diff --git a/reports.json b/reports.json
index 1f5c94a..5ed31f7 100644
--- a/reports.json
+++ b/reports.json
@@ -1 +1 @@
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--- /dev/null
+++ b/reports/c5db98cdcdae7d71623ccdfdc61b0b4675f8f42f.html
@@ -0,0 +1,727 @@
+<!DOCTYPE html>
+<html>
+    <head>
+    <meta charset="UTF-8">
+
+    <link
+        rel="stylesheet" type="text/css"
+        href="https://unpkg.com/normalize.css@7.0.0/normalize.css" />
+
+    <script
+        crossorigin
+        src="https://unpkg.com/@babel/standalone/babel.min.js">
+    </script>
+    <script
+        crossorigin
+        src="https://unpkg.com/react@17/umd/react.production.min.js">
+    </script>
+    <script
+        crossorigin
+        src="https://unpkg.com/react-dom@17/umd/react-dom.production.min.js">
+    </script>
+    <script
+        crossorigin
+        src="https://unpkg.com/d3@5.16.0/dist/d3.min.js">
+    </script>
+
+    <script>
+        var DATA = [{"desc": "\nThis is a test for Mode D, where 2 groups of blocks race for\nconnections in the pool with max capacity set to 6. The first group\n(0-5) has more dedicated time with the pool, so it should have\nrelatively lower latency than the second group (6-11). But the QoS\nis focusing on the latency distribution similarity, as we don't\nwant to starve only a few blocks because of the lack of capacity.\nTherefore, reconnection is a necessary cost for QoS.\n", "test_name": "test_server_connpool_1", "now": "2024-07-18 22:00:11.020397", "spec": {"timeout": 200, "duration": 11.0, "capacity": 6, "conn_cost_base": 0.05, "conn_cost_var": 0.01, "dbs": [{"db": "t0", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t1", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t2", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t3", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t4", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t5", "start_at": 0, "end_at": 5.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t6", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t7", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t8", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t9", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t10", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t11", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t0", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t1", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t2", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t3", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t4", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t5", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.03, "query_cost_var": 0.005}], "desc": "\n            This is a test for Mode D, where 2 groups of blocks race for\n            connections in the pool with max capacity set to 6. The first group\n            (0-5) has more dedicated time with the pool, so it should have\n            relatively lower latency than the second group (6-11). But the QoS\n            is focusing on the latency distribution similarity, as we don't\n            want to starve only a few blocks because of the lack of capacity.\n            Therefore, reconnection is a necessary cost for QoS.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 324.686317868, "total_lats": [0.08455365599996867, 2.1556423289999884, 8.425808457999949, 13.983502122999994, 20.11492867300001, 4.766151976996885, 3300], "score": 94, "scores": [{"name": "Average CV for range(0, 6)", "value": "0.0105", "score": "99.6", "weight": "18%"}, {"name": "Average CV for range(6, 12)", "value": "0.0084", "score": "99.2", "weight": "28%"}, {"name": "Average CV for range(0, 12)", "value": "0.2735", "score": "97.1", "weight": "48%"}, {"name": "Num of disconnects/query", "value": "0.3312", "score": "33.8", "weight": "6%"}], "lats": {"t0": [0.08455365599996867, 0.9335917779999932, 6.304562621000002, 11.874818253, 19.46011496, 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"transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 391.019591885, "event": "free", "dbname": "t6", "value": 1}, {"timestamp": 391.019604699, "event": "transfer-from", "dbname": "t9", "value": 0}, {"timestamp": 391.027885095, "event": "free", "dbname": "t3", "value": 1}, {"timestamp": 391.027894102, "event": "transfer-from", "dbname": "t4", "value": 0}, {"timestamp": 391.041319768, "event": "free", "dbname": "t8", "value": 1}, {"timestamp": 391.041332081, "event": "transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 391.044619624, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 391.044631556, "event": "transfer-from", "dbname": "t1", "value": 0}, {"timestamp": 391.059057254, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 391.059069226, "event": "transfer-from", "dbname": "t0", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 2195, "successful_disconnects": 2192}]}]}, {"desc": "\nThis test spec is to check the pool garbage collection feature.\nt1 is a constantly-running reference block, t2 starts in the middle\nwith a full qps and ends early to leave enough time for the pool to\nexecute garbage collection.\n", "test_name": "test_server_connpool_10", "now": "2024-07-18 22:00:31.479258", "spec": {"timeout": 100, "duration": 11.0, "capacity": 100, "conn_cost_base": 0.01, "conn_cost_var": 0.005, "dbs": [{"db": "t1", "start_at": 0, "end_at": 10.0, "qps": 329, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t2", "start_at": 4.0, "end_at": 6.0, "qps": 10199, "query_cost_base": 0.01, "query_cost_var": 0.005}], "desc": "\n            This test spec is to check the pool garbage collection feature.\n            t1 is a constantly-running reference block, t2 starts in the middle\n            with a full qps and ends early to leave enough time for the pool to\n            execute garbage collection.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": 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"nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}, {"timestamp": 411.016971553, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}, {"timestamp": 411.117517447, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}, {"timestamp": 411.220184144, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}, {"timestamp": 411.320852497, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}, {"timestamp": 411.421544925, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 94, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 238, "successful_disconnects": 138}]}]}, {"desc": "\nIn this test, we have 6x1500qps connections that simulate fast\nqueries (0.001..0.006s), and 6x700qps connections that simulate\nslow queries (~0.03s). The algorithm allocates connections\nfairly to both groups, essentially using the\n\"demand = avg_query_time * avg_num_of_connection_waiters\"\nformula. The QoS is at the same level for all DBs. (Mode B / C)\n", "test_name": "test_server_connpool_2", "now": "2024-07-18 22:00:59.000627", "spec": {"timeout": 200, "duration": 11.0, "capacity": 100, "conn_cost_base": 0.04, "conn_cost_var": 