On Wed, Apr 10, 2019 at 1:46 AM Brayan Perera <[email protected]> wrote:
>
> Dear All,
>
> Ceph Version : 12.2.5-2.ge988fb6.el7
>
> We are facing an issue on glance which have backend set to ceph, when
> we try to create an instance or volume out of an image, it throws
> checksum error.
> When we use rbd export and use md5sum, value is matching with glance checksum.
>
> When we use following script, it provides same error checksum as glance.
What version of Python are you using?
> We have used below images for testing.
> 1. Failing image (checksum mismatch): ffed4088-74e1-4f22-86cb-35e7e97c377c
> 2. Passing image (checksum identical): c048f0f9-973d-4285-9397-939251c80a84
>
> Output from storage node:
>
> 1. Failing image: ffed4088-74e1-4f22-86cb-35e7e97c377c
> checksum from glance database: 34da2198ec7941174349712c6d2096d8
> [root@storage01moc ~]# python test_rbd_format.py
> ffed4088-74e1-4f22-86cb-35e7e97c377c admin
> Image size: 681181184
> checksum from ceph: b82d85ae5160a7b74f52be6b5871f596
> Remarks: checksum is different
>
> 2. Passing image: c048f0f9-973d-4285-9397-939251c80a84
> checksum from glance database: 4f977f748c9ac2989cff32732ef740ed
> [root@storage01moc ~]# python test_rbd_format.py
> c048f0f9-973d-4285-9397-939251c80a84 admin
> Image size: 1411121152
> checksum from ceph: 4f977f748c9ac2989cff32732ef740ed
> Remarks: checksum is identical
>
> Wondering whether this issue is from ceph python libs or from ceph itself.
>
> Please note that we do not have ceph pool tiering configured.
>
> Please let us know whether anyone faced similar issue and any fixes for this.
>
> test_rbd_format.py
> ===================================================
> import rados, sys, rbd
>
> image_id = sys.argv[1]
> try:
> rados_id = sys.argv[2]
> except:
> rados_id = 'openstack'
>
>
> class ImageIterator(object):
> """
> Reads data from an RBD image, one chunk at a time.
> """
>
> def __init__(self, conn, pool, name, snapshot, store, chunk_size='8'):
Am I correct in assuming this was adapted from OpenStack code? That
8-byte "chunk" is going to be terribly inefficient to compute a CRC.
Not that it should matter, but does it still fail if you increase this
to 32KiB or 64KiB?
> self.pool = pool
> self.conn = conn
> self.name = name
> self.snapshot = snapshot
> self.chunk_size = chunk_size
> self.store = store
>
> def __iter__(self):
> try:
> with conn.open_ioctx(self.pool) as ioctx:
> with rbd.Image(ioctx, self.name,
> snapshot=self.snapshot) as image:
> img_info = image.stat()
> size = img_info['size']
> bytes_left = size
> while bytes_left > 0:
> length = min(self.chunk_size, bytes_left)
> data = image.read(size - bytes_left, length)
> bytes_left -= len(data)
> yield data
> raise StopIteration()
> except rbd.ImageNotFound:
> raise exceptions.NotFound(
> _('RBD image %s does not exist') % self.name)
>
> conn = rados.Rados(conffile='/etc/ceph/ceph.conf',rados_id=rados_id)
> conn.connect()
>
>
> with conn.open_ioctx('images') as ioctx:
> try:
> with rbd.Image(ioctx, image_id,
> snapshot='snap') as image:
> img_info = image.stat()
> print "Image size: %s " % img_info['size']
> iter, size = (ImageIterator(conn, 'images', image_id,
> 'snap', 'rbd'), img_info['size'])
> import six, hashlib
> md5sum = hashlib.md5()
> for chunk in iter:
> if isinstance(chunk, six.string_types):
> chunk = six.b(chunk)
> md5sum.update(chunk)
> md5sum = md5sum.hexdigest()
> print "checksum from ceph: " + md5sum
> except:
> raise
> ===================================================
>
>
> Thank You !
>
> --
> Best Regards,
> Brayan Perera
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> [email protected]
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--
Jason
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