本文整理汇总了Python中elasticsearch.client.IndicesClient.get_alias方法的典型用法代码示例。如果您正苦于以下问题：Python IndicesClient.get_alias方法的具体用法？Python IndicesClient.get_alias怎么用？Python IndicesClient.get_alias使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类elasticsearch.client.IndicesClient的用法示例。
在下文中一共展示了IndicesClient.get_alias方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from elasticsearch.client import IndicesClient [as 别名]
# 或者: from elasticsearch.client.IndicesClient import get_alias [as 别名]
def main(n_indexes):
client = Elasticsearch('localhost:9200')
index_client = IndicesClient(client)
index = 'image_hashes_01'
if n_indexes < 1:
search_index = 'image_hashes*'
else:
search_index = ','.join('image_hashes_%02d' % i for i in range(2,n_indexes+2))
aliases = set(index_client.get_alias(index='image_hashes_*').keys())
for tmp in search_index.split(','):
if tmp not in aliases:
search_index = 'image_hashes*'
break
print('Searching from ' + search_index)
field_sort = lambda: {'%x' % randint(0, n_samples-1): 'asc'}
query = {
'size': 500,
'sort': [field_sort() for i in range(4)],
'fields': ['raw']
}
#print(json.dumps(query, indent=4, sort_keys=True)); return
docs = [
doc['fields']['raw'][0]
for doc in client.search(
index=index, body=query, request_timeout=1e3
)['hits']['hits']
]
n_docs = len(docs)
#print('\n'.join(docs[0:10])); return
durations = ([], [])
matches = ([], [])
for i in range(n_docs):
doc = np.array([int(i) for i in docs[i][::-1]]).astype(np.uint64)
doc = {'%x' % j:
int(doc.dot(sampler[:,:,j]).dot(pow2).astype(np.int16))
for j in range(n_samples)
}
#print(json.dumps(doc, indent=2, sort_keys=True)); return
query = [None, None]
query[0] = {
'bool': {
'should': [
{
'filtered': {
'filter': {
'term': {
field: doc[field],
'_cache': False
}
}
}
}
for field in sorted(doc.keys())
],
'minimum_should_match': 29
}
}
query[1] = {
'fuzzy': {
'raw': {
'value': docs[i],
'fuzziness': 2,
'max_expansions': 1000000
}
}
}
#print(json.dumps(query, indent=2)); return
for j in range(len(query)):
start = time.time()
n_hits = client.search(index=search_index, body={
'size': 0,
'query': query[j]
}, request_timeout=600)['hits']['total']
durations[j].append(1000*(time.time() - start))
matches[j].append(n_hits)
print('\r%4d/%d %5d %7.2f ms, %5d %7.2f ms' % (i+1, len(docs),
matches[0][-1], durations[0][-1],
matches[1][-1], durations[1][-1]
), end='')
sys.stdout.flush()
print('\n\nMean matches: %.3f / %.3f' % (sum(matches[0]) / n_docs, sum(matches[1]) / n_docs))
print('Mean time: %.3f / %.3f ms' % (sum(durations[0]) / n_docs, sum(durations[1]) / n_docs))
#.........这里部分代码省略.........
示例2: IndicesManager
# 需要导入模块: from elasticsearch.client import IndicesClient [as 别名]
# 或者: from elasticsearch.client.IndicesClient import get_alias [as 别名]
class IndicesManager(object):
def __init__(self, options=None):
self.options = options or {}
self.es = get_elasticsearch(self.options)
self.esc = IndicesClient(self.es)
self.conf_dir = sys.path[0]
def __create__(self, name, config=None, type=None):
result = None
try:
if not config:
file_name = "{}/config/{}_index.json".format(
self.conf_dir, type)
with open(file_name) as fp:
config = fp.read()
# create the index with version number
result = self.esc.create(index=name, body=config)
except es_exceptions.TransportError:
print("unable to connect to Elasticsearch")
return result
def create(self, doc_type):
alias_name = 'frisc_{}'.format(doc_type)
index_name = '{}_v1'.format(alias_name)
try:
if self.esc.exists_alias(alias_name):
print('Index {} already existst, updating'.format(alias_name))
self.update(doc_type)
return
self.__create__(index_name, type=doc_type)
# set an alias to the index
self.esc.put_alias(index=index_name, name=alias_name)
except es_exceptions.TransportError:
print("unable to connect to Elasticsearch")
def update(self, doc_type):
alias_name = 'frisc_{}'.format(doc_type)
index_name = '{}_v1'.format(alias_name),
try:
if not self.esc.exists_alias(alias_name):
self.create(doc_type)
return
version_number = 0
old_index_name = ''
old_indexes = self.esc.get_alias(name=alias_name)
for index in old_indexes.keys():
match = re.search('^({})_v(\d+)$'.format(alias_name), index)
if match:
version = int(match.group(2))
if version > version_number:
version_number = version
old_index_name = match.group(0)
version_number += 1
index_name = '{}_v{}'.format(alias_name, version_number)
if self.esc.exists(index_name):
# raise soemthing
raise
self.__create__(index_name, type=doc_type)
reindex(self.es, old_index_name, index_name)
self.esc.update_aliases(
body={'actions': [
{'remove': {'alias': alias_name, 'index': old_index_name}},
{'add': {'alias': alias_name, 'index': index_name}}
]}
)
except es_exceptions.TransportError:
print("unable to connect to Elasticsearch")