with more information about the load spike issue.
Hi Gordon,
Given your requirements, I think you are doing the right thing. There is no
particular concern wrt querying multiple suggesters at the same time.
On Wed, Jul 23, 2014 at 3:20 PM, Gordon Rankin gor...@ripplesoup.com
wrote:
I have an index of photos and need to return completion
Hi Prasath,
Scan and scroll can only move forward. If you want to have previous/next
buttons, you would typically run the query once again with different values
of `from` and `size`.
On Tue, Jul 22, 2014 at 3:16 PM, PrasathRajan prasanth.sunr...@gmail.com
wrote:
can somebody suggest..
Is it
I think am running into this same issue, even after upgrading to 1.2.2.
Did you stabilize your cluster?
Thanks,
Mohamed.
On Saturday, May 24, 2014 5:05:55 AM UTC-4, Robin Clarke wrote:
And found this error too in one of the nodes which left the cluster:
java.lang.NullPointerException
One additional piece of information -- the .yml conf file we
use: https://gist.github.com/schonfeld/ef8f012eb0775be202ce
On Wednesday, July 23, 2014 9:31:45 AM UTC-4, mic...@modernmast.com wrote:
Hey all!
I'm having some a serious problem with my ES cluster. Every now and then,
when
Thanks Adrien...
Thanks for your speedy response. I'm very new to Elasticsearch so it's
good to know I am doing the write thing.
I guess i'll continue as I am unless anyone else can think of any reason
not to.
Cheers!
On Wednesday, July 23, 2014 2:34:08 PM UTC+1, Adrien Grand wrote:
Hi
I'm not sure what OS Load is in this context but I'm guessing it is load
average. The shape of the memory usage graph indicates that the orange
node might be stuck in a garbage collection storm - the numbers for heap
aren't going up and down - just staying constant while the load is pretty
high.
Scan/scroll is also not for exposing to web scale users. Fine for tens
of users, not for millions. There is non-trivial cost on the cluster
during scan/scroll.
For the most part we just use from and size. There is a setting called
preference that might be worth looking at if you expect lots of
My windows test machine where I have ES installed has restarted
automatically several times during the day. I was testing some custom
scripts in ES.
After restart I went back to continue my tests and realized that any script
I told ES to run it would do the same thing and always give me
Looking at the JVM GC graphs, I do see some increases there, but not sure
those are enough to cause this storm?
https://lh6.googleusercontent.com/-4wVrdN5UNRY/U8_DuSsh15I/AAk/prHDyOwB_gE/s1600/Screenshot+2014-07-23+10.05.10.png
The disk graphs in Marvel don't show anything out of the
Hi,
We have a little cluster of 2 nodes, hosting 4 indexes of about 1.5M
documents each, replicated on both nodes.
Those 2 nodes are on VPS that are stored on the same physical host. As it
represents a single point of failure, we have decided to start a new VPS on
a different host.
What is
Hi,
How can I sort the result based on summation of several fields?
For my application, I want to sort the results based on ( ElasticSearch
score + field_1 + field_2 )
In fact:
Final Score = ElasticSearch score + field_1 + field_2
It seems kinda recursive, but I was wondering ES is able to do
I have several large indices (100M docs) on the same cluster. Is there any
advice of when it is appropriate to separate into multiple clusters vs one
large one? Each index has a slightly different usage profile (read vs write
heavy, update vs insert). How many indices would you recommend for a
It seems this is what I need
script_score : {
script : _score + doc['my_numeric_field_1'].value +
doc['my_numeric_field_2'].value
}
Am I right??
On Wednesday, July 23, 2014 9:29:22 AM UTC-5, M_20 wrote:
Hi,
How can I sort the result based on summation of several fields?
For my
I have to query several completion suggesters at the same time. This is
easy to do using the _suggest api.
However if I want to query multiple suggesters on different indexes I have
two choices:
1. Perform multiple http requests using the _suggest api
2. Use the _msearch api.
I am
I have created a gist with an analyzer that uses filter shingle in attempt
to match sub phrases.
For instance I have entries in the table with discrete phrases like
EGFR
Lung Cancer
Lung
Cancer
and I want to match these when searching the phrase 'EGFR related lung
cancer
My
Dear All！
How can i recover deleted indux? or how to backup the index?
Thanks Best Regard!
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On Wed, Jul 23, 2014 at 10:19 AM, mich...@modernmast.com wrote:
Looking at the JVM GC graphs, I do see some increases there, but not sure
those are enough to cause this storm?
hi,
how can i force my custom kibana panel to be filtered by a query?
now it only gets filtered if I save the dashboard with the new query and
then I refresh the page
¿maybe something lacks in the code in order for renderinge getting invoke
after query changes?
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To view this
To create and restore backups, use the Snapshots And Restore
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-snapshots.html
APIs.