0.011, "dbs": [{"db": "t0", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t1", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t2", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t3", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t4", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t5", "start_at": 0, "end_at": 5.0, "qps": 1500, "query_cost_base": 0.001, "query_cost_var": 0.005}, {"db": "t6", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t7", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t8", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t9", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t10", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t11", "start_at": 3.0, "end_at": 7.0, "qps": 700, "query_cost_base": 0.03, "query_cost_var": 0.001}, {"db": "t0", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}, {"db": "t1", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}, {"db": "t2", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}, {"db": "t3", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}, {"db": "t4", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}, {"db": "t5", "start_at": 6.0, "end_at": 8.0, "qps": 700, "query_cost_base": 0.06, "query_cost_var": 0.01}], "desc": "\n            In this test, we have 6x1500qps connections that simulate fast\n            queries (0.001..0.006s), and 6x700qps connections that simulate\n            slow queries (~0.03s). The algorithm allocates connections\n            fairly to both groups, essentially using the\n            \"demand = avg_query_time * avg_num_of_connection_waiters\"\n            formula. The QoS is at the same level for all DBs. (Mode B / C)\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 411.615935881, "total_lats": [1.7030000094564457e-06, 1.9739999856938084e-06, 3.3960000109800603e-06, 1.249663288000022, 6.658439272999999, 0.001070127746470442, 70200], "score": 90, "scores": [{"name": "Average CV for range(0, 6)", "value": "0.0529", "score": "97.4", "weight": "15%"}, {"name": "Average CV for range(6, 12)", "value": "0.0107", "score": "97.9", "weight": "25%"}, {"name": "Average CV for range(0, 12)", "value": "0.8387", "score": "79.4", "weight": "45%"}, {"name": "Num of disconnects/query", "value": "0.0080", "score": "99.2", "weight": "15%"}], "lats": {"t0": [1.6029999869715539e-06, 1.8830000385605672e-06, 2.0040000094923016e-06, 0.6587222620000261, 5.680867169999999, 0.00011381212488869634, 8900], "t1": [1.6629999777251214e-06, 1.9039999870074098e-06, 2.0840000161115313e-06, 0.7560822879999591, 5.640311867999969, 0.00012451622888675905, 8900], "t2": [1.6530000266357092e-06, 1.942999972470716e-06, 2.134999988356867e-06, 0.7373768400000245, 5.628055329000006, 0.00012764174390279666, 8900], "t3": [1.6629999777251214e-06, 1.942999972470716e-06, 2.1339999989322678e-06, 0.7996467100000473, 5.644573985999955, 0.00012971241975152516, 8900], "t4": [1.7830000160756754e-06, 2.0039999526488828e-06, 2.273999996305065e-06, 0.7629059489999577, 5.658067648999975, 0.0001410047853942526, 8900], "t5": [1.7030000094564457e-06, 1.9639999777609773e-06, 2.174000030663592e-06, 0.7791457980000018, 5.624958091999986, 0.00012822880811240732, 8900], "t6": [1.934000010805903e-06, 0.6453592009999625, 1.216015710000022, 3.06806751900001, 7.1577842479999845, 0.9299145997341189, 2800], "t7": [1.9430000293141347e-06, 0.6413647690000062, 1.218516904000012, 3.075801834999993, 7.162185807000014, 0.9422658889208071, 2800], "t8": [1.8939999790745787e-06, 0.656357421999985, 1.226061130000005, 3.0663060559999735, 7.153489161000039, 0.9190645053322568, 2800], "t9": [1.9839999936266395e-06, 0.6397051399999896, 1.2147258940000256, 3.0684816970000384, 7.120218170999976, 0.960274354713673, 2800], "t10": [1.934000010805903e-06, 0.6593822880000175, 1.2134416490000035, 3.1264245749999873, 7.143278800999951, 0.9443955927073729, 2800], "t11": [1.8829999817171483e-06, 0.6369385080000143, 1.237625817000037, 3.14926082300002, 7.197264750999977, 0.8933307963477409, 2800]}, "pool_name": "edb.server.connpool.pool.Pool", "stats": [{"timestamp": 411.616153128, "capacity": 0, "blocks": [], "log": [{"timestamp": 411.616174959, "event": "connect", "dbname": "t0", "value": 1}, {"timestamp": 411.61618614, "event": "connect", "dbname": "t0", "value": 2}, {"timestamp": 411.616195587, "event": "connect", "dbname": "t1", "value": 1}, {"timestamp": 411.616203412, "event": "connect", "dbname": "t1", "value": 2}, {"timestamp": 411.616212419, "event": "connect", "dbname": "t2", "value": 1}, {"timestamp": 411.616219312, "event": "connect", "dbname": "t2", "value": 2}, 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"event": "transfer-from", "dbname": "t4", "value": 0}, {"timestamp": 498.675208214, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 498.675221339, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 498.675233391, "event": "transfer-from", "dbname": "t4", "value": 0}, {"timestamp": 498.675248299, "event": "transfer-from", "dbname": "t4", "value": 0}, {"timestamp": 498.678603436, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 498.678627301, "event": "transfer-from", "dbname": "t4", "value": 0}, {"timestamp": 498.680889553, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 498.680916253, "event": "transfer-from", "dbname": "t4", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 240, "successful_disconnects": 140}, {"timestamp": 498.686572404, "capacity": 100, "blocks": [{"dbname": "t0", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t1", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t4", "nwaiters_avg": 0, "nconns": 1, "npending": 0, "nwaiters": 2, "quota": 1}, {"dbname": "t5", "nwaiters_avg": 0, "nconns": 50, "npending": 49, "nwaiters": 1526, "quota": 1}], "log": [{"timestamp": 498.69858699, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 498.698628948, "event": "transfer-from", "dbname": "t4", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 271, "successful_disconnects": 218}, {"timestamp": 498.787198962, "capacity": 100, "blocks": [{"dbname": "t0", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t1", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t4", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t5", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 574, "quota": 1}], "log": [{"timestamp": 498.836166239, "event": "free", "dbname": "t4", "value": 1}, {"timestamp": 498.83617777, "event": "free", "dbname": "t3", "value": 1}, {"timestamp": 498.836185344, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 498.836191907, "event": "free", "dbname": "t1", "value": 1}, {"timestamp": 498.836198409, "event": "free", "dbname": "t0", "value": 1}, {"timestamp": 498.836234496, "event": "transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 498.83625234, "event": "transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 498.836258912, "event": "transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 498.836264643, "event": "transfer-from", "dbname": "t5", "value": 0}, {"timestamp": 498.836270444, "event": "transfer-from", "dbname": "t5", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 321, "successful_disconnects": 221}]}]}, {"desc": "\nSimilar to test 3, this test also has 6 requesters for 6 databases,\nthey have the same Q/s but with different query cost. In Mode C,\nwe should observe equal connection acquisition latency, fair and\nstable connection distribution and reasonable reconnection cost.