使用如下表格:
uid | segmentids
-------------------------+----------------------------------------
f9b6d54b-c646-4bbb-b0ec | 4454918|4455158|4455638|4455878|4455998
asd7a0s9-c646-asd7-b0ec | 1265899|1265923|1265935|1266826|1266596
gd3355ff-cjr8-assa-fke0 | 2237557|2237581|2237593
laksnfo3-kgi5-fke0-b0ec | 4454918|4455158|4455638|4455878
如何使用以下方法创建新表:
uid | segmentids
-------------------------+---------------------------
f9b6d54b-c646-4bbb-b0ec | 4454918
f9b6d54b-c646-4bbb-b0ec | 1265899
f9b6d54b-c646-4bbb-b0ec | 2237557
f9b6d54b-c646-4bbb-b0ec | 4454918
f9b6d54b-c646-4bbb-b0ec | 4454918
asd7a0s9-c646-asd7-b0ec | 1265899
asd7a0s9-c646-asd7-b0ec | 1265923
asd7a0s9-c646-asd7-b0ec | 1265935
asd7a0s9-c646-asd7-b0ec | 1266826
asd7a0s9-c646-asd7-b0ec | 1266596
段数是动态的,可以随每条记录而变化。 我尝试使用带分隔符的Split函数,但它需要string中的索引,这里是动态的。
有什么建议吗?
答案 0 :(得分:6)
这是Redshift的答案,每行最多可以处理1万个段ID值。
测试数据
create table test_split (uid varchar(50),segmentids varchar(max));
insert into test_split
values
('f9b6d54b-c646-4bbb-b0ec','4454918|4455158|4455638|4455878|4455998'),
('asd7a0s9-c646-asd7-b0ec','1265899|1265923|1265935|1266826|1266596'),
('asd7345s9-c646-asd7-b0ec','1235935|1263456|1265675696'),
('as345a0s9-c646-asd7-b0ec','12765899|12658883|12777935|144466826|1266226|12345')
;
码
with ten_numbers as (select 1 as num union select 2 union select 3 union select 4 union select 5 union select 6 union select 7 union select 8 union select 9 union select 0)
, generted_numbers AS
(
SELECT (1000 * t1.num) + (100 * t2.num) + (10 * t3.num) + t4.num AS gen_num
FROM ten_numbers AS t1
JOIN ten_numbers AS t2 ON 1 = 1
JOIN ten_numbers AS t3 ON 1 = 1
JOIN ten_numbers AS t4 ON 1 = 1
)
, splitter AS
(
SELECT *
FROM generted_numbers
WHERE gen_num BETWEEN 1 AND (SELECT max(REGEXP_COUNT(segmentids, '\\|') + 1)
FROM test_split)
)
--select * from splitter;
, expanded_input AS
(
SELECT
uid,
split_part(segmentids, '|', s.gen_num) AS segment
FROM test_split AS ts
JOIN splitter AS s ON 1 = 1
WHERE split_part(segmentids, '|', s.gen_num) <> ''
)
SELECT * FROM expanded_input;
前两个cte步骤(ten_numbers和generated_numbers)用于生成多个行,这是必需的,因为不支持generate_series
下一步(拆分器)只需要多行等于最大分隔符数+ 1(这是最大段数)
最后,我们使用输入数据交叉连接拆分器,使用split_part获取相关值,然后排除空白部分(导致行具有&lt;最大段数)