Tested bigger dataset

bench/config.py

@@ -21,8 +21,8 @@
 
 count_nodes = int(os.getenv('COUNT_NODES', '0'))
 count_edges = int(os.getenv('COUNT_EDGES', '0'))
-count_finds = int(os.getenv('COUNT_FINDS', '500'))
-count_analytics = int(os.getenv('COUNT_ANALYTICS', '50'))
+count_finds = int(os.getenv('COUNT_FINDS', '5000'))
+count_analytics = int(os.getenv('COUNT_ANALYTICS', '300'))
 count_changes = int(os.getenv('COUNT_CHANGES', '5000'))
 device_name = os.getenv('DEVICE_NAME', 'Unknown Device')
 
@@ -36,19 +36,18 @@
     # Test graph.
     ('/Users/av/Code/PyGraphDB/datasets/graph-test/all.csv', 8, 10),
 
-
     # Average degree: ~8.
     # http://networkrepository.com/fb-pages-company.php
-    ('/Users/av/Datasets/graph-communities/all.csv', 0, 52310),
+    # ('/Users/av/Datasets/graph-communities/all.csv', 0, 52310),
 
     # Average degree 90.
     # http://networkrepository.com/rec-eachmovie.php
-    ('/Users/av/Datasets/graph-eachmovie-ratings/all.csv', 0, 2811716),
+    # ('/Users/av/Datasets/graph-eachmovie-ratings/all.csv', 0, 2811716),
 
     # Patent Citation Network. 77 Mb.
     # Average degree: 8.
     # http://networkrepository.com/cit-patent.php
-    ('/Users/av/Datasets/graph-patent-citations/all.csv', 0, 16518947),
+    # ('/Users/av/Datasets/graph-patent-citations/all.csv', 0, 16518947),
 
     # Mouse gene regulatory network derived
     # from analyzing gene expression profiles. 162 Mb.
@@ -67,12 +66,12 @@
 
 wrapper_types = [
     # SQLiteMem,
+    SQLite,
+    MongoDB,
+    MySQL,
+    PostgreSQL,
     GraphLSM,
-    # SQLiteCpp,
-    # MongoDB,
-    # SQLite,
-    # MySQL,
-    # PostgreSQL,
+    SQLiteCpp,
     # Neo4J,
 ]
 

bench/p3_bench_simple.py

@@ -18,10 +18,10 @@ class SimpleBenchmark(object):
         5. Clearing all the data (if needed).
     """
 
-    def __init__(self, max_seconds_per_query=45):
+    def __init__(self, max_seconds_per_query=60):
         self.max_seconds_per_query = max_seconds_per_query
 
-    def run(self, repeat_existing=True):
+    def run(self, repeat_existing=False):
         self.repeat_existing = repeat_existing
         for dataset_path in config.datasets:
             self.dataset_path = dataset_path
@@ -55,7 +55,7 @@ def run_one(self, remove_all_afterwards=False):
         self.one('Retrieve Directed Edge', self.find_e_directed)
         self.one('Retrieve Undirected Edge', self.find_e_undirected)
 
-        # Queries returning collections.
+        # # Queries returning collections.
         self.one('Retrieve Outgoing Edges', self.find_es_from)
         self.one('Retrieve Ingoing Edges', self.find_es_to)
         self.one('Retrieve Connected Edges', self.find_es_related)