Develop Reference

Script fields in hibernate elasticsearch

I'm using hibernate-search-elasticsearch 5.8.2.Final and I can't figure out how to get script fields:
https://www.elastic.co/guide/en/elasticsearch/reference/5.6/search-request-script-fields.html
Is there any way to accomplish this functionality?

This is not possible in Hibernate Search 5.8.
In Hibernate Search 5.10 you could get direct access to the REST client, send a REST request to Elasticsearch and get the result as a JSON string that you would have to parse yourself, but it is very low-level and you would not benefit from the Hibernate Search search APIs at all (no query DSL, no managed entity loading, no direct translation entity type => index name, ...).
If you want better support for this feature, don't hesitate to open a ticket on our JIRA, describing in details what you are trying to achieve and how you would have expected to be able to do that. We are currently working on Search 6.0 which brings a lot of improvements, in particular when it comes to using native features of Elasticsearch, so it just might be something we could slip into our backlog.
EDIT: I forgot to mention that, while you cannot use server-side scripts, you can still get the full source from your documents, and do some parsing in your application to achieve a similar result. This will work even in Search 5.8:
FullTextEntityManager fullTextEm = Search.getFullTextEntityManager(entityManager);
FullTextQuery query = fullTextEm.createFullTextQuery(
qb.keyword()
.onField( "tags" )
.matching( "round-based" )
.createQuery(),
VideoGame.class
)
.setProjection( ElasticsearchProjectionConstants.SCORE, ElasticsearchProjectionConstants.SOURCE );
Object[] projections = (Object[]) query.getSingleResult();
for (Object projection : projections) {
float score = (float) projection[0];
String source = (String) projection[1];
}
See this section of the documentation.

Apache Lucene createWeight() for wildcard query

I'm using Apache Lucene 6.6.0 and I'm trying to extract terms from the search query. Current version of code looks like this:
Query parsedQuery = new AnalyzingQueryParser("", analyzer).parse(query);
Weight weight = parsedQuery.createWeight(searcher, false);
Set<Term> terms = new HashSet<>();
weight.extractTerms(terms);
It works pretty much fine, but recently I noticed that it doesn't support queries with wildcards (i.e. * sign). If the query contains wildcard(s), then I get an exception:
java.lang.UnsupportedOperationException: Query
id:123*456 does not implement createWeight at
org.apache.lucene.search.Query.createWeight(Query.java:66) at
org.apache.lucene.search.IndexSearcher.createWeight(IndexSearcher.java:751)
at
org.apache.lucene.search.BooleanWeight.(BooleanWeight.java:60)
at
org.apache.lucene.search.BooleanQuery.createWeight(BooleanQuery.java:225)
So is there a way to use createWeight() with wildcarded queries? Or maybe there's another way to extract search terms from query without createWeight()?

Long story short, it is necessary to rewrite the query, for example, as follows:
final AnalyzingQueryParser analyzingQueryParser = new AnalyzingQueryParser("", analyzer);
// TODO: The rewrite method can be overridden.
// analyzingQueryParser.setMultiTermRewriteMethod(MultiTermQuery.CONSTANT_SCORE_BOOLEAN_REWRITE);
Query parsedQuery = analyzingQueryParser.parse(query);
// Here parsedQuery is an instance of the org.apache.lucene.search.WildcardQuery class.
parsedQuery = parsedQuery.rewrite(reader);
// Here parsedQuery is an instance of the org.apache.lucene.search.MultiTermQueryConstantScoreWrapper class.
final Weight weight = parsedQuery.createWeight(searcher, false);
final Set<Term> terms = new HashSet<>();
weight.extractTerms(terms);
Please refer to the thread:
Nabble: Lucene - Java Users - How to get the terms matching a WildCardQuery in Lucene 6.2?
Mail archive: How to get the terms matching a WildCardQuery in Lucene 6.2?
for further details.
It seems the mentioned Stack Overflow question is this one: How to get matches from a wildcard Query in Lucene 6.2.

using $addToset with java morphia aggregation

I have mongodb aggregation query and it works perfectly in shell.
How can i rewrite this query to use with morphia ?
org.mongodb.morphia.aggregation.Group.addToSet(String field) accepts only one field name but i need to add object to the set.
Query:
......aggregate([
{$group:
{"_id":"$subjectHash",
"authors":{$addToSet:"$fromAddress.address"},
---->> "messageDataSet":{$addToSet:{"sentDate":"$sentDate","messageId":"$_id"}},
"messageCount":{$sum:1}}},
{$sort:{....}},
{$limit:10},
{$skip:0}
])
Java code:
AggregationPipeline aggregationPipeline = myDatastore.createAggregation(Message.class)
.group("subjectHash",
grouping("authors", addToSet("fromAddress.address")),
--------??????------>> grouping("messageDataSet", ???????),
grouping("messageCount", new Accumulator("$sum", 1))
).sort(...)).limit(...).skip(...);

That's currently not supported but if you'll file an issue I'd be happy to include that in an upcoming release.

Thanks for your answer, I can guess that according to source code. :(
I don't want to use spring-data or java-driver directly (for this project) so I changed my document representation.
Added messageDataSet object which contains sentDate and messageId (and some other nested objects) (these values become duplicated in a document which is a bad design).
Aggregation becomes : "messageDataSet":{$addToSet:"$messageDataSet"},
and Java code is: grouping("messageDataSet", addToSet("messageDataSet")),
This works with moprhia. Thanks.

Using regular Expressions with Mongodb

I am using Java Spring to work with Mongodb. I need to find documents which the word 'manager' is existed in description field. I tried following two method
Method 1
Query query = new Query();
query.addCriteria(Criteria.where("discription").regex("/\bmanager\b/"));
Method 2
Query query = new Query();
Pattern p = Pattern.compile("/\bmanager\b/");
query.addCriteria(Criteria.where("discription").regex(p));
But none of these were worked. I tried it with mongodb console like this
db.test.find({discription: {$regex: /\bmanager\b/}})
It worked as I expected. What's wrong with my Java code.

