chainyo/t5-base-sede-txt2sql
•
Updated
•
9
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1
Datasets:
Tasks:
Token Classification
Sub-tasks:
parsing
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
original
ArXiv:
License:
apache-2.0
Dataset Preview
Go to dataset viewer
| QuerySetId (uint32) | Title (string) | Description (string) | QueryBody (string) | CreationDate (string) | validated (bool) |
|---|---|---|---|---|---|
466
| "Most controversial posts on the site"
| "Looks for posts with more than half the amount of downvotes as they have upvotes
Ordered by upvotes
"
| "SELECT
* from Votes"
| "2020-06-24 11:23:10"
| false
|
784
| "Comments asking for questions to be made wiki"
| "All comments that contain the text should and wiki"
| "SELECT PostId as [Post Link], Text from Comments
where Text like '%should%wiki%'"
| "2019-07-07 11:01:51"
| false
|
785
| "How many upvotes do I have for each tag?"
| "how long before I get tag badges?
"
| "DECLARE @UserId int = ##UserId##
SELECT --TOP 20
TagName,
COUNT(*) AS UpVotes,
COUNT(Posts.Id)
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId
GROUP BY TagName
ORDER BY UpVotes DESC"
| "2020-12-06 01:47:00"
| false
|
873
| "Posts containing a very short body"
| "Posts containing a body that is less than 8 chars long
"
| "SELECT Id as [Post Link], Body, Score from Posts where Len(Body) < 64 AND Title <> 'undefined'"
| "2020-11-30 04:11:17"
| false
|
877
| "Posts containing a very short title"
| "Posts containing a body that is less than 5 chars long
"
| "SELECT Id as [Post Link], Body, Score from Posts where Len(Title) < 20 and ParentId is null"
| "2020-11-25 01:19:00"
| false
|
886
| "Posts with many "thank you" answers"
| "Looking at posts shorter than 200 with the text `hank` somewhere in it
"
| "SELECT
ParentId as [Post Link],
count(id)
from posts
where posttypeid = 2 and len(body) <= 200
and (body like '%hey i%')
group by parentid
having count(id) > 1
order by count(id) desc;"
| "2020-11-30 02:23:24"
| false
|
949
| "What is my accepted answer percentage rate"
| "On avg how often are answers I give, accepted
"
| "DECLARE @UserId int = 2270762
SELECT
COUNT(*) as answers,
COUNT(q.id) as accepted,
CAST(Count(q.id) AS float) / COUNT(*) * 100 AS AcceptedPercentage
FROM Posts a
LEFT JOIN Posts q ON q.AcceptedAnswerId = a.Id
WHERE a.PostTypeId = 2"
| "2020-07-15 21:05:30"
| false
|
951
| "Low views, high votes yet unanswered"
| "A list of questions with a high score and low view count
"
| "SELECT
TOP 100
questao.Id as [Post Link],
questao.Score,
questao.ViewCount,
comentario.Id,
comentario.Score as socre_comentario,
comentario.ViewCount as views_comentario
FROM
Posts questao
JOIN Posts comentario ON questao.id = comentario.ParentId
WHERE
questao.Tags like '%<android%'
--AND questao.CreationDate >= '01/01/2018'
AND questao.ParentId is null
ORDER BY
questao.ViewCount ASC"
| "2020-04-04 04:29:48"
| false
|
952
| "Top 500 answerers on the site"
| "A list of the top 500 users with the highest average answer score excluding
community wiki / closed posts or users with less than 10 answers
"
| "SELECT
TOP 500
Users.Id as [User Link],
Count(Posts.Id) AS Answers,
CAST(AVG(CAST(Score AS float)) as numeric(6,2)) AS [Average Answer Score]
FROM
Posts
INNER JOIN
Users ON Users.Id = OwnerUserId
