class Search():
def __init__(self, index_name):
super().__init__()
self.logger = logging.getLogger(__name__)
self.__es = Elasticsearch(['pulsing.jhk.org:9200'], sniff_on_start=True)
self.__index_name = index_name
if self.__es.indices.exists(self.__index_name):
self.logger.debug('index exists so deleting ' + self.__index_name)
self.__es.indices.delete(self.__index_name)
self.__es.indices.create(self.__index_name)
self.__es.cluster.health(wait_for_status='yellow')
def index(self, type_name, id_value, content):
self.logger.debug('index %s/%s : %s', type_name, id_value, content)
self.__es.index(index=self.__index_name, doc_type=type_name, id=id_value, body=content)
def map(self, type_name, mapping):
self.logger.debug('map %s', type_name)
self.__es.indices.put_mapping(index=self.__index_name, doc_type=type_name, body={type_name: mapping})
def search(self, type_name, query={'match_all': {}}):
self.logger.debug('search %s : %s', type_name, query)
return self.__es.search(index=self.__index_name, doc_type=type_name, body={'query': query})
def get(self, type_name, id_value):
self.logger.debug('get %s/%s', type_name, id_value)
document = self.__es.get(index=self.__index_name, doc_type=type_name, id=id_value)
self.logger.debug('got document ' + document)
return document
def delete(self, type_name, id_value):
self.logger.debug('delete %s/%s', type_name, id_value)
self.__es.delete(index=self.__index_name, doc_type=type_name, id=id_value)
def optimize(self):
"""
forcemerge allows removal of deleted documents and reducing the number of segments
(documents are marked as tombstone [like cassandra] but not purged from the segment's
index for performance reasons)
"""
self.logger.debug('optimize')
self.__es.forcemerge(self.__index_name)
@property
def es(self):
return self.__es
def __eq__(self, other):
return self.__es == other.__es
def __str__(self):
return self.__es.__str__()
def __hash__(self):
return self.__es.__hash__()
class Search():
def __init__(self, index_name):
super().__init__()
self.logger = logging.getLogger(__name__)
self.__es = Elasticsearch(['pulsing.jhk.org:9200'],
sniff_on_start=True)
self.__index_name = index_name
if self.__es.indices.exists(self.__index_name):
self.logger.debug('index exists so deleting ' + self.__index_name)
self.__es.indices.delete(self.__index_name)
self.__es.indices.create(self.__index_name)
self.__es.cluster.health(wait_for_status='yellow')
def index(self, type_name, id_value, content):
self.logger.debug('index %s/%s : %s', type_name, id_value, content)
self.__es.index(index=self.__index_name,
doc_type=type_name,
id=id_value,
body=content)
def map(self, type_name, mapping):
self.logger.debug('map %s', type_name)
self.__es.indices.put_mapping(index=self.__index_name,
doc_type=type_name,
body={type_name: mapping})
def search(self, type_name, query={'match_all': {}}):
self.logger.debug('search %s : %s', type_name, query)
return self.__es.search(index=self.__index_name,
doc_type=type_name,
body={'query': query})
def get(self, type_name, id_value):
self.logger.debug('get %s/%s', type_name, id_value)
document = self.__es.get(index=self.__index_name,
doc_type=type_name,
id=id_value)
self.logger.debug('got document ' + document)
return document
def delete(self, type_name, id_value):
self.logger.debug('delete %s/%s', type_name, id_value)
self.__es.delete(index=self.__index_name,
doc_type=type_name,
id=id_value)
def optimize(self):
"""
forcemerge allows removal of deleted documents and reducing the number of segments
(documents are marked as tombstone [like cassandra] but not purged from the segment's
index for performance reasons)
"""
self.logger.debug('optimize')
self.__es.forcemerge(self.__index_name)
@property
def es(self):
return self.__es
def __eq__(self, other):
return self.__es == other.__es
def __str__(self):
return self.__es.__str__()
def __hash__(self):
return self.__es.__hash__()
