class TsqlQueryEvaluator(object):
"""The main class for preparing and evaluating TigerSearch queries.
A façade class that pulls together the parser and the query builder.
"""
class Context(object):
"""The evaluator context.
Each query evaluator has one context, which is used during query
preparation.
"""
def __init__(self, db, db_provider, corpus_info):
self.db = db
self.db_provider = db_provider
self._nodesearcher = None
self.allow_parallel = True
self.corpus_info = corpus_info
def _use_parallel(self):
return self.db_provider.can_reconnect() and use_parallel_processing and self.allow_parallel
def get_result_builder_class(self, has_constraints):
return ParallelResultBuilder if self._use_parallel() and has_constraints \
else ResultBuilder
@property
def nodesearcher(self):
if self._nodesearcher is None:
self._nodesearcher = NodeSearcher(self.db)
return self._nodesearcher
def __init__(self, db, db_provider, corpus_info):
self._context = TsqlQueryEvaluator.Context(db, db_provider, corpus_info)
self._parser = TsqlParser()
self._query_factory = QueryFactory(self._context)
def new_builder(self):
"""Returns a new query builder.
Query builders can be used to define a TIGERSearch query programmatically rather
than having to create a query string.
"""
return QueryBuilder(self._query_factory)
def set_allow_parallel(self, value):
"""Allow or prohibit use of parallelized processing for the query evaluator."""
self._context.allow_parallel = value
def prepare_query(self, query_str):
"""Creates a query object from a TIGER query string."""
return self._query_factory.from_ast(
self._parser.parse_query(query_str))
def evaluate(self, query_str):
"""Immediately evaluates a TIGER query query."""
return self.prepare_query(query_str).evaluate()
class TsqlQueryEvaluator(object):
"""The main class for preparing and evaluating TigerSearch queries.
A façade class that pulls together the parser and the query builder.
"""
class Context(object):
"""The evaluator context.
Each query evaluator has one context, which is used during query
preparation.
"""
def __init__(self, db, db_provider, corpus_info):
self.db = db
self.db_provider = db_provider
self._nodesearcher = None
self.allow_parallel = True
self.corpus_info = corpus_info
def _use_parallel(self):
return self.db_provider.can_reconnect(
) and use_parallel_processing and self.allow_parallel
def get_result_builder_class(self, has_constraints):
return ParallelResultBuilder if self._use_parallel() and has_constraints \
else ResultBuilder
@property
def nodesearcher(self):
if self._nodesearcher is None:
self._nodesearcher = NodeSearcher(self.db)
return self._nodesearcher
def __init__(self, db, db_provider, corpus_info):
self._context = TsqlQueryEvaluator.Context(db, db_provider,
corpus_info)
self._parser = TsqlParser()
self._query_factory = QueryFactory(self._context)
def new_builder(self):
"""Returns a new query builder.
Query builders can be used to define a TIGERSearch query programmatically rather
than having to create a query string.
"""
return QueryBuilder(self._query_factory)
def set_allow_parallel(self, value):
"""Allow or prohibit use of parallelized processing for the query evaluator."""
self._context.allow_parallel = value
def prepare_query(self, query_str):
"""Creates a query object from a TIGER query string."""
return self._query_factory.from_ast(
self._parser.parse_query(query_str))
def evaluate(self, query_str):
"""Immediately evaluates a TIGER query query."""
return self.prepare_query(query_str).evaluate()
def __init__(self, db, db_provider, corpus_info):
self._context = TsqlQueryEvaluator.Context(db, db_provider,
corpus_info)
self._parser = TsqlParser()
self._query_factory = QueryFactory(self._context)
def __init__(self, db, db_provider, corpus_info):
self._context = TsqlQueryEvaluator.Context(db, db_provider, corpus_info)
self._parser = TsqlParser()
self._query_factory = QueryFactory(self._context)
