add benchmark queries

benchmark/quries/Timescaledb/q0

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+-- select rows
+CREATE TABLE res0 AS 
+SELECT * FROM trade10m;

benchmark/quries/Timescaledb/q1

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+-- groupby_multi_different_functions
+SELECT avg(quantity), min(price)
+FROM trade10m
+GROUP BY stocksymbol, time;

benchmark/quries/Timescaledb/q10

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+select
+    stocksymbol,
+    max(stddev(price)) over
+        (partition by stocksymbol rows between 2 preceding AND CURRENT row) as maxRollingStd
+from 
+(SELECT * FROM trade01m ORDER BY time) as t
+GROUP BY stocksymbol;

benchmark/quries/Timescaledb/q2

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+-- count values
+SELECT COUNT(*) FROM trade10m;

benchmark/quries/Timescaledb/q3

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+-- group by multiple keys
+SELECT sum(quantity)
+FROM trade10m
+GROUP BY stocksymbol, price;

benchmark/quries/Timescaledb/q4

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+-- append tables
+SELECT * FROM trade10m UNION ALL SELECT * FROM trade10m;

benchmark/quries/Timescaledb/q7

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+select
+    stocksymbol,
+    coalesce(avg(price) over
+        (partition by stocksymbol order by time rows between 4 preceding AND CURRENT row), price) as rollingAvg
+from trade10m;

benchmark/quries/Timescaledb/q8

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+SELECT stocksymbol, quantity, price
+FROM trade01m
+WHERE time >= 5288 and time <= 7000

benchmark/quries/Timescaledb/q9

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+SELECT stocksymbol, MAX(price) - MIN(price)
+FROM trade01m
+GROUP BY stocksymbol;