You don't have to add the slashes in the regex expression, as the regex method takes care of it. So
Query query = new Query();
query.addCriteria(Criteria.where("description").regex("\bmanager\b"));
should work.

It looks like you can just pass your regex string straight through without using Pattern.compile(). Have you tried that?

ElasticSearch - Using FilterBuilders

I am new to ElasticSearch and Couchbase. I am building a sample Java application to learn more about ElasticSearch and Couchbase.
Reading the ElasticSearch Java API, Filters are better used in cases where sort on score is not necessary and for caching.
I still haven't figured out how to use FilterBuilders and have following questions:
Can FilterBuilders be used alone to search?
Or Do they always have to be used with a Query? ( If true, can someone please list an example? )
Going through a documentation, if I want to perform a search based on field values and want to use FilterBuilders, how can I accomplish that? (using AndFilterBuilder or TermFilterBuilder or InFilterBuilder? I am not clear about the differences between them.)
For the 3rd question, I actually tested it with search using queries and using filters as shown below.
I got empty result (no rows) when I tried search using FilterBuilders. I am not sure what am I doing wrong.
Any examples will be helpful. I have had a tough time going through documentation which I found sparse and even searching led to various unreliable user forums.
private void processQuery() {
SearchRequestBuilder srb = getSearchRequestBuilder(BUCKET);
QueryBuilder qb = QueryBuilders.fieldQuery("doc.address.state", "TX");
srb.setQuery(qb);
SearchResponse resp = srb.execute().actionGet();
System.out.println("response :" + resp);
}
private void searchWithFilters(){
SearchRequestBuilder srb = getSearchRequestBuilder(BUCKET);
srb.setFilter(FilterBuilders.termFilter("doc.address.state", "tx"));
//AndFilterBuilder andFb = FilterBuilders.andFilter();
//andFb.add(FilterBuilders.termFilter("doc.address.state", "TX"));
//srb.setFilter(andFb);
SearchResponse resp = srb.execute().actionGet();
System.out.println("response :" + resp);
}
--UPDATE--
As suggested in the answer, changing to lowercase "tx" works. With this question resolved. I still have following questions:
In what scenario(s), are filters used with query? What purpose will this serve?
Difference between InFilter, TermFilter and MatchAllFilter. Any illustration will help.

Right, you should use filters to exclude documents from being even considered when executing the query. Filters are faster since they don't involve any scoring, and cacheable as well.
That said, it's pretty obvious that you have to use a filter with the search api, which does execute a query and accepts an optional filter. If you only have a filter you can just use the match_all query together with your filter. A filter can be a simple one, or a compund one in order to combine multiple filters together.
Regarding the Java API, the names used are the names of the filters available, no big difference. Have a look at this search example for instance. In your code I don't see where you do setFilter on your SearchRequestBuilder object. You don't seem to need the and filter either, since you are using a single filter. Furthermore, it might be that you are indexing using the default mappings, thus the term "TX" is lowercased. That's why when you search using the term filter you don't find any match. Try searching for "tx" lowercased.
You can either change your mapping if you want to keep the "TX" term as it is while indexing, probably setting the field as not_analyzed if it should only be a single token. Otherwise you can change filter, you might want to have a look at a query that is analyzed, so that your query wil be analyzed the same way the content was indexed.
Have a look at the query DSL documentation for more information regarding queries and filters:
MatchAllFilter: matches all your document, not that useful I'd say
TermFilter: Filters documents that have fields that contain a term (not analyzed)
AndFilter: compound filter used to put in and two or more filters
Don't know what you mean by InFilterBuilder, couldn't find any filter with this name.
The query usually contains what the user types in through the text search box. Filters are more way to refine the search, for example clicking on facet entries. That's why you would still have the query plus one or more filters.

To append to what #javanna said:
A lot of confusion can come from the fact that filters can be defined in several ways:
standalone (with a required query, for instance match_all if all you need is the filters) (http://www.elasticsearch.org/guide/reference/api/search/filter/)
or as part of a filtered query (http://www.elasticsearch.org/guide/reference/query-dsl/filtered-query/)
What's the difference you might ask. And indeed you can construct exactly the same logic in both ways.
The difference is that a query operates on BOTH the resultset as well as any facets you have defined. Whereas, a Filter (when defined standalone) only operates on the resultset and NOT on any facets you may have defined (explained here: http://www.elasticsearch.org/guide/reference/api/search/filter/)

To add to the other answers, InFilter is only used with FilterBuilders. The definition is, InFilter: A filter for a field based on several terms matching on any of them.
The query Java API uses FilterBuilders, which is a factory for filter builders that can dynamically create a query from Java code. We do this using a form and we build our query based on user selections from it with checkboxes, options, and dropdowns.
Here is some Example code for FilterBuilders and there is a snippet from that link that uses InFilter as shown below:
FilterBuilder filterBuilder;
User user = (User) auth.getPrincipal();
if (user.getGroups() != null && !user.getGroups().isEmpty()) {
filterBuilder = FilterBuilders.boolFilter()
.should(FilterBuilders.nestedFilter("userRoles", FilterBuilders.termFilter("userRoles.key", auth.getName())))
.should(FilterBuilders.nestedFilter("groupRoles", FilterBuilders.inFilter("groupRoles.key", user.getGroups().toArray())));
} else {
filterBuilder = FilterBuilders.nestedFilter("userRoles", FilterBuilders.termFilter("userRoles.key", auth.getName()));
}
...