On Wednesday, July 23, 2014 10:58:23 AM UTC-4, 闫旭 wrote:
Dear All！
How can i recover deleted indux? or how to backup the index?
No, the VM does not response to curl requests. Closest thing I found to
that read bytes in the API was the _cluster/stats endpoint
-- https://gist.github.com/schonfeld/d45401e44f5961c38502
Were you referring to a different endpoint?
What're your thoughts re angry hardware? Insufficient
#create a test index with shingle mapping
curl -XPUT localhost:9200/test -d '{
settings:{
index:{
analysis:{
analyzer:{
analyzer_shingle:{
tokenizer:standard,
filter:[standard, lowercase, filter_stop,
Hi all,
I have installed elasticserarch 1.2.1, and IMAPRiver
plugin elasticsearch-river-imap-0.0.7-b20 with
elasticsearch-mapper-attachments-2.2.0-SNAPSHOT.
[2014-07-23 11:56:44,304][INFO ][node ] [Shiver Man]
version[1.2.1], pid[28748], build[6c95b75/2014-06-03T15:02:52Z]
How do you know that it has not been indexed?
You can't rely on the _source field. It sounds like attachment are here in
attachments field.
It looks good to me.
May be you should check that the mapping is correct and attachments field has
attachment type?
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Hey guys.
I'm curious to know what are the limitations of an array type field? I'm
using ES to store an array of social-network follower IDs for each of my
users, and this can sometimes get big (10M+ items). Is this okay with
arrays? Or should I be using something else like a nested type? My
Hi David,
I have checked if the attachment type matches the attachment type:
contentType : text/csv; charset=us-ascii and it does.
A search by a keyword in the the attachment brings up nothing. However if
I do a mime64 decode on the attachment (content filed) shows that the
attachment is
What kind of query are you running?
--
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@dadoonet | @elasticsearchfr
Le 23 juillet 2014 à 19:02:31, Gabriel Kapitany (gkapit...@gmail.com) a écrit:
Hi David,
I have checked if the attachment type matches the attachment type:
contentType :
query:
curl -XGET 'http://localhost:9200/imapriverdata/_search' -d '{
query : {
match : { _all : alpha }
}
}
'
response:
{took:3,timed_out:false,_shards:{total:5,successful:5,failed:0},hits:{total:0,max_score:null,hits:[]}}
Thanks,
Gabriel
On Wednesday, July 23, 2014 12:31:31
Could you try:
curl -XGET 'http://localhost:9200/imapriverdata/_search' -d '{
query : {
match : { attachments : alpha }
}
}
'
Also what gives:
GET /imapriverdata/_mapping?pretty
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@dadoonet | @elasticsearchfr
Le 23 juillet
Ivan, thank you feeding my curiosity! The first one really gave me an
a-ha! moment when I saw the images of the synonym matching as directed
graphs. It put some insight as to why my multi-token synonyms were being
expanded a certain way.
On Tuesday, July 22, 2014 4:37:45 PM UTC-5, Ivan Brusic
Heap size isn't total memory size. Its size for java to allocate stuff.
There are tons of other memory costs but the rule of thumb is to set heap
to no more then 30GB and around half of physical memory. I imagine docker
is complicating things.
I'm not sure what docker does with memory mapped
Changing the query from *_all* to* attachments* doesn't change the result
and the second query returns:
{
imapriverdata : {
mappings : {
imapriverstate : {
properties : {
errormsg : {
type : string
},
exists : {
type :
Hello,
Today I did performance tests (some kind of) between Linode 4GB and AWS
t2.medium - just to see which one is faster in this situation.
Test results are quite similar between these two - which is a bit
interesting (or probably not - let me know what do you think), because AWS
t2.medium
In the end, all the documents end up in the same Lucene index, and while
Lucene is schema-less, all similarly named fields must be the same type.
Types are useful in Elasticsearch to separate different type
configurations, but will fail on similarly named fields.
There is some work being done to
How do you estimate the memory to configure?
Here is my rough estimation:
Docker limit = 10G
Kernel, OS services etc. ~ 1G
OS filesystem cache for ES ~50% of 10G ~ 5G
ES JVM + direct buffer + heap = 10G - 1G - 5G ~ 4G
So when you estimate for ES JVM + direct buffers ~1G, you have left 3G
That's what I thought.
attachments does not have attachment type.
attachments : {
properties : {
content : {
type : string
},
contentType : {
type : string
},
filename : {
On Wed, Jul 23, 2014 at 11:07 PM, Aivis Silins aivis.sil...@gmail.com wrote:
Hello,
Today I did performance tests (some kind of) between Linode 4GB and AWS
t2.medium - just to see which one is faster in this situation.