\n", "test_name": "test_server_connpool_4", "now": "2024-07-18 22:03:08.496820", "spec": {"timeout": 200, "duration": 11.0, "capacity": 50, "conn_cost_base": 0.04, "conn_cost_var": 0.011, "dbs": [{"db": "t0", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t1", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.02, "query_cost_var": 0.01}, {"db": "t2", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.03, "query_cost_var": 0.015}, {"db": "t3", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.04, "query_cost_var": 0.02}, {"db": "t4", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.05, "query_cost_var": 0.025}, {"db": "t5", "start_at": 0, "end_at": 8.0, "qps": 1000, "query_cost_base": 0.06, "query_cost_var": 0.03}], "desc": "\n            Similar to test 3, this test also has 6 requesters for 6 databases,\n            they have the same Q/s but with different query cost. In Mode C,\n            we should observe equal connection acquisition latency, fair and\n            stable connection distribution and reasonable reconnection cost.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 499.025309171, "total_lats": [2.4440000174763554e-06, 6.931911458999991, 13.525618290000011, 19.62360454200001, 25.246925126000065, 7.885826289570822, 48000], "score": 98, "scores": [{"name": "Average CV for range(0, 6)", "value": "0.0228", "score": "97.7", "weight": "90%"}, {"name": "Num of disconnects/query", "value": "0.0203", "score": "98.0", "weight": "10%"}], "lats": {"t0": [2.394000034655619e-06, 7.747083547000045, 14.251050158999988, 19.995784461000028, 25.270535521, 8.282107423456404, 8000], "t1": [2.3939999778122e-06, 6.899585350999985, 13.563044607999984, 19.987301790000004, 25.318732120999982, 7.8872520826095815, 8000], "t2": [2.403999985745031e-06, 6.734853186000009, 13.248012820000042, 19.439870772999996, 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0, "npending": 0, "nwaiters": 1, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 50, "npending": 0, "nwaiters": 155, "quota": 1}, {"dbname": "t4", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t5", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [{"timestamp": 568.509734595, "event": "free", "dbname": "t5", "value": 1}, {"timestamp": 568.509752609, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 568.51086495, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 568.510870811, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 568.513961554, "event": "free", "dbname": "t1", "value": 1}, {"timestamp": 568.513969008, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 568.516140692, "event": "free", "dbname": "t0", "value": 1}, {"timestamp": 568.516146382, "event": "transfer-from", "dbname": "t3", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 111, "successful_disconnects": 61}]}]}, {"desc": "\nThis is a mixed test with pool max capacity set to 6. Requests in\nthe first group (0-5) come and go alternatively as time goes on,\neven with different query cost, so its latency similarity doesn't\nmatter much, as far as the latency distribution is not too crazy\nand unstable. However the second group (6-11) has a stable\nenvironment - pressure from the first group is quite even at the\ntime the second group works. So we should observe a high similarity\nin the second group. Also due to a low query cost, the second group\nshould have a higher priority in connection acquisition, therefore\na much lower latency distribution comparing to the first group.\nPool Mode wise, we should observe a transition from Mode A to C,\nthen D and eventually back to C. One regression to be aware of is\nthat, the last D->C transition should keep the pool running at\na full capacity.\n", "test_name": "test_server_connpool_5", "now": "2024-07-18 22:05:50.315087", "spec": {"timeout": 300, "duration": 11.0, "capacity": 6, "conn_cost_base": 0.15, "conn_cost_var": 0.05, "dbs": [{"db": "t0", "start_at": 0.0, "end_at": 5.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t1", "start_at": 1.0, "end_at": 6.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t2", "start_at": 2.0, "end_at": 7.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t3", "start_at": 3.0, "end_at": 8.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t4", "start_at": 4.0, "end_at": 9.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t5", "start_at": 5.0, "end_at": 10.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "t6", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t7", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t8", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t9", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t10", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t11", "start_at": 3.0, "end_at": 7.0, "qps": 50, "query_cost_base": 0.008, "query_cost_var": 0.003}, {"db": "t0", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}, {"db": "t1", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}, {"db": "t2", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}, {"db": "t3", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}, {"db": "t4", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}, {"db": "t5", "start_at": 6.0, "end_at": 8.0, "qps": 50, "query_cost_base": 0.003, "query_cost_var": 0.002}], "desc": "\n            This is a mixed test with pool max capacity set to 6. Requests in\n            the first group (0-5) come and go alternatively as time goes on,\n            even with different query cost, so its latency similarity doesn't\n            matter much, as far as the latency distribution is not too crazy\n            and unstable. However the second group (6-11) has a stable\n            environment - pressure from the first group is quite even at the\n            time the second group works. So we should observe a high similarity\n            in the second group. Also due to a low query cost, the second group\n            should have a higher priority in connection acquisition, therefore\n            a much lower latency distribution comparing to the first group.\n            Pool Mode wise, we should observe a transition from Mode A to C,\n            then D and eventually back to C. One regression to be aware of is\n            that, the last D->C transition should keep the pool running at\n            a full capacity.