How to Install Gigablast on Fedora CoreOS Latest
Gigablast is an open-source search engine that allows you to index and search large amounts of data. In this tutorial, we will explain the steps to install Gigablast on Fedora CoreOS.
Prerequisites
Before proceeding with the installation process, ensure that you have the following prerequisites:
- A Fedora CoreOS latest version installation running on your system
- Administrator access or sudo privileges
- Internet connection
Step 1: Install Dependencies
Gigablast requires certain dependencies to be installed on your system. To install required dependencies, use the following command:
sudo dnf install -y make git gcc-c++ openssl-devel
Step 2: Install Git
If you do not already have Git installed on your system, you can install it with the following command:
sudo dnf install -y git
Step 3: Clone the Gigablast Repository
Next, clone the Gigablast repository from the official website using Git command:
git clone https://github.com/gigablast/search-engine.git
Step 4: Build and Install Gigablast
Once you have successfully cloned the repository, you can build and install Gigablast using the following commands:
cd search-engine
make
sudo make install
This command will compile and install the gigablast search engine on your Fedora CoreOS system.
Step 5: Configure Gigablast
Now that you have successfully installed Gigablast, you can configure it to use with your data. Gigablast’s configuration file is located at the following path: /usr/local/gigablast/conf/gigablast.conf.
Open this configuration file using a text editor of your choice and modify it as per your requirements.
Step 6: Start Gigablast
Once you have completed the configuration, you can start Gigablast using the following command:
sudo /usr/local/gigablast/bin/gigablast
It will start the Gigablast search engine, and you can access it from your web browser by visiting http://localhost:8000/.
Conclusion
In this tutorial, we have covered the steps to install Gigablast on Fedora CoreOS latest. By installing and configuring Gigablast, you can index and search large amounts of data efficiently.