Test results are quite similar between these two - which is a bit
my es log is :
org.elasticsearch.transport.RemoteTransportException: [Yuriko
Oyama][inet[/10.0.8.102:19300]][search/phase/query]
Caused by: org.elasticsearch.search.query.QueryPhaseExecutionException:
[matrix][1]: query[filtered(name:北京 西路^20.0 tags:北京 西路^5.0 intra:北京
西路 region:北京 西路^2.0
Has anyone else seen this plugin? http://siren.solutions/siren/overview/
There was some discussion between one of the developers and Jorg a while
back, so I guess this is the outcome. Have not tried it yet, but I will
give it a shot this weekend. I am hoping that it can fix a longstanding
issue
Hey Dave,
Thanks a lot for all your help,
Gabriel
On Wednesday, July 23, 2014 12:31:31 PM UTC-4, Gabriel Kapitany wrote:
Hi all,
I have installed elasticserarch 1.2.1, and IMAPRiver
plugin elasticsearch-river-imap-0.0.7-b20 with
elasticsearch-mapper-attachments-2.2.0-SNAPSHOT.
I have 3 ElasticSearch nodes in a cluster on AWS EC2. My client apps use
connection pooling and have the public IP addresses for all 3 nodes in
their config files.
The problem I have is that EC2 seems to occasionally reassign public IP
addresses for these instances. They also change if I
I noticed Siren has an example of 1000 library catalog records from British
Library prepared in JSON
https://github.com/sindicetech/siren/blob/master/siren-elasticsearch-demo/src/example/datasets/bnb/
From what it seems, Siren can index a tree (semi-structured data), using
positional nodes, then
Thanks for the link. Unfortunately, Chrome on Mac OS (latest versions of
each) causes this web page to blank and redisplay continually. Can't read
it; hope you can.
In a previous life, I created a search engine that handled parent/child
relationships with blindingly fast performance. One trick
Hi,
I came up with something but I am not sure this is optimal.
Can you let me know what I could improve?
{
query: {
bool: {
must: [
{has_child : {
type : books,
score_mode: sum,
query : {
I use this script to inspect data in various docs from ES.
{
query: {
match_all: {}
},
sort: {
_script: {
script: if(doc['site'].values.contains(12)){return
'foo'}else{return doc['dataX'].values },
type: string,
order: desc
}
}
}
The only important part of
Correction: I get somewhere around 220 characters in that String NOT 40-50
as I originally mentioned.
On Wednesday, 23 July 2014 15:36:10 UTC-4, Adrian wrote:
I use this script to inspect data in various docs from ES.
{
query: {
match_all: {}
},
sort: {
_script: {
Hi Igor,
I wrote a code to sort on custom script( based on ES documentation
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-sort.html
), but it doesn't work.
Here are the code and the error message. Any suggestion?
/ journalscorenormal -- the field's
How can I exclude exact phrases with a filter?
Lets say I want to search for heaven is blue but exclude exact phrase
nature books. I understand I can use a bool query with must must_not,
but is there a way to filter exact phrases like the example below, but
instead of terms, I use
You can wrap any query with a query filter:
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-query-filter.html
--
Ivan
On Wed, Jul 23, 2014 at 1:52 PM, IronMike sabdall...@gmail.com wrote:
How can I exclude exact phrases with a filter?
Lets say I want to
I found the error !!
enable dynamic scripting in config file
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-scripting.html
On Wednesday, July 23, 2014 3:05:11 PM UTC-5, M_20 wrote:
Hi Igor,
I wrote a code to sort on custom script( based on
Heya,
We are pleased to announce the release of the Elasticsearch ICU Analysis
plugin, version 2.3.0.
The ICU Analysis plugin integrates Lucene ICU module into elasticsearch, adding
ICU relates analysis components..
https://github.com/elasticsearch/elasticsearch-analysis-icu/
Release Notes
Heya,
We are pleased to announce the release of the Elasticsearch Stempel (Polish)
Analysis plugin, version 2.3.0.
The Stempel (Polish) Analysis plugin integrates Lucene stempel (polish)
analysis module into elasticsearch..
https://github.com/elasticsearch/elasticsearch-analysis-stempel/
Heya,
We are pleased to announce the release of the Elasticsearch Japanese (kuromoji)
Analysis plugin, version 2.3.0.
The Japanese (kuromoji) Analysis plugin integrates Lucene kuromoji analysis
module into elasticsearch..
https://github.com/elasticsearch/elasticsearch-analysis-kuromoji/
Heya,
We are pleased to announce the release of the Elasticsearch Smart Chinese
Analysis plugin, version 2.3.0.
Smart Chinese Analysis plugin integrates Lucene Smart Chinese analysis module
into elasticsearch..
https://github.com/elasticsearch/elasticsearch-analysis-smartcn/
Release Notes
Heya,
We are pleased to announce the release of the Elasticsearch Phonetic Analysis
plugin, version 2.3.0.
