revert to old benchmark script, even though neither of these is really being used
This commit is contained in:
Mike Dirolf
parent
a4b2b4efe5
commit
1d1346bef1
@ -16,154 +16,125 @@
|
||||
|
||||
import time
|
||||
import sys
|
||||
import os
|
||||
import datetime
|
||||
import subprocess
|
||||
sys.path[0:0] = [""]
|
||||
|
||||
from pymongo.connection import Connection
|
||||
from pymongo.bson import BSON
|
||||
from pymongo.binary import Binary
|
||||
import datetime
|
||||
import cProfile
|
||||
|
||||
from pymongo import connection
|
||||
from pymongo import ASCENDING
|
||||
|
||||
from mongodb_benchmark_tools import post_data
|
||||
|
||||
small = {"integer": 5,
|
||||
"number": 5.05,
|
||||
"boolean": False,
|
||||
"array": ["test", "benchmark"]
|
||||
}
|
||||
medium = {"base_url": "http://www.example.com/test-me",
|
||||
"total_word_count": 6743,
|
||||
"access_time": datetime.datetime.utcnow(),
|
||||
"sub_object": small,
|
||||
"data": Binary("hello" * 40),
|
||||
"big_array": ["mongodb"] * 20
|
||||
trials = 2
|
||||
per_trial = 5000
|
||||
batch_size = 100
|
||||
small = {}
|
||||
medium = {"integer": 5,
|
||||
"number": 5.05,
|
||||
"boolean": False,
|
||||
"array": ["test", "benchmark"]
|
||||
}
|
||||
large = {"bigger_array": [medium] * 5,
|
||||
"data": Binary("hello" * 500)
|
||||
# this is similar to the benchmark data posted to the user list
|
||||
large = {"base_url": "http://www.example.com/test-me",
|
||||
"total_word_count": 6743,
|
||||
"access_time": datetime.datetime.utcnow(),
|
||||
"meta_tags": {"description": "i am a long description string",
|
||||
"author": "Holly Man",
|
||||
"dynamically_created_meta_tag": "who know\n what"
|
||||
},
|
||||
"page_structure": {"counted_tags": 3450,
|
||||
"no_of_js_attached": 10,
|
||||
"no_of_images": 6
|
||||
},
|
||||
"harvested_words": ["10gen","web","open","source","application","paas",
|
||||
"platform-as-a-service","technology","helps",
|
||||
"developers","focus","building","mongodb","mongo"] * 20
|
||||
}
|
||||
|
||||
def setup_insert(db, collection, object):
|
||||
db.drop_collection(collection)
|
||||
|
||||
class Benchmark(object):
|
||||
name = "benchmark"
|
||||
description = "a benchmark"
|
||||
categories = []
|
||||
def insert(db, collection, object):
|
||||
for i in range(per_trial):
|
||||
to_insert = object.copy()
|
||||
to_insert["x"] = i
|
||||
db[collection].insert(to_insert)
|
||||
|
||||
def setup(self):
|
||||
pass
|
||||
def insert_batch(db, collection, object):
|
||||
for i in range(per_trial / batch_size):
|
||||
db[collection].insert([object] * batch_size)
|
||||
|
||||
def run(self, iterations):
|
||||
pass
|
||||
def find_one(db, collection, x):
|
||||
for _ in range(per_trial):
|
||||
db[collection].find_one({"x": x})
|
||||
|
||||
def teardown(self):
|
||||
pass
|
||||
def find(db, collection, x):
|
||||
for _ in range(per_trial):
|
||||
for _ in db[collection].find({"x": x}):
|
||||
pass
|
||||
|
||||
|
||||
class Encode(Benchmark):
|
||||
def __init__(self, document, size):
|
||||
self.name = "encode %s" % size
|
||||
self.description = "test encoding 10000 %s documents" % size
|
||||
self.categories = ["encode", size]
|
||||
self.__doc = document
|
||||
|
||||
def run(self, iterations):
|
||||
for _ in range(iterations):
|
||||
BSON.from_dict(self.__doc)
|
||||
|
||||
|
||||
class Decode(Benchmark):
|
||||
def __init__(self, bson, size):
|
||||
