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How to query in top level array in couchbase?

I have a couchbase collection where I am storing each record as an array as below
[
{
"id": 1237,
"customerId": 1561
},
{
"id": 1238,
"customerId": 1562
}
]
Now I want to query this array where customerId = xyz;
How do I achieve this using N1 query?

The document it self is scalar ARRAY vs OBJECT it is hard to create index and might need primary index.
INSERT INTO default VALUES("f01", [ { "id": 1237, "customerId": 1561 }, { "id": 1238, "customerId": 1562
} ]);
SELECT u.*
FROM default AS d
UNNEST d AS u
WHERE u.customerId = 1561;

ElasticSearch - fuzzy search java api results are not proper

I have indexed sample documents in elasticsearch and trying to search using fuzzy query. But am not getting any results when am search by using Java fuzzy query api.
Please find my below mapping script :
PUT productcatalog
{
"settings": {
"analysis": {
"analyzer": {
"attr_analyzer": {
"type": "custom",
"tokenizer": "letter",
"char_filter": [
"html_strip"
],
"filter": ["lowercase", "asciifolding", "stemmer_minimal_english"]
}
},
"filter" : {
"stemmer_minimal_english" : {
"type" : "stemmer",
"name" : "minimal_english"
}
}
}
},
"mappings": {
"doc": {
"properties": {
"values": {
"type": "text",
"analyzer": "attr_analyzer"
},
"catalog_type": {
"type": "text"
},
"catalog_id":{
"type": "long"
}
}
}
}
}
Please find my sample data.
PUT productcatalog/doc/1
{
"catalog_id" : "343",
"catalog_type" : "series",
"values" : "Activa Rooftop, valves, VG3000, VG3000FS, butterfly, ball"
}
PUT productcatalog/doc/2
{
"catalog_id" : "12717",
"catalog_type" : "product",
"values" : "Activa Rooftop, valves"
}
Please find my search script :
GET productcatalog/_search
{
"query": {
"match" : {
"values" : {
"query" : " activa rooftop VG3000",
"operator" : "and",
"boost": 1.0,
"fuzziness": 2,
"prefix_length": 0,
"max_expansions": 100
}
}
}
}
Am getting the below results for the above query :
{
"took": 239,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.970927,
"hits": [
{
"_index": "productcatalog",
"_type": "doc",
"_id": "1",
"_score": 0.970927,
"_source": {
"catalog_id": "343",
"catalog_type": "series",
"values": "Activa Rooftop, valves, VG3000, VG3000FS, butterfly, ball"
}
}
]
}
}
But if i use the below Java API for the same fuzzy search am not getting any results out of it.
Please find my below Java API query for fuzzy search :
QueryBuilder qb = QueryBuilders.boolQuery()
.must(QueryBuilders.fuzzyQuery("values", keyword).boost(1.0f).prefixLength(0).maxExpansions(100));
Update 1
I have tried with the below query
QueryBuilder qb = QueryBuilders.matchQuery(QueryBuilders.fuzzyQuery("values", keyword).boost(1.0f).prefixLength(0).maxExpansions(100));
But am not able to pass QueryBuilders inside matchQuery. Am getting this suggestion while am writing this query The method matchQuery(String, Object) in the type QueryBuilders is not applicable for the arguments (FuzzyQueryBuilder)

The mentioned java query is not a match query. It's a must query. you should use matchQuery instead of boolQuery().must(QueryBuilders.fuzzyQuery())
Update 1:
fuzzy query is a term query while match query is a full text query.
Also don't forget that in match query the default Operator is or operator which you should change it to and like your dsl query.

Jayway JsonPath filtering with predicates

I've recently taken up Jayway JsonPath and I've had trouble with how the inpath filtering works.
So my JSON looks like this:
At the top I have shareables. These shareables have an array called user, which contains an ID and a name, and they also contain an item called dataset, which can contain any json.
These shareables can exist within the dataset as well.
My working JSON looks like this:
{
"shareable": {
"user": [
{
"ID": 1,
"Name": "Bob"
},
{
"ID": 2,
"Name": "Charles"
}
],
"dataSet": [
{
"insulinMeasurement":
{
"timestamp": "Tuesday Morning",
"measurement": 174,
"unit": "pmol/L"
}
},
{
"insulinMeasurement":
{
"timestamp": "Tuesday Noon",
"measurement": 80,
"unit": "pmol/L"
}
},
{ "shareable": {
"user": [
{
"ID": 3,
"Name": "Jim"
}
],
"dataSet": [
{
"insulinMeasurement":
{
"timestamp": "Tuesday Evening",
"measurement": 130,
"unit": "pmol/L"
}
}
]
}
},
{ "unshareable": {
"user": [
{
"ID": 2,
"Name": "Bob"
}
],
"dataSet": [
{
"insulinMeasurement":
{
"timestamp": "Tuesday Night",
"measurement": 130,
"unit": "pmol/L"
}
}
]
}
}
]
}
}
So what I want is, all shareables that have a user with a certain ID. So I figured the path I would use would look like this:
$..shareable[ ?(#.user[*].ID == 1 )]
which here has a hardcoded ID. This returns nothing while
$..shareable[ ?(#.user[0].ID == 1 )]
returns any shareable where the first ID is 1.
I also tried something along the lines of
$..shareable[ ?(#.user[?(#.ID == 1)]
which I figure should return any shareable that has a user with an ID of 1.
Am I going about this the wrong way? Do I need to somehow iterate through the user objects that exist?

