BenchmarkResultViews - ConstantB/ontop-spatial GitHub Wiki
Six views are used to populate the measures used in the result analysis (see table below).
| Number of concept | Number of join | Number of tuple | Number of constant | |
|---|---|---|---|---|
| View 1 | × | × | • | • |
| View 2 | × | • | × | • |
| View 3 | • | × | × | • |
| View 4 | × | • | • | • |
| View 5 | • | × | • | × |
| View 6 | • | • | × | × |
Legend: • = A variable value, × = A fixed value
Each view corresponds to a specific database system (e.g., MySQL) and the experiment type (e.g., universal-semantic benchmark) by filtering based on the test_id. To construct the different views from the table, users can follow these guidelines:
- For the fixed values, assign them as the filtering criteria in the WHERE clause.
- For the variable values, assign them as the grouping criteria in the GROUP BY clause.
In the highlighted row, the test configuration consists of a vector of joins of 2, 4 and 6; and a vector of concepts of 1, 3 and 5. If both parameters are the fixed values (i.e., View 1) then in order to have the full coverage of the benchmark results, users have to change the filtering criteria manually using the combination of both, e.g., [1, 2], [1, 4], [1, 6] and so on.
select expansion_id, database.tuples, database.constants, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
result.concepts = 1 and
result.joins = 4
group by database.tuples, database.constants, expansion_id
order by database.tuples, database.constants
select expansion_id, result.joins, database.constants, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
result.concepts = 1 and
database.tuples = 10000
group by result.joins, database.constants, expansion_id
order by result.joins, database.constants
select expansion_id, result.concepts, database.constants, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
result.joins = 2 and
database.tuples = 10000
group by result.concepts, database.constants, expansion_id
order by result.concepts, database.constants
select expansion_id, result.joins, database.tuples, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
result.concepts = 1 and
database.constants = 2500
group by result.joins, database.tuples, expansion_id
order by result.joins, database.tuples
select expansion_id, result.concepts, database.tuples, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
result.joins = 2 and
database.constants = 2500
group by result.concepts, database.tuples, expansion_id
order by result.concepts, database.tuples
select expansion_id, result.concepts, result.joins, avg(execution_time) as average_time, stddev(execution_time) as std_deviation
from result left join database on database.db_id = result.db_id
where test_id = 20110318093451 and
database.tuples = 10000 and
database.constants = 2500
group by result.concepts, result.joins, expansion_id
order by result.concepts, result.joins