أحتاج إلى إجراء الطلب حسب السنة. كمثال، من 2019-01-01 إلى 2019-12-31
عدد الردود حسب الفئة (الموضوع والمشاركة)
أكثر الوسائط شيوعًا في السنة
متوسط عدد المواضيع الجديدة شهريًا (وجدت ذلك في لوحة تحكم التقارير الإدارية)
متوسط عدد الردود شهريًا
متوسط عدد المستخدمين الجدد شهريًا
هل يمكن لأحد المساعدة في هذا؟ أم أن يوجهني إلى بعض التوجيهات؟
دعني أتأكد مما إذا كان هذا هو ما تحتاجه قبل إعداد استعلامات أخرى:
WITH data AS (SELECT
id,
EXTRACT(MONTH FROM created_at) AS month,
EXTRACT(YEAR FROM created_at) AS year
FROM topics)
SELECT
ROUND(AVG(qt_topic_month)) AS avg_topic,
year
FROM
(SELECT COUNT(id) AS qt_topic_month,
month,
year
FROM data
GROUP BY month, year) AS top_m
GROUP BY year
ORDER BY year DESC
لا مشكلة، أعتقد أن هذه هي المعلومات التي تبحث عنها:
WITH data AS (SELECT
id,
EXTRACT(DAY FROM created_at) AS day,
EXTRACT(MONTH FROM created_at) AS month,
EXTRACT(YEAR FROM created_at) AS year
FROM topics)
SELECT
year,
month,
ROUND(AVG(qt_topic_day)) AS avg_topic
FROM
(SELECT COUNT(id) AS qt_topic_day,
day,
month,
year
FROM data
GROUP BY day, month, year) AS top_day
GROUP BY month, year
ORDER BY year DESC, month ASC
year
month
avg_topic
2020
1
23
2020
2
26
2020
3
24
2020
4
35
2020
5
31
سأقوم بإعداد استعلامات أخرى بناءً على هذا النموذج.
عذرًا على التأخير في الرد، إليك الاستعلامات المطلوبة، وبما أن بعضها أكثر تعقيدًا من المعتاد، فأنا متاحة إذا كان لديك أي أسئلة.
ميشيل
WITH post AS (SELECT
id AS post_id,
topic_id,
EXTRACT(YEAR FROM created_at) AS year
FROM posts
WHERE post_type = 1
AND deleted_at ISNULL
AND post_number != 1)
SELECT
p.year,
t.category_id AS id,
c.name category,
COUNT(p.post_id) AS qt
FROM post p
INNER JOIN topics t ON t.id = p.topic_id
LEFT JOIN categories c ON c.id = t.category_id
WHERE t.deleted_at ISNULL
-- AND t.category_id NOT NULL --> *** تفعيل لحذف مشاركة بدون فئة ***
GROUP BY t.category_id, c.name, p.year
ORDER BY p.year DESC, qt DESC
year
id
category
qt
2020
13
عام
14
2020
16
قاعدة المعرفة
3
2020
15
الموظفون
3
2020
1
غير مصنفة
2
2020
17
أفكار
1
2019
18
بناء
10
2019
1
غير مصنفة
8
2019
11
CS001x: مقدمة في علوم الحاسوب
7
2019
13
عام
5
WITH data AS (SELECT
tag_id,
EXTRACT(YEAR FROM created_at) AS year
FROM topic_tags)
SELECT year, rank, name, qt FROM (
SELECT
tag_id,
COUNT(tag_id) AS qt,
year,
rank() OVER (PARTITION BY year ORDER BY COUNT(tag_id) DESC) AS rank
FROM
data
GROUP BY year, tag_id) as rnk
INNER JOIN tags ON tags.id = rnk.tag_id
WHERE rank <= 5 -- *** اختر حد الترتيب ***
ORDER BY year DESC, qt DESC
year
rank
tag_name
quantity
2020
1
مُبرز
7
2020
2
الموارد البشرية
3
2020
3
تجربة
1
2019
1
تجربة
12
2019
2
الموارد البشرية
4
2019
3
مُبرز
3
2019
3
عميل
3
2019
3
أحداث_2019
3
WITH data AS (SELECT
id,
EXTRACT(DAY FROM created_at) AS day,
EXTRACT(MONTH FROM created_at) AS month,
EXTRACT(YEAR FROM created_at) AS year
FROM topics
WHERE deleted_at ISNULL)
SELECT
year,
month,
ROUND(AVG(qt_topic_day)) AS avg_topic_by_day
FROM
(SELECT COUNT(id) AS qt_topic_day,
day,
month,
year
FROM data
GROUP BY day, month, year) AS top_day
GROUP BY month, year
ORDER BY year DESC, month ASC
year
month
avg_topic_by_day
2020
1
1
2020
2
1
2020
3
2
2020
4
3
2020
5
2
2019
4
9
2019
5
4
2019
6
4
2019
7
1
2019
8
2
2019
9
3
2019
10
1
WITH data AS (SELECT
id,
EXTRACT(DAY FROM created_at) AS day,
EXTRACT(MONTH FROM created_at) AS month,
EXTRACT(YEAR FROM created_at) AS year
FROM posts
WHERE post_type = 1
AND deleted_at ISNULL
AND post_number != 1)
SELECT
year,
month,
ROUND(AVG(qt_reply_day)) AS avg_reply_by_day
FROM
(SELECT COUNT(id) AS qt_reply_day,
day,
month,
year
FROM data
GROUP BY day, month, year) AS top_reply
GROUP BY month, year
ORDER BY year DESC, month ASC
year
month
avg_reply_by_day
2020
1
7
2020
3
2
2020
4
5
2020
5
6
2019
4
3
2019
5
2
2019
6
4
2019
7
2
2019
8
15
2019
9
3
2019
10
5
2019
12
2
WITH data AS (SELECT
id,
EXTRACT(DAY FROM created_at) AS day,
EXTRACT(MONTH FROM created_at) AS month,
EXTRACT(YEAR FROM created_at) AS year
FROM users)
SELECT
year,
month,
ROUND(AVG(qt_new_user)) AS avg_new_user_by_day
FROM
(SELECT COUNT(id) AS qt_new_user,
day,
month,
year
FROM data
GROUP BY day, month, year) AS top_new_user
GROUP BY month, year
ORDER BY year DESC, month ASC