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 568.63383601, "total_lats": [4.0380000427830964e-06, 1.5211990899999819, 10.077981396999917, 18.28799716100002, 22.103165305999937, 3.3571316537419666, 6300], "score": 94, "scores": [{"name": "Average CV for range(0, 6)", "value": "0.2950", "score": "92.6", "weight": "5%"}, {"name": "Average CV for range(6, 12)", "value": "0.1893", "score": "95.3", "weight": "25%"}, {"name": "P75 ratio range(0, 6)/range(6, 12)", "value": "9.7725", "score": "91.9", "weight": "45%"}, {"name": "Num of disconnects/query", "value": "0.0624", "score": "93.8", "weight": "15%"}, {"name": "Ending capacity", "value": 6, "score": "100.0", "weight": "10%"}], "lats": {"t0": [3.927000079784193e-06, 0.27064150000001064, 5.019730844000037, 13.185225128999946, 17.621224176000055, 0.3275518222336382, 850], "t1": [5.639999926643213e-06, 0.45575623800004905, 10.632819734999998, 19.12264224799992, 20.620896003999974, 3.9842056331496956, 850], "t2": [0.278283139999985, 7.927911042999995, 16.148160125000004, 20.673536988000023, 22.453621172, 9.532665372673124, 850], "t3": [0.18828868699995382, 9.537732393000056, 18.048801604000005, 20.722477244999936, 22.046547489999966, 11.418114461899732, 850], "t4": [0.48443509599997014, 9.463122231000057, 16.456059162999964, 19.474448986000084, 20.668793671999993, 11.377037772954433, 850], "t5": [0.5633257109999477, 8.535455935999948, 15.33173156700002, 18.351289253000004, 19.676092638, 11.104223422249161, 850], "t6": [3.687000003083085e-06, 0.2741680980000183, 0.6331633510000074, 1.331300357000032, 6.6060849910001025, 0.39592480996716684, 200], "t7": [3.026000058525824e-06, 0.3820836289999079, 1.1496682240000382, 2.5780159939999976, 6.467106285, 0.5229922770345171, 200], "t8": [3.547000005710288e-06, 0.3851319630000489, 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In this case, we don't want to\nhave lots of reconnection overhead.\n", "test_name": "test_server_connpool_6", "now": "2024-07-18 22:06:21.743808", "spec": {"timeout": 100, "duration": 11.0, "capacity": 6, "conn_cost_base": 0.15, "conn_cost_var": 0.05, "dbs": [{"db": "one-db", "start_at": 0.0, "end_at": 5.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "one-db", "start_at": 1.0, "end_at": 6.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "one-db", "start_at": 2.0, "end_at": 7.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "one-db", "start_at": 3.0, "end_at": 8.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "one-db", "start_at": 4.0, "end_at": 9.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}, {"db": "one-db", "start_at": 5.0, "end_at": 10.0, "qps": 150, "query_cost_base": 0.02, "query_cost_var": 0.005}], "desc": "\n            This is a simple test for Mode A. In this case, we don't want to\n            have lots of reconnection overhead.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 730.452129604, "total_lats": [3.0859999924359727e-06, 0.8137468279999212, 2.963713882000093, 5.0970442349999985, 5.956866083000023, 0.7144789157066173, 4500], "score": 100, "scores": [{"name": "Num of disconnects/query", "value": "0.0000", "score": "100.0", "weight": "100%"}], "lats": {"one-db": [3.0859999924359727e-06, 0.8137468279999212, 2.963713882000093, 5.0970442349999985, 5.956866083000023, 0.7144789157066173, 4500]}, "pool_name": "edb.server.connpool.pool.Pool", "stats": [{"timestamp": 730.452205207, "capacity": 0, "blocks": [], "log": [{"timestamp": 730.452225095, "event": "connect", "dbname": "one-db", "value": 1}, {"timestamp": 730.459378341, "event": "connect", "dbname": "one-db", "value": 2}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 0, "successful_disconnects": 0}, 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"successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 760.950416932, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 274, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.055184773, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 243, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.158907892, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 211, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.259621411, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 180, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.359905149, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 150, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.462504262, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 120, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.564114126, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 91, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.669246838, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 58, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}, {"timestamp": 761.769914801, "capacity": 6, "blocks": [{"dbname": "one-db", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 28, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 6, "successful_disconnects": 0}]}]}, {"desc": "\nThe point of this test is to have one connection \"t1\" that\njust has crazy demand for connections.  Then the \"t2\" connections\nare infrequent -- so they have a miniscule quota.\n\nOur goal is to make sure that \"t2\" has good QoS and gets\nits queries processed as soon as they're submitted. Therefore,\n\"t2\" should have way lower connection acquisition cost than \"t1\".\n", "test_name": "test_server_connpool_7", "now": "2024-07-18 22:07:31.726537", "spec": {"timeout": 100, "duration": 11.0, "capacity": 6, "conn_cost_base": 0.05, "conn_cost_var": 0.01, "dbs": [{"db": "t1", "start_at": 0, "end_at": 10.0, "qps": 500, "query_cost_base": 0.04, "query_cost_var": 0.005}, {"db": "t2", "start_at": 1.0, "end_at": 3.0, "qps": 30, "query_cost_base": 0.03, "query_cost_var": 0.005}, {"db": "t2", "start_at": 6.0, "end_at": 9.0, "qps": 30, "query_cost_base": 0.01, "query_cost_var": 0.005}], "desc": "\n            The point of this test is to have one connection \"t1\" that\n            just has crazy demand for connections.  Then the \"t2\" connections\n            are infrequent -- so they have a miniscule quota.\n\n            Our goal is to make sure that \"t2\" has good QoS and gets\n            its queries processed as soon as they're submitted. Therefore,\n            \"t2\" should have way lower connection acquisition cost than \"t1\".\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 761.880763338, "total_lats": [4.077999960827583e-06, 6.07725860700009, 12.163441887999966, 18.083943338999916, 23.745979368000008, 6.7656724406940025, 5150], "score": 100, "scores": [{"name": "P99 ratio range(1, 2)/range(2, 3)", "value": "179.9666", "score": "100.0", "weight": "20%"}, {"name": "P75 ratio range(1, 2)/range(2, 3)", "value": "278.6669", "score": "100.0", "weight": "40%"}, {"name": "Num of disconnects/query", "value": "0.0074", "score": "99.3", "weight": "40%"}], "lats": {"t1": [0.10433162699996501, 6.738072418000002, 12.51207910300002, 18.263309765999907, 23.753033289999962, 8.383949774873637, 5000], "t2": [2.835000032064272e-06, 0.005278614000076232, 0.03589585299994269, 0.0655381409999336, 0.13198575700005222, 0.0053176647910127845, 150]}, "pool_name": 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"nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 80, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 154, "successful_disconnects": 148}, {"timestamp": 831.37932884, "capacity": 6, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 64, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 154, "successful_disconnects": 148}, {"timestamp": 831.483253628, "capacity": 6, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 49, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 154, "successful_disconnects": 148}, {"timestamp": 831.583483037, "capacity": 6, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 33, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 154, "successful_disconnects": 148}, {"timestamp": 831.687493355, "capacity": 6, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 6, "npending": 0, "nwaiters": 19, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [{"timestamp": 831.775441621, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 831.775454986, "event": "transfer-from", "dbname": "t1", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 154, "successful_disconnects": 148}]}]}, {"desc": "\nThis test spec is to check the pool connection reusability with a\nsingle block before the pool reaches its full capacity in Mode A.