memgraph/tools/snapshot_recovery_speed.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import os
import tempfile
from tabulate import tabulate
from timeit import default_timer as timer
# hackish way to resuse existing start code
sys.path.append(os.path.dirname(os.path.realpath(__file__)) +
"/../tests/macro_benchmark/")
from databases import *
from clients import *
from common import get_absolute_path
def main():
path = get_absolute_path("benchmarking.conf", "config")
durability_dir = tempfile.TemporaryDirectory()
DURABILITY_DIR_ARG = ["--durability-directory", durability_dir.name]
MAKE_SNAPSHOT_ARGS = ["--snapshot-on-exit"] + DURABILITY_DIR_ARG
RECOVER_SNAPSHOT_ARGS = ["--db-recover-on-startup"] + DURABILITY_DIR_ARG
snapshot_memgraph = Memgraph(MAKE_SNAPSHOT_ARGS, path, 1)
recover_memgraph = Memgraph(RECOVER_SNAPSHOT_ARGS, path, 1)
client = QueryClient(None, 1)
results = []
for node_cnt in [10**6, 5*10**6, 10**7]:
for edge_per_node in [0, 1, 3]:
for prop_per_node in [0, 1]:
snapshot_memgraph.start()
properties = "{}".format(",".join(
["p{}: 0".format(x) for x in range(prop_per_node)]))
client(["UNWIND RANGE(1, {}) AS _ CREATE ({{ {} }})".format(node_cnt, properties)], snapshot_memgraph)
client(["UNWIND RANGE(1, {}) AS _ MATCH (n) CREATE (n)-[:l]->(n)"
.format(edge_per_node)], snapshot_memgraph)
snapshot_memgraph.stop()
# This waits for the snapshot to be recovered and then exits
start = timer()
recover_memgraph.start()
recover_memgraph.stop()
stop = timer()
diff = stop - start
snapshots_dir = os.path.join(durability_dir.name, "snapshots")
assert (len(os.listdir(snapshots_dir)) == 1)
snapshot_file = os.path.join(snapshots_dir, os.listdir(snapshots_dir)[0])
snap_size = round(os.path.getsize(snapshot_file) / 1024. / 1024., 2)
os.remove(snapshot_file)
edge_cnt = edge_per_node * node_cnt
results.append((node_cnt, edge_cnt, prop_per_node, snap_size, diff))
print(tabulate(tabular_data=results, headers=["Nodes", "Edges",
"Properties", "Snapshot size (MB)", "Elapsed time (s)"]))
if __name__ == "__main__":
main()