WHERE
PostTypeId = 2 and CommunityOwnedDate is null and ClosedDate is null
GROUP BY
Users.Id, DisplayName
HAVING
Count(Posts.Id) > 10
ORDER BY
[Average Answer Score] DESC"
| "2020-11-28 22:11:05"
| false
|
975
| "Users with more than one duplicate account and a more than 1000 reputation in aggregate"
| "A list of users that have duplicate accounts on site, based on the EmailHash and lots of reputation is riding on it
"
| "WITH more than one duplicate account and a more that 1000 reputation in aggregate
-- A list of users that have duplicate accounts on site, based on the EmailHash and lots of reputation is riding on it
SELECT
u1.EmailHash,
Count(u1.Id) AS Accounts,
(
SELECT Cast(u2.Id AS varchar) + ' (' + u2.DisplayName + ' ' + Cast(u2.reputation as varchar) + '), '
FROM Users u2
WHERE u2.EmailHash = u1.EmailHash order by u2.Reputation desc FOR XML PATH ('')) AS IdsAndNames
FROM
Users u1
WHERE
u1.EmailHash IS NOT NULL
and (select count(*) from Users u3 where u3.EmailHash = u1.EmailHash and Reputation > 10) > 1
GROUP BY
u1.EmailHash
HAVING
Count(u1.Id) > 1
ORDER BY
Accounts DESC"
| "2019-05-23 00:03:12"
| false
|
1,080
| "Top Users by Number of Bounties Won"
| "SELECT Top 300
Posts.OwnerUserId As [User Link], COUNT(*) As BountiesWon
FROM Votes
INNER JOIN Posts ON Votes.PostId = Posts.Id
WHERE
VoteTypeId=9
GROUP BY
Posts.OwnerUserId
ORDER BY
BountiesWon DESC"
| "2020-09-24 00:04:31"
| false
|
|
1,484
| "Badge CreationDate is always NULL (IS THIS A BUG?)"
| "SELECT Name, (SELECT Count(*) FROM Badges B WHERE B.Name=C.Name AND CreationDate Is NULL) As [CountNull],
(SELECT Count(*) FROM Badges B WHERE B.Name=C.Name AND CreationDate Is NOT NULL) As [CountNotNull]
FROM Badges C
Group By Name"
| "2010-05-28 06:35:30"
| false
|
|
1,619
| "New user signup rates (SuperUser)"
| "WITH graph
select [Month],
count(*) Users
from
(
select CAST(
cast(DATEPART(YYYY, CreationDate) as varchar) + '-' + cast(DATEPART(MM, CreationDate) as varchar) + '-01'
as datetime) [Month]
from Users p
) as X
group by [Month]
order by [Month] asc"
| "2012-08-16 13:45:41"
| false
|
|
1,682
| "Check Votes.CreationDate is always a date"
| "SELECT
Name, Count(*)as [Count], DatePart(Hour, Votes.CreationDate)as [hour],DatePart(Minute, Votes.CreationDate)as [minute],DatePart(Second, Votes.CreationDate)as [second],DatePart(Millisecond, Votes.CreationDate)as [ms]
FROM
Votes
JOIN
VoteTypes
ON VoteTypeId = VoteTypes.Id
GROUP BY Name, DatePart(Hour, Votes.CreationDate),DatePart(Minute, Votes.CreationDate),DatePart(Second, Votes.CreationDate),DatePart(Millisecond, Votes.CreationDate)"
| "2010-05-29 03:25:23"
| false
|
|
1,703
| "Up vs Down votes by week day"
| "SELECT
DATENAME(WEEKDAY, CreationDate) AS Day,
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes
GROUP BY
DATENAME(WEEKDAY, CreationDate), DATEPART(WEEKDAY, CreationDate)
ORDER BY
DATEPART(WEEKDAY, CreationDate)"
| "2010-05-29 07:17:20"
| false
|
|
1,717
| "Up vs Down votes by hour of day of Question or Answer"
| "SELECT
CASE WHEN PostTypeId = 1 THEN 'Question' ELSE 'Answer' END As [Post Type],
DATEPART(HOUR, p.CreationDate) AS Hour,
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes v JOIN Posts p ON v.PostId=p.Id
WHERE
PostTypeId In (1,2)
AND
VoteTypeId In (2,3)
GROUP BY
PostTypeId, DATEPART(HOUR, p.CreationDate)
