Why is my very simple ElasticSearch query failing, SearchPhaseExecutionException - elasticsearch

Im trying to do a search for "dog chew" in the invention-title field in my PatentGrants type.
query url: POST http://localhost:9200/patents/patentGrants/_search
query body:
{
"query": {
"match_all": {
"invention-title": "dog chew"
}
}
}
Below is a picture of the data in my patents index and below that is a picture of my query and the error message.

Try this:
{
"query": {
"match": {
"inventionTitle": "dog chew"
}
}
}
The field name in the screenshot is inventionTitle not invention-title.
https://www.elastic.co/guide/en/elasticsearch/reference/1.6/query-dsl-match-all-query.html - use match instead of match_all. match_all doesn't accept a search query.

Related

ElasticSearch query text

My index data is
{
"full_name":"Edwin Powell Hubble",
"job": "IT"
}
{
"full_name":"John Edwin",
"job": "Accountant"
}
{
"first_name":"Eric Petterson",
"job": "Accountant"
}
I am not sure if anyone could help me to build a query to get data that have full_name as Edwin. It tried with term query seem not really work.
Since full_name can be of any length and should be analyzed when indexed, I believe you have mapped the attribute as of type text.
For the same reason I also believe you will have requirements to return results as 'Edwin Powell Hubble' and 'John Edwin' when searched with 'Edwin' and return 'Edwin Powell Hubble' when search with 'Edwin Pow'
match_phrase_prefix should help you with these use cases.
GET /_search
{
"query": {
"match_phrase_prefix": {
"full_name": "Edwin"
}
}
}
You can use the match query to get data that have full_name as Edwin
{
"query": {
"match": {
"full_name": "edwin"
}
}
}
Term query works on exact text match, so you will not get any document for Edwin since there is no data in your sample index data that have a match for full_name as Edwin

How to query two different fields with different query terms in same request. ElasticSearch 5.x

new to ElasticSearch - start loving it. I am working on a Rails application (using elasticsearch-rails / elasticsearch-model).
I have two fields - both strings consisting of Tags.
about_me & about_you
Now I was to query the about_you of another user with the current users about_me.
At the same time, I wish to query the about_me of the other users with the about_you of the current user.
Does this make sense? Like two fields, two queries and each query is aimed at a particular field.
I just need a hint how this can be achieved in ES. For the sake of completeness, here is the part method I created in my rails model - it is incomplete:
def home_search(query_you, query_me)
search_definition =
{
query: {
multi_match: {
query: query_me,
fields: ['about_you']
}
..... SOMETHINGs MISSING HERE ..... ?
},
suggest: {
text: query,
about_me: {
term: {
size: 1,
field: :about_me
}
},
about_you: {
term: {
size: 1,
field: :about_you
}
}
}
}
self.class.__elasticsearch__.search(search_definition)
end
Any help, link or donations are welcome. Thank you!
I'm not sure I've understood your question but I can suggest two options:
First Use a bool query of type should and minimum_should_match=1. In this case you can write two queries for you'r searches. and If you want to distinguish between results you can pass a _name parameter in each query. something like this:
{
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"multi_match": {
"query": "query_me",
"fields": [
"about_you"
],
"_name": "about_you"
}
},
{
"multi_match": {
"query": "query_you",
"fields": [
"about_me"
],
"_name": "about_you"
}
}
]
}
}
}
By providing _name you can see which queries are hitted in your search result.
The second approach could be a _msearch query which in which you can pass multiple queries to the endpoint and get the results back.
Here are some useful links:
Bool Query
Named Queries

Query fetching case-sensitive results in elasticsearch

I have a field like this in my indexed documents
"screen_name : "9GAG"
And this is my query:
{
"query": {
"term": {
"screen_name": "9gag"
}
}
}
Im getting zero hits. But when I replace "9gag" with "9GAG" it works fine. Why is this happening and how can this be fixed?

How do I search within an list of strings in Elastic Search?

My data has a field localities which is an array of strings.
"localities": [
"Mayur Vihar Phase 1",
"Paschim Vihar",
"Rohini",
"",
"Laxmi Nagar",
"Vasant Vihar",
"Dwarka",
"Karol Bagh",
"Inderlok" ]
What query should I write to filter the documents by a specific locality such as "Rohini"?
A simple match query will be enough (if you don't know the mapping of your localities field).
POST <your index>/_search
{
"query": {
"match": {
"localities": "Rohini"
}
}
}
If the localities field is set as a string type and index as not_analyzed, the best way to query this is to use a term filter, wrapped in a filtered query (you can't use directly filters) :
POST <your index>/_search
{
"query": {
"filtered": {
"filter": {
"term": {
"localities": "Rohini"
}
}
}
}
}
If you doesn't need the score, the second solution is the way to go as filters doesn't compute score, are faster and cached.
Check the documentation for information about analysis which is a very important subject in ElasticSearch, heavily influencing the way you query.
POST /_search
{
"query": {
"match": {
"localities": "Rohini"
}
}
}
Or you can simply query:
GET /_search?q=localities:Rohini

elasticsearch - confused on how to searching items that a field contains string

This query is returning fine only one item "steve_jobs".
{
"query": {
"constant_score": {
"filter": {
"term": {
"name":"steve_jobs"
}
}
}
}
}
So, now I want to get all people with name prefix steve_. So I try this:
{
"query": {
"constant_score": {
"filter": {
"term": {
"name": "steve_"
}
}
}
}
}
This is returning nothing. Why?
I'm confused about when to use term query / term filter / terms filter / querystring query.
What you need is Prefix Query.
If you are indexing your document like so:
POST /testing_nested_query/class/
{
"name": "my name is steve_jobs"
}
And you are using the default analyzer, then the problem is that the term steve_jobs will be indexed as one term. So your Term Query will never be able to find any docs matching the term steve as there is no term like in the index. Prefix Query helps you solve your problem by searching for a prefix in all the indexed terms.
You can solve the same problem by making your custom analyzers (read this and this) so that steve_jobs is stored as steve and jobs.

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