def from_checkpoints(self, chunk_size=1000):
"""Initial sync strategy: read from blocks on disk.
This methods scans for files matching ./checkpoints/*.json.lst
and uses them for hive's initial sync. Each line must contain
exactly one block in JSON format.
"""
# pylint: disable=no-self-use
last_block = Blocks.head_num()
tuplize = lambda path: [int(path.split('/')[-1].split('.')[0]), path]
basedir = os.path.dirname(os.path.realpath(__file__ + "/../.."))
files = glob.glob(basedir + "/checkpoints/*.json.lst")
tuples = sorted(map(tuplize, files), key=lambda f: f[0])
last_read = 0
for (num, path) in tuples:
if last_block < num:
log.info("[SYNC] Load %s. Last block: %d", path, last_block)
with open(path) as f:
# each line in file represents one block
# we can skip the blocks we already have
skip_lines = last_block - last_read
remaining = drop(skip_lines, f)
for lines in partition_all(chunk_size, remaining):
Blocks.process_multi(map(json.loads, lines), True)
last_block = num
last_read = num
def sync_from_file(file_path, skip_lines, chunk_size=250):
with open(file_path) as f:
# each line in file represents one block
# we can skip the blocks we already have
remaining = drop(skip_lines, f)
for batch in partition_all(chunk_size, remaining):
process_blocks(map(json.loads, batch))
def from_checkpoints(cls, chunk_size=1000):
last_block = Blocks.head_num()
tuplize = lambda path: [int(path.split('/')[-1].split('.')[0]), path]
basedir = os.path.dirname(os.path.realpath(__file__ + "/../.."))
files = glob.glob(basedir + "/checkpoints/*.json.lst")
tuples = sorted(map(tuplize, files), key=lambda f: f[0])
last_read = 0
for (num, path) in tuples:
if last_block < num:
print("[SYNC] Load %s -- last block: %d" % (path, last_block))
with open(path) as f:
# each line in file represents one block
# we can skip the blocks we already have
skip_lines = last_block - last_read
remaining = drop(skip_lines, f)
for lines in partition_all(chunk_size, remaining):
Blocks.process_multi(map(json.loads, lines), True)
last_block = num
last_read = num