这是Redshift答案,它将与每行多达1万个细分ID值一起使用。
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');
代码
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generate_numbers)用于生成许多行,这是必需的,因为不支持generate_series
下一步(拆分器)仅占用等于定界符最大数量+1(即段的最大数量)的行数
最后,我们将输入数据与交叉分割器交叉,使用split_part获取相关值,然后排除空白部分(这是因为该行的行数小于最大段数)
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