生成行并插入表中

时间:2017-02-07 06:45:10

标签: sql postgresql

我跟随表

CREATE TABLE public.af01
(
  id integer NOT NULL DEFAULT nextval('af01_id_seq'::regclass),
  idate timestamp without time zone,
  region text,
  city text,
  vtype text,
  vmake text,
  vmodel text,
  vregno text,
  intime time without time zone,
  otime time without time zone,
  vstatus boolean,
  remarks text,
  vowner text
);

我需要在其中添加数据。此数据应为1年(从01-01-201631-12-2016的数据)。在一个日期中可以有5个条目,
 Region列必须包含3个值(Central,Western,Eastern),
 City列必须包含3个值(City1City2City3
 vtype列是车辆类型,例如Heavy,light,Other  vmake列是制造商Audi,Nissan,Toyota,Hyundai,GMC等  vregno此列适用于vechicle注册号,它应该是唯一的(Ex.reg no CFB 4587)。
 intime任何一天中的随机时间('上午10:15和#39;)。
otime此列应为intime + 5或10或15或20。vstatus列应为Truefalse

我最终使用此选择查询来生成日期行

select '2013-01-01'::date + (n || ' days')::interval days
  from generate_series(0, 365) n;

生成Vehicle regno的第一部分。

   SELECT substring(string_agg (substr('ABCDEFGHIJKLMNOPQRSTUVWXYZ', ceil (random() * 62)::integer, 1), ''),1,3) t
    FROM   generate_series(0,45);

预期产出;

id idate      region  city  vtype          vmake  vmodel vregno   intime              otime               vstatus remarks vowner 
-- ---------- ------- ----- -------------- ------ ------ -------- ------------------- ------------------- ------- ------- ------ 
1  2016-01-01 Central City1 Heavy Vechicle Nissan Model1 NGV 4578 12:15:00  12:30:00 1       NULL    Tom    
2  2016-01-01 Western City1 Light          Audi   S3     BFR 4587 10:20:00 10:40:00 1       NULL    Jerry  

1 个答案:

答案 0 :(得分:2)

r_dates relation只是在范围内生成日期的简单方法。

other_const和max_const分别是数组及其长度。 region [(random()* region_max):: int2 + 1] - 通过随机选择数组中的元素

INSERT INTO af01 (idate, region, city, vtype, vmake, vregno, intime, otime, vstatus) 
SELECT cd, r, c, v, vm, rn, intime, intime + len as otime, status
FROM (
      WITH r_dates AS (
           SELECT generate_series('2013-01-01'::date, '2013-12-31'::date, '1 day'::interval) as cd
      ), other_const AS  (
           SELECT '{Central,Western,Eastern}'::text[] AS region,
                  '{City1,City2,City3}'::text[] as cities,
                  '{Heavy,light,Other}'::text[] as vehicles,
                  '{Audi,Nissan,Toyota,Hyundai,GMC}'::text[] as vmakes,
                  '{5,10,15,20}'::int4[] AS lengths,
                  'ABCDEFGHIJKLMNOPQRSTUVWXYZ'::text AS regnosrc
      ), max_const AS  (
           SELECT array_upper(region, 1) - 1 AS region_max,
                  array_upper(cities, 1) - 1 AS cities_max,
                  array_upper(vehicles, 1) - 1 AS vehicles_max,
                  array_upper(vmakes, 1) - 1 AS vmakes_max,
                  array_upper(lengths, 1) - 1 AS lengths_max
        FROM other_const
      ) 
      SELECT cd,
             region[(random() * region_max)::int2 + 1] AS r,
             cities[(random() * cities_max)::int2 + 1] AS c,
             vehicles[(random() * vehicles_max)::int2 + 1] AS v,
             vmakes[(random() * vmakes_max)::int2 + 1] AS vm,
             (
                 SELECT string_agg(s, '')
                   FROM (
                         SELECT substr(regnosrc, (random() * (length(regnosrc) - 1))::int4 + 1, 1) AS s
                           FROM generate_series(1, 3)
                       ) AS a
               )
                  || lpad(((random() * 9999)::int8)::text, 4, '0') AS rn,
              '00:00:00'::time + (((random() * 24 * 60)::int8)::text || 'min')::interval AS intime,
              ((lengths[(random() * lengths_max)::int2 + 1])::text || 'min')::interval AS len,
              random() > 0.5 AS status
         FROM r_dates, other_const, max_const, generate_series(1, 5)
   ) AS A
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