我有一张包含客户发票数据的表格。我试图通过创建一个结转计数器来查找客户发票上特定交易类型的数量。如果交易不再存在，则计数器应重置为零。
表：
app.config(['$routeProvider',function($routeProvider){
$routeProvider
.when('/loginPage', {title:'Feedback',templateUrl:'loginPage.html',controller:'loginPageController'})
.otherwise({title:'Feedback', templateUrl:'loginPage.html'});
}])
我想要实现的目标：
app.service('assimilationSurveyService',function(){
return{
// For Getting expense list
sendLoginData: function(loginData) {
var sendLoginData = {
url: 'http://172.16.34.245:8080/Survey/user/login',
method: 'POST',
data: loginData,
headers: {
'Content-Type': 'application/json'
}
};
return $http(sendLoginData);
},
}
});
我假设我可以使用分析函数/ Oracle cte？
谢谢！
添加
transaction_count = 0时，具有重置的transaction_count的累计和。
+------------+-------------+----------------+----------+
| Invoice_Id | Customer_id | Transaction_id | Sequence |
+------------+-------------+----------------+----------+
| 253442 | 23334 | | 1 |
| 253443 | 23334 | | 2 |
| 253444 | 23334 | | 3 |
| 253445 | 23334 | | 4 |
| 1050646 | 23334 | | 5 |
| 8457065 | 23334 | | 6 |
| 9052920 | 23334 | | 7 |
| 9333044 | 23334 | | 8 |
| 9616743 | 23334 | | 9 |
| 9894491 | 23334 | | 10 |
| 10186697 | 23334 | | 11 |
| 10490938 | 23334 | | 12 |
| 10803986 | 23334 | 69709477 | 13 |
| 11132317 | 23334 | 72103163 | 14 |
| 11444923 | 23334 | | 15 |
+------------+-------------+----------------+----------+
答案 0 :(得分：1)
假设我正确理解了您的要求，这是一种方法，它使用Tabibitosan method基于onsecutive null / not-null transaction_ids对数据进行“分组”。一旦我们获得了这些信息，我们就可以根据transaction_id是否为null来执行条件row_number（）。
WITH sample_data AS (SELECT 253442 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 1 seq FROM dual UNION ALL
SELECT 253443 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 2 seq FROM dual UNION ALL
SELECT 253444 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 3 seq FROM dual UNION ALL
SELECT 253445 Invoice_Id, 23334 Customer_id, 123 Transaction_id, 4 seq FROM dual UNION ALL
SELECT 1050646 Invoice_Id, 23334 Customer_id, 456 Transaction_id, 5 seq FROM dual UNION ALL
SELECT 8457065 Invoice_Id, 23334 Customer_id, 789 Transaction_id, 6 seq FROM dual UNION ALL
SELECT 9052920 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 7 seq FROM dual UNION ALL
SELECT 9333044 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 8 seq FROM dual UNION ALL
SELECT 9616743 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 9 seq FROM dual UNION ALL
SELECT 9894491 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 10 seq FROM dual UNION ALL
SELECT 10186697 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 11 seq FROM dual UNION ALL
SELECT 10490938 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 12 seq FROM dual UNION ALL
SELECT 10803986 Invoice_Id, 23334 Customer_id, 69709477 Transaction_id, 13 seq FROM dual UNION ALL
SELECT 11132317 Invoice_Id, 23334 Customer_id, 72103163 Transaction_id, 14 seq FROM dual UNION ALL
SELECT 11444923 Invoice_Id, 23334 Customer_id, NULL Transaction_id, 15 seq FROM dual)
-- end of mimicking your data in a "table" called sample_data
-- you wouldn't need this - you'd just select from your table directly in the sql below:
SELECT invoice_id,
customer_id,
transaction_id,
seq,
CASE WHEN transaction_id is not NULL THEN
row_number() OVER (PARTITION BY customer_id, grp ORDER BY seq)
ELSE 0
END carryover
FROM (SELECT invoice_id,
customer_id,
transaction_id,
seq,
