def stash_kw(self, job_id):
"""
Stash the kwargs and return the redis key.
"""
kw_key = "{}:{}".format(copy.copy(self.kw_prefix), job_id)
kw = copy.copy(self.sous_chef_kwargs)
rds.set(kw_key, obj_to_pickle(kw), ex=self.kw_ttl)
return kw_key
def stash_kw(self, job_id):
"""
Stash the kwargs and return the redis key.
"""
kw_key = "{}:{}".format(copy.copy(self.kw_prefix), job_id)
kw = copy.copy(self.sous_chef_kwargs)
rds.set(kw_key, obj_to_pickle(kw), ex=self.kw_ttl)
return kw_key
def bulkload(data, **kw):
"""
Bulk Load any data.
"""
kw['src'] = kw.pop('q_src', kw.pop('src', None))
if not kw['src']:
raise ValueError('Missing src.')
job_id = gen_uuid()
# set queue defaults
qkw = dict(
queued=kw.pop('queued', True),
job_id=job_id,
timeout=kw.pop('q_timeout', 1000),
serializer=kw.pop('q_serializer', 'json'),
result_ttl=kw.pop('q_result_ttl', 60),
kwargs_ttl=kw.pop('q_kwargs_ttl', 120),
name=kw.pop('q_name', 'bulk'),
max_workers=kw.pop('q_max_workers', MAX_WORKERS),
job_key_fmt=kw.pop('q_job_key', 'rq:{src}:bulk:'.format(**kw)+"{}"),
chunk_size=kw.pop('q_chunk_size', MAX_CHUNK_SIZE)
)
kw.update({'queued': qkw.get('queued', True)})
# if this is not a queued job, just run ingest.
if not qkw.get('queued'):
return ingest.source(data, **kw)
q = queues.get(qkw.pop('name', 'bulk'))
# store the data + kwargs in redis temporarily
# this makes the enqueuing process much, much more
# efficient by allowing us to only pass a single key
# into the queue rather than a massive dump of data
# however it also means that all kwargs must be
# json serializable
job_key = qkw['job_key_fmt'].format(job_id)
job = {'data': data, 'kw': kw}
if qkw['serializer'] == 'json':
job = obj_to_json(job)
elif qkw['serializer'] == 'pickle':
job = obj_to_pickle(job)
rds.set(job_key, job, ex=qkw['kwargs_ttl'])
q.enqueue(bulkworker, job_id, **qkw)
return job_id
def bulkload(data, **kw):
"""
Bulk Load any data.
"""
kw['src'] = kw.pop('q_src', kw.pop('src', None))
if not kw['src']:
raise ValueError('Missing src.')
job_id = gen_uuid()
# set queue defaults
qkw = dict(queued=kw.pop('queued', True),
job_id=job_id,
timeout=kw.pop('q_timeout', 1000),
serializer=kw.pop('q_serializer', 'json'),
result_ttl=kw.pop('q_result_ttl', 60),
kwargs_ttl=kw.pop('q_kwargs_ttl', 120),
name=kw.pop('q_name', 'bulk'),
max_workers=kw.pop('q_max_workers', MAX_WORKERS),
job_key_fmt=kw.pop('q_job_key',
'rq:{src}:bulk:'.format(**kw) + "{}"),
chunk_size=kw.pop('q_chunk_size', MAX_CHUNK_SIZE))
kw.update({'queued': qkw.get('queued', True)})
# if this is not a queued job, just run ingest.
if not qkw.get('queued'):
return ingest.source(data, **kw)
q = queues.get(qkw.pop('name', 'bulk'))
# store the data + kwargs in redis temporarily
# this makes the enqueuing process much, much more
# efficient by allowing us to only pass a single key
# into the queue rather than a massive dump of data
# however it also means that all kwargs must be
# json serializable
job_key = qkw['job_key_fmt'].format(job_id)
job = {'data': data, 'kw': kw}
if qkw['serializer'] == 'json':
job = obj_to_json(job)
elif qkw['serializer'] == 'pickle':
job = obj_to_pickle(job)
rds.set(job_key, job, ex=qkw['kwargs_ttl'])
q.enqueue(bulkworker, job_id, **qkw)
return job_id
