def index_custom_indexes(index_name=None,
clear_index=True,
batch_size=settings.BULK_IMPORT_BATCH_SIZE,
quiet=False):
"""
Indexes any custom indexes, optionally by name
Keyword Arguments:
index_name -- if supplied will only reindex the custom index with the given name
clear_index -- set to True to remove all the resources of the types passed in from the index before the reindexing operation
batch_size -- the number of records to index as a group, the larger the number to more memory required
quiet -- Silences the status bar output during certain operations, use in celery operations for example
"""
if index_name is None:
for index in settings.ELASTICSEARCH_CUSTOM_INDEXES:
es_index = import_class_from_string(index["module"])(index["name"])
es_index.reindex(clear_index=clear_index,
batch_size=batch_size,
quiet=quiet)
else:
es_index = get_index(index_name)
es_index.reindex(clear_index=clear_index,
batch_size=batch_size,
quiet=quiet)
def index_resources_by_type(resource_types, clear_index=True, index_name=None, batch_size=settings.BULK_IMPORT_BATCH_SIZE):
"""
Indexes all resources of a given type(s)
Arguments:
resource_types -- array of graph ids that represent resource types
Keyword Arguments:
clear_index -- set to True to remove all the resources of the types passed in from the index before the reindexing operation
index_name -- only applies to custom indexes and if given will try and just refresh the data in that index
batch_size -- the number of records to index as a group, the larger the number to more memory required
"""
status = ''
se = SearchEngineFactory().create()
datatype_factory = DataTypeFactory()
node_datatypes = {str(nodeid): datatype for nodeid, datatype in models.Node.objects.values_list('nodeid', 'datatype')}
status = ''
for resource_type in resource_types:
start = datetime.now()
resources = Resource.objects.filter(graph_id=str(resource_type))
graph_name = models.GraphModel.objects.get(graphid=str(resource_type)).name
print("Indexing resource type '{0}'".format(graph_name))
if index_name is None:
q = Query(se=se)
term = Term(field='graph_id', term=str(resource_type))
q.add_query(term)
if clear_index:
q.delete(index='resources', refresh=True)
with se.BulkIndexer(batch_size=batch_size, refresh=True) as doc_indexer:
with se.BulkIndexer(batch_size=batch_size, refresh=True) as term_indexer:
for resource in resources:
document, terms = resource.get_documents_to_index(fetchTiles=True, datatype_factory=datatype_factory, node_datatypes=node_datatypes)
doc_indexer.add(index='resources', id=document['resourceinstanceid'], data=document)
for term in terms:
term_indexer.add(index='terms', id=term['_id'], data=term['_source'])
result_summary = {'database': len(resources), 'indexed': se.count(index='resources', body=q.dsl)}
status = 'Passed' if result_summary['database'] == result_summary['indexed'] else 'Failed'
print("Status: {0}, Resource Type: {1}, In Database: {2}, Indexed: {3}, Took: {4} seconds".format(status, graph_name, result_summary['database'], result_summary['indexed'], (datetime.now()-start).seconds))
for index in settings.ELASTICSEARCH_CUSTOM_INDEXES:
es_index = import_class_from_string(index['module'])(index['name'])
es_index.bulk_index(resources=resources, resource_type=resource_type, graph_name=graph_name, clear_index=clear_index)
else:
es_index = get_index(index_name)
es_index.bulk_index(resources=resources, resource_type=resource_type, graph_name=graph_name, clear_index=clear_index)
return status
def remove_index(self, name):
es_index = get_index(name)
es_index.delete_index()
def register_index(self, name):
es_index = get_index(name)
es_index.prepare_index()
