"port": 9200
}])
sys.stdout.write("Connected to ElasticSearch Client\n")
# Instantiate extractor object.
extractor = Extract(extract_client=client,
database_name=db,
batch_size=750)
# Instantiate loader object.
loader = Load(load_client=es_client,
index_name=index_name,
extractor=extractor,
bulk_size=750)
if is_mt:
loader.enable_multithreading()
loader.set_no_of_threads(num_threads)
for coll_name in coll_names:
sys.stdout.write("\nIndexing " + coll_name + "...\n")
start = timeit.default_timer()
collection_type = None
if coll_name == 'user':
collection_type = Collection.User
elif coll_name == 'checkin':
collection_type = Collection.CheckIn
elif coll_name == 'photo':
collection_type = Collection.Photo
elif coll_name == 'business':
collection_type = Collection.Business
elif coll_name == 'tip':