The Phonetic Analysis plugin integrates phonetic token filter analysis with
elasticsearch..
https://github.com/elasticsearch/elasticsearch-analysis-phonetic/
Release Notes -
Hi!
I'm new in ES.
I have a quick question.
Does filtr range on _id field work faster than on another field mapped to
integer?
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Heya,
We are pleased to announce the release of the Elasticsearch Python language
plugin, version 2.3.0.
The Python language plugin allows to have python as the language of scripts to
execute..
https://github.com/elasticsearch/elasticsearch-lang-python/
Release Notes -
If you want to use more than 1024 terms, you will hit the Lucene max clause
limit.
Managing array is not a good idea with 10M+ items. You'd have to iterate it
by yourself for appending/modifying which will take a very long time (and
space).
Maybe you find this interesting for your model design
The current ES docs reference Java 7
u60:
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/_installation.html#_installation
Lucene seems to just say u55 or
higher: http://lucene.apache.org/core/4_9_0/SYSTEM_REQUIREMENTS.html
Has anyone used/verified ES with OpenJDK 7u65?
Thanks for the response, Jörg.
When I filter by follower_ids, I actually use Elasticsearch's terms lookup
feature, so I never run into the 1024 max clause limit.
That said, because I append 5k IDs to that field at a time, you are correct
-- appending 5k IDs to an array with millions of
I am actually wondering the same thing. Is there a way to query ES from
within a Kibana dashboard script in order to make decisions on how to
layout our dashboard? I tried using the ElasticSearch-js API (copy and
pasted the entire API into the dashboard script) but there's no way to use
the
Heya,
We are pleased to announce the release of the Elasticsearch JavaScript language
plugin, version 2.3.0.
The JavaScript language plugin allows to have javascript as the language of
scripts to execute..
https://github.com/elasticsearch/elasticsearch-lang-javascript/
Release Notes -
If this is production you really want an odd number of nodes to reduce
potential split brain issues.
However in your case, just add the new node to the cluster, let it
replicate across, then shutdown the node you no longer want. Any impact
will be minimal.
Regards,
Mark Walkom
Infrastructure
Depends what your hardware profiles are like, and a bunch of other things
related to you and your environment.
eg If you have high end servers then it makes sense to put your heavy
read/write indexes into a cluster on those, then leave the rest for more
average machines.
We have multiple clusters
Thanks Mark! We're deploying on EC2 (always a good time). Seems like the
mixture of different indices that have different usage profiles is leading
to some performance issues that a dedicated cluster would be more
appropriate for.
On Wednesday, July 23, 2014 7:04:34 PM UTC-4, Mark Walkom
http://www.elasticsearch.org/blog/elasticsearch-1-3-0-released/
Today, we are happy to announce the release of *Elasticsearch 1.3.0*, based
on* Lucene 4.9*, along with a bugfix release of *Elasticsearch 1.2.3*.
You can download them and read the full changes list here:
- Latest stable
We are reindexing an index with following attributes:
- Size ~3TB
- Ever increasing (new records are pumped at high volume during peak
hours)
Is there a clean way to resume an interrupted reindexing process?
Does elastic search provides a way to persist the scrolls? If we can use
1. Fix the unicast discovery list to contain the two nodes you'll end up
with. Make sure the cluster name matches.
2. Start the new node.
3. Watch it join the cluster. If it doesn't then check step 1 and repeat 2
until it works.
4. Use the allocation filtering API to ban all shards from the node
Kindly enough, the queries being used in Kibana are mostly shown via the
information icon i. But unfortunately there´s no query shown for the
micro analyses of specific fields and I wonder about their structure
actually.
Let me explain:
For example the micro analysis for the field
in order to save this problem, i have try many ways to search.
these ways is ok :
{
bool : {
must : {
query_string : {
query : \采莲新村\,
fields : [ name^200, tags^5, intra^1, region^2,
address^2 ]
}
},
minimum_should_match : 1
}
}
{
bool : {
must
is the bigdesk plugin still supported in the new release?
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Finally! the node can now added/remove to the cluster with only four lines
cluster.name: Cluster
node.name: [node?]
discovery.zen.ping.multicast.enabled: false
discovery.zen.ping.unicast.hosts: [node?]
May next question is, where can I dump the data sources (using S3 or EBS),
why?
Then, how
Hello,
Is it possible to have a 'match_phrase' query which does not do any scoring
during search?
I know that using 'query filter' or wraps a query in 'constant_score query'
return documents with constant score. But as I know, what they do is
cutting of the evaluated score, i.e. the score
In fact, not only 'match_phrase', we want to eliminate scoring of all
queries.
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