I have the following SQL statement, I want to use ES7.13 implementation, please ask how I should write the code.
SELECT created_at from customer WHERE DATE_FORMAT(created_at,'%m') = '06'
Your question is about querying specific month in date. So the solution is to use script
POST /customer/_search
{
"query": {
"filter" : {
"script" : {
"script" : {
"source": "doc['created_at'].value.getMonthValue() == 6",
"lang": "painless"
}
}
}
}
}
Reference: https://www.elastic.co/guide/en/elasticsearch/painless/current/painless-datetime.html
Es7.13 uses the following code
POST /customer/_search
{
"query": {
"bool": {
"filter" : {
"script" : {
"script" : {
"source": "doc['created_at'].value.getMonthValue() == 6",
"lang": "painless"
}
}
}
}
}
}
Related
I am struggling with Firestore REST API. Database have a collection with Users. Every user is separate document. I need to get all users with, for example, category equal 1. Here is my attempt (request body):
{
"structuredQuery": {
"where" : {
"fieldFilter" : {
"field": { "fieldPath" : "category" } ,
"op":"EQUAL",
"value": { "integerValue" : 1 }
}
}
}
}
and response error:
"error": {
"code": 400,
"message": "kind is required for filter: category",
"status": "INVALID_ARGUMENT"
}
I have totaly no idea, how "field" inside "fieldFilter" should looks like. Thanks in advance.
I believe if you include the "from" property of the structured query, this will work. If the collection you're querying from is called "users" it would look like this, based on what you posted above:
{
"structuredQuery": {
"where" : {
"fieldFilter" : {
"field": {"fieldPath": "category"},
"op":"EQUAL",
"value": {"integerValue": 1}
}
},
"from": [{"collectionId": "users"}]
}
}
actually i want those record from my db where description is blank, below the mysql query for my result and what should be query in elasticsearch for same result ?
SELECT * FROM products WHERE description != '';
Elastic Search query looks like this
POST http://localhost:9200/<index>/<indextype>/_search
{
"query": {
"filtered": {
"filter": {
"term": {
"description": ""
}
}
}
}
}
Still its not working, check your mapping should be like this.
PUT http://localhost:9200/<index>/<indextype>/_mapping
{
"products": {
"properties": {
"description": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
If you want the result with description != '' then use below query.
Missing Filter in the Must-Not section of a Bool Filter. It will only return documents where the field exists, and if you set the "null_value" property to true, values that are explicitly not null.
{
"query": {
"filtered": {
"filter": {
"bool":{
"must":{},
"should":{},
"must_not":{
"missing":{
"field":"description",
"existence":true,
"null_value":true
}
}
}
}
}
}
}
my query is like this:
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"online": 1
}
},
{
"terms": {
"mediaType": "flash"
}
}
]
}
}
}
}
}
it raise a QueryParsingException [[comos_v2] [terms] filter does not support [mediaType]],of which the field "mediaType" exactly does not exist in mapping.
my question is why term filter does not raise the Exception?
The above is not a valid Query DSL. In the above Terms filter the values to "mediaType" field should be an array
It should be the following :
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"term": {
"online": 1
}
},
{
"terms": {
"mediaType": ["flash"]
}
}
]
}
}
}
}
}
Its 2021 I'm using .keyword for an exact text match but you can just as easily omit:
{"query":
{"bool":
{"must":
[
{"term":
{"variable1.keyword":var1Here}
},
{"term":
{"variable2.keyword":var2Here}
}
]
}
}
}
Its simply a matter of "term" vs "terms". Very easy to miss the plural / single aspect of it.
I had a very similar error with this query, in which I was trying to delete a specific zone:
'{"query":{"terms":{"zoneid":25070}}}'
I was getting an error when I ran the above query.
As soon as changed "terms" to "term" the query executed with no issues, like this:
'{"query":{"term":{"zoneid":25070}}}'
I have a document indexed in my elastic search like:
{
...
purchase:{
zones: ["FR", "GB"]
...
}
...
}
I use this kind of query to find for example document with puchase's zone to GB
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"term": {
"purchase.zones": "GB"
}
}
}
}
}
But with it i get no results...
I would like to perform a query like in php in_array("GB", purchase.zones).
Any help would be very helpful.
If your "purchase" field is nested type then you have to use nested query to access the "zones".
{
"nested" : {
"path" : "obj1",
"score_mode" : "avg",
"query" : {
"bool" : {
"must" : [
{
"match" : {"obj1.name" : "blue"}
},
{
"range" : {"obj1.count" : {"gt" : 5}}
}
]
}
}
}
}
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-nested-query.html
I am attempting to run an ElasticSearch search using the following query. Please pardon my ignorance, as I'm new to ES, and I've sorta cobbled this together by trial and error trying to follow the documentation. Basically, the only parts that are working as expected are the from, size, sort, and the match on severity. Thank you in advance for the assist!
{
"from":0,
"size":50,
"sort":{"timestamp":{"order":"desc"}},
"query":[
{
"range":{
"timestamp":{"gte":"2013-11-18T05:00:00+00:00","lte":"2013-12-02T05:00:00+00:00"}
}
},
{
"query":{
"match":{"severity":{"query":"medium","operator":"or"}}
}
},
{
"query":{
"constantScore":{
"filter":{
"query":{
"query_string":{"default_field":"_all","query":"10.1.10.22"}
}
}
}
}
}
]
}
I think you need to read more about Query DSL. Here's the correct query based on your input:
{
"query": {
"query_string": {
"default_field": "_all",
"query": "10.1.10.22"
}
},
"filter": {
"bool": {
"must": [
{
"range": {
"timestamp": {
"gte": "2013-11-18T05:00:00+00:00",
"lte": "2013-12-02T05:00:00+00:00"
}
}
},
{
"term": {
"severity": "medium"
}
}
]
}
}
}
The above query can be explained as:
- filter the data first using bool filter, "must" here can be understood as "AND". So the data will be filter by "timestamp in range..." AND "serverity=medium"
- then search the filtered data using "query_string"
That will make your searching much more faster.
In any case, your query is not formatted correctly. If you want to combine multiple queries you can use the bool query. See the docs: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html