def migrate(muri, dbname, huri):
"Migrate data from MongoDB (muri) to HDFS (huri)"
mstg = MongoStorage(muri, dbname)
hstg = HdfsStorage(huri)
# read data from MongoDB
query = {'stype': mstg.stype}
mdocs = mstg.read(query)
mids = [d['wmaid'] for d in mdocs]
# do nothing if no documents is found
if not len(mdocs):
return
# store data to HDFS
wmaid = hstg.write(mdocs)
# read data from HDFS
hdocs = hstg.read(wmaid)
# now we can compare MongoDB docs with HDFS docs, a la cross-check
for mdoc, hdoc in zip(mdocs, hdocs):
# drop WMArchive keys
for key in ['stype', 'wmaid']:
if key in mdoc:
del mdoc[key]
if key in hdoc:
del hdoc[key]
if mdoc != hdoc:
print("ERROR", mdoc, hdoc)
sys.exit(1)
# update status attributes of docs in MongoDB
query = {'$set': {'stype': hstg.stype}}
mstg.update(mids, query)
def __init__(self, uri):
"ctor with STS uri"
if uri.startswith('mongo'):
self.mgr = MongoStorage(uri)
elif uri.startswith('file'):
self.mgr = FileStorage(uri)
elif uri.startswith('avro'):
self.mgr = AvroStorage(uri)
else:
self.mgr = FileStorage(os.getenv('WMA_STORAGE_ROOT', '/tmp/wma_storage'))
self.stype = self.mgr.stype # determine storage type
def cleanup(muri, tst, stype, verbose):
"Cleanup data in MongoDB (muri) for given timestamp (tst)"
time0 = time.time()
mstg = MongoStorage(muri)
# remove records whose type is hdfsio, i.e. already migrated to HDFS,
# and whose time stamp is less than provided one
query = {'stype': stype, 'wmats': {'$lt': dateformat(tst)}}
if verbose:
print("Clean-up records in MongoDB: %s" % muri)
print("MongoDB cleanup spec:", query)
response = mstg.remove(query)
if verbose:
print("response: %s" % response)
print("Elapsed time: %s" % elapsed_time(time0))
def cleanup(muri, tst, stype):
"Cleanup data in MongoDB (muri) for given timestamp (tst)"
time0 = time.time()
mstg = MongoStorage(muri)
# remove records whose type is hdfsio, i.e. already migrated to HDFS,
# and whose time stamp is less than provided one
query = {'stype': stype, 'wmats': {'$lt': dateformat(tst)}}
rdocs = mstg.ndocs(query)
tdocs = time.time() - time0
print(tstamp('mongo2avro'),
'found %s docs (in %s) to be removed' % (rdocs, elapsed_time(time0)))
time0 = time.time()
response = mstg.remove(query)
print(tstamp('mongo2avro'),
'remove query %s in %s' % (query, elapsed_time(time0)))
def migrate(muri):
"Write and read data to MongoDB"
mstg = MongoStorage(muri, dbname='test_fwjr')
doc = {"test": 1, 'wmaid': 1}
mstg.write([doc])
# read data from MongoDB
query = {}
mdocs = mstg.read(query)
for doc in mdocs:
print(doc)
if '_id' in doc:
print("found _id in doc")
print(doc)
break
def migrate(muri, dbname, odir, mdir, avsc, thr, compress, chunk,
close2midnight, dtype):
"Write data from MongoDB (muri) to avro file(s) on local file system"
mstg = MongoStorage(muri, dbname)
auri = avsc if avsc.startswith('avroio:') else 'avroio:%s' % avsc
astg = AvroStorage(auri)
# read data from MongoDB for given storage and document types
query = {'stype': mstg.stype, 'dtype': dtype}
mdocs = mstg.find(query, None) # with no fields we'll get entire docs
# loop over provided docs and write them into avro file on local file system
wmaids = []
total = 0
fsize = 0
fname = file_name(odir, mdir, thr, compress, close2midnight)
while True:
data = [r for r in itertools.islice(mdocs, chunk)]
total += len(data)
if not len(data):
break
ids = astg.file_write(fname, data)
if os.path.isfile(fname):
fsize = os.path.getsize(fname)
wmaids += ids
if ids:
# update status attributes of docs in MongoDB
spec = {'$set': {'stype': astg.stype}}
mstg.update(ids, spec)
try:
if PSUTIL:
pid = os.getpid()
proc = psutil.Process(pid)
mem = proc.memory_info_ex()
rss = 'RSS:%s' % size_format(mem.rss)
else:
rss = ''
except:
rss = ''
print(tstamp('mongo2avro'), "%s docs %s %s (%s bytes) %s" \
% (len(ids), fname, size_format(fsize), fsize, rss))
fname = file_name(odir, mdir, thr, compress, close2midnight)
print(tstamp('mongo2avro'),
"wrote %s docs out of %s" % (len(wmaids), total))