ORDER BY
PostTypeId, DATEPART(HOUR, p.CreationDate)"
| "2012-06-06 19:45:20"
| false
|
|
1,718
| "Up vs Down votes by day of week of Question or Answer"
| "SELECT TOP 50
p.Id as [Post Link],
CASE WHEN PostTypeId = 1 THEN 'Question' ELSE 'Answer' END As [Post Type],
--DATENAME(WEEKDAY, p.CreationDate) AS Day,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes
FROM
Votes v
JOIN Posts p ON v.PostId=p.Id
WHERE
PostTypeId In (1) AND VoteTypeId In (2,3)
and CommunityOwnedDate is null and ClosedDate is null
and AcceptedAnswerId is null
and YEAR(p.CreationDate) = 2020
GROUP BY p.Id, PostTypeId
HAVING SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) = 0
ORDER BY DownVotes desc"
| "2020-05-04 15:31:23"
| false
|
|
1,782
| "Up vs Down votes by hour of week of Question or Answer"
| "SELECT
CASE WHEN PostTypeId = 1 THEN 'Question' ELSE 'Answer' END As [Post Type],
DATENAME(WEEKDAY, p.CreationDate) AS [Day],
DATEPART(HOUR, p.CreationDate) AS [Hour],
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes v JOIN Posts p ON v.PostId=p.Id
GROUP BY
PostTypeId, DATEPART(WEEKDAY, p.CreationDate), DATENAME(WEEKDAY, p.CreationDate), DATEPART(HOUR, p.CreationDate)
ORDER BY
PostTypeId, --DATEPART(WEEKDAY, p.CreationDate), DATEPART(HOUR, p.CreationDate)
7"
| "2010-05-29 17:58:51"
| false
|
|
1,919
| "Average Answerer's Age (among the tags answered by more than 1000 users with age filled)"
| "SELECT TagName AS Tags, AVG(Age * 1.0) AS [Average Answerer's Age], COUNT(*) AS [Number of Answerers]
FROM (
SELECT DISTINCT pa.OwnerUserId, pt.TagId
FROM Users u
JOIN Posts pa
ON pa.OwnerUserId = U.Id
JOIN Posts pq
ON pq.Id = pa.ParentId
JOIN PostTags pt
ON pt.PostId = pq.Id
) ut
JOIN Tags t
ON t.Id = ut.TagId
JOIN Users u
ON u.Id = ut.OwnerUserId
WHERE u.Age BETWEEN 10 AND 90
GROUP BY
t.Id, t.TagName
HAVING COUNT(*) > 1000
ORDER BY
2 DESC*/
SELECT * From Users"
| "2020-01-21 07:02:11"
| false
|
|
1,933
| "Users with high self-accept rates (and having > 10 answers)"
| "(the extreme self-learners)
"
| "SELECT
TOP 100
Users.Id AS [User Link],
(CAST(Count(a.Id) AS float) / CAST((SELECT Count(*) FROM Posts p WHERE p.OwnerUserId = Users.Id AND PostTypeId = 1) AS float) * 100) AS SelfAnswerPercentage
FROM
Posts q
INNER JOIN
Posts a ON q.AcceptedAnswerId = a.Id
INNER JOIN
Users ON Users.Id = q.OwnerUserId
WHERE
q.OwnerUserId = a.OwnerUserId
GROUP BY
Users.Id, DisplayName
HAVING
Count(a.Id) > 20
ORDER BY
SelfAnswerPercentage DESC"
| "2020-02-22 19:02:24"
| false
|
2,142
| "Find people from a company"
| "Enter a company name to search for people working at that company
"
| "SELECT
Users.Id as [User Link],
Users.Reputation
FROM
Users
WHERE
lower(Users.AboutMe) LIKE lower('%##CompanyName##%')
ORDER BY
Users.Reputation desc"
| "2020-08-03 19:18:18"
| false
|
2,305
| "Posts containing bit.ly shortened URLs"
| "Posts containing bit.ly shortened URLs, which allow for tracking clicks :-(
See http://meta.stackoverflow.com/questions/29518/can-and-should-stack-overflow-automatically-rewrite-bit-ly-links
See http://stackapps.com/questions/121/what-ideas-do-you-have-for-the-api/546#546
"
| "SELECT Id as [Post Link], Body
from Posts
where Body like '%http://bit.ly%'"
| "2010-06-05 16:54:37"
| false
|
2,357
| "How many upvotes do I have towards tag-specialist badges?"
