def create_markers(kind,
batchsize=100,
attribute='__key__',
order='asc',
filters=[],
callback=None):
mc_key = ('create_markers:%s-%s' % (
time.time(), random.randint(1, sys.maxint))).replace('.','-')
defer(_compute_markers, [mc_key, kind, attribute, order, batchsize],
dict(callback=callback, filters=filters), once_only=False)
return mc_key
def _compute_markers(mc_key, kind, attribute, order, batchsize,
filters=[], callback=None):
logging.info('BatchHandler.execute %s' % repr(locals()))
q = datastore.Query(kind, keys_only=True)
q.Order((attribute, _sorting[order]))
for l, r in filters:
q[l] = r
# the intermediate result
i_res = memcache.get(mc_key) or []
try:
while True:
if i_res:
q['%s %s' % (attribute, _operator[order])] = i_res[-1]
if not q.Count(): # required due to bug in sdk (#2875)
break
res = q.Get(1, batchsize-1)
if not res:
# this is the end because we have less than
# batchsize items left
break
# look if our attribute is __key__ so we have it already
if attribute == '__key__':
lastval = res[-1]
else:
e = db.get(res[-1])
lastval = getattr(e, attribute)
i_res.append(lastval)
memcache.set(mc_key, i_res)
# we are finished, so we call the callback with the name
if callback:
defer(callback, [mc_key], once_only=False)
except DeadlineExceededError:
# we did not make it, add ourself again
memcache.set(mc_key, i_res)
defer(_compute_markers, [mc_key, kind, attribute, order, batchsize],
dict(callback=callback, filters=filters), once_only=False)