使用聚合的PyMongo文本搜索

Question

I'm trying a simple text search using the aggregation framework. I'm using Mongo 3.0.7

The database has a field named 'text'. I'm trying to retrieve the data from mongo using python. I'm using the code below. Please correct me if i'm wrong.

db.tweets.create_index({"text":"text"})
cursor=db.tweets.aggregate(([{"match": {"text": {"search": "cake"}}}]))

for document in cursor:
  print(document)

I get the error : planner returned error: need exactly one text index for $text query.

Thanks!

Answer 1

Resolved it, i was unaware of the concept

BSON is designed to be traversed easily. This is a vital property in its role as the primary data representation for MongoDB.

My above code was generating in BSON format which is not in a human readable format. The mistake I made was to display it with a simple print.

Solution : I need to convert the BSON object to JSON and then try to traverse through the list.

from bson import json_util

json_docs = [json.dumps(document , default=json_util.default) for document in cursor ]

for jsondump in json_docs:
   x=json.loads(jsondump)
   print(x)