How to use Bulk API to store the keywords in ES by using Python

Question

I have to store some message in ElasticSearch integrate with my python program. Now what I try to store the message is:

d={"message":"this is message"}     for index_nr in range(1,5):         ElasticSearchAPI.addToIndex(index_nr, d)         print d 

That means if I have 10 messages then I have to repeat my code 10 times. So what I want to do is try to make a script file or batch file. I've checked the ElasticSearch Guide, BULK API is possible to use. The format should be something like below:

{ "index" : { "_index" : "test", "_type" : "type1", "_id" : "1" } } { "field1" : "value1" } { "delete" : { "_index" : "test", "_type" : "type1", "_id" : "2" } } { "create" : { "_index" : "test", "_type" : "type1", "_id" : "3" } } { "field1" : "value3" } { "update" : {"_id" : "1", "_type" : "type1", "_index" : "index1"} } { "doc" : {"field2" : "value2"} } 

what I did is:

{"index":{"_index":"test1","_type":"message","_id":"1"}} {"message":"it is red"} {"index":{"_index":"test2","_type":"message","_id":"2"}} {"message":"it is green"} 

I also use curl tool to store the doc.

$ curl -s -XPOST localhost:9200/_bulk --data-binary @message.json 

Now I want to use my Python code to store the file to the Elastic Search.

Answer 1

from datetime import datetime  from elasticsearch import Elasticsearch from elasticsearch import helpers  es = Elasticsearch()  actions = [   {     "_index": "tickets-index",     "_type": "tickets",     "_id": j,     "_source": {         "any":"data" + str(j),         "timestamp": datetime.now()}   }   for j in range(0, 10) ]  helpers.bulk(es, actions)