Well, I figured it out, so if anyone stumbles across this, the query should look as follows:
$..shareable[?( " + user + " in #.user[*].ID )]
where user is just the int of the userId. Basically the right hand side creates a list of all IDs that shareable contains, and checks if the requested ID exists therein.

DynamoDB Nested Query for Set of Object

I have a table called Group and it will have records like:
{
"id": "UniqueID1",
"name": "Ranjeeth",
"emailIdMappings": [
{
"emailId": "r.pt#r.com",
"userId": 324
},
{
"emailId": "r1.pt#r.com",
"userId": 325
}
]
},
{
"id": "UniqueID2",
"name": "Ranjeeth",
"emailIdMappings": [
{
"emailId": "r1.pt#r.com",
"userId": 325
},
{
"emailId": "r2.pt#r.com",
"userId": 326
}
]
}
I need to query and get result if emailId contains the input string.
I have reached so far and I am not able to get the result
AttributeValue attributeValue = new AttributeValue("r.pt#r.com");
Condition containsCondition = new Condition()
.withComparisonOperator(ComparisonOperator.CONTAINS)
.withAttributeValueList(attributeValue);
Map<String, Condition> conditions = newHashMap();
conditions.put("emailIdMappings.emailId", containsCondition);
ScanRequest scanRequest = new ScanRequest()
.withTableName("Group")
.withScanFilter(conditions);
amazonDynamoDB.scan(scanRequest)
dynamoDBMapper.marshallIntoObjects(Group.class, scanResult.getItems());
For the above code I am expecting record with id UniqueID1, but it's empty. If you pass "r1.pt#r.com" then you should get both records.
sdk used is com.amazonaws:aws-java-sdk-dynamodb:1.11.155
I tried posting the question in aws forum which didn't help much.

As you have List of Objects which has two attributes in a object (i.e. emailId and userId), you need to provide both values in order to match the item.
The CONTAINS function will not be able to match the item if the object has two attributes and only one attribute value mentioned in the filter expression.
Otherwise, you need to provide the occurrence (i.e. index) of the list to match the item.
Example:-
emailIdMappings[0].emailId = :emailIdVal

Completion Suggester in elasticsearch in mutifield

I'm using elasticsearch for the first time. I'm trying to use completion suggester in multi-field key, although I don't see any error but I don't get the response.
Mapping creation:
PUT /products5/
{
"mappings":{
"products" : {
"properties" : {
"name" : {
"type":"text",
"fields":{
"text":{
"type":"keyword"
},
"suggest":{
"type" : "completion"
}
}
}
}
}
}
}
Indexing:
PUT /products5/product/1
{
"name": "Apple iphone 5"
}
PUT /products5/product/2
{
"name": "iphone 4 16GB"
}
PUT /products5/product/3
{
"name": "iphone 3 SS 16GB black"
}
PUT /products5/product/4
{
"name": "Apple iphone 4 S 16 GB white"
}
PUT /products5/product/5
{
"name": "Apple iphone case"
}
Query:
POST /products5/product/_search
{
"suggest":{
"my-suggestion":{
"prefix":"i",
"completion":{
"field":"name.suggest"
}
}
}
}
Output:
{
"took": 0,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits": []
},
"suggest": {
"my-suggestion": [
{
"text": "i",
"offset": 0,
"length": 1,
"options": []
}
]
}
}
Please guide me what is the mistake, I tried every possible options.

From the first perspective this looks accurate. Probably the reason why you don't have correct response is that you added documents in the index before you created mapping in the index. And documents are not indexed according to the mapping you specified

I have found an issue in your mapping name. There is an inconsistency between name of the mapping and value which you specifies in the url when you're creating new documents. You create a mapping in the index with the name products. And when you add new documents you're specifying product as a name of the mapping of your index and it doesn't end with s. You have a typo.