I am using latest version of GreenDAO... I am missing something on using the data from the DB.
I need to prevent the creation of records that have the same PROFILE_NUMBER. Currently during testing I have inserted 1 record with the PROFILE_NUMBER of 1.
I need someone to show me an example of how to obtain the actual value of the field from the db.
I am using this
SvecPoleDao svecPoleDao = daoSession.getSvecPoleDao();
List poles = svecPoleDao.queryBuilder().where(SvecPoleDao.Properties.Profile_number.eq(1)).list();
and it obtains something... this.
[com.example.bobby.poleattachmenttest2_workingdatabase.db.SvecPole#bfe830c3.2]
Is this serialized? The actual value I am looking for here is 1.
Here is the solution.You'll need to use listlazy() instead of list().
List<SvecPole> poles = svecPoleDao.queryBuilder().where(SvecPoleDao.Properties.Profile_number.eq(1)).listLazy();
Let's say for example I have a bridge table called PersonAnimal. I want to search for all the people who have a given animal's ID. The query so far looks like:
Animal animal = getById(Animal.class, animalId)
ObjectSelect
.query(PersonAnimal.class)
.where(PersonAnimal.ANIMAL.eq(animal))
.select(context)
However the first line in the above code segment shows that I first have to retrieve the related object from the database. I want to get rid of that database lookup and instead do something like:
ObjectSelect
.query(PersonAnimal.class)
.where(PersonAnimal.ANIMAL_ID.eq(animalId)) // <- Find by ID instead
.select(context)
Is that possible?
I am running version 4.1 of the Apache Cayenne ORM.
Just as I posted the question I found the answer. You need to create an Expression using a Property object like so:
val findByIdExpr = Property.create(PersonAnimal.ANIMAL.name, Long::class.java).eq(yourId)
val gotList = ObjectSelect
.query(PersonAnimal.class)
.where(findByIdExpr)
.select(context)
Above code is in Kotlin but is also easy to understand from a Java perspective.
I'm trying to do upsert using mongodb driver, here is a code:
BulkWriteOperation builder = coll.initializeUnorderedBulkOperation();
DBObject toDBObject;
for (T entity : entities) {
toDBObject = morphia.toDBObject(entity);
builder.find(toDBObject).upsert().replaceOne(toDBObject);
}
BulkWriteResult result = builder.execute();
where "entity" is morphia object. When I'm running the code first time (there are no entities in the DB, so all of the queries should be insert) it works fine and I see the entities in the database with generated _id field. Second run I'm changing some fields and trying to save changed entities and then I receive the folowing error from mongo:
E11000 duplicate key error collection: statistics.counters index: _id_ dup key: { : ObjectId('56adfbf43d801b870e63be29') }
what I forgot to configure in my example?
I don't know the structure of dbObject, but that bulk Upsert needs a valid query in order to work.
Let's say, for example, that you have a unique (_id) property called "id". A valid query would look like:
builder.find({id: toDBObject.id}).upsert().replaceOne(toDBObject);
This way, the engine can (a) find an object to update and then (b) update it (or, insert if the object wasn't found). Of course, you need the Java syntax for find, but same rule applies: make sure your .find will find something, then do an update.
I believe (just a guess) that the way it's written now will find "all" docs and try to update the first one ... but the behavior you are describing suggests it's finding "no doc" and attempting an insert.
I have a solr field visibility that has a set of possible values and I would like to perform a search using Spring Data Solr. I'd like to use in() and boost some but not all values if possible.
Here's an example of the search I need,
visibility:(visible^1000 archived)
or
visibility:(visible^1000 draft^500 archived)
Would this be possible in version 1.0.0.RELEASE or later versions? Currently I'm using 1.0.0.RELEASE.
Thanks, /w
I never managed to chain this query properly, but was enlightened by petrikainulainen.net on SimpleStringCriteria().
Criteria criteria = new SimpleStringCriteria("(visibility:(visible^1000) OR visibility:(draft^500) OR visibility:(archived))");
By doing as shown below you will give far higher boost to the docs that has the category as 'webpage'. Then add 'combined' criteria to your existing other criteria
Criteria webpage= new Criteria("category" ).is("webpage" ).boost((float) 1000);
Criteria document= new Criteria("category" ).is("document" ).boost((float) 2);
Criteria combined= webpage.or( document);
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()));
}
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