| "DECLARE @UserId int = ##UserId##
SELECT TOP 500
TagName,
COUNT(*) AS UpVotes
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId
AND Posts.CommunityOwnedDate IS NULL
GROUP BY TagName
ORDER BY UpVotes DESC"
| "2020-07-23 13:58:56"
| false
|
|
2,471
| "Worst 100 Askers from the top 1500 by question count on the site"
| "A list of the bottom 100 askers of questions
ordered by average answer score excluding
community wiki / closed posts, from the top 1500 by question count
"
| "SELECT TOP 100 * FROM (
SELECT
TOP 1500
OwnerUserId as [User Link],
Count(Posts.Id) AS Questions,
CAST(AVG(CAST(Score AS float)) as numeric(6,2)) AS [Average Question Score]
FROM
Posts
WHERE
PostTypeId = 1 and CommunityOwnedDate is null and ClosedDate is null
GROUP BY
OwnerUserId
ORDER BY
Count(Posts.Id) DESC
)D
ORDER BY
[Average Question Score] ASC"
| "2010-06-07 17:44:41"
| false
|
2,666
| "Most common tags with singular and plural version (s-plural)"
| "Tags which that have singular and plural version (with s-plural).
For example [database] and [database].
"
| "WITH singular and plural version (s-plur
-- Tags which that have singular and plural version (WITH s-plural).
-- For example [database] and [database].
select
( select count(*) AS cnts
from posttags pts
where pts.TagId = t1.id) +
( select count(*) AS cnts
from posttags pts
where pts.TagId = t2.id)
as [Total count],
t1.TagName [Singular name],
( select count(*) AS cnts
from posttags pts
where pts.TagId = t1.id) as [Singular count],
t2.TagName [Plural tag],
( select count(*) AS cntp
from posttags ptp
where ptp.TagId = t2.id) as [Plural count]
from Tags t1
join Tags t2 on ( t1.TagName + 's' = t2.TagName)
order by [Total count] desc"
| "2010-06-08 21:51:19"
| false
|
2,667
| "Most common tags with singular and plural version (es-plural)"
| "Tags which that have singular and plural version (with es-plural).
For example [hash] and [hashes].
"
| "WITH singular and plural version (es-plural)
-- Tags which that have singular and plural version (WITH es-plural).
-- For example [hash] and [hashes].
select
( select count(*) AS cnts
from posttags pts
where pts.TagId = t1.id) +
( select count(*) AS cnts
from posttags pts
where pts.TagId = t2.id)
as [Total count],
t1.TagName [Singular name],
( select count(*) AS cnts
from posttags pts
where pts.TagId = t1.id) as [Singular count],
t2.TagName [Plural tag],
( select count(*) AS cntp
from posttags ptp
where ptp.TagId = t2.id) as [Plural count]
from Tags t1
join Tags t2 on ( t1.TagName + 'es' = t2.TagName)
order by [Total count] desc"
| "2010-06-08 22:00:13"
| false
|
2,680
| "Users with high self-accept rates (and having > 10 answe"
| "(the extreme self-learners)
"
| "WITH high self-accept rates (and having > 10 answe
-- (the extreme self-learners)
SELECT
TOP 100
Users.Id AS [User Link],
ROUND((CAST(Count(a.Id) AS float) / CAST((SELECT Count(*) FROM Posts p WHERE p.OwnerUserId = Users.Id AND PostTypeId = 1) AS float) * 100),2) AS SelfAnswerPercentage
FROM
Posts q
INNER JOIN
Posts a ON q.AcceptedAnswerId = a.Id
INNER JOIN
Users ON Users.Id = q.OwnerUserId
WHERE
q.OwnerUserId = a.OwnerUserId
GROUP BY
Users.Id, DisplayName
HAVING
Count(a.Id) > 10
ORDER BY
SelfAnswerPercentage DESC"
| "2010-06-09 06:03:08"
| false
|
2,735
| "Users ranked by badge per day"
| "DECLARE @endDate date
SELECT @endDate = max(CreationDate) from Posts
SELECT TOP 100
*, CONVERT(float, NumBadges)/Days as [BadgePerDay]
FROM (
SELECT
Users.Id as [User Link],
COUNT(*) as [NumBadges],
MAX(DateDiff(Day, Users.CreationDate, @endDate)) as [Days]
FROM
Users INNER JOIN Badges
ON Users.Id = Badges.UserId
GROUP BY
Users.Id
) as UsersWithBadgeCount
WHERE
Days > 30
ORDER BY
BadgePerDay DESC"
| "2010-06-09 22:34:05"
| false
|
|
2,765
| "Recent Tab Works - You Just Have to save a query for it to show up here"
