► C CirrusSearch\Search\Rescore\FunctionScoreBuilder ► C CirrusSearch\Search\Rescore\BoostFunctionBuilderĬ CirrusSearch\Search\Rescore\BoostedQueriesFunctionĬ CirrusSearch\Search\Rescore\ByKeywordTemplateBoostFunction Transforms arrays based on replacement variable using a syntax to lookup the entry to modify Text='My kitty-cat\'s a pain in the neck.► C CirrusSearch\Maintenance\AnalysisConfigBuilderīuilds elasticsearch analysis config arraysĬ CirrusSearch\Maintenance\SuggesterAnalysisConfigBuilderīuilds elasticsearch analysis config arrays for the completion suggester indexĬ CirrusSearch\Maintenance\AnalysisFilterįilter unused and duplicate entries from elasticsearch index configurationĬ CirrusSearch\Maintenance\AnalyzerBuilderīuilds one elasticsearch analyzer to add to an analysis config array Best to keep an analyzed copy too, if it's meant to be english searchable text. # But if you do this, you need to match on EXACT field contents to search for it. # **NB: Prevent analysis with "keyword" analyzer, or set the index itself as "not_analyzed" in settings.** Text='My kitty-cat\'s a pain in the neck.')) ''' Utility to combine tokens in an analyzer result. # A utility to make analysis results easier to read: # this is the default analyzer ES will use if you don't specify one! Specify one! Local_es.indices.create(index='my_index') # We can inspect analysis with the "analyze" function (or "_analyze" in the curl style). The analyzer named default in the index settings, which defaults to The analyzer named default_search in the index settings, which defaults to The analyzer defined in the field mapping, else The search_analyzer defined in the field mapping, else The analyzer defined in the query itself, else # >.At search time, the sequence is slightly different. ![]() Elasticsearch works through each level until it finds an analyzer that it can use. # >Analyzers can be specified at several levels. # >While we can specify an analyzer at the field level, how do we determine which analyzer is used for a field if none is specified at the field level? ![]() # More on default analysis from the docs (): # The default analyzer (if unspecified!) for string fields is "standard." In a custom analyzer, it would be defined: The Interwebs also suggest "keyword" as the analyzer for a field, but some folks claim it does some simple analyis. # To prevent analysis, you can specify "not_analyzed" on the index itself. # An Analyzer, is in order, a sequence of optional # Analysis is the process of chopping up your text and storing it in a form that can be searched efficiently against. # Analyzers, Defaults, and Preventing Analysis Local_client = client.IndicesClient(local_es) Index=self.index, timeout=60, request_timeout=60, body=]) # Worst case, we initialize with the same settings more than Self.index, self.type_assoc, exc_info=True) Index=self.index, doc_type=self.type_assoc) Self.index, self.type_tag, exc_info=True) Logger.warn('type %r in index %r already deleted', Index=self.index, doc_type=self.type_tag) This does not destroy the ES index, but instead onlyĭeletes all tags with the configured doc types. Generally, this should only be used in test code. This guarantees that any previous calls to ``add`` will beįlushed to disk and available in subsequent searches. '''Tells ES to tell Lucene to do an fsync. Return self._term_query(self.type_assoc, 'stream_id', stream_id) Return self._term_query(self.type_assoc, 'url', url)ĭef assocs_by_stream_id(self, stream_id): Return self._term_query(self.type_assoc, 'tag', tag) # No sense in issuing a request when we already know the answer. Return self._term_query(self.type_tag, 'parent', parent_tag)ĭef suggest(self, parent, prefix, limit=100): Parent_tag = self._normalize_tag(parent_tag) If 'DocumentAlreadyExistsException' in e.error: # Yay for brittle substring search for error detection! (index=self.index, doc_type=self.type_tag, # round trips in the common case (the tag is already created). # Start with creating the full tag and continue creating parent tags ![]() Index=self.index, doc_type=self.type_assoc, body=assoc) # when the index doesn't already exist), we sit and wait for the ![]() # Since index creation is a very rare operation (it only happens # you'll get a "no active shards available" error. # that will fail because the index hasn't been set up yet. # It is possible to create an index and quickly launch a request Self.type_assoc = '%sassociation' % type_prefix nn = Elasticsearch(hosts=hosts, timeout=60, request_timeout=60) Raise yakonfig.ProgrammerError('Tags needs a namespace defined.') 'Tags needs at least one host specified.') Return cls(**yakonfig.get_global_config('dossier.tags'))ĭef _init_(self, hosts=None, namespace=None, type_prefix='',
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |