'I changed Amazon EC2 instance size but my /dev/nvme0n1p1 partition does not increase in size [closed]

I originally was running an 8gb size EC2 instance. When doing so, my /dev/nvme0n1p1 looked like this:

/dev/nvme0n1p1  7.7G  4.4G  3.4G  57% /

So, I upgraded to a r6i.large instance, which is 16 gb. I re-check my /dev/nvme0n1p1 partition, and lo and behold, it hasn't changed in size:

/dev/nvme0n1p1  7.7G  4.4G  3.4G  57% /

When I run free -h, however, I get:

              total        used        free      shared  buff/cache   available
Mem:            15G        130M         14G        740K        794M         14G
Swap:            0B          0B          0B

So maybe the instance has increased in size? I'm confused, as I would expect the /dev/nvme0n1p1 size now to be around 16gb, not 7.7gb

Selenium is still crashing on me and it appears my partition has not increased in size even though I've gotten an instance with more memory.

linuxseleniummemorycassandra


Solution 1:[1]

This matches your case:

suppose that you have resized the boot volume of an instance, such as a T2 instance, from 8 GB to 16 GB and an additional volume from 8 GB to 30 GB.

So, you need to extend the volume, by following these steps:

Extend the file system of EBS volumes.

EDIT:

Look, you know have a volume of size 16TB (terrabytes not gigabytes). As mentioned already, the volume formatted as MBR.

You need to convert it to a GPT format drive. Follow this guide.

WARNING! Make back-up as might lose your data. Here's how to create an EBS snapshot

Alternatively, you can downsize the EBS volume, but that's requires a little bit of EBS magic.

- Snapshot the volume
- Create a new smaller EBS volume
- Attach the new volume
- Format the new volume
- Mount the new volume
- Copy data from old volume to the new volume
- Prepare the new volume
- Detach and unmount old volume

Solution 2:[2]

Yes you can do it. You can update the value of new column. For this you can write a utility which will scan the complete table and update record one by one. If you are aware with spark and use it then things will be easier and faster.

Sources

This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution Source
Solution 1
Solution 2 Manish Khandelwal

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