elasticsearch - 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)