I am new to Elastic search.
I have created one Index, and added a mapping file.
Mapping file content:
{
"properties": {
"funds": {
"properties": {
"name": {
"type": "text"
}
}
}
}
}
added one document with _doc/1.
When I search with {"query" : { "match_all" :{} }} using postman tool, data is coming.
Where as when I add filter, getting empty results.
{ "query" : {
"bool" : {
"filter" : [
{
"term" : {
"funds.name" : "xyz"
}
}
]
}
}
}
Can anyone please suggest where I am doing wrong.
You should use a match query instead of a term one since funds.name is analyzed text (i.e. of type text):
{
"query": {
"bool": {
"filter": [
{
"match": { <--- change this
"funds.name": "xyz"
}
}
]
}
}
}
Related
I want the count of each values of a variable based on some filter applied in elastic search. For example, I want all the age groups but on the filter that the students are from California.
The age groups is text field and contains an array like this,
"age_group": ["5-6-years", "6-7-years"]
I kinda want a query like this but this ain't working. It throws an error saying
unable to parse BaseAggregationBuilder with name [count]: parser not found
"student_aggregation": {
"nested": {
path": "students"
},
"aggs": {
"available": {
"filter": {
"term": { "students.place_of_birth": "California" }
},
"aggs" : {
"age_group" : { "count" : { "field" : "students.age_group" } }
}
}
}
}
Request help from you troops.
That's because there's no metric aggregation called count but value_count instead:
"student_aggregation": {
"nested": {
path": "students"
},
"aggs": {
"available": {
"filter": {
"term": { "students.gender": "boys" }
},
"aggs" : {
"age_group" : { "value_count" : { "field" : "students.age_group" } }
^^^
|||
}
}
}
}
UPDATE:
After discussions, the terms aggregation was more appropriate than value_count. After fixing the mapping (which was text instead of keyword), the query worked out correctly
I have the following data index in Elasticsearch with the following syntax:
PUT /try1
{
"mappings" : {
"product" : {
"properties" : {
"name": { "type" : "text" },
"categories": {
"type": "nested",
"properties": {
"range":{"type":"text"}
}
}
}
}
}
}
The range type has an array of words:["high","medium","low"]
I need to access the range element inside the nested category. I tried using the following syntax:
GET /try1/product/_search
{
"query": {
"nested" : {
"path" : "categories",
"query" : {
"bool" : {
"must" : [
{ "match" : {"categories.range": "low"} }
]
}
}
}
}
}
However, I am getting an error with the message:
"reason": """failed to create query:...
Can someone please offer a solution to this?
#KGB can you try to make your query slightly differently like this:
{
"query": {
"bool": {
"must": [
{
"match": {
"categories.range": "low"
}
}
]
}
}
}
{
"query": {
"nested" : {
"path" : "categories",
"query" : {
"bool" : {
"must" : [
{ categories.range": "low"}
]
}
}
}
}
}
This worked perfectly
I am using keyword token analyzer in my elastic search given below
{
"settings" : {
"analysis" : {
"analyzer" : {
"default" : {
"type" : "keyword"
}
}
}
}
}
My order mapping is here
{
"order": {
"_all": {"enabled" : true},
"properties": {
"OrderData": {
"properties": {
"BusinessRuleData": {
.........
}
So now when I querying using the following json
{
"query": {
"bool": {
"must": [
{
"query_string": {
"default_field": "_all",
"query": "SomeText"
}
}
]
}
}
}
I dont get any results for this. Where as if I change my analyzer to "standard" then _all search works fine. Any answers are appreciated.
I think its probably indexed as whole. I think we have to search whole document which does not make sense. So the point is we have to use standard tokenizer for _all indexing.
I am trying to use Elastic Search and I am stuck trying to query for the nested object.
Basically my object is of the following format
{
"name" : "Some Name",
"field2": [
{
"prop1": "val1",
"prop2": "val2"
},
{
"prop1": "val3",
"prop2":: "val4"
}
]
}
Mapping I used for the nested field is the following.
PUT /someval/posts/_mapping
{
"posts": {
"properties": {
"field2": {
"type": "nested"
}
}
}
}
Say now i insert elements for /field/posts/1 and /field/posts/2 etc. I have k values for field2.prop1 and i want a query which gets the posts sorted based on most match of field2.prop1 among the K values i have. What would be the appropriate query for that.
Also I tried a simple filter but even that doesnt seem to work right.
GET /someval/posts/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
}
},
"filter" : {
"nested" : {
"path" : "field2",
"filter" : {
"bool" : {
"must" : [
{
"term" : {"field2.prop1" : "val1"}
}
]
}
},
"_cache" : true
}
}
}
}
The above query should match atleast the first post. But it returns no match. Can anyone help to clarify whats wrong here ?
There was problem in your json structure, you used filtered query , but filter(object) was in different level than query.
Find the difference.
POST /someval/posts/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"nested": {
"path": "field2",
"filter": {
"bool": {
"must": [
{
"term": {
"field2.prop1": "val1"
}
}
]
}
},
"_cache": true
}
}
}
}
}
I have a list, array or whichever language you are familiar. E.g. names : ["John","Bas","Peter"] and I want to query the name field if it matches one of those names.
One way is with OR Filter. e.g.
{
"filtered" : {
"query" : {
"match_all": {}
},
"filter" : {
"or" : [
{
"term" : { "name" : "John" }
},
{
"term" : { "name" : "Bas" }
},
{
"term" : { "name" : "Peter" }
}
]
}
}
}
Any fancier way? Better if it's a query than a filter.
{
"query": {
"filtered" : {
"filter" : {
"terms": {
"name": ["John","Bas","Peter"]
}
}
}
}
}
Which Elasticsearch rewrites as if you hat used this one
{
"query": {
"filtered" : {
"filter" : {
"bool": {
"should": [
{
"term": {
"name": "John"
}
},
{
"term": {
"name": "Bas"
}
},
{
"term": {
"name": "Peter"
}
}
]
}
}
}
}
}
When using a boolean filter, most of the time, it is better to use the bool filter than and or or. The reason is explained on the Elasticsearch blog: http://www.elasticsearch.org/blog/all-about-elasticsearch-filter-bitsets/
As I tried the filtered query I got no [query] registered for [filtered], based on answer here it seems the filtered query has been deprecated and removed in ES 5.0. So I provide using:
{
"query": {
"bool": {
"filter": {
"terms": {
"name": ["John","Bas","Peter"]
}
}
}
}
}
example query = filter by keyword and a list of values
{
"query": {
"bool": {
"must": [
{
"term": {
"fguid": "9bbfe844-44ad-4626-a6a5-ea4bad3a7bfb.pdf"
}
}
],
"filter": {
"terms": {
"page": [
"1",
"2",
"3"
]
}
}
}
}
}