| "It works
"
| "SELECT 'waffles keeps on changing stuff here, and will be adding a spy tab where you can see everything'"
| "2019-07-07 11:02:38"
| false
|
2,777
| "Users by Popular Question ratio"
| "(only users with at least 10 Popular Questions)
"
| "SELECT
num.TagName as Tag,
row_number() over (order by rate.Rate desc) as SeptemberRank,
row_number() over (order by num.Num desc) as TotalRank,
rate.Rate as QuestionsInMay,
num.Num as QuestionsTotal
from
(SELECT count(PostId) as Rate, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
and Posts.CreationDate < '2019-09-01'
and Posts.CreationDate > '2019-08-01'
group by TagName) as rate
INNER JOIN
(SELECT count(PostId) as Num, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
group by TagName
having count(PostId) > 800)
as num ON rate.TagName = num.TagName
order by rate.rate desc
;"
| "2020-10-08 15:43:37"
| false
|
2,803
| "Users by location, with a minimum reputation"
| "WITH a minimum reputation
select
Id as "User Link",
Reputation,
WebsiteUrl as "Website URL",
Location
from Users
where
Location like '%##location##%' and
Reputation >= ##minimumReputation##
order by Reputation desc"
| "2020-12-09 04:38:29"
| false
|
|
2,868
| "How high would my reputation approximately be when there was no cap or CW?"
| "DECLARE @UserId int = ##UserId##
SELECT
SUM(CASE
WHEN VoteTypeId = 1 THEN 15 -- Accepted answer.
WHEN VoteTypeId = 2 AND PostTypeId = 1 THEN 10 -- Upvoted question
WHEN VoteTypeId = 2 AND PostTypeId = 2 THEN 10 -- Upvoted answer.
WHEN VoteTypeId = 3 THEN -2 -- Downvote.
WHEN VoteTypeId = 9 THEN BountyAmount -- Earned Bounty
END) AS UncappedReputation
FROM
Votes
INNER JOIN
Posts ON Posts.Id = Votes.PostId
WHERE
Posts.OwnerUserId = @UserId"
| "2020-06-19 17:33:23"
| false
|
|
3,335
| "Possible editors for the 'rebol' tag"
| "Lists every user who has ever answered a question on the 'rebol' tag, along with if they have sufficient rep to edit questions
"
| "WITH if they have sufficient rep to edit questions
SELECT MAX(Users.Reputation), Users.Id AS [User Link], [Can edit] = CASE WHEN MAX(Users.Reputation) >= 2000 THEN 'yes' ELSE 'no' END FROM Posts, Users, PostTags, Tags WHERE Posts.OwnerUserId = Users.Id AND Posts.ParentId = PostTags.PostId AND PostTags.TagId = Tags.Id AND Tags.TagName = 'rebol' GROUP BY Users.Id ORDER BY MAX(Reputation) DESC;"
| "2010-06-14 18:37:40"
| false
|
3,499
| "Most popular replies to my comments"
| "Shows the highest-scoring comments to include "@yourname". Of course, people
can reply to you with only part of your username, and your username can change,
and other users can have the same name as you, so it's not 100% accurate.
"
| "WITH only part of your username, and your username can change,
-- and other users can have the same name as you, so it's not 100% accurate.
SELECT TOP 100 Comments.PostId AS [Post Link], Users.DisplayName, Comments.Score, Comments.Text, Comments.CreationDate
FROM Comments
LEFT JOIN Users on Comments.UserID = Users.ID
WHERE Comments.Text LIKE '%@##UserName##%'
ORDER BY Comments.score DESC"
| "2010-06-15 00:36:26"
| false
|
3,631
| "List of Users in a given location"
| "This query lists all users in a given location sorted by reputation.
"
| "SELECT * FROM Users WHERE Location LIKE '%##location##%'
ORDER BY CreationDate ASC"
| "2020-04-17 03:04:42"
| false
|
3,773
| "My top comments (eligible for Pundit badge)"
| "Show comments with 10 or more upvotes
"
| "WITH 10 or more upvotes
select row_number() over(order by score asc) as rownum,
postid as [Post Link], score, text
from comments
where userid = ##userid##
order by score desc"
| "2012-01-22 15:14:13"
| false
|
3,938
| "How many upvotes do I have for each tag? (Wiki & Non-Wiki)"
| "how long before I get tag badges?
