Files
opensearch-pyd/elasticsearch/helpers.py
T

54 lines
1.7 KiB
Python

from itertools import islice
def bulk_index(client, docs, chunk_size=500, **kwargs):
success, failed = [], []
docs = iter(docs)
while True:
chunk = islice(docs, chunk_size)
bulk_actions = []
for d in chunk:
action = {'index': {}}
for key in ('_index', '_parent', '_percolate', '_routing',
'_timestamp', '_ttl', '_type', '_version',):
if key in d:
action['index'][key] = d.pop(key)
bulk_actions.append(action)
bulk_actions.append(d.get('_source', d))
if not bulk_actions:
return success, failed
resp = client.bulk(bulk_actions, **kwargs)
for item in resp['items']:
if item['create']['ok']:
success.append(item)
else:
failed.append(item)
def scan(client, query=None, scroll='5m', **kwargs):
# initial search to
resp = client.search(body=query, search_type='scan', scroll=scroll, **kwargs)
scroll_id = resp['_scroll_id']
while True:
resp = client.scroll(scroll_id, scroll=scroll)
if not resp['hits']['hits']:
break
for hit in resp['hits']['hits']:
yield hit
scroll_id = resp['_scroll_id']
def reindex(client, source_index, target_index, target_client=None, chunk_size=500, scroll='5m'):
target_client = client if target_client is None else target_index
docs = scan(client, index=source_index, scroll=scroll)
def _change_doc_index(hits, index):
for h in hits:
h['_index'] = index
yield h
return bulk_index(target_client, _change_doc_index(docs, target_index), chunk_size=chunk_size)