DB engine comparison

artifacts/2022-09-24-s3billion/plot.R

@@ -10,7 +10,7 @@ ggplot(s, aes(x=total_objects, y=batch_dur_sec)) +
     y="Time (in sec) spent sending a batch (8192 objects)",
     x="Total number of objects stored in the cluster",
     caption="Get the code to reproduce this graph at https://git.deuxfleurs.fr/Deuxfleurs/mknet",
-    title="Storing 1M+ files on Garage! Impact of existing data on cluster interactiveness",
+    title="Storing 1M+ files in a bucket! Impact of existing data on cluster interactiveness",
     subtitle="Daemon: Garage v0.8 beta 2 with LMDB as db_engine\nBenchmark: 128 batch. 8192 objects/batch. 32 threads/batch. 256 objects/thread. 16-byte/objects.\nEnvironment: mknet (Ryzen 5 1400, 16GB RAM, SSD). DC topo (3 nodes, 1Gb/s, 1ms latency).") +
   theme_classic()
 ggsave("./plot.png", width=200, height=120, units="mm")

artifacts/2022-09-24-warp-db-engine/lmdb.log

@@ -0,0 +1,15 @@
+Mixed operations.
+Operation: DELETE, 10%, Concurrency: 20, Ran 4m59s.
+ * Throughput: 266.79 obj/s
+
+Operation: GET, 45%, Concurrency: 20, Ran 4m59s.
+ * Throughput: 0.29 MiB/s, 1200.51 obj/s
+
+Operation: PUT, 15%, Concurrency: 20, Ran 4m59s.
+ * Throughput: 0.10 MiB/s, 400.20 obj/s
+
+Operation: STAT, 30%, Concurrency: 20, Ran 4m59s.
+ * Throughput: 800.32 obj/s
+
+Cluster Total: 0.39 MiB/s, 2667.83 obj/s over 5m0s.
+Aggregated data saved to /tmp/mknet-store/warp.csv

artifacts/2022-09-24-warp-db-engine/plot.R

@@ -0,0 +1,17 @@
+library(tidyverse)
+
+read_csv("summary.csv")-> s
+ggplot(s, aes(x=db_engine,y=rate)) +
+  scale_y_continuous(expand=c(0,0), breaks = scales::pretty_breaks(n = 10))+
+  geom_bar(stat='identity',fill="#00BFC4", color="black") +
+  coord_flip() +
+  facet_wrap(~operation, scales = "free", dir="v") +
+  labs(
+    x="Metadata Engine",
+    y="Object/sec",
+    caption="Get the code to reproduce this graph at https://git.deuxfleurs.fr/Deuxfleurs/mknet",
+    title="Comparison of Garage's metadata engines with \"minio/warp\"",
+    subtitle="Daemon: Garage v0.8 no-fsync to avoid being impacted by block manager\nBenchmark: warp, mixed mode, 5min bench, 256B objects, initialized with 200 objects.\nEnvironment: mknet (Ryzen 5 1400, 16GB RAM, SSD). DC topo (3 nodes, 1Gb/s, 1ms latency).",
+  ) +
+  theme_classic()
+ggsave("./plot.png", width=200, height=120, units="mm")

artifacts/2022-09-24-warp-db-engine/sled.log

@@ -0,0 +1,15 @@
+Mixed operations.
+Operation: DELETE, 10%, Concurrency: 20, Ran 3m49s.
+ * Throughput: 129.83 obj/s
+
+Operation: GET, 45%, Concurrency: 20, Ran 3m49s.
+ * Throughput: 0.14 MiB/s, 584.32 obj/s
+
+Operation: PUT, 15%, Concurrency: 20, Ran 3m49s.
+ * Throughput: 0.05 MiB/s, 194.81 obj/s
+
+Operation: STAT, 30%, Concurrency: 20, Ran 3m49s.
+ * Throughput: 389.52 obj/s
+
+Cluster Total: 0.19 MiB/s, 1298.49 obj/s over 3m49s.
+Aggregated data saved to /tmp/mknet-store/warp.csv

artifacts/2022-09-24-warp-db-engine/sqlite.log

@@ -0,0 +1,15 @@
+Mixed operations.
+Operation: DELETE, 10%, Concurrency: 20, Ran 4m55s.
+ * Throughput: 1.29 obj/s
+
+Operation: GET, 45%, Concurrency: 20, Ran 4m55s.
+ * Throughput: 0.00 MiB/s, 5.75 obj/s
+
+Operation: PUT, 15%, Concurrency: 20, Ran 4m55s.
+ * Throughput: 0.00 MiB/s, 1.93 obj/s
+
+Operation: STAT, 30%, Concurrency: 20, Ran 4m56s.
+ * Throughput: 3.86 obj/s
+
+Cluster Total: 0.00 MiB/s, 12.83 obj/s over 4m55s.
+Aggregated data saved to /tmp/mknet-store/warp.csv

artifacts/2022-09-24-warp-db-engine/summary.csv

@@ -0,0 +1,13 @@
+db_engine,operation,rate
+lmdb,delete,266.79
+lmdb,get,1200.51
+lmdb,put,400
+lmdb,stat,800
+sled,delete,129.83
+sled,get,584.32
+sled,put,194.81
+sled,stat,389.52
+sqlite,delete,1.29
+sqlite,get,5.75
+sqlite,put,1.93
+sqlite,stat,3.86

scenarios/fragments/flavor.py

@@ -41,6 +41,7 @@ garage = grg_path({
 
 warp = {
     "warp-fast": "mixed --obj.size 5M --objects 200 --duration=5m",
+    "warp-small-obj": "mixed --obj.size 256 --objects 200 --duration=5m",
     "warp-default": "mixed"
 }
 

scenarios/garage-warp

@@ -2,19 +2,23 @@
 from fragments import garage, warp, shared, flavor
 import sys
 
+db_engines = [ 'sled', 'lmdb', 'sqlite' ]
+conf_root = {}
 for fl in sys.argv[1:]:
     if fl in flavor.garage:
         garage.version = flavor.garage[fl]
-    if fl in flavor.warp:
+    elif fl in flavor.warp:
         warp.bench = flavor.warp[fl]
+    elif fl in db_engines:
+        conf_root['db_engine'] = fl
 
 if shared.id() == 1:
-    garage.deploy_coord()
+    garage.deploy_coord(uroot=conf_root)
     warp.on_garage()
     garage.delete_key()
     garage.destroy()
 else:
-    garage.deploy_follow()
+    garage.deploy_follow(uroot=conf_root)
     garage.sync_on_key_down()
     garage.destroy()
 shared.log("bye")