0

このようなクエリがあり、多くの情報が得られます

mysql> SELECT impacted.incident_id AS id,
    -> impacted.severity_id as sev,
    -> ((UNIX_TIMESTAMP(incident.stable_time) - UNIX_TIMESTAMP(incident.start_time)) / 60) AS duration,
    -> ops.department.name AS department,
    -> ops.country.name AS country
    -> FROM incident
    -> LEFT JOIN incident_impactedDepartments AS impacted ON incident.incident_id = impacted.incident_id
    -> LEFT JOIN incident_impacted ON incident.incident_id = incident_impacted.incident_id
    -> LEFT JOIN ops.department ON impacted.dept_id = ops.department.dept_id
    -> LEFT JOIN ops.country ON incident_impacted.entity_id = ops.country.country_id
    -> WHERE incident.status in ('OPEN','STABLE','ALL CLEAR','POST MORTEM COMPLETE')
    -> AND incident.incident_id in (35880,35992,33304);
+-------+------+-----------+-------------------+---------------+
| id    | sev  | duration  | department          | country       |
+-------+------+-----------+-------------------+---------------+
| 33304 |    1 |   29.0000 | Marketing         | NULL          | 
| 33304 |    1 |   29.0000 | Marketing         | GLOBAL        | 
| 33304 |    1 |   29.0000 | Accounting        | NULL          | 
| 33304 |    1 |   29.0000 | Accounting        | GLOBAL        | 
| 35880 |    1 |  109.5833 | Marketing         | Argentina     | 
| 35880 |    1 |  109.5833 | Marketing         | Brazil        | 
| 35880 |    1 |  109.5833 | Marketing         | Canada        | 
| 35880 |    1 |  109.5833 | Marketing         | Chile         | 
| 35880 |    1 |  109.5833 | Marketing         | Mexico        | 
| 35880 |    1 |  109.5833 | Marketing         | Peru          | 
| 35880 |    1 |  109.5833 | Marketing         | United States | 
| 35880 |    1 |  109.5833 | Accounting        | Argentina     | 
| 35880 |    1 |  109.5833 | Accounting        | Brazil        | 
| 35880 |    1 |  109.5833 | Accounting        | Canada        | 
| 35880 |    1 |  109.5833 | Accounting        | Chile         | 
| 35880 |    1 |  109.5833 | Accounting        | Mexico        | 
| 35880 |    1 |  109.5833 | Accounting        | Peru          | 
| 35880 |    1 |  109.5833 | Accounting        | United States | 
| 35880 |    2 |  109.5833 | Finance           | Argentina     | 
| 35880 |    2 |  109.5833 | Finance           | Brazil        | 
| 35880 |    2 |  109.5833 | Finance           | Canada        | 
| 35880 |    2 |  109.5833 | Finance           | Chile         | 
| 35880 |    2 |  109.5833 | Finance           | Mexico        | 
| 35880 |    2 |  109.5833 | Finance           | Peru          | 
| 35880 |    2 |  109.5833 | Finance           | United States | 
| 35992 |    3 | 1295.2667 | Accounting        | Italy         | 
+-------+------+-----------+-------------------+---------------+

インシデント 35880 が財務の 7 か国に影響を与えていることがわかります。私の目標は、インシデントごとに次の情報を収集することです。

+-------+------+----------+------------------------------+---------------------------------------------------------+
| id    | sev  | duration | department                   | country                                                 |
+-------+------+----------+------------------------------+---------------------------------------------------------+
| 35880 |    1 | 109.5833 | Marketing,Accounting,Finance | Argentina,Brazil,Canada,Chile,Mexico,Peru,United States | 
+-------+------+----------+------------------------------+---------------------------------------------------------+

そして、私は次のようなクエリでそうすることができます:

SELECT id, sev, duration, GROUP_CONCAT(DISTINCT department SEPARATOR ',') as department, GROUP_CONCAT(DISTINCT country SEPARATOR ',') as country
FROM
(SELECT impacted.incident_id AS id,
impacted.severity_id as sev,
((UNIX_TIMESTAMP(incident.stable_time) - UNIX_TIMESTAMP(incident.start_time)) / 60) AS duration,
ops.department.name AS department,
ops.country.name AS country
FROM incident
LEFT JOIN incident_impactedDepartments AS impacted ON incident.incident_id = impacted.incident_id
LEFT JOIN incident_impacted ON incident.incident_id = incident_impacted.incident_id
LEFT JOIN ops.department ON impacted.dept_id = ops.department.dept_id
LEFT JOIN ops.country ON incident_impacted.entity_id = ops.country.country_id
WHERE incident.status in ('OPEN','STABLE','ALL CLEAR','POST MORTEM COMPLETE')
AND incident.incident_id in (35880))
AS q1

ただし、プルされる重大度は、ID 35880 全体の重大度です。参照してください、35880 は異なるレベルで複数の部門に影響を与えました。特定の部門のクエリの重大度とマスター ID の重大度を確認できるようにしたいと考えています。ただし、クエリで部門 ID を指定すると、問題が発生します。

mysql> SELECT id, sev, duration, GROUP_CONCAT(DISTINCT department SEPARATOR ',') as department, GROUP_CONCAT(DISTINCT country SEPARATOR ',') as country
    -> FROM
    -> (SELECT impacted.incident_id AS id,
    -> impacted.severity_id as sev,
    -> ((UNIX_TIMESTAMP(incident.stable_time) - UNIX_TIMESTAMP(incident.start_time)) / 60) AS duration,
    -> ops.department.name AS department,
    -> ops.country.name AS country
    -> FROM incident
    -> LEFT JOIN incident_impactedDepartments AS impacted ON incident.incident_id = impacted.incident_id
    -> LEFT JOIN incident_impacted ON incident.incident_id = incident_impacted.incident_id
    -> LEFT JOIN ops.department ON impacted.dept_id = ops.department.dept_id
    -> LEFT JOIN ops.country ON incident_impacted.entity_id = ops.country.country_id
    -> WHERE incident.status in ('OPEN','STABLE','ALL CLEAR','POST MORTEM COMPLETE')
    -> AND incident.incident_id in (35880)
    -> AND impacted.dept_id = 1473)
    -> AS q1;
+-------+------+----------+------------+---------------------------------------------------------+
| id    | sev  | duration | department | country                                                 |
+-------+------+----------+------------+---------------------------------------------------------+
| 35880 |    2 | 109.5833 | Finance    | Argentina,Brazil,Canada,Chile,Mexico,Peru,United States | 
+-------+------+----------+------------+---------------------------------------------------------+

影響を受ける部門の完全なリストを取得できなくなりました。

これには 2 つの個別のクエリが必要ですか?

4

1 に答える 1

0

私はあなたの質問を完全に理解しているかどうかはわかりませんが、以下のいずれかが役立つことを願っています：

クエリ1：

SELECT id, sev, sev1, duration, GROUP_CONCAT(DISTINCT department SEPARATOR ',') as department, GROUP_CONCAT(DISTINCT country SEPARATOR ',') as country
FROM
(SELECT impacted.incident_id AS id, impacted.severity_id as sev, impacted1.severity_id as sev1, ((UNIX_TIMESTAMP(incident.stable_time) - UNIX_TIMESTAMP(incident.start_time)) / 60) AS duration, ops.department.name AS department,
ops.country.name AS country
FROM incident
LEFT JOIN incident_impactedDepartments AS impacted ON incident.incident_id = impacted.incident_id
LEFT JOIN incident_impactedDepartments AS impacted1 ON incident.incident_id = impacted1.incident_id AND impacted1.dept_id = 1473
LEFT JOIN incident_impacted ON incident.incident_id = incident_impacted.incident_id
LEFT JOIN ops.department ON impacted.dept_id = ops.department.dept_id
LEFT JOIN ops.country ON incident_impacted.entity_id = ops.country.country_id
WHERE incident.status in ('OPEN','STABLE','ALL CLEAR','POST MORTEM COMPLETE')
AND incident.incident_id in (35880))
AS q1;

クエリ2：

SELECT id, sev, duration, GROUP_CONCAT(DISTINCT department SEPARATOR ',') as department, GROUP_CONCAT(DISTINCT country SEPARATOR ',') as country
FROM
(SELECT impacted.incident_id AS id, impacted.severity_id as sev, ((UNIX_TIMESTAMP(incident.stable_time) - UNIX_TIMESTAMP(incident.start_time)) / 60) AS duration, ops.department.name AS department,
ops.country.name AS country
FROM incident
LEFT JOIN incident_impactedDepartments AS impacted ON incident.incident_id = impacted.incident_id
LEFT JOIN incident_impacted ON incident.incident_id = incident_impacted.incident_id
LEFT JOIN ops.department ON impacted.dept_id = ops.department.dept_id
LEFT JOIN ops.country ON incident_impacted.entity_id = ops.country.country_id
WHERE incident.status in ('OPEN','STABLE','ALL CLEAR','POST MORTEM COMPLETE')
AND incident.incident_id in (35880))
AS q1
GROUP BY department;

上記のクエリのいずれかで、期待どおりの結果が得られることを願っています。

于 2011-11-02T14:56:50.973 に答える