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stestagg/complex_schema.json

Created April 28, 2020 10:14
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fastavro perf test
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complex_schema.json
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Raw
requirements.txt
nunmpy
avro-python3
fastavro
Raw
test.py
import struct
from pathlib import Path
import os
import json
import random
from time import perf_counter
import avro.datafile
import avro.io
import fastavro
import fastavro.schema
from io import BytesIO
from numpy import random
import string
def percent(n):
return random.rand() < (n / 100)
def weighted(vals):
total = sum(vals.values())
value = random.rand() * total
running = 0
for key, weight in vals.items():
running += weight
if running > value:
return key
def randint(low, high):
return random.randint(low, max(high, low+1))
STRING_TABLE = ((string.punctuation + ((string.ascii_letters + string.digits) * 4))[:256]).encode('ascii')
NAME_TABLE = (((string.ascii_letters + string.digits) * 5)[:256]).encode('ascii')
def make_rand_str(max_len=15, trans_table=STRING_TABLE):
name_len = random.randint(min(5, max_len-1), max_len)
name_bytes = random.bytes(name_len)
return name_bytes.translate(trans_table).decode('ascii')
def make_name(max_len=15):
first_chr = random.choice(list(string.ascii_letters))
return first_chr + make_rand_str(max_len-1, NAME_TABLE)
def make_name_ns(len_hint=15):
if percent(80):
return make_name(len_hint)
parts = randint(1, 5)
return '.'.join(make_name(max(len_hint//parts, 1)) for _ in range(parts))
def make_map_val(ty, energy):
out = {}
for i in range(randint(0, energy * 2)):
out[make_rand_str()] = make_value_for_type(ty['values'], energy-1)
return out
def make_array_val(ty, energy):
return [make_value_for_type(ty['items'], energy-1) for _ in range(randint(0, energy * 2))]
def make_enum_val(ty, energy):
return random.choice(ty['symbols'])
def make_union_val(ty, energy):
if energy < 1:
simple = [t for t in ty if _get_type(t) not in {'record', 'array', 'map'}]
if simple:
return make_value_for_type(random.choice(simple), energy-1)
return make_value_for_type(random.choice(ty), energy-1)
def make_fixed_val(ty, energy):
return random.bytes(ty['size'])
def make_record_val(ty, energy):
return {f['name']: make_value_for_type(f['type'], energy-1) for f in ty['fields']}
def make_value_for_type(sch, energy):
makers = {
'null': lambda x, e: None,
'boolean': lambda x, e: bool(random.choice([False, True])),
'int': lambda x, e: random.randint(-2**30, 2**30),
'long': lambda x, e: random.randint(-2**62, 2**62),
'float': lambda x, e: struct.unpack('f', random.bytes(4))[0],
'double': lambda x, e: struct.unpack('d', random.bytes(8))[0],
'bytes': lambda x, e: random.bytes(randint(1, e * 3)),
'string': lambda x, e: random.bytes(randint(1, e * 3)).decode('utf-8', 'ignore'),
'map': make_map_val,
'enum': make_enum_val,
'fixed': make_fixed_val,
'union': make_union_val,
'array': make_array_val,
'record': make_record_val,
}
return makers[_get_type(sch)](sch, energy)
def _get_type(sch):
if isinstance(sch, list):
return 'union'
if isinstance(sch, str):
return sch
return sch['type']
SCHEMA = (Path(__file__).parent / 'complex_schema.json').read_text()
AVRO_SCHEMA = avro.schema.Parse(SCHEMA)
FASTAVRO_SCHEMA = fastavro.schema.parse_schema(json.loads(SCHEMA))
def test_avro(values):
#schema = avro.schema.Parse(SCHEMA)
schema = AVRO_SCHEMA
reader = avro.io.DatumReader(schema)
writer = avro.io.DatumWriter(schema)
for encoded_value in values:
value_buf = BytesIO(encoded_value)
output_buf = BytesIO()
decoder = avro.io.BinaryDecoder(value_buf)
encoder = avro.io.BinaryEncoder(output_buf)
decoded = reader.read(decoder)
encoded = writer.write(decoded, encoder)
def test_fastavro(values):
#schema = fastavro.schema.parse_schema(json.loads(SCHEMA))
schema = FASTAVRO_SCHEMA
for encoded_value in values:
value_buf = BytesIO(encoded_value)
decoded = fastavro.schemaless_reader(value_buf, schema)
output_buf = BytesIO()
fastavro.schemaless_writer(output_buf, schema, decoded)
def run_test(name, fn, values):
label = f'| {name}: '
print(label, end='', flush=True)
before = perf_counter()
fn(values)
after = perf_counter()
taken = after - before
rest = "%.2fs" % taken
print((rest).ljust(59 - len(label)) + "|")
return taken
def compare():
schema_obj = json.loads(SCHEMA)
print("Making 1000 sample values")
raw_values = [make_value_for_type(schema_obj, 5) for _ in range(1000)]
encoded = []
print("Encoding sample values")
fa_schema = fastavro.schema.parse_schema(schema_obj)
for value in raw_values:
output_buf = BytesIO()
fastavro.schemaless_writer(output_buf, fa_schema, value)
encoded.append(output_buf.getvalue())
run_test('avro', test_avro, encoded)
run_test('fastavro', test_fastavro, encoded)
if __name__ == '__main__':
compare()
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