帶有python API的Elasticsearch Percolator

Question

嗨，我正在嘗試使用“ elasticsearch.py​​” api做一個滲濾器索引。 但是我什至沒有得到任何結果。

API文檔似乎具有3個或4個與滲濾相關的功能。

我檢查了以下可能性。 任何人都可以幫忙，以便我解決。

es = Elasticsearch()
query = {'query': {'term': {'message': 'bonsai tree'}}}
es.create(index='test', doc_type='message', percolate=query, id='kuku2', body = {"message":"bonsai tree"})
doc = {'doc': {'message': 'I am a bonsai tree'}}
k = es.percolate(index='test', doc_type='type1', body=doc)
print k

######結果#####

 u'matches': [], u'total': 0, u'took': 0, u'_shards': {u'successful': 1, u'failed': 0, u'total': 1}}

我希望使用“ es.percolate”進行搜索。 “ es.create”允許我們將文檔注冊為滲濾索引。 但這在文檔中並沒有那么完美地提及。 “ .percolate”也用於代替索引。 請幫忙。

Answer 1

以下文本對我有用（在ES 1.4.4上）。 關鍵的一點似乎是使用doc_type='.percolator'的es.create 。

    from elasticsearch import Elasticsearch
    from elasticsearch.client.indices import IndicesClient

    es = Elasticsearch()
    ies = IndicesClient(es)

    mapping = {
      "mappings": {
        "my-type": {
          "properties": {
            "content": {
              "type": "string"
            }
          }
        }
      }
    }
    ies.create(index='test_index', body=mapping)

    query = {
        "query": {
            "match": {
                "content": "python"
            }
        }
    }
    es.create(index='test_index', doc_type='.percolator', body=query, id='python')

    doc1 = {'doc': {'content': 'this is something about python'}}
    res = es.percolate("test_index", doc_type="my-type", body = doc1)
    print res

    # result:
    # {u'matches': [{u'_id': u'python', u'_index': u'test_index'}], u'total': 1, u'took': 3, u'_shards': {u'successful': 5, u'failed': 0, u'total': 5}}


    doc2 = {'doc': {'content': 'this is another piece of text'}}
    res = es.percolate("test_index", doc_type="my-type", body = doc2)
    print res
    # result:
    # {u'matches': [], u'total': 0, u'took': 2, u'_shards': {u'successful': 5, u'failed': 0, u'total': 5}}

Answer 2

字詞查詢不會標記或分析搜索文本。 因此，給出一個短語，將進行詞條查詢以查找令牌的完全匹配。 哪個不存在，所以如果您使用match查詢，它應該可以工作

es = Elasticsearch()
query = {'query': {'match': {'message': 'bonsai tree'}}}
es.create(index='test', doc_type='message', percolate=query, id='kuku2', body = {"message":"bonsai tree"})
doc = {'doc': {'message': 'I am a bonsai tree'}}
k = es.percolate(index='test', doc_type='type1', body=doc)
print k

Answer 3

我調整了@ Roy2012的答案，以便與ES 5.1一起使用

這是我的代碼：

import pprint
from elasticsearch import Elasticsearch
# Use your elasticsearch user, password, and host below
es = Elasticsearch(['http://user:password@host:9200/'])
mapping = {
    "mappings": {
        "doctype": {
            "properties": {
                "comment": {
                    "type": "text"
                }
            }
        },
        "queries": {
            "properties": {
                "query": {
                    "type": "percolator"
                }
            }
        }
    }
}

es.indices.create(index='comment_percolators', body=mapping, ignore=400)
word = "python"
query = {
    "query": {
        "match": {
            "comment": word
        }
    }
}
res = es.index(index='comment_percolators', doc_type='queries', body=query, id=word)
pprint.pprint(res)


doc1 = {'doc': {'comment': 'this is something about python'}}
res = es.percolate(index="comment_percolators", doc_type="doctype", body=doc1)
pprint.pprint(res)
# {u'_shards': {u'failed': 0, u'successful': 5, u'total': 5},
#  u'matches': [{u'_id': u'python', u'_index': u'comment_percolators'}],
#  u'took': 16,
#  u'total': 2}

doc2 = {'doc': {'comment': 'this is another piece of text'}}
res = es.percolate(index="comment_percolators", doc_type="doctype", body=doc2)
pprint.pprint(res)
# {u'_shards': {u'failed': 0, u'successful': 5, u'total': 5},
#  u'matches': [],
#  u'took': 23,
#  u'total': 0}

唯一的區別是創建索引和注冊查詢的方式。