self.name = "decode %s" % size
|
||||
self.description = "test decoding 10000 %s documents" % size
|
||||
self.categories = ["decode", size]
|
||||
self.__bson = bson
|
||||
|
||||
def run(self, iterations):
|
||||
for _ in range(iterations):
|
||||
self.__bson.to_dict()
|
||||
|
||||
|
||||
class Insert(Benchmark):
|
||||
def __init__(self, db, document, size):
|
||||
self.__db = db
|
||||
self.__collection_name = "%s_no_index" % size
|
||||
self.__document = document
|
||||
self.name = "insert %s" % size
|
||||
self.description = "test inserting 10000 %s sized documents into a single collection"
|
||||
self.categories = ["insert", size, "no index"]
|
||||
|
||||
def setup(self):
|
||||
self.__db.drop_collection(self.__collection_name)
|
||||
self.__collection = self.__db[self.__collection_name]
|
||||
|
||||
def run(self, iterations):
|
||||
for i in range(iterations):
|
||||
doc = self.__document.copy()
|
||||
doc["x"] = i
|
||||
self.__collection.insert(doc)
|
||||
|
||||
|
||||
class FindOne(Benchmark):
|
||||
def __init__(self, collection, query, size):
|
||||
self.__collection = collection
|
||||
self.__query = query
|
||||
self.name = "find one %s" % size
|
||||
self.description = "test doing 10000 find one queries on a collection containing %s sized documents" % size
|
||||
self. categories = ["query", size, "find one", "no index"]
|
||||
|
||||
def run(self, iterations):
|
||||
for _ in range(iterations):
|
||||
self.__collection.find_one(self.__query)
|
||||
|
||||
|
||||
class BenchmarkRunner(object):
|
||||
def __init__(self, iterations, server_hash):
|
||||
self.__iterations = iterations
|
||||
self.__server_hash = server_hash
|
||||
self.__client_hash = self.get_client_hash()
|
||||
|
||||
def get_client_hash(self):
|
||||
git_rev_parse = subprocess.Popen(["git", "rev-parse", "HEAD"],
|
||||
stdout=subprocess.PIPE)
|
||||
(hash, _) = git_rev_parse.communicate()
|
||||
return hash.strip()
|
||||
|
||||
def report(self, benchmark, result):
|
||||
data = {"benchmark": {"project": "http://github.com/mongodb/mongo-python-driver",
|
||||
"name": benchmark.name,
|
||||
"description": benchmark.description,
|
||||
"tags": benchmark.categories},
|
||||
"trial": {"server_hash": self.__server_hash,
|
||||
"client_hash": self.__client_hash,
|
||||
"result": result,
|
||||
"extra_info": ""}}
|
||||
post_data(data, post_url="http://localhost:8080/benchmark")
|
||||
print "%s: %s" % (benchmark.name, result)
|
||||
|
||||
def run_benchmark(self, benchmark):
|
||||
benchmark.setup()
|
||||
def timed(name, function, args=[], setup=None):
|
||||
times = []
|
||||
for _ in range(trials):
|
||||
if setup:
|
||||
setup(*args)
|
||||
start = time.time()
|
||||
benchmark.run(self.__iterations)
|
||||
stop = time.time()
|
||||
benchmark.teardown()
|
||||
self.report(benchmark, stop - start)
|
||||
|
||||
function(*args)
|
||||
times.append(time.time() - start)
|
||||
best_time = min(times)
|
||||
print "%s%d" % (name + (60 - len(name)) * ".", per_trial / best_time)
|
||||
return best_time
|
||||
|
||||
def main():
|
||||
connection = Connection()
|
||||
runner = BenchmarkRunner(10000, connection.server_info()["gitVersion"])
|
||||
connection._TIMEOUT=60 # jack up the timeout
|
||||
c = connection.Connection()
|
||||
c.drop_database("benchmark")
|
||||
db = c.benchmark
|
||||
|
||||
runner.run_benchmark(Encode(small, "small"))
|
||||
runner.run_benchmark(Encode(medium, "medium"))
|
