The best solution would be to drop types and VARRAYs and store everything in plain tables.
If that's not an option you can significantly improve performance by wrapping the VARRAY in an object type and access elements through member functions. That approach is several times faster than pivoting results from a VARRAY.
The code below is a bit painful, but it's a fully functioning test of 20 columns with 100,000 sample rows.
Sample Schema with VARRAY
CREATE TYPE point_t AS object(
x number(6,0),
y number(6,0)
);
-- Graph can contain up to 20 points, no more
CREATE TYPE graph_t AS VARRAY(20) OF point_t;
-- Customer graphs
create table customer_graphs (customer_id number(9,0), graph graph_t);
--100K rows, 5.2 seconds.
begin
for i in 1 .. 100000 loop
insert into customer_graphs values(i, graph_t(point_t(1,1),point_t(2,2),point_t(3,3),point_t(4,4),point_t(5,5),point_t(6,6),point_t(7,7),point_t(8,8),point_t(9,9),point_t(10,10),point_t(11,11),point_t(12,12),point_t(13,13),point_t(14,14),point_t(15,15),point_t(16,16),point_t(17,17),point_t(18,18),point_t(19,19),point_t(20,20)));
end loop;
commit;
end;
/
begin
dbms_stats.gather_table_stats(user, 'CUSTOMER_GRAPHS');
end;
/
Sample Schema with Object Containing VARRAY
--Create type to store and access graph and X and Y elements.
create or replace type graph_obj as object
(
graph graph_t,
member function x(p_index number) return number,
member function y(p_index number) return number
);
create or replace type body graph_obj is
member function x(p_index number) return number is
begin
return graph(p_index).x;
end;
member function y(p_index number) return number is
begin
return graph(p_index).y;
end;
end;
/
-- Customer graphs 2
create table customer_graphs2(customer_id number(9,0), graph graph_obj);
--100K rows, 5.54 seconds.
begin
for i in 1 .. 100000 loop
insert into customer_graphs2 values(i, graph_obj(graph_t(point_t(1,1),point_t(2,2),point_t(3,3),point_t(4,4),point_t(5,5),point_t(6,6),point_t(7,7),point_t(8,8),point_t(9,9),point_t(10,10),point_t(11,11),point_t(12,12),point_t(13,13),point_t(14,14),point_t(15,15),point_t(16,16),point_t(17,17),point_t(18,18),point_t(19,19),point_t(20,20))));
end loop;
commit;
end;
/
begin
dbms_stats.gather_table_stats(user, 'CUSTOMER_GRAPHS2');
end;
/
VARRAY PIVOT Performance
First N rows - 4.5 seconds.
select customer_id,
max(CASE rn WHEN 1 THEN x END) x_1, max(CASE rn WHEN 1 THEN y END) y_1, max(CASE rn WHEN 2 THEN x END) x_2, max(CASE rn WHEN 2 THEN y END) y_2, max(CASE rn WHEN 3 THEN x END) x_3, max(CASE rn WHEN 3 THEN y END) y_3, max(CASE rn WHEN 4 THEN x END) x_4, max(CASE rn WHEN 4 THEN y END) y_4, max(CASE rn WHEN 5 THEN x END) x_5, max(CASE rn WHEN 5 THEN y END) y_5, max(CASE rn WHEN 6 THEN x END) x_6, max(CASE rn WHEN 6 THEN y END) y_6, max(CASE rn WHEN 7 THEN x END) x_7, max(CASE rn WHEN 7 THEN y END) y_7, max(CASE rn WHEN 8 THEN x END) x_8, max(CASE rn WHEN 8 THEN y END) y_8, max(CASE rn WHEN 9 THEN x END) x_9, max(CASE rn WHEN 9 THEN y END) y_9, max(CASE rn WHEN 10 THEN x END) x_10, max(CASE rn WHEN 10 THEN y END) y_10, max(CASE rn WHEN 11 THEN x END) x_11, max(CASE rn WHEN 11 THEN y END) y_11, max(CASE rn WHEN 12 THEN x END) x_12, max(CASE rn WHEN 12 THEN y END) y_12, max(CASE rn WHEN 13 THEN x END) x_13, max(CASE rn WHEN 13 THEN y END) y_13, max(CASE rn WHEN 14 THEN x END) x_14, max(CASE rn WHEN 14 THEN y END) y_14, max(CASE rn WHEN 15 THEN x END) x_15, max(CASE rn WHEN 15 THEN y END) y_15, max(CASE rn WHEN 16 THEN x END) x_16, max(CASE rn WHEN 16 THEN y END) y_16, max(CASE rn WHEN 17 THEN x END) x_17, max(CASE rn WHEN 17 THEN y END) y_17, max(CASE rn WHEN 18 THEN x END) x_18, max(CASE rn WHEN 18 THEN y END) y_18, max(CASE rn WHEN 19 THEN x END) x_19, max(CASE rn WHEN 19 THEN y END) y_19, max(CASE rn WHEN 20 THEN x END) x_20, max(CASE rn WHEN 20 THEN y END) y_20
