I need to do the Request by Year. as Input … by example 2019-01-01 thru 2019-12-31
Number of Reply's by Category (TOPIC and POST)
top tags in a year
average number of new topics per month (I found this in admin report admin panel)
average number of reply per month
average number of new users per month
Someone Can give a Hand on this??? or give me some direction
Let me confirm if this is what you need before setting up other queries:
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
No problem, I believe this is the information you are looking for:
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
I will set up other queries based on this paradigm.
Sorry for the delay in responding, follow the requested queries, as some are more complex than usual, I am available if you have any questions.
Michelle
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 --> *** Enable to delete Post without category***
GROUP BY t.category_id, c.name, p.year
ORDER BY p.year DESC, qt DESC
year
id
category
qt
2020
13
General
14
2020
16
Knowledge Base
3
2020
15
Staff
3
2020
1
Uncategorized
2
2020
17
Ideas
1
2019
18
Builds
10
2019
1
Uncategorized
8
2019
11
CS001x: Intro to Computer Science
7
2019
13
General
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 -- *** Choose the ranking limit ***
ORDER BY year DESC, qt DESC
year
rank
tag_name
quantity
2020
1
featured
7
2020
2
human-resources
3
2020
3
demo
1
2019
1
demo
12
2019
2
human-resources
4
2019
3
featured
3
2019
3
customer
3
2019
3
milestones-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