||||
runner.run_benchmark(Encode(large, "large"))
|
||||
timed("insert (small, no index)", insert, [db, 'small_none', small], setup_insert)
|
||||
timed("insert (medium, no index)", insert, [db, 'medium_none', medium], setup_insert)
|
||||
timed("insert (large, no index)", insert, [db, 'large_none', large], setup_insert)
|
||||
|
||||
runner.run_benchmark(Decode(BSON.from_dict(small), "small"))
|
||||
runner.run_benchmark(Decode(BSON.from_dict(medium), "medium"))
|
||||
runner.run_benchmark(Decode(BSON.from_dict(large), "large"))
|
||||
db.small_index.create_index("x", ASCENDING)
|
||||
timed("insert (small, indexed)", insert, [db, 'small_index', small])
|
||||
db.medium_index.create_index("x", ASCENDING)
|
||||
timed("insert (medium, indexed)", insert, [db, 'medium_index', medium])
|
||||
db.large_index.create_index("x", ASCENDING)
|
||||
timed("insert (large, indexed)", insert, [db, 'large_index', large])
|
||||
|
||||
runner.run_benchmark(Insert(connection.benchmark, medium, "medium"))
|
||||
timed("batch insert (small, no index)", insert_batch, [db, 'small_bulk', small], setup_insert)
|
||||
timed("batch insert (medium, no index)", insert_batch, [db, 'medium_bulk', medium], setup_insert)
|
||||
timed("batch insert (large, no index)", insert_batch, [db, 'large_bulk', large], setup_insert)
|
||||
|
||||
runner.run_benchmark(FindOne(connection.benchmark.medium_no_index, {"x": 5000}, "medium"))
|
||||
timed("find_one (small, no index)", find_one, [db, 'small_none', per_trial / 2])
|
||||
timed("find_one (medium, no index)", find_one, [db, 'medium_none', per_trial / 2])
|
||||
timed("find_one (large, no index)", find_one, [db, 'large_none', per_trial / 2])
|
||||
|
||||
timed("find_one (small, indexed)", find_one, [db, 'small_index', per_trial / 2])
|
||||
timed("find_one (medium, indexed)", find_one, [db, 'medium_index', per_trial / 2])
|
||||
timed("find_one (large, indexed)", find_one, [db, 'large_index', per_trial / 2])
|
||||
|
||||
timed("find (small, no index)", find, [db, 'small_none', per_trial / 2])
|
||||
timed("find (medium, no index)", find, [db, 'medium_none', per_trial / 2])
|
||||
timed("find (large, no index)", find, [db, 'large_none', per_trial / 2])
|
||||
|
||||
timed("find (small, indexed)", find, [db, 'small_index', per_trial / 2])
|
||||
timed("find (medium, indexed)", find, [db, 'medium_index', per_trial / 2])
|
||||
timed("find (large, indexed)", find, [db, 'large_index', per_trial / 2])
|
||||
|
||||
# timed("find range (small, no index)", find,
|
||||
# [db, 'small_none', {"$gt": per_trial / 4, "$lt": 3 * per_trial / 4}])
|
||||
# timed("find range (medium, no index)", find,
|
||||
# [db, 'medium_none', {"$gt": per_trial / 4, "$lt": 3 * per_trial / 4}])
|
||||
# timed("find range (large, no index)", find,
|
||||
# [db, 'large_none', {"$gt": per_trial / 4, "$lt": 3 * per_trial / 4}])
|
||||
|
||||
timed("find range (small, indexed)", find,
|
||||
[db, 'small_index', {"$gt": per_trial / 2, "$lt": per_trial / 2 + batch_size}])
|
||||
timed("find range (medium, indexed)", find,
|
||||
[db, 'medium_index', {"$gt": per_trial / 2, "$lt": per_trial / 2 + batch_size}])
|
||||
timed("find range (large, indexed)", find,
|
||||
[db, 'large_index', {"$gt": per_trial / 2, "$lt": per_trial / 2 + batch_size}])
|
||||
|
||||
if __name__ == "__main__":
|
||||
# cProfile.run("main()")
|
||||
main()
|
||||
|
||||
Loading…
Reference in New Issue
Block a user