How to Manually Upload Csv Into Existing Kibana Index

Load CSV Data Into Elasticsearch

Import CSV Into AWS Elasticsearch Service Using Bulk import or Logstatsh

Elasticsearch is a distributed, free and open search and analytics engine for all types of information, including textual, numerical, geospatial, structured, and unstructured.

Amazon Elasticsearch Service is a fully managed service that makes it piece of cake for you to deploy, secure, and run Elasticsearch cost-effectively at scale.

Cardinal Concepts

The primal concepts of Elasticsearch are every bit follows −

Node: It refers to a unmarried running instance of Elasticsearch. A single physical and virtual server accommodates multiple nodes depending upon the capabilities of their physical resource like RAM, storage, and processing power.

Cluster: It is a collection of one or more nodes. A cluster provides collective indexing and search capabilities across all the nodes for the entire data.

Index: It is a collection of different types of documents and their properties. The index also uses the concept of shards to improve operation. For example, a set of documents contains data of a social networking application.

Certificate: It is a collection of fields in a specific way defined in JSON format. Every document belongs to a type and resides within an alphabetize. Every document is associated with a unique identifier called the UID.

Shard: Indexes are horizontally subdivided into shards. This means each shard contains all the backdrop of a document simply contains fewer JSON objects than an alphabetize. The horizontal separation makes the shard an contained node, which can be shop in any node. The master shard is the original horizontal part of an index and and so these principal shards are replicated into replica shards.

Replicas: Elasticsearch allows a user to create replicas of their indexes and shards. Replication not just helps in increasing the availability of information in case of failure but besides improves the performance of searching by carrying out a parallel search operation in these replicas.

In that location are multiple means to load CSV data into Elasticsearch Cluster. I want to discuss two cases depends on the size of a file

1. If file size is of few KB'south (kilobytes)
2. If file size in MBs or in GB

Prerequisites:

a) Create Elasticsearch

There are merely a few basic steps to getting an Amazon Elasticsearch Service domain upwards and running:

Define your domain => Configure your cluster => Ready access => Review

refer: https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-createupdatedomains.html

Yous can as well install Elasticsearch locally or host it on any virtual motorcar

Let'due south assume I have an Ubuntu automobile locally

Case I

CSV file size < few KB'southward

Elasticsearch expects some specific format of JSON file as input. To convert the CSV file into the required format we need to run the below script.

Install python3, Run below python script & Run curl command

Note: Provide file path of input_csv_path & input_json_path.

                      csv_to_es_json.py                    import csv            
import json            
import collections
orderedDict = collections.OrderedDict()
from collections import OrderedDict          def csv_to_json(csvFilePath, jsonFilePath):
            jsonArray = []
            ten = OrderedDict([('index', {})])            
            jsonString = json.dumps(x)            
            with open(csvFilePath, encoding='utf-viii') every bit csvf:            
            with open(jsonFilePath, 'due west', encoding='utf-8') equally jsonf:
            csvReader = csv.DictReader(csvf)            
            for row in csvReader:            
            jsonf.write(jsonString)
            jsonf.write("\northward")
            y = json.dumps(row)
            jsonf.write(y)
            jsonf.write("\n")
              csvFilePath = r'<input_csv_path>'
jsonFilePath = r'<input_json_path>'
csv_to_json(csvFilePath, jsonFilePath)
                  

Output:

                      ## input.csv
            Title1,Title2,Title3
ane,two,3
example1,example2,example3                      ## output json
            { "alphabetize": {} }
{"Title1": "one", "Title2": "two", "Title3": "iii"}            
{ "index": {} }
{"Title1": "example1", "Title2": "example2", "Title3": "example3"}        

Note: Provide ELASTIC_PASSWORD, DOMAIN_URL, INDEX_NAME DOC_TYPE, input_json_path these variables values in following control and run.

$ curl -u admin: <ELASTIC_PASSWORD> -H 'Content-Type: awarding/json' -XPOST ' <DOMAIN_URL> / <INDEX_NAME> /< DOC_TYPE> /_bulk?pretty' — data-binary @ <input_json_path>`

eg.

curl -u admin:my_elastic_pass -H 'Content-Type: awarding/json' -XPOST 'https://my-search-hieswgdbdgi8907fazkabdjknh.ap-southward-ane.es.amazonaws.com/myindex/_doc/_bulk?pretty' — data-binary @/path/output.json

Case Two

CSV file size in MBs or GB

Create one VM or EC2 (at least 2 vCPU 4 GB RAM) of ubuntu xviii..04

Install Logstash

sudo apt update
wget -qO - https://artifacts.elastic.co/GPG-Cardinal-elasticsearch | sudo apt-key add -
sudo apt-become install apt-ship-https
repeat "deb https://artifacts.elastic.co/packages/7.10/apt stable main" | sudo tee -a /etc/apt/sources.list.d/rubberband-7.x.list
sudo apt-get update && sudo apt-get install logstash
sudo apt-get install default-jdk

Create configuration file at location /etc/logstash/conf.d/import_csv.conf

          input {
            file {
            path => "              input_json_path            "
            start_position => kickoff
            }
}
filter {
            csv {
            columns => ["Title1","Title2","Title3"]
            separator => ","
            }
}
output {
elasticsearch {
            hosts => ["              DOMAIN_URL            :443"]
            alphabetize => "              INDEX_NAME            "
            document_type => "              DOC_TYPE            "
            ilm_enabled => false
            ssl => true
            user => "admin"
            countersign => "              ELASTIC_PASSWORD            "
}
}        

Restart Logstash service

                      sudo systemctl restart logstash.service                  

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Source: https://medium.com/nonstopio/load-csv-data-into-elasticsearch-56e7fb02a232

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