fix tiered results

tests/results_tiered

@@ -40,33 +40,33 @@ cache throughput (requests / s)      : 107.27478709180934
 real throughput  (requests / s)      : 49.79781897651969
 
 --- weighted_friend_readonly 0.25 Results ---
-hits: 635 misses: 9365 ratio: 0.0635
+hits: 2163 misses: 7837 ratio: 0.2163
-average response time (ms)           : 12.026190519332886
+average response time (ms)           : 10.19118001461029
-average cache hit response time (ms) : 0.0014263813889871433
+average cache hit response time (ms) : 0.08772910881307022
-average cache miss response time (ms): 12.841537580474837
+average cache miss response time (ms): 12.97971699422486
-cache throughput (requests / s)      : 83.15185082029382
+cache throughput (requests / s)      : 98.12406400106552
-real throughput  (requests / s)      : 75.84771942953694
+real throughput  (requests / s)      : 88.291946486926
 
 --- weighted_friend_readonly 0.50 Results ---
-hits: 1072 misses: 8928 ratio: 0.1072
+hits: 2796 misses: 7204 ratio: 0.2796
-average response time (ms)           : 11.465663266181945
+average response time (ms)           : 9.38545286655426
-average cache hit response time (ms) : 0.001328649805552924
+average cache hit response time (ms) : 0.07548079811281742
-average cache miss response time (ms): 12.842205236248645
+average cache miss response time (ms): 12.998817928098163
-cache throughput (requests / s)      : 87.21693431809628
+cache throughput (requests / s)      : 106.54786873029562
-real throughput  (requests / s)      : 79.27228928100207
+real throughput  (requests / s)      : 95.1474855850778
 
 --- weighted_friend_readonly 0.75 Results ---
-hits: 2253 misses: 7747 ratio: 0.2253
+hits: 4106 misses: 5894 ratio: 0.4106
-average response time (ms)           : 9.959305834770202
+average response time (ms)           : 7.740231680870056
-average cache hit response time (ms) : 0.0012218290786980208
+average cache hit response time (ms) : 0.05565987431944298
-average cache miss response time (ms): 12.855338268592709
+average cache miss response time (ms): 12.992649447636973
-cache throughput (requests / s)      : 100.40860443393278
+cache throughput (requests / s)      : 129.19509922054337
-real throughput  (requests / s)      : 90.2328882960655
+real throughput  (requests / s)      : 113.09939433219387
 
 --- weighted_friend_readonly 1 Results ---
-hits: 9992 misses: 8 ratio: 0.9992
+hits: 9998 misses: 2 ratio: 0.9998
-average response time (ms)           : 0.01112067699432373
+average response time (ms)           : 0.003992676734924316
-average cache hit response time (ms) : 0.0008874601894039646
+average cache hit response time (ms) : 0.0014036124790876145
-average cache miss response time (ms): 12.792408466339111
+average cache miss response time (ms): 12.946724891662598
-cache throughput (requests / s)      : 89922.582996559
+cache throughput (requests / s)      : 250458.54357626967
-real throughput  (requests / s)      : 1052.9166753169109
+real throughput  (requests / s)      : 1042.746318159068

tests/weighted_friend_readonly.py

@@ -9,8 +9,6 @@ from utils import print_report
 
 baseurl = "http://localhost:8000"
 
-chance_of_selecting_friend = 1
-
 user_friends = json.loads(requests.get(baseurl + "/users_and_friends").content)
 user_ids = json.loads(requests.get(baseurl + "/users").content)["ids"]
 
@@ -27,23 +25,25 @@ def generate_random_friend(user):
     next_user = str(random.choice(user_friends[user]))
     return next_user
 
-times = []
+for chance_of_selecting_friend in [0.25, 0.5, 0.75, 1.0]:
-hits = []
 
-start = time.time()
+    times = []
-curr_user = generate_random()
+    hits = []
-last_user = curr_user
-for i in tqdm(range(10000)):
-    url = baseurl + "/user/" + curr_user
-    response = requests.get(url)
-    content = json.loads(response.content)
-    times.append(content["time_ms"])
-    hits.append(content["source"] == "cache")
-    if fetch_friend(chance_of_selecting_friend):
-        curr_user = generate_random_friend(last_user)
-    else:
-        curr_user = generate_random()
-        last_user = curr_user
-end = time.time()
 
-print_report(hits, times, end - start)
+    start = time.time()
+    curr_user = generate_random()
+    last_user = curr_user
+    for i in tqdm(range(10000)):
+        url = baseurl + "/user/" + curr_user
+        response = requests.get(url)
+        content = json.loads(response.content)
+        times.append(content["time_ms"])
+        hits.append(content["source"] == "cache")
+        if fetch_friend(chance_of_selecting_friend):
+            curr_user = generate_random_friend(last_user)
+        else:
+            curr_user = generate_random()
+            last_user = curr_user
+    end = time.time()
+
+    print_report(hits, times, end - start)