row_number() OVER (PARTITION BY customer_id ORDER BY seq)
- row_number() OVER (PARTITION BY customer_id, CASE WHEN transaction_id IS NULL THEN 0 ELSE 1 END ORDER BY seq) grp
FROM sample_data)
ORDER BY customer_id, seq;
INVOICE_ID CUSTOMER_ID TRANSACTION_ID SEQ CARRYOVER
---------- ----------- -------------- ---------- ----------
253442 23334 1 0
253443 23334 2 0
253444 23334 3 0
253445 23334 123 4 1
1050646 23334 456 5 2
8457065 23334 789 6 3
9052920 23334 7 0
9333044 23334 8 0
9616743 23334 9 0
9894491 23334 10 0
10186697 23334 11 0
10490938 23334 12 0
10803986 23334 69709477 13 1
11132317 23334 72103163 14 2
11444923 23334 15 0
有关额外要求：
WITH sample_data AS (SELECT 253442 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 1 seq FROM dual UNION ALL
SELECT 253443 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 2 seq FROM dual UNION ALL
SELECT 253444 Invoice_Id, 23334 Customer_id, 1 Transaction_Count, 3 seq FROM dual UNION ALL
SELECT 253445 Invoice_Id, 23334 Customer_id, 1 Transaction_Count, 4 seq FROM dual UNION ALL
SELECT 1050646 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 5 seq FROM dual UNION ALL
SELECT 8457065 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 6 seq FROM dual UNION ALL
SELECT 9052920 Invoice_Id, 23334 Customer_id, 2 Transaction_Count, 7 seq FROM dual UNION ALL
SELECT 9333044 Invoice_Id, 23334 Customer_id, 1 Transaction_Count, 8 seq FROM dual UNION ALL
SELECT 9616743 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 9 seq FROM dual UNION ALL
SELECT 9894491 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 10 seq FROM dual UNION ALL
SELECT 10186697 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 11 seq FROM dual UNION ALL
SELECT 10490938 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 12 seq FROM dual UNION ALL
SELECT 10803986 Invoice_Id, 23334 Customer_id, 1 Transaction_Count, 13 seq FROM dual UNION ALL
SELECT 11132317 Invoice_Id, 23334 Customer_id, 1 Transaction_Count, 14 seq FROM dual UNION ALL
SELECT 11444923 Invoice_Id, 23334 Customer_id, 0 Transaction_Count, 15 seq FROM dual)
-- end of mimicking your data in a "table" called sample_data
-- you wouldn't need this - you'd just select from your table directly in the sql below:
SELECT invoice_id,
customer_id,
Transaction_Count,
seq,
SUM(transaction_count) OVER (PARTITION BY customer_id,
CASE WHEN Transaction_Count = 0 THEN 0 ELSE 1 END,
grp
ORDER BY seq) carryover
FROM (SELECT invoice_id,
customer_id,
Transaction_Count,
seq,
row_number() OVER (PARTITION BY customer_id
ORDER BY seq)
- row_number() OVER (PARTITION BY customer_id,
CASE WHEN Transaction_Count = 0 THEN 0 ELSE 1 END
ORDER BY seq) grp
FROM sample_data)
ORDER BY customer_id, seq;
INVOICE_ID CUSTOMER_ID TRANSACTION_COUNT SEQ CARRYOVER
---------- ----------- ----------------- ---------- ----------
253442 23334 0 1 0
253443 23334 0 2 0
253444 23334 1 3 1
253445 23334 1 4 2
1050646 23334 0 5 0
8457065 23334 0 6 0
9052920 23334 2 7 2
9333044 23334 1 8 3
9616743 23334 0 9 0
9894491 23334 0 10 0
10186697 23334 0 11 0
10490938 23334 0 12 0
10803986 23334 1 13 1
11132317 23334 1 14 2
11444923 23334 0 15 0
它使用与原始解决方案非常相似的概念，除了将零或非零transaction_count的检查添加到最终sum（）分析函数的partition by子句中，我们不再需要case语句来输出0或者总和。
希望你能说出我必须做出的调整 - 基本上，对transaction_id的检查为null / not null必须更改为transaction_count = 0 /！= 0，加上row_number()更改为{{ 1}}加上上面对partition by子句的更改。我敢肯定你是否已经考虑过这个问题，如果你还没有，你会得出同样的结论！ * {： - ）