\nWe should observe just enough number of connects to serve the load,\nwhile there can be very few disconnects because of GC.\n", "test_name": "test_server_connpool_8", "now": "2024-07-18 22:07:46.959907", "spec": {"timeout": 200, "duration": 11.0, "capacity": 100, "conn_cost_base": 0, "conn_cost_var": 0, "dbs": [{"db": "t1", "start_at": 0, "end_at": 1.0, "qps": 329, "query_cost_base": 0.01, "query_cost_var": 0}, {"db": "t1", "start_at": 1.0, "end_at": 2.0, "qps": 659, "query_cost_base": 0.01, "query_cost_var": 0}, {"db": "t1", "start_at": 2.0, "end_at": 6.0, "qps": 1319, "query_cost_base": 0.01, "query_cost_var": 0}], "desc": "\n            This test spec is to check the pool connection reusability with a\n            single block before the pool reaches its full capacity in Mode A.\n            We should observe just enough number of connects to serve the load,\n            while there can be very few disconnects because of GC.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 831.863462222, "total_lats": [1.7439999737689504e-06, 2.1939999896858353e-06, 3.0859999924359727e-06, 3.6970000110159162e-06, 8.084999990387587e-06, 3.158770122876558e-06, 6264], "score": 100, "scores": [{"name": "Num of disconnects/query", "value": "0.0035", "score": "99.6", "weight": "100%"}], "lats": {"t1": [1.7439999737689504e-06, 2.1939999896858353e-06, 3.0859999924359727e-06, 3.6970000110159162e-06, 8.084999990387587e-06, 3.158770122876558e-06, 6264]}, "pool_name": "edb.server.connpool.pool.Pool", "stats": [{"timestamp": 831.863525291, "capacity": 0, "blocks": [], "log": [{"timestamp": 831.863547363, "event": "connect", "dbname": "t1", "value": 1}, {"timestamp": 831.866701389, "event": "connect", "dbname": "t1", "value": 2}, {"timestamp": 831.869822732, "event": "connect", "dbname": "t1", "value": 3}, {"timestamp": 831.872930822, "event": "connect", "dbname": "t1", "value": 4}], 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"capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 100, "successful_disconnects": 0}, {"timestamp": 846.645982513, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 100, "successful_disconnects": 0}, {"timestamp": 846.747951348, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 100, "successful_disconnects": 0}, {"timestamp": 846.848918334, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 100, "successful_disconnects": 0}, {"timestamp": 846.949699641, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 100, "npending": 0, "nwaiters": 0, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 100, "successful_disconnects": 0}]}]}, {"desc": "\nThis test spec is to check the pool performance with low traffic\nbetween 3 pre-heated blocks in Mode B. t1 is a reference block,\nt2 has the same qps as t1, but t3 with doubled qps came in while t2\nis active. As the total throughput is low enough, we shouldn't have\na lot of connects and disconnects, nor a high acquire waiting time.\n", "test_name": "test_server_connpool_9", "now": "2024-07-18 22:08:10.769429", "spec": {"timeout": 200, "duration": 11.0, "capacity": 100, "conn_cost_base": 0.01, "conn_cost_var": 0.005, "dbs": [{"db": "t1", "start_at": 0, "end_at": 1.0, "qps": 329, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t1", "start_at": 1.0, "end_at": 4.0, "qps": 659, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t2", "start_at": 5.0, "end_at": 6.0, "qps": 329, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t2", "start_at": 6.0, "end_at": 10.0, "qps": 659, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t3", "start_at": 7.0, "end_at": 8.0, "qps": 659, "query_cost_base": 0.01, "query_cost_var": 0.005}, {"db": "t3", "start_at": 8.0, "end_at": 9.0, "qps": 1319, "query_cost_base": 0.01, "query_cost_var": 0.005}], "desc": "\n            This test spec is to check the pool performance with low traffic\n            between 3 pre-heated blocks in Mode B. t1 is a reference block,\n            t2 has the same qps as t1, but t3 with doubled qps came in while t2\n            is active. As the total throughput is low enough, we shouldn't have\n            a lot of connects and disconnects, nor a high acquire waiting time.\n            ", "disconn_cost_base": 0.006, "disconn_cost_var": 0.0015}, "runs": [{"test_started_at": 847.096853431, "total_lats": [1.9940000584028894e-06, 2.9750000294370693e-06, 3.7370000427472405e-06, 4.6789999714746955e-06, 3.1830000011723314e-05, 4.001519383092216e-06, 7250], "score": 100, "scores": [{"name": "Average CV for range(1, 4)", "value": "0.1682", "score": "100.0", "weight": "10%"}, {"name": "Average P99 of range(1, 4)", "value": "0.0011", "score": "98.6", "weight": "10%"}, {"name": "Average P75 of range(1, 4)", "value": "0.0000", "score": "100.0", "weight": "20%"}, {"name": "Num of disconnects/query", "value": "0.0055", "score": "99.4", "weight": "60%"}], "lats": {"t1": [2.7560000717130606e-06, 3.325999955450243e-06, 3.816999992523051e-06, 4.619000037564547e-06, 1.0188999908677943e-05, 4.156711951608584e-06, 2306], "t2": 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405, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 192, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 118, "successful_disconnects": 18}, {"timestamp": 870.215937203, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 370, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 150, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 118, "successful_disconnects": 18}, {"timestamp": 870.316530719, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 333, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 109, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 118, "successful_disconnects": 18}, {"timestamp": 870.416661044, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 290, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 68, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 118, "successful_disconnects": 18}, {"timestamp": 870.517976215, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 252, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 4, "npending": 0, "nwaiters": 29, "quota": 1}], "log": [{"timestamp": 870.580261089, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 870.580285014, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 870.588953374, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 870.588970476, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 870.596530879, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 870.596550927, "event": "transfer-from", "dbname": "t3", "value": 0}, {"timestamp": 870.617034576, "event": "free", "dbname": "t2", "value": 1}, {"timestamp": 870.617044655, "event": "transfer-from", "dbname": "t3", "value": 0}], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 118, "successful_disconnects": 18}, {"timestamp": 870.618165816, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 6, "npending": 2, "nwaiters": 209, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 120, "successful_disconnects": 21}, {"timestamp": 870.718964688, "capacity": 100, "blocks": [{"dbname": "t1", "nwaiters_avg": 0, "nconns": 92, "npending": 0, "nwaiters": 0, "quota": 1}, {"dbname": "t2", "nwaiters_avg": 0, "nconns": 8, "npending": 0, "nwaiters": 129, "quota": 1}, {"dbname": "t3", "nwaiters_avg": 0, "nconns": 0, "npending": 0, "nwaiters": 1, "quota": 1}], "log": [], "failed_connects": 0, "failed_disconnects": 0, "successful_connects": 122, "successful_disconnects": 22}]}]}];
