Never ever use this method in Weight implementations. Prints a query to a string, with field assumed to be the default field and omitted.ĭeprecated. Sets the boost for this query clause to b.
queries)Įxpert: Merges the clauses of a set of BooleanQuery's into a single BooleanQuery.Įxpert: Called to re-write queries into primitive queries. If you have been already familiar with Elasticsearch, then it is very easy for you to catch up with CouchDB + Clouseau as they are using the same Lucene Syntax.
Static Query mergeBooleanQueries(BooleanQuery. Start from CouchDB v3, CouchDB can build and query full-text search indexes using an external Java service that embeds Apache Lucene. Instead of using "runtime" subclassing/delegation, subclass the Weight instead. Similarity getSimilarity(Searcher searcher)ĭeprecated. The following table shows the different class methods − S.No.Įxpert: Called when re-writing queries under MultiSearcher.Įxpert: Constructs an appropriate Weight implementation for this query.Įxpert: Adds all terms occurring in this query to the terms set. The following table shows a class constructor − S.No. Class Declarationįollowing is the declaration for .Query class − Doing this may give us more control over what the user can and can't do but we should investigate multiple options here and weigh them up.Query is an abstract class and contains various utility methods and is the parent of all types of queries that Lucene uses during search process. The default Solr query syntax used to search an index uses a superset of the Lucene query syntax. If we did not use the Elasticsearch query parsers then we would need to implement one ourselves. It may open up to leaking data that the user should not have access to due to querying a field they should not be able to see OR even timing based attacks on querying fields documents they should not have access to.
We also need to consider any possible security or performance implications of allowing the user to have lower level control of their queries. We can possibly using Elasticsearch's string syntax instead of Elasticsearch simple query string syntax but we need to consider the possible downsides which include the fact that query string syntax may return errors to users and simple query string never errors. I believe the only real way to implement this query syntax is to implement a parser of some kind. The standard is incredibly widespread and we half implemented it using regexes with no warning/error to users when our regexes aren't interpreting their syntax correctly. The main reason a user would expect these filter syntax to compose a certain way is that it's pretty much how all advanced search developer tooling behaves. The value of the header property QUERY is a Lucene Query. Queries are sent via the incoming exchange contains a header property name called QUERY. We can see examples of user confusion at #273162 (closed) and our documentation is not clear at all how/if there is any way to compose these filters with our boolean operators as a user might expect. The query uses the searchable index to perform score & relevance based searches. You can see some discussion about this in !48637 (comment 465730253) where we planned to add more regex based filters on top of our queries. the filename: filters) are not actually being interpreted by the simple query string parser and therefore do not compose reliably with boolean filters though they can accidentally compose with implicit AND operator. This already is creating a confusing user experience because the regex parts (eg. Today our searches are implemented using a combination of Regexes and Elasticsearch simple query string syntax.
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