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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import time
import pyarrow as pa
class HighLatencyReader(object):
def __init__(self, raw, latency):
self.raw = raw
self.latency = latency
def close(self):
self.raw.close()
@property
def closed(self):
return self.raw.closed
def read(self, nbytes=None):
time.sleep(self.latency)
return self.raw.read(nbytes)
class HighLatencyWriter(object):
def __init__(self, raw, latency):
self.raw = raw
self.latency = latency
def close(self):
self.raw.close()
@property
def closed(self):
return self.raw.closed
def write(self, data):
time.sleep(self.latency)
self.raw.write(data)
class BufferedIOHighLatency(object):
"""Benchmark creating a parquet manifest."""
increment = 1024
total_size = 16 * (1 << 20) # 16 MB
buffer_size = 1 << 20 # 1 MB
latency = 0.1 # 100ms
param_names = ('latency',)
params = [0, 0.01, 0.1]
def time_buffered_writes(self, latency):
test_data = b'x' * self.increment
bytes_written = 0
out = pa.BufferOutputStream()
slow_out = HighLatencyWriter(out, latency)
buffered_out = pa.output_stream(slow_out, buffer_size=self.buffer_size)
while bytes_written < self.total_size:
buffered_out.write(test_data)
bytes_written += self.increment
buffered_out.flush()
def time_buffered_reads(self, latency):
bytes_read = 0
reader = pa.input_stream(pa.py_buffer(b'x' * self.total_size))
slow_reader = HighLatencyReader(reader, latency)
buffered_reader = pa.input_stream(slow_reader,
buffer_size=self.buffer_size)
while bytes_read < self.total_size:
buffered_reader.read(self.increment)
bytes_read += self.increment
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