Upload bulk CSV data to ElasticSearch using Python

This post shows how to upload data from a csv file to ElasticSearch using Python ElasticSearch Client - Bulk helpers.

It is assumed that you already have setup ElasticSearch and have a Python environment ready along with some IDE, if not the below link might help you.

• Setting up and getting started with ElasticSearch using Kibana & Python

If you would like to upload a JSON file instead of a CSV file, then the below post might help you.

• Bulk upload to ElasticSearch using Python from JSON file

Python ElasticSearch Client

This requires to install Python Elasticsearch Client mentioned here - Python Elasticsearch Client Installation or just run the below command from your Python console.

pip install elasticsearch

Uploading bulk data from .CSV file to ElasticSearch using Python code

Below are the steps I have performed to do the same.

1. Read the data from .CSV file to a Panda's dataframe.
2. Create JSON string from dataframe by iterating through all the rows and columns
3. Convert JSON string to JSON object.
4. Upload the JSON object using the Python ElasticSearch Client - bulk helpers

Below is the Python script

import sys
import json
from pprint import pprint
from elasticsearch import Elasticsearch
es = Elasticsearch(
    ['localhost'],
    port=9200

)

MyFile= open("C:\ElasticSearch\shakespeare_6.0.json",'r').read()
ClearData = MyFile.splitlines(True)
i=0
json_str=""
docs ={}
for line in ClearData:
    line = ''.join(line.split())
    if line != "},":
        json_str = json_str+line
    else:
        docs[i]=json_str+"}"
        json_str=""
        print(docs[i])
        es.index(index='shakespeare', doc_type='Blog', id=i, body=docs[i])
        i=i+1

Screenshot: Output of the command running in Python

We can check the uploaded data using the below Python code.

es = Elasticsearch(
    ['localhost'],
    port=9200
)
es = Elasticsearch(ES_CLUSTER)
with open("C:\ElasticSearch\shakespeare_6.0.json") as json_file:
    json_docs = json.load(json_file)
es.bulk(ES_INDEX, ES_TYPE, json_docs)

Screenshot: Output of the command running in Python

It can also be verified from Kibana Dev console (if Kibana is already installed)

Kibana GET command

Screenshot: With Kibana GET command and output in the right side

I hope this post might have helped you. Please comment and let me know your thoughts!!