"
| "DECLARE @UserId int = ##UserId##
SELECT --TOP 20
TagName,
SUM(CASE WHEN Posts.CommunityOwnedDate IS NULL OR Votes.CreationDate < Posts.CommunityOwnedDate
THEN 1
ELSE 0
END) AS NonWikiUpvotes,
COUNT(*) AS UpVotes
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId
GROUP BY TagName
ORDER BY UpVotes DESC"
| "2010-06-16 18:36:19"
| false
|
3,978
| "Most popular StackOverflow tags in May 2010"
| "SELECT
num.TagName as Tag,
row_number() over (order by rate.Rate desc) as MayRank,
row_number() over (order by num.Num desc) as TotalRank,
rate.Rate as QuestionsInMay,
num.Num as QuestionsTotal
from
(SELECT count(PostId) as Rate, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
and Posts.CreationDate < '2010-06-01'
and Posts.CreationDate > '2010-05-01'
group by TagName) as rate
INNER JOIN
(SELECT count(PostId) as Num, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
group by TagName
having count(PostId) > 800)
as num ON rate.TagName = num.TagName
order by rate.rate desc
;"
| "2020-12-03 11:46:10"
| false
|
|
3,981
| "StackOverflow topics in May 2010"
| "It would be nice to have a graph, I know :)"
| "SELECT
num.TagName as Topic,
row_number() over (order by rate.Rate desc) as MayRank,
row_number() over (order by num.Num desc) as TotalRank,
rate.Rate as QuestionsInMay,
num.Num as QuestionsTotal
from
(SELECT count(PostId) as Rate, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
and Posts.CreationDate < '2010-06-01'
and Posts.CreationDate > '2010-05-01'
group by TagName) as rate
INNER JOIN
(SELECT count(PostId) as Num, TagName
from
Tags, PostTags, Posts
where Tags.Id = PostTags.TagId and Posts.Id = PostId
group by TagName
having count(PostId) > 800)
as num ON rate.TagName = num.TagName
order by rate.rate desc
;"
| "2010-06-17 01:29:54"
| false
|
4,272
| "Top n posters for a given country"
| "Gets the top n poster for a country of your choice
"
| "DECLARE @TopCount INT = ##TopCount##
SELECT
TOP (@TopCount)
Id, DisplayName, reputation, LastAccessDate, Age, Location
FROM
Users
WHERE
Location LIKE '##COuntry##%'
ORDER BY
Reputation DESC"
| "2010-06-18 10:41:41"
| false
|
4,608
| "Question where my answer has been accepted but some answer has better score than mine"
| "This query will return, for a user, the list of question where his answer has been accepted but some others answer has better score
"
| "SELECT Q.id as Qid, Q.title as Qtitle, myA.id as myAid, myA.Body as myAbody, allA.id as OthersAid, allA.Body as OthersAbody
FROM Posts myA, Posts allA, Posts Q
WHERE Q.id=allA.ParentId AND
Q.AcceptedAnswerId=myA.id AND
myA.OwnerUserId = ##UserId## AND
myA.PostTypeId = 2 AND
allA.PostTypeId = 2 AND allA.score > myA.score"
| "2010-06-20 17:23:04"
| false
|
4,797
| "What is my reputation's percentile?"
| "Computes what percentage of users have lower reputation than the given user ID.
A minimum reputation can be specified to cut off one-time users and other such outliers. (use a large negative number to consider all users)
"
| "WITH Population(TotalUsers, UsersBelowMe) AS (
SELECT SUM(CASE WHEN uAll.Reputation > ##MinReputation## THEN 1 ELSE 0 END) AS TotalUsers,
SUM(CASE WHEN uAll.Reputation < uMe.Reputation AND uAll.Reputation > ##MinReputation## THEN 1 ELSE 0 END) AS UsersBelowMe
FROM Users uMe
CROSS JOIN Users uAll
WHERE uMe.Id = ##UserId##)
SELECT 100.0 * UsersBelowMe / TotalUsers AS Percentile, UsersBelowMe, TotalUsers FROM Population"
| "2013-12-31 02:41:48"
| false
|
4,850
| "Number of users with less or equal to X rep"
| "49% of users on Stack Overflow have 1 rep. Wow!"
| "DECLARE @LessThanX float
select @LessThanX = count(*) from users where reputation >= ##X##
DECLARE @AllUsers float
select @AllUsers = count(*) from users
select @LessThanX"
| "2017-05-15 17:58:44"
| false
|
5,289
| "How many upvotes do I have for each tag (Silver and Gold)?"
| "how long before I get tag badges?
