From 26e138cb47dccc859ff219f108ce9b7d96cbcbcd Mon Sep 17 00:00:00 2001
From: Sebastian Thiel <byronimo@gmail.com>
Date: Thu, 3 Jun 2010 18:21:05 +0200
Subject: odb: fixed streamed decompression reader ( specific tests would still
 be missing ) and added performance tests which are extremely promising

---
 test/git/performance/test_streams.py | 91 ++++++++++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 test/git/performance/test_streams.py

(limited to 'test/git/performance/test_streams.py')

diff --git a/test/git/performance/test_streams.py b/test/git/performance/test_streams.py
new file mode 100644
index 00000000..15924c08
--- /dev/null
+++ b/test/git/performance/test_streams.py
@@ -0,0 +1,91 @@
+"""Performance data streaming performance"""
+
+from test.testlib import *
+from git.odb.db import *
+
+from array import array
+from cStringIO import StringIO
+from time import time
+import os
+import sys
+import stat
+import random
+
+
+from lib import (
+	TestBigRepoReadOnly
+	)
+
+
+
+def make_memory_file(size_in_bytes, randomize=False):
+	""":return: tuple(size_of_stream, stream)
+	:param randomize: try to produce a very random stream"""
+	actual_size = size_in_bytes / 4
+	producer = xrange(actual_size)
+	if randomize:
+		producer = list(producer)
+		random.shuffle(producer)
+	# END randomize
+	a = array('i', producer)
+	return actual_size*4, StringIO(a.tostring())
+
+
+class TestObjDBPerformance(TestBigRepoReadOnly):
+	
+	large_data_size_bytes = 1000*1000*10		# some MiB should do it
+	moderate_data_size_bytes = 1000*1000*1		# just 1 MiB
+	
+	@with_bare_rw_repo
+	def test_large_data_streaming(self, rwrepo):
+		ldb = LooseObjectDB(os.path.join(rwrepo.git_dir, 'objects'))
+		
+		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
+			
+			# writing - due to the compression it will seem faster than it is 
+			st = time()
+			sha = ldb.to_object('blob', size, stream)
+			elapsed = time() - st
+			assert ldb.has_object(sha)
+			fsize_kib = os.path.getsize(ldb.readable_db_object_path(sha)) / 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, size_kib / elapsed)
+			
+			# reading all at once
+			st = time()
+			type, size, shastream = ldb.object(sha)
+			shadata = shastream.read()
+			elapsed = 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, size_kib / elapsed)
+			
+			
+			# reading in chunks of 1 MiB
+			cs = 512*1000
+			chunks = list()
+			st = time()
+			type, size, shastream = ldb.object(sha)
+			while True:
+				data = shastream.read(cs)
+				chunks.append(data)
+				if len(data) < cs:
+					break
+			# END read in chunks
+			elapsed = 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, size_kib / elapsed)
+		# END for each randomization factor
-- 
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