如何編寫查詢以提取KSQL中的所有字段值以及條件滿足值

Question

使用以下字段創建流

CREATE STREAM pageviews_original_string(view_time string, user_id varchar, pageid varchar) WITH (kafka_topic='pageviews',value_format='DELIMITED',KEY='pageid');

將pageid更改為大寫以及以下值。

create stream up_case AS SELECT UCASE(pageid), user_id FROM PAGEVIEWS_ORIGINAL_STRING where user_id = 'User_9';

結果

PAGE_26 | User_9
PAGE_67 | User_9
PAGE_39 | User_9
PAGE_80 | User_9
PAGE_40 | User_9
PAGE_92 | User_9

現在我想要的是條件滿足數據必須被修改和提取以及類似的剩余字段值

****PAGE_26 | User_9
PAGE_67 | User_9
PAGE_39 | User_9
PAGE_80 | User_9
PAGE_40 | User_9
PAGE_92 | User_9****
Page_66 | User_7
Page_25 | User_2
Page_41 | User_3
Page_34 | User_1
Page_28 | User_2
Page_55 | User_5
Page_77 | User_5
Page_32 | User_8
Page_60 | User_4

你可以幫我解決這個用例嗎？

Answer 1

步驟1：創建流，條件更改user_9的pageid的大寫

create stream step1 AS SELECT UCASE(pageid) AS upcase, user_id FROM PAGEVIEWS_ORIGINAL_STRING where user_id = 'User_9';

步驟2：然后通過排除user_9創建另一個條件流而不更改所有用戶的任何內容

create stream step2 AS select pageid AS upcase, user_id from PAGEVIEWS_ORIGINAL_STRING where user_id != 'User_9';

然后創建另一個合並兩個流的流

ksql> create stream merge_two AS select step1;
insert into merge_two select * from step2;

結果

1544165217141 | 50671 | Page_35 | User_2
1544165217103 | 50661 | Page_10 | User_6
1544165217580 | 50681 | Page_54 | User_2
1544165217699 | 50691 | Page_45 | User_6
1544165218104 | 50701 | Page_20 | User_8
1544165218511 | 50711 | Page_13 | User_2
1544165218931 | 50721 | Page_45 | User_4
1544165219146 | 50731 | Page_68 | User_8
1544165219505 | 50741 | Page_65 | User_4
1544165219713 | 50751 | Page_74 | User_8
1544165219787 | 50761 | Page_30 | User_5
1544165220104 | 50771 | Page_72 | User_2
1544165220421 | 50781 | Page_39 | User_2
1544165220523 | 50791 | Page_55 | User_8
1544165220645 | 50801 | Page_76 | User_6
1544165220818 | 50821 | Page_46 | User_5
1544165220781 | 50811 | Page_60 | User_4
1544165220911 | 50831 | Page_24 | User_4
1544165221102 | 50841 | PAGE_11 | User_9
1544165221377 | 50851 | PAGE_95 | User_9
1544165221685 | 50861 | PAGE_56 | User_9
1544165222164 | 50871 | Page_50 | User_3
1544165222233 | 50881 | Page_12 | User_8
1544165222500 | 50891 | Page_18 | User_3
1544165222913 | 50901 | Page_67 | User_5
1544165223237 | 50911 | Page_30 | User_3
1544165223665 | 50921 | Page_62 | User_8