"
| "DECLARE @UserId int = ##UserId##
SELECT --TOP 20
TagName,
400 - COUNT(*) AS 'UpVotes to Silver',
1000 - COUNT(*) AS 'UpVotes to Gold'
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId
GROUP BY TagName
ORDER BY 'UpVotes to Silver'"
| "2010-06-25 15:21:37"
| false
|
5,465
| "Testing WITH CUBE (and ROLLUP)"
| "It seems even though you cannot refer to column names in normal SQL
(simple ORDER BY references excepted -- a SQL Extension I believe)
you do have to consider the matching expression as a name because
although ISNULL(x,y) should never be null, it clearly is in the
subtotal for that row.
"
| "DECLARE @UserId int = ##UserId##
SELECT
datepart(year,creationdate) as [Year],
datepart(month,creationdate) as [Date],
ISNULL(Score,-1) AS [Score],
Count(*) AS CommentCount,
Sum(Len(Text)) As Typed
FROM
Comments
WHERE
UserId = @UserId
GROUP BY
datepart(year,creationdate), datepart(month,creationdate), ISNULL(Score,-1) WITH cube
ORDER BY
ISNULL(datepart(year,creationdate),9999), ISNULL(datepart(month,creationdate),13), ISNULL(ISNULL(Score,-1),-2) DESC, CommentCount Desc"
| "2010-06-26 10:56:57"
| false
|
5,473
| "Testing CUBE (and ROLLUP) using ISO-Compliant syntax"
| "It seems even though you cannot refer to column names in normal SQL
(simple ORDER BY references excepted -- a SQL Extension I believe)
you do have to consider the matching expression as a name because
although ISNULL(x,y) should never be null, it clearly is in the
subtotal for that row. But you can also use the Grouping() expression
and this seems to be its main reason for existing.
"
| "DECLARE @UserId int = ##UserId##
SELECT
datepart(year,creationdate) as [Year],
datepart(month,creationdate) as [Date],
Score AS [Score],
Count(*) AS CommentCount,
Sum(Len(Text)) As Typed,
Grouping(datepart(year,creationdate)),
Grouping(datepart(month,creationdate)),
Grouping(Score)
FROM
Comments
WHERE
UserId = @UserId
GROUP BY
CUBE(datepart(year,creationdate), datepart(month,creationdate), Score)
ORDER BY
ISNULL(datepart(year,creationdate),9999), ISNULL(datepart(month,creationdate),13), ISNULL(Score,CASE WHEN Grouping(Score)=0 THEN -1 ELSE -2 END) DESC, CommentCount Desc"
| "2010-06-26 11:39:44"
| false
|
5,486
| "Users with the most rep-gaining answer acceptances"
| "
"
| "SELECT TOP 100
u.Id AS [User Link],
u.Reputation,
(
SELECT COUNT(*) FROM Posts q
WHERE
q.OwnerUserId = u.Id AND
q.PostTypeId = 1
) AS 'All Questions',
(
SELECT COUNT(*) FROM Votes v
INNER JOIN Posts a ON a.Id = v.PostId
INNER JOIN Posts q ON q.Id = a.ParentId
WHERE
q.OwnerUserId = u.Id AND
v.VoteTypeId = 1 AND
q.OwnerUserId != a.OwnerUserId AND
(q.CommunityOwnedDate IS NULL OR q.CommunityOwnedDate > v.CreationDate)
) AS 'Rep-gaining Acceptances'
FROM Users u
ORDER BY 'Rep-gaining Acceptances' DESC"
| "2010-06-26 20:37:53"
| false
|
5,530
| "High Score Questions Without Accepted Answer by Reputable Users"
| "Find useful questions by users who are respected in the community.
"
| "WITH out Accepted Answer by Reputable Users
-- Find useful questions by users who are respected in the community.
SