使用通配符计算案例表达式

Question

假设我有这个查询：

SELECT
(CASE
  WHEN troublequeue LIKE '%DL%' THEN 'Distribution Line Crew'
  WHEN troublequeue LIKE '%MS%' THEN 'Service Crew' 
  WHEN troublequeue LIKE '%TM%' THEN 'Troubleman'
  WHEN troublequeue LIKE '%TT%' THEN 'Tree Crew'
  WHEN troublequeue LIKE '%POLE%' THEN 'Pole Job'
  WHEN troublequeue LIKE '%XFMR%' THEN 'Xfmr Job'
  WHEN troublequeue LIKE '%TOC%' THEN 'Tennesee One Call'
  ELSE 'Other' END) as HeldJobType, 
COUNT(eventid)
FROM
  electric_jobs
WHERE
  BeginDateTime BETWEEN TO_DATE('<{[begin_date]}>', 'MM/DD/YYYY') AND TO_DATE('<{[end_date]}>', 'MM/DD/YYYY')
  AND troublequeue IS NOT NULL
GROUP BY
(CASE
  WHEN troublequeue LIKE '%DL%' THEN 'Distribution Line Crew'
  WHEN troublequeue LIKE '%MS%' THEN 'Service Crew' 
  WHEN troublequeue LIKE '%TM%' THEN 'Troubleman'
  WHEN troublequeue LIKE '%TT%' THEN 'Tree Crew'
  WHEN troublequeue LIKE '%POLE%' THEN 'Pole Job'
  WHEN troublequeue LIKE '%XFMR%' THEN 'Xfmr Job'
  WHEN troublequeue LIKE '%TOC%' THEN 'Tennesee One Call'
  ELSE 'Other' END)
ORDER BY
(CASE
  WHEN troublequeue LIKE '%DL%' THEN 'Distribution Line Crew'
  WHEN troublequeue LIKE '%MS%' THEN 'Service Crew' 
  WHEN troublequeue LIKE '%TM%' THEN 'Troubleman'
  WHEN troublequeue LIKE '%TT%' THEN 'Tree Crew'
  WHEN troublequeue LIKE '%POLE%' THEN 'Pole Job'
  WHEN troublequeue LIKE '%XFMR%' THEN 'Xfmr Job'
  WHEN troublequeue LIKE '%TOC%' THEN 'Tennesee One Call'
  ELSE 'Other' END)

但是当我运行查询时，所有具有多个输入的字段都作为 DL 返回。即使在一个字段中有多个输入，我怎样才能让 SQL 每次出现这些情况时都给我一个计数？当有一个带有逗号和多个输入的字段时，问题就来了。

样本数据示例是

Troublequeue <- column name
1 TM
2 DL
3 DL
4 DL
5 AMI/STPR
6 PM
7 PM,CR
8 DL
9 TM
10 AMI/STPR
11 TM
12 AMI/STPR
13 AMI/STPR
14 PM
15 AMI/STPR
16 PM
17 MS
18 TOCY, TCN, TT, DL, POLE

Answer 1

如果我没理解错的话，你想要count(distinct):

count(distinct troublequeue)

这将 return 每行的不同值的数量。

您可能还想要：

min(troublequeue), max(troublequeue)

获取值示例。

请注意，许多数据库允许您使用：

group by HeldJobType

所有数据库都应允许：

order by HeldJobType;

Answer 2

您可以使用：

WITH trouble_ids ( id, HeldJobType ) AS (
  SELECT 'DL', 'Distribution Line Crew' FROM DUAL UNION ALL
  SELECT 'MS', 'Service Crew' FROM DUAL UNION ALL
  SELECT 'TM', 'Troubleman' FROM DUAL UNION ALL
  SELECT 'TT', 'Tree Crew' FROM DUAL UNION ALL
  SELECT 'POLE', 'Pole Job' FROM DUAL UNION ALL
  SELECT 'XFMR', 'Xfmr Job' FROM DUAL UNION ALL
  SELECT 'TOC', 'Tennesee One Call' FROM DUAL
),
job_ids ( event_id, troublequeue, job_id, lvl, max_lvl ) AS (
  SELECT event_id,
         troublequeue,
         REGEXP_SUBSTR( troublequeue, '[A-Z]+', 1, 1, 'i' ),
         1,
         REGEXP_COUNT( troublequeue, '[A-Z]+', 1, 'i' )
  FROM   electric_jobs
  WHERE  BeginDateTime BETWEEN DATE '2021-01-01' AND DATE '2021-02-01'
UNION ALL
  SELECT event_id,
         troublequeue,
         REGEXP_SUBSTR( troublequeue, '[A-Z]+', 1, lvl + 1, 'i' ),
         lvl + 1,
         max_lvl
  FROM   job_ids
  WHERE  lvl < max_lvl
)
SELECT COALESCE( t.HeldJobType, 'Other' ) AS HeldJobType,
       COUNT( e.event_id )
FROM   job_ids e
       LEFT OUTER JOIN trouble_ids t
       ON ( e.job_id = t.id )
GROUP BY
       COALESCE( t.HeldJobType, 'Other' );

其中，对于您的示例数据：

CREATE TABLE electric_jobs ( event_id, troublequeue ) AS
SELECT  1, 'TM' FROM DUAL UNION ALL
SELECT  2, 'DL' FROM DUAL UNION ALL
SELECT  3, 'DL' FROM DUAL UNION ALL
SELECT  4, 'DL' FROM DUAL UNION ALL
SELECT  5, 'AMI/STPR' FROM DUAL UNION ALL
SELECT  6, 'PM' FROM DUAL UNION ALL
SELECT  7, 'PM,CR' FROM DUAL UNION ALL
SELECT  8, 'DL' FROM DUAL UNION ALL
SELECT  9, 'TM' FROM DUAL UNION ALL
SELECT 10, 'AMI/STPR' FROM DUAL UNION ALL
SELECT 11, 'TM' FROM DUAL UNION ALL
SELECT 12, 'AMI/STPR' FROM DUAL UNION ALL
SELECT 13, 'AMI/STPR' FROM DUAL UNION ALL
SELECT 14, 'PM' FROM DUAL UNION ALL
SELECT 15, 'AMI/STPR' FROM DUAL UNION ALL
SELECT 16, 'PM' FROM DUAL UNION ALL
SELECT 17, 'MS' FROM DUAL UNION ALL
SELECT 18, 'TOCY, TCN, TT, DL, POLE' FROM DUAL;

输出：

HELDJOBTYPE            | COUNT(E.EVENT_ID)
:--------------------- | ----------------:
Distribution Line Crew |                 5
Pole Job               |                 1
Other                  |                17
Tree Crew              |                 1
Service Crew           |                 1
Troubleman             |                 3

db<>fiddle here

使用通配符计算案例表达式

Count case expression with wildcards

sql

oracle

wildcard

case

count