# Large SDIMG File

**URL:** https://hub.mender.io/t/large-sdimg-file/266
**Category:** General Discussions
**Created:** [February 28, 2019, 2:17pm UTC](https://hub.mender.io/t/large-sdimg-file/266 "2019-02-28T14:17:14Z")
**Posts on this page:** 1
**Showing post:** 6

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### Author: ![mvargasevans](https://yyz2.discourse-cdn.com/flex036/user_avatar/hub.mender.io/mvargasevans/32/402_2.png) [@mvargasevans](https://hub.mender.io/u/mvargasevans)
#### Post date: [March 26, 2020, 10:59am UTC](https://hub.mender.io/t/large-sdimg-file/266/6 "2020-03-26T10:59:56Z")

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Dear community,

I wanted to drop my 2 cents here by reporting results.  
bmap-tools is indeed faster.

Please proceed with the repo indicated or in ubuntu:  
sudo apt-get install bmap-tools

Make sure that your device is connected and present in the /dev partition and both files, the raw image and the .bmap file are in the same folder.

I tested with a RaspberryPi3, and after .rpi-boot it is necessary to umount any existing partitions except for /dev/sdb (in my case)

Then proceed:

```
mvargasevans@X1:~//mender-builder$ sudo bmaptool copy ./development.rpi-sdimg /dev/sdb
bmaptool: info: discovered bmap file './development.rpi-sdimg.bmap'
bmaptool: info: block map format version 2.0
bmaptool: info: 1661952 blocks of size 4096 (6.3 GiB), mapped 606924 blocks (2.3 GiB or 36.5%)
bmaptool: info: copying image 'development.rpi-sdimg' to block device '/dev/sdb' using bmap file 'development.rpi-sdimg.bmap'
bmaptool: WARNING: failed to enable I/O optimization, expect suboptimal speed (reason: cannot switch to the 'noop' I/O scheduler: [Errno 22] Invalid argument)
bmaptool: info: 100% copied
bmaptool: info: synchronizing '/dev/sdb'
bmaptool: info: copying time: 7m 36.4s, copying speed 5.2 MiB/sec

```

Some info from the documentation.  
[https://www.yoctoproject.org/docs/2.3/dev-manual/dev-manual.html#flashing-images-using-bmaptool](https://www.yoctoproject.org/docs/2.3/dev-manual/dev-manual.html#flashing-images-using-bmaptool)

There is an issue with my I/O, but that was already faster for a 7 GB image.

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