+        var PALETTE = [
+            '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd',
+            '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf',
+            '#aec7e8', '#ffbb78', '#98df8a', '#ff9896', '#c5b0d5',
+            '#c49c94', '#f7b6d2', '#dbdb8d', '#9edae5'
+        ];
+    </script>
+
+    <style>
+        :root {
+            --boxWidth: 3px;
+            --boxHeight: 1.6em;
+        }
+
+        html {
+            font-family: -apple-system, BlinkMacSystemFont, sans-serif;
+        }
+
+        .num {
+            font-weight: bold;
+        }
+        .smallNum {
+            font-size: 80%;
+        }
+
+        .smallNum span {
+            display: inline flow-root;
+        }
+
+        .conns {
+            min-width: 500px;
+            margin-top: 30px;
+        }
+
+        .connBoxes {
+        }
+        .testRun th {
+            padding: 7px;
+            margin: 0;
+            font-size: 80%;
+            text-transform: uppercase;
+            text-align: left !important;
+        }
+        .conns td {
+            padding: 4px 7px;
+            margin: 0;
+        }
+        .conns tr {
+            padding: 0;
+            margin: 0;
+        }
+        .connBoxes .connBoxCnt {
+            display: flex;
+        }
+        .connBoxes .connBox {
+            width: var(--boxWidth);
+            height: var(--boxHeight);
+            background-color: currentColor;
+            opacity: 80%;
+        }
+        .connBoxes .verBars {
+            display: flex;
+            flex-direction: column;
+        }
+        .connBoxes .connBox.connBoxPending {
+            background: repeating-linear-gradient(
+                45deg,
+                currentColor,
+                currentColor 2px,
+                #e7e7e7 2px,
+                #e7e7e7 4px
+            );
+        }
+        header {
+            padding: 0 15px;
+        }
+        .testRun {
+            width: 49vw;
+            display: grid;
+            grid-template-areas:
+                "header"
+                "server";
+            grid-template-rows: auto auto;
+            grid-template-columns: auto auto;
+            align-content: start;
+        }
+        button {
+            border: none;
+            background: none;
+            outline: none !important;
+        }
+        button:hover {
+            cursor: pointer;
+            border: none;
+            background: none;
+        }
+        .testRun .testHead {
+            grid-area: header;
+            padding: 0 15px;
+        }
+        .testRun .testHead p:first-child {
+            margin-top: 0;
+        }
+        .testRun .testServer {
+            grid-area: server;
+        }
+        .testRun .testServer table {
+            width: 100%;
+        }
+        .testRun .testServer table table {
+            width: auto;
+        }
+        .testRun .connsLog {
+            padding-left: calc(20px + 1.7em);
+        }
+        .testRun .testClient {
+            grid-area: client;
+            width: 250px;
+            padding: 50px;
+            position: relative;
+        }
+
+        .popup {
+            position: sticky;
+            top: 80px;
+            background: #e7e7e7;
+            border-radius: 4px;
+            padding: 20px 30px;
+        }
+        .popup h2 {
+            font-size: 80%;
+            text-transform: uppercase;
+        }
+        .boxchart {
+            width: 600px;
+            height: 240px;
+        }
+        .details {
+            display: flex;
+            flex-direction: row;
+        }
+        .runs {
+            display: flex;
+        }
+        .hidden {
+            display: none;
+        }
+        .testTopHead {
+            display: flex;
+            flex-direction: row;
+            padding: 15px 0 0 0;
+            border-top: 1px solid #eee;
+        }
+        .testTop {
+            margin-bottom: 30px;
+        }
+        code {
+            background-color: #eee;
+            border-radius: 6px;
+            display: inline-block;
+        }
+    </style>
+
+    <script type="text/babel">
+        function* nextColor() {
+            let i = 0;
+            while (1) {
+                yield PALETTE[i++];
+                if (i >= PALETTE.length) {
+                    i = 0;
+                }
+            }
+        }
+
+        class TestResults {
+            constructor(data) {
+                this._colorGen = nextColor();
+                this._nextColor = () => this._colorGen.next().value;
+
+                this.nameToColor = new Map();
+
+                this.desc = data['desc'];
+                this.generated_on = data['now'];
+                this.test_name = data['test_name'];
+                this.spec = data['spec'];
+                this.runs = data['runs'];
+            }
+
+            getColor(name) {
+                let color = this.nameToColor.get(name);
+                if (color) {
+                    return color;
+                }
+
+                color = this._nextColor();
+                this.nameToColor.set(name, color);
+                return color;
+            }
+        }
+
+        function formatNum(n) {
+            if (n - Math.floor(n)) {
+                return n.toFixed(3);
+            } else {
+                return n.toString()
+            }
+        }
+
+        class LatencyChart extends React.Component {
+            constructor(props) {
+                super(props);
+                this.svg = React.createRef();
+            }
+
+            componentDidMount() {
+                this.draw(
+                    this.svg.current,
+                    this.props.runData.lats,
+                    this.props.runData.total_lats,
+                );
+            }
+
+            draw(el, data, tdata) {
+                const height = 240;
+                const width = 600;
+
+                console.log(data);
+
+                let maxLat = 0;
+                for (let row of Object.values(data)) {
+                    if (maxLat < row[4]) {
+                        maxLat = row[4];
+                    }
+                }
+
+                let x0 = d3.scaleBand()
+                    .range([0, width - 50])
+                    .padding(0.2)
+                    .domain(Object.keys(data));
+
+                let y = d3.scaleLinear()