from (
select cg.customer_id, g.*, row_number() over(partition by cg.customer_id order by g.x) rn
from
customer_graphs cg,
TABLE(cg.graph) g
)
group by customer_id;
All rows - 17 seconds
select sum(x_1) x
from
(
select customer_id,
max(CASE rn WHEN 1 THEN x END) x_1, max(CASE rn WHEN 1 THEN y END) y_1, max(CASE rn WHEN 2 THEN x END) x_2, max(CASE rn WHEN 2 THEN y END) y_2, max(CASE rn WHEN 3 THEN x END) x_3, max(CASE rn WHEN 3 THEN y END) y_3, max(CASE rn WHEN 4 THEN x END) x_4, max(CASE rn WHEN 4 THEN y END) y_4, max(CASE rn WHEN 5 THEN x END) x_5, max(CASE rn WHEN 5 THEN y END) y_5, max(CASE rn WHEN 6 THEN x END) x_6, max(CASE rn WHEN 6 THEN y END) y_6, max(CASE rn WHEN 7 THEN x END) x_7, max(CASE rn WHEN 7 THEN y END) y_7, max(CASE rn WHEN 8 THEN x END) x_8, max(CASE rn WHEN 8 THEN y END) y_8, max(CASE rn WHEN 9 THEN x END) x_9, max(CASE rn WHEN 9 THEN y END) y_9, max(CASE rn WHEN 10 THEN x END) x_10, max(CASE rn WHEN 10 THEN y END) y_10, max(CASE rn WHEN 11 THEN x END) x_11, max(CASE rn WHEN 11 THEN y END) y_11, max(CASE rn WHEN 12 THEN x END) x_12, max(CASE rn WHEN 12 THEN y END) y_12, max(CASE rn WHEN 13 THEN x END) x_13, max(CASE rn WHEN 13 THEN y END) y_13, max(CASE rn WHEN 14 THEN x END) x_14, max(CASE rn WHEN 14 THEN y END) y_14, max(CASE rn WHEN 15 THEN x END) x_15, max(CASE rn WHEN 15 THEN y END) y_15, max(CASE rn WHEN 16 THEN x END) x_16, max(CASE rn WHEN 16 THEN y END) y_16, max(CASE rn WHEN 17 THEN x END) x_17, max(CASE rn WHEN 17 THEN y END) y_17, max(CASE rn WHEN 18 THEN x END) x_18, max(CASE rn WHEN 18 THEN y END) y_18, max(CASE rn WHEN 19 THEN x END) x_19, max(CASE rn WHEN 19 THEN y END) y_19, max(CASE rn WHEN 20 THEN x END) x_20, max(CASE rn WHEN 20 THEN y END) y_20
from (
select cg.customer_id, g.*, row_number() over(partition by cg.customer_id order by g.x) rn
from
customer_graphs cg,
TABLE(cg.graph) g
)
group by customer_id
);
Object Performance
First N rows - 0.4 seconds
select cg.customer_id, cg.graph.x(1) x_1, cg.graph.y(1) y_1, cg.graph.x(2) x_2, cg.graph.y(2) y_2, cg.graph.x(3) x_3, cg.graph.y(3) y_3, cg.graph.x(4) x_4, cg.graph.y(4) y_4, cg.graph.x(5) x_5, cg.graph.y(5) y_5, cg.graph.x(6) x_6, cg.graph.y(6) y_6, cg.graph.x(7) x_7, cg.graph.y(7) y_7, cg.graph.x(8) x_8, cg.graph.y(8) y_8, cg.graph.x(9) x_9, cg.graph.y(9) y_9, cg.graph.x(10) x_10, cg.graph.y(10) y_10, cg.graph.x(11) x_11, cg.graph.y(11) y_11, cg.graph.x(12) x_12, cg.graph.y(12) y_12, cg.graph.x(13) x_13, cg.graph.y(13) y_13, cg.graph.x(14) x_14, cg.graph.y(14) y_14, cg.graph.x(15) x_15, cg.graph.y(15) y_15, cg.graph.x(16) x_16, cg.graph.y(16) y_16, cg.graph.x(17) x_17, cg.graph.y(17) y_17, cg.graph.x(18) x_18, cg.graph.y(18) y_18, cg.graph.x(19) x_19, cg.graph.y(19) y_19, cg.graph.x(20) x_20, cg.graph.y(20) y_20
from customer_graphs2 cg;
All rows - 2.5 seconds
select sum(x_1)
from
(
select cg.customer_id, cg.graph.x(1) x_1, cg.graph.y(1) y_1, cg.graph.x(2) x_2, cg.graph.y(2) y_2, cg.graph.x(3) x_3, cg.graph.y(3) y_3, cg.graph.x(4) x_4, cg.graph.y(4) y_4, cg.graph.x(5) x_5, cg.graph.y(5) y_5, cg.graph.x(6) x_6, cg.graph.y(6) y_6, cg.graph.x(7) x_7, cg.graph.y(7) y_7, cg.graph.x(8) x_8, cg.graph.y(8) y_8, cg.graph.x(9) x_9, cg.graph.y(9) y_9, cg.graph.x(10) x_10, cg.graph.y(10) y_10, cg.graph.x(11) x_11, cg.graph.y(11) y_11, cg.graph.x(12) x_12, cg.graph.y(12) y_12, cg.graph.x(13) x_13, cg.graph.y(13) y_13, cg.graph.x(14) x_14, cg.graph.y(14) y_14, cg.graph.x(15) x_15, cg.graph.y(15) y_15, cg.graph.x(16) x_16, cg.graph.y(16) y_16, cg.graph.x(17) x_17, cg.graph.y(17) y_17, cg.graph.x(18) x_18, cg.graph.y(18) y_18, cg.graph.x(19) x_19, cg.graph.y(19) y_19, cg.graph.x(20) x_20, cg.graph.y(20) y_20
from customer_graphs2 cg
);