如果我们滚动特定大小的块,有没有办法使用python api来设置检索文档数量的上限。因此,假设我想要滚动最多100K个文档,以2K为单位,其中有超过1000万个文档可用。
我已经实现了一个类似object的计数器,但我想知道是否有更自然的解决方案。
es_query = {"query": {"function_score": {"functions": [{"random_score": {"seed": "1234"}}]}}}
es = Elasticsearch(ADDRESS, port=PORT)
result = es.search(
index="INDEX",
doc_type="DOC_TYPE",
body=es_query,
size=2000,
scroll="1m")
data = []
for hit in result["hits"]["hits"]:
for d in hit["_source"]["attributes"]["data_of_interest"]:
data.append(d)
do_something(*args)
scroll_id = result['_scroll_id']
scroll_size = result["hits"]["total"]
i = 0
while(scroll_size>0):
if i % 10000 == 0:
print("Scrolling ({})...".format(i))
result = es.scroll(scroll_id=scroll_id, scroll="1m")
scroll_id = result["_scroll_id"]
scroll_size = len(result['hits']['hits'])
data = []
for hit in result["hits"]["hits"]:
for d in hit["_source"]["attributes"]["data_of_interest"]:
data.append(d)
do_something(*args)
i += 1
if i == 100000:
break
发布于 2018-01-11 17:24:32
对我来说,如果你只想要前100K,你应该首先缩小你的查询范围。这会加速你的进程。例如,您可以按日期添加筛选器。
关于代码,除了使用计数器之外,我不知道其他方法。为了提高可读性,我只需要更正缩进并删除if语句。
es_query = {"query": {"function_score": {"functions": [{"random_score": {"seed": "1234"}}]}}}
es = Elasticsearch(ADDRESS, port=PORT)
result = es.search(
index="INDEX",
doc_type="DOC_TYPE",
body=es_query,
size=2000,
scroll="1m")
data = []
for hit in result["hits"]["hits"]:
for d in hit["_source"]["attributes"]["data_of_interest"]:
data.append(d)
do_something(*args)
scroll_id = result['_scroll_id']
scroll_size = result["hits"]["total"]
i = 0
while(scroll_size > 0 & i < 100000):
print("Scrolling ({})...".format(i))
result = es.scroll(scroll_id=scroll_id, scroll="1m")
scroll_id = result["_scroll_id"]
scroll_size = len(result['hits']['hits'])
# data = [] why redefining the list ?
for hit in result["hits"]["hits"]:
for d in hit["_source"]["attributes"]["data_of_interest"]:
data.append(d)
do_something(*args)
i ++
https://stackoverflow.com/questions/48196940
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