elasticsearch-py search queries substantially slower than curl equivalent

Question

In a Zeppelin notebook, running the following query with elasticsearch-py 5x

es = Elasticsearch(["es-host:9200"])
es.search(index="some_index", 
          doc_type="some_type", 
          body={"query": {"term": {"day": "2018_02_04"}}}
)

Takes 28 minutes to return.

From the same notebook, using curl to run:

curl -XGET 'http://es-host:9200/some_index/some_type/_search?pretty' -H 'Content-Type: application/json' -d'
{"query": {"term": {"day": "2018_02_04"}}}
'

returns basically instantly.

Why is the python library performance so poor, and what can be done to make that fast?

Answer 1

这不是我所见过的，根据这个问题判断，我猜您的环境有问题。

Answer 2

I do not understand why this works, but if I add a filter_path to the query, it returns as quickly as the raw curl:

es = Elasticsearch(["es-host:9200"])
results = es.search(index="some_index", 
      doc_type="some_type", 
      filter_path=['hits.hits._id'],
      body={"query": {"term": {"day": "2018_02_04"}}}
)

If anyone has an explanation for this behavior, I'd appreciate that.