-
Book Overview & Buying
-
Table Of Contents
Kibana Essentials
By :
To import a JSON file into Elasticsearch, we will use the elasticdump package. It is a set of import and export tools used for Elasticsearch. It makes it easier to copy, move, and save indexes. To install elasticdump, we will require npm and Node.js as prerequisites.
In this section, npm along with Node.js will be installed. This section covers the installation of npm and Node.js on Ubuntu and Windows separately.
To install npm on Ubuntu, perform the following steps:
sudo curl --silent --location https://deb.nodesource.com/setup_0.12 | sudo bash -

As shown in the preceding screenshot, the command will add the official Node.js repository to the system and update the apt package database to include all the latest files under the packages. At the end of the execution of this command, we will be prompted to install Node.js and npm, as shown in the following screenshot:

sudo apt-get install --yes nodejs

This will automatically install Node.js and npm as npm is bundled within Node.js.
node –v
Upon successful installation, it will display the version of Node.js.
npm has been installed successfully, type the following command in the terminal:npm –v
Upon successful installation, it will show the version of npm.
To install npm on Windows, follow these steps:
.msi) file by going to https://nodejs.org/en/download/.In GIT Bash, enter this:
node –v
Upon successful installation, you will be shown the version of Node.js.
npm, right-click and select GIT Bash.In GIT Bash, enter the following line:
npm –v
Upon successful installation, it will show the version of npm.
In this section, elasticdump will be installed. It will be used to import a JSON file into Elasticsearch. It requires npm and Node.js installed. This section covers the installation on Ubuntu and Windows separately.
Perform these steps to install elasticdump on Ubuntu:
elasticdump by typing the following command in the terminal:sudo npm install elasticdump -g

elasticdump by typing this command in the terminal:elasticdump
tweet.json. It will be imported into Elasticsearch using the following command in the terminal:elasticdump \ --bulk=true \ --input="/home/yuvraj/Desktop/tweet.json" \ --output=http://localhost:9200/
Here, input provides the location of the file, as shown in the following screenshot:

As you can see, data is being imported to Elasticsearch from the tweet.json file, and the dump complete message is displayed when all the records are imported to Elasticsearch successfully.
Elasticsearch should be running while importing the sample file.
To install elasticdump on Windows, perform the following steps:
elasticdump by typing the following command in GIT Bash:npm install elasticdump -g

elasticdump by typing this command in GIT Bash:elasticdump
tweet.json. It will be imported to Elasticsearch using the following command in GIT Bash:elasticdump \ --bulk=true \ --input="C:\Users\ygupta\Desktop\tweet.json" \ --output=http://localhost:9200/
Here, input provides the location of the file.

The preceding screenshot shows data being imported to Elasticsearch from the tweet.json file, and the dump complete message is displayed when all the records are imported to Elasticsearch successfully.
Elasticsearch should be running while importing the sample file.
To verify that the data has been imported to Elasticsearch, open http://localhost:5601 in your browser, and this is what you should see:

When Kibana is opened, you have to configure an index pattern. So, if data has been imported, you can enter the index name, which is mentioned in the tweet.json file as index: tweet. After the page loads, you can see to the left under Index Patterns the name of the index that has been imported (tweet).
Now mention the index name as tweet. It will then automatically detect the timestamped field and will provide you with an option to select the field. If there are multiple fields, then you can select them by clicking on Time-field name, which will provide a drop-down list of all fields available, as shown here:

Finally, click on Create to create the index in Kibana. After you have clicked on Create, it will display the various fields present in this index.
If you do not get the options of Time-field name and Create after entering the index name as tweet, it means that the data has not been imported into Elasticsearch.
Change the font size
Change margin width
Change background colour