转自 https://blog.csdn.net/victor_ww/article/details/44415895
create type custom_data_type as ( id int,name varchar(50),score decimal(5,2),create_time timestamp ); create or replace function custom_data_type_demo(p_order_unit_array varchar[],p_goods_array int[]) returns custom_data_type[] as $$ declare v_order_unit_array varchar[] := array[‘a‘,‘b‘,‘c‘]::varchar[]; v_goods_array int[] := array[60.56,82.12,95.32]::int[]; v_tmp_result custom_data_type; v_result_array custom_data_type[]; v_index int := 0; v_order varchar(100); v_goods int; begin if p_order_unit_array is not null then v_order_unit_array := p_order_unit_array; end if; if p_goods_array is not null then v_goods_array := p_goods_array; end if; raise notice ‘-------1---------‘; <<order_label>> foreach v_order in array v_order_unit_array loop <<goods_label>> foreach v_goods in array v_goods_array loop v_tmp_result.id = v_index*round(random()*10); v_tmp_result.name = v_order; v_tmp_result.score = v_goods; v_tmp_result.create_time = current_timestamp; raise notice ‘-------goods_label---------‘; end loop goods_label; raise notice ‘-------order_label---------v_index‘; v_result_array[v_index] = v_tmp_result; v_index := v_index + 1; end loop order_label; raise notice ‘-------2---------‘; return v_result_array; exception when others then raise exception ‘error happen(%)‘,sqlerrm; end; $$ language plpgsql; select custom_data_type_demo(null,null); exampledb=> select custom_data_type_demo(null,null); custom_data_type_demo --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- [0:3]={"(0,a,95.00,\"2018-10-31 17:43:53.836608\")","(1,b,"(2,c,"(3,d,\"2018-10-31 17:43:53.836608\")"} (1 row)
解析数组,可用于不定参数时,可使用传数组的方式,类似于sql Server 的Xml;
exampledb=> select T from unnest(custom_data_type_demo(null,null)) as T; t ------------------------------------------ (0,"2018-10-31 17:35:40.881777") (1,"2018-10-31 17:35:40.881777") (2,"2018-10-31 17:35:40.881777") (3,"2018-10-31 17:35:40.881777") (4 rows) exampledb=> select T.id,T.name,T.score,T.create_time from unnest(custom_data_type_demo(null,null)) as T; id | name | score | create_time ----+------+-------+---------------------------- 0 | a | 95.00 | 2018-10-31 17:40:25.939054 1 | b | 95.00 | 2018-10-31 17:40:25.939054 2 | c | 95.00 | 2018-10-31 17:40:25.939054 3 | d | 95.00 | 2018-10-31 17:40:25.939054 (4 rows)
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