+                    .range([height - 40, 0])
+                    .domain([0, maxLat]);
+
+                let yAxis = d3.axisLeft(y);
+                let xAxis = d3.axisBottom(x0);
+
+                let chart = d3.select(el)
+                    .attr('viewBox', `0 0 ${width} ${height}`)
+                    .append("g")
+                        .attr("transform", 'translate(40, 10)');
+
+                chart.append("g")
+                    .attr("transform", `translate(0, ${height - 30})`)
+                    .call(xAxis);
+
+                chart.append("g")
+                    .call(yAxis)
+                    .append("text")
+                        .attr("transform", "rotate(-90)")
+                        .attr("y", 6)
+                        .attr("dy", ".71em")
+                        .style("text-anchor", "end");
+
+                let g = chart.selectAll(".bench")
+                    .data(Object.entries(data))
+                    .enter().append("g");
+
+                let X = (d, i) => x0(d[0]);
+                let DX = x0.bandwidth();
+
+                let getColor = (x) => this.props.tr.getColor(x[0]);
+
+                g.append('line')
+                    .attr('y1', d => y(d[1][4]))
+                    .attr('y2', d => y(d[1][4]))
+                    .attr('x1', X)
+                    .attr('x2', (d, i) => X(d, i) + DX)
+                    .style("stroke", getColor);
+
+                g.append('line')
+                    .attr('y1', d => y(d[1][0]))
+                    .attr('y2', d => y(d[1][0]))
+                    .attr('x1', X)
+                    .attr('x2', (d, i) => (X(d, i) + DX))
+                    .style("stroke", getColor);
+
+                g.append('line')
+                    .attr('y1', d => y(d[1][2]))
+                    .attr('y2', d => y(d[1][2]))
+                    .attr('x1', X)
+                    .attr('x2', (d, i) => (X(d, i) + DX))
+                    .style("stroke", getColor);
+
+                g.append('line')
+                    .attr('y1', d => y(d[1][0]))
+                    .attr('y2', d => y(d[1][1]))
+                    .attr('x1', (d, i) => (X(d, i) + DX / 2))
+                    .attr('x2', (d, i) => (X(d, i) + DX / 2))
+                    .style("stroke", getColor)
+                    .style("stroke-dasharray", "2,2");
+
+                g.append('line')
+                    .attr('y1', d => y(d[1][4]))
+                    .attr('y2', d => y(d[1][3]))
+                    .attr('x1', (d, i) => (X(d, i) + DX / 2))
+                    .attr('x2', (d, i) => (X(d, i) + DX / 2))
+                    .style("stroke", getColor)
+                    .style("stroke-dasharray", "2,2");
+
+                g.append('circle')
+                    .attr('cy', d => y(d[1][5]))
+                    .attr('cx', (d, i) => (X(d, i) + DX / 2))
+                    .style("fill", getColor)
+                    .attr("r", 3);
+
+                g.append('rect')
+                    .attr('y', d => y(d[1][3]))
+                    .attr('x', X)
+                    .attr("width", DX)
+                    .attr('height', d => Math.abs(y(d[1][3]) - y(d[1][1])))
+                    .style("stroke", getColor)
+                    .style("fill", 'rgba(0, 0, 0, 0)');
+
+                chart.append('line')
+                    .attr('y1', d => y(tdata[5]))
+                    .attr('y2', d => y(tdata[5]))
+                    .attr('x1', 0)
+                    .attr('x2', width - 50)
+                    .style("stroke", '#f00')
+                    .style("stroke-dasharray", "3,1");
+            }
+
+            render() {
+                const hint = (
+                    'The chart shows distribution of connection acquire ' +
+                    'times to different DBs. Box charts are percentiles: ' +
+                    '1%, 25%, 50%, 75%, 99%; discs show the geometric mean. ' +
+                    'The dashed red line is the geometric mean for all DBs.'
+                );
+
+                return <div className="boxchart" title={hint}>
+                    <svg ref={this.svg}></svg>
+                </div>
+            }
+        }
+
+        function ConnBar({tr, blocks}) {
+            const boxes = [];
+            let totalConns = 0;
+            let bn = 0;
+
+            for (const block of blocks) {
+                let w = ((block.nconns / tr.spec.capacity) * 100).toFixed(2);
+                boxes.push(
+                    <div
+                        key={bn}
+                        style={{
+                            color: tr.getColor(block.dbname),
+                            width: w + '%'
+                        }}
+                        className="connBox"
+                    ></div>
+                );
+                totalConns += block.nconns;
+
+                if (block.npending) {
+                    let w = (
+                        ((block.npending / tr.spec.capacity) * 100).toFixed(2)
+                    );
+                    boxes.push(
+                        <div
+                            key={`${bn}-pending`}
+                            style={{
+                                color: tr.getColor(block.dbname),
+                                width: w + '%'
+                            }}
+                            className="connBox connBoxPending"
+                        ></div>
+                    );
+                    totalConns += block.npending;
+                }
+                bn++;
+            }
+
+            if (totalConns < tr.spec.capacity) {
+                let w = (
+                    (
+                        (tr.spec.capacity - totalConns) / tr.spec.capacity
+                    ) * 100
+                ).toFixed(2);
+
+                boxes.push(
+                    <div
+                        key={bn++}
+                        style={{
+                            color: 'white',
+                            boxShadow: 'inset 0 0 1px #777',
+                            width: w + '%'
+                        }}
+                        className="connBox"
+                    ></div>
+                );
+            }
+
+            const hint = (
+                'Illustrates backend connections distribution. Solid boxes ' +
+                'are established connections; striped are pending new ' +
+                'backend connections.'
+            );
+
+            return <div className="connBoxCnt" title={hint}>{boxes}</div>;
+        }
+
+        function TestLine({tr, runData, line}) {
+            const [collapsed, setCollapsed] = React.useState(true);
+
+            const waiters = [];
+
+            let bn = 0;
+            for (const block of line.blocks) {
+                waiters.push(
+                    <span
+                        className="num"
+                        style={{color: tr.getColor(block.dbname)}}
+                        key={`${bn}-nwaiters`}
+                    >{block.nwaiters}</span>
+                );
+                waiters.push(<>&nbsp;/&nbsp;</>)
+                bn++;
+            }
+
+            waiters.pop();
+
+            const button = collapsed ?
