Hello All
I have multi index from different input.
Ex:
One of MongoDB : One of MySQL ; One of Accesslog.
User information in the MySQL. User Behavior in ther Mongodb. IP in the
accesslog.
User information include User account, book name, book id
User Behavior include book id, what is user's
Hello
Where can found a lot of script fields document??
I saw values.length or values.size .
But, I don't found a lot of function with elasticsearch.org.
Thanks
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Hello
Why does not like Mysql count(DISTINCT userId, prdId) ??
{
facets: {
book: {
terms: {
fields: [
userId,prdId
],
size: 10,
order: count
}
}
},
size: 0
}
result :
facets: {
Thanks Binh
But, In elasticsearch, How to count the number of terms returned in the
facet array?
I found the doc. Not include facet array length function.
Do you have any suggest??
Thanks again.
Binh Ly於 2014年3月4日星期二UTC+8上午4時16分42秒寫道：
The terms facet will use a combo of term values from
Hello
I used kibana for report.
In Chrome plugin - sense
POST /readinglog/_search
{
query: {
filtered: {
query: {
match: {
userId: (Goolge)b...@gmail.com
}
}
}
},
facets: {
user: {
I mean like mysql query
select count( distinct id ) from tablename;
Thanks
Nick Chang於 2014年2月27日星期四UTC+8下午2時51分39秒寫道：
Hello
I want to analysis who read the how many books?
When bookid is duplicate, I don't want to count.
POST /bookdatas/_search
{
size: 0,
facets
Hello Binh
Thanks.
It's my query
{
query : {
bool: {
must: [
{query_string: {
query: \(Google)b...@gmail.com\
}}
],
must: [
{query_string: {
query:
Hello
I have column include special symbol.
Ex:
user : (Google)a...@gmail.com
I want to count.
POST /datas/_search
{
facets: {
terms: {
terms: {
field: user,
size: 10
}
}
}
}
But, result is not right.
term: gmail.com,
count:
Hello Binh
I used elasticsearch-river-mongo plugin.
How to modify this index??
Thanks for your reply
Binh Ly於 2014年2月26日星期三UTC+8下午11時03分29秒寫道：
You'll likely need that field to be unanalyzed (i.e. tell ES not to cut it
up in the index). One way is to predefine that field in your mapping
Hello
I already solve this problem. Your suggest is right.
Thanks
Nick
Binh Ly於 2014年2月26日星期三UTC+8下午11時03分29秒寫道：
You'll likely need that field to be unanalyzed (i.e. tell ES not to cut it
up in the index). One way is to predefine that field in your mapping as:
user: {
type: string,
--
David ;-)
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
Le 11 févr. 2014 à 05:02, Nick Chang nick@kland.com.tw javascript:
a écrit :
Hello
From Mongodb and MySQL.
It's a different input data.
So, I can't add ProductName to first documents.
Thanks
David Pilato於 2014年2月10日星期一
Hello All
I have two index.
index1 :
GET /_all/_search?pretty
{
facets: {
terms: {
terms: {
field: prdId,
size: 9,
order: count,
exclude: []
},
facet_filter: {
fquery: {
query: {
filtered: {
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Le 10 février 2014 at 11:03:27, Nick Chang
(nick@kland.com.twjavascript:)
a écrit:
Hello All
I have two index.
index1 :
GET /_all/_search
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