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-rw-r--r--gitdb/test/performance/test_stream.py189
1 files changed, 0 insertions, 189 deletions
diff --git a/gitdb/test/performance/test_stream.py b/gitdb/test/performance/test_stream.py
index 0e47484..d64346e 100644
--- a/gitdb/test/performance/test_stream.py
+++ b/gitdb/test/performance/test_stream.py
@@ -3,193 +3,4 @@
# This module is part of GitDB and is released under
# the New BSD License: http://www.opensource.org/licenses/bsd-license.php
"""Performance data streaming performance"""
-from lib import TestBigRepoR
-from gitdb.db.py import *
-from gitdb.base import *
-from gitdb.stream import *
-from gitdb.util import (
- pool,
- bin_to_hex
- )
-from gitdb.typ import str_blob_type
-from gitdb.fun import chunk_size
-from async import (
- IteratorReader,
- ChannelThreadTask,
- )
-
-from cStringIO import StringIO
-from time import time
-import os
-import sys
-import stat
-import subprocess
-
-
-from lib import (
- TestBigRepoR,
- make_memory_file,
- with_rw_directory
- )
-
-
-#{ Utilities
-def read_chunked_stream(stream):
- total = 0
- while True:
- chunk = stream.read(chunk_size)
- total += len(chunk)
- if len(chunk) < chunk_size:
- break
- # END read stream loop
- assert total == stream.size
- return stream
-
-
-class TestStreamReader(ChannelThreadTask):
- """Expects input streams and reads them in chunks. It will read one at a time,
- requireing a queue chunk of size 1"""
- def __init__(self, *args):
- super(TestStreamReader, self).__init__(*args)
- self.fun = read_chunked_stream
- self.max_chunksize = 1
-
-
-#} END utilities
-
-class TestObjDBPerformance(TestBigRepoR):
-
- large_data_size_bytes = 1000*1000*50 # some MiB should do it
- moderate_data_size_bytes = 1000*1000*1 # just 1 MiB
-
- @with_rw_directory
- def test_large_data_streaming(self, path):
- ldb = PureLooseObjectODB(path)
- string_ios = list() # list of streams we previously created
-
- # serial mode
- for randomize in range(2):
- desc = (randomize and 'random ') or ''
- print >> sys.stderr, "Creating %s data ..." % desc
- st = time()
- size, stream = make_memory_file(self.large_data_size_bytes, randomize)
- elapsed = time() - st
- print >> sys.stderr, "Done (in %f s)" % elapsed
- string_ios.append(stream)
-
- # writing - due to the compression it will seem faster than it is
- st = time()
- sha = ldb.store(IStream('blob', size, stream)).binsha
- elapsed_add = time() - st
- assert ldb.has_object(sha)
- db_file = ldb.readable_db_object_path(bin_to_hex(sha))
- fsize_kib = os.path.getsize(db_file) / 1000
-
-
- size_kib = size / 1000
- print >> sys.stderr, "Added %i KiB (filesize = %i KiB) of %s data to loose odb in %f s ( %f Write KiB / s)" % (size_kib, fsize_kib, desc, elapsed_add, size_kib / elapsed_add)
-
- # reading all at once
- st = time()
- ostream = ldb.stream(sha)
- shadata = ostream.read()
- elapsed_readall = time() - st
-
- stream.seek(0)
- assert shadata == stream.getvalue()
- print >> sys.stderr, "Read %i KiB of %s data at once from loose odb in %f s ( %f Read KiB / s)" % (size_kib, desc, elapsed_readall, size_kib / elapsed_readall)
-
-
- # reading in chunks of 1 MiB
- cs = 512*1000
- chunks = list()
- st = time()
- ostream = ldb.stream(sha)
- while True:
- data = ostream.read(cs)
- chunks.append(data)
- if len(data) < cs:
- break
- # END read in chunks
- elapsed_readchunks = time() - st
-
- stream.seek(0)
- assert ''.join(chunks) == stream.getvalue()
-
- cs_kib = cs / 1000
- print >> sys.stderr, "Read %i KiB of %s data in %i KiB chunks from loose odb in %f s ( %f Read KiB / s)" % (size_kib, desc, cs_kib, elapsed_readchunks, size_kib / elapsed_readchunks)
-
- # del db file so we keep something to do
- os.remove(db_file)
- # END for each randomization factor
-
-
- # multi-threaded mode
- # want two, should be supported by most of todays cpus
- pool.set_size(2)
- total_kib = 0
- nsios = len(string_ios)
- for stream in string_ios:
- stream.seek(0)
- total_kib += len(stream.getvalue()) / 1000
- # END rewind
-
- def istream_iter():
- for stream in string_ios:
- stream.seek(0)
- yield IStream(str_blob_type, len(stream.getvalue()), stream)
- # END for each stream
- # END util
-
- # write multiple objects at once, involving concurrent compression
- reader = IteratorReader(istream_iter())
- istream_reader = ldb.store_async(reader)
- istream_reader.task().max_chunksize = 1
-
- st = time()
- istreams = istream_reader.read(nsios)
- assert len(istreams) == nsios
- elapsed = time() - st
-
- print >> sys.stderr, "Threads(%i): Compressed %i KiB of data in loose odb in %f s ( %f Write KiB / s)" % (pool.size(), total_kib, elapsed, total_kib / elapsed)
-
- # decompress multiple at once, by reading them
- # chunk size is not important as the stream will not really be decompressed
-
- # until its read
- istream_reader = IteratorReader(iter([ i.binsha for i in istreams ]))
- ostream_reader = ldb.stream_async(istream_reader)
-
- chunk_task = TestStreamReader(ostream_reader, "chunker", None)
- output_reader = pool.add_task(chunk_task)
- output_reader.task().max_chunksize = 1
-
- st = time()
- assert len(output_reader.read(nsios)) == nsios
- elapsed = time() - st
-
- print >> sys.stderr, "Threads(%i): Decompressed %i KiB of data in loose odb in %f s ( %f Read KiB / s)" % (pool.size(), total_kib, elapsed, total_kib / elapsed)
-
- # store the files, and read them back. For the reading, we use a task
- # as well which is chunked into one item per task. Reading all will
- # very quickly result in two threads handling two bytestreams of
- # chained compression/decompression streams
- reader = IteratorReader(istream_iter())
- istream_reader = ldb.store_async(reader)
- istream_reader.task().max_chunksize = 1
-
- istream_to_sha = lambda items: [ i.binsha for i in items ]
- istream_reader.set_post_cb(istream_to_sha)
-
- ostream_reader = ldb.stream_async(istream_reader)
-
- chunk_task = TestStreamReader(ostream_reader, "chunker", None)
- output_reader = pool.add_task(chunk_task)
- output_reader.max_chunksize = 1
-
- st = time()
- assert len(output_reader.read(nsios)) == nsios
- elapsed = time() - st
-
- print >> sys.stderr, "Threads(%i): Compressed and decompressed and read %i KiB of data in loose odb in %f s ( %f Combined KiB / s)" % (pool.size(), total_kib, elapsed, total_kib / elapsed)