+                <button onClick={() => setCollapsed(false)}>➕</button> :
+                <button onClick={() => setCollapsed(true)}>➖</button>;
+
+            let log = null;
+            if (!collapsed) {
+                let items = [];
+
+                let i = 0;
+                for (const log of line.log) {
+                    const now = (
+                        log.timestamp - runData.test_started_at
+                    );
+                    items.push(
+                        <tr
+                            key={items.length}
+                            style={{color: tr.getColor(log.dbname)}}
+                        >
+                            <td>{now.toFixed(3)}</td>
+                            <td className="num">{log.event}</td>
+                            <td className="num">
+                                {formatNum(log.value)}
+                            </td>
+                        </tr>
+                    )
+                }
+
+                if (items.length) {
+                    log = <tr><td colspan="100">
+                        <div className="details">
+                            <div className="connsLog">
+                                <table>
+                                    {items}
+                                </table>
+                            </div>
+                            <TestClientDetails
+                                data={line} runData={runData} tr={tr} />
+                        </div>
+                    </td></tr>;
+                } else {
+                    log = <tr><td colspan="100">
+                        <div className="details">
+                            <div className="connsLog">
+                                <i>No log data for this tick.</i>
+                            </div>
+                            <TestClientDetails
+                                data={line} runData={runData} tr={tr} />
+                        </div>
+                    </td></tr>;
+                }
+            }
+
+            const now = (
+                line.timestamp - runData.test_started_at
+            );
+
+            return <tbody className="connBoxes">
+                <tr>
+                    <td>{button}</td>
+                    <td>{now.toFixed(3)}</td>
+                    <td>
+                        <ConnBar tr={tr} blocks={line.blocks} />
+                    </td>
+                    <td className="num">{line.capacity}</td>
+                    <td className="smallNum">{waiters}</td>
+                    <td className="smallNum">
+                        {line.successful_connects}{' / '}
+                        {line.successful_disconnects}
+                    </td>
+                </tr>
+                {log}
+            </tbody>
+        }
+
+        function TestClientDetails({data, runData, tr}) {
+            const now = data.timestamp - runData.test_started_at;
+
+            let loadTable = [];
+
+            let i = 0;
+            for (const db of tr.spec.dbs) {
+                if (db.start_at < now && db.end_at > now) {
+                    loadTable.push(
+                        <tr style={{color: tr.getColor(db.db)}}
+                            key={`${i}load`}
+                        >
+                            <td className="num">{db.qps}</td>
+                            <td className="num">{db.query_cost_base
+                                }s&nbsp;&plusmn;{db.query_cost_var}s</td>
+                        </tr>
+                    )
+                }
+            }
+
+            if (loadTable.length) {
+                loadTable = <table>
+                    <tr>
+                        <th>QpS</th>
+                        <th>Query Cost</th>
+                    </tr>
+                    <tbody>{loadTable}</tbody>
+                </table>
+            } else {
+                loadTable = null;
+            }
+
+            return <div className="popup">
+                <h2>Client Load</h2>
+                <div>
+                    {loadTable ?? 'No load.'}
+                </div>
+            </div>
+        }
+
+        function ScoreLine({score, scores}) {
+            const [collapsed, setCollapsed] = React.useState(true);
+
+            const button = collapsed ?
+                <button onClick={() => setCollapsed(false)}>➕</button> :
+                <button onClick={() => setCollapsed(true)}>➖</button>;
+
+            let scoreDetail = null;
+            if (!collapsed) {
+                let items = [];
+                for (const detail of scores) {
+                    items.push(
+                        <tr>
+                            <td>{detail.name}</td>
+                            <td><code>{detail.value}</code></td>
+                            <td><code>{detail.score}</code></td>
+                            <td><code>{detail.weight}</code></td>
+                        </tr>
+                    );
+                }
+
+                scoreDetail = <table>
+                    <tr>
+                        <th>Reason</th>
+                        <th>Value</th>
+                        <th>Score</th>
+                        <th>Weight</th>
+                    </tr>
+                    {items}
+                </table>;
+            }
+
+            return <p>
+                {button} QoS Score:{' '}
+                <code>{score}</code>
+                {scoreDetail}
+            </p>;
+        }
+
+        function TestView({results: tr, collapsible}) {
+            const [collapsed, setCollapsed] = React.useState(collapsible);
+
+            const runs = [];
+            for (const runData of tr.runs) {
+                const lines = [];
+                for (const line of runData.stats) {
+                    lines.push(
+                        <TestLine
+                            key={JSON.stringify(line)}
+                            tr={tr}
+                            runData={runData}
+                            line={line}
+                        />
+                    );
+                }
+
+                runs.push(<div className="testRun" key={runData.pool_name}>
+                    <div className="testHead">
+                        <p>
+                            Pool implementation:{' '}
+                            <code>{runData.pool_name}</code>
+                        </p>
+                        <ScoreLine score={runData.score}
+                                   scores={runData.scores}/>
+
+                        <LatencyChart runData={runData} tr={tr}/>
+                    </div>
+                    <div className={`testServer ${collapsed ? 'hidden' : ''}`}>
+                        <table className="conns">
+                            <tr>
+                                <th width="1%"></th>
+                                <th width="5%">Test Time</th>
+                                <th style={{maxWidth: '250px'}}>
+                                    Allocation of {tr.spec.capacity}{' '}
+                                    Connections</th>
+                                <th width="5%">Conns</th>
+                                <th width="20%">Waiters Avg/3 Ticks</th>
+                                <th width="10%">
+                                    Connects / Disconnects
+                                </th>
+                            </tr>
+
+                            {lines}
+                        </table>
+                    </div>
+                </div>);
+            }
+
+            let desc = null;
+            if (tr.desc) {
+                desc = [];
+                const ds = tr.desc.split('\n\n');
+                for (let i = 0; i < ds.length; i++) {
+                    desc.push(<p key={i}>{ds[i]}</p>);
+                }
+                desc = <div className={collapsed ? 'hidden' : ''}>{desc}</div>;
+            }
+
+            let head = <h1>Simulation: {tr.test_name}</h1>;
+            if (collapsible) {
+                const button = collapsed ?
+                    <button onClick={() => setCollapsed(false)}>➕</button> :
+                    <button onClick={() => setCollapsed(true)}>➖</button>;
+                head = <>{button}{head}</>;
+            }
+            head = <div className="testTopHead">{head}</div>;
+
+            return <div className="testTop">
+                <header>
+                    {head}
+                    <p>
+                        Backend connection cost:{' '}
+                        {tr.spec.conn_cost_base}&nbsp;&plusmn;&nbsp;
+                        {tr.spec.conn_cost_var} (disconnect{': '}
+                        {tr.spec.disconn_cost_base}&nbsp;&plusmn;&nbsp;
+                        {tr.spec.disconn_cost_var})
+                    </p>
+                    {desc}
+                </header>
+                <div className="runs">
+                    {runs}
+                </div>
+            </div>;
+        }
+
+        function AllResults({data}) {
+            const items = [];
+            for (const d of data) {
+                const tr = new TestResults(d);
+                items.push(
+                    <TestView
+                        results={tr} key={tr.test_name}
+                        collapsible={data.length > 1} />
+                );
+            }
+            return <>
+                {items}
+            </>
+        }
+
+        ReactDOM.render(
+            <AllResults data={DATA} />,
+            document.getElementById('root')
+        );
+    </script>
+    </head>
+
+    <body>
+        <div id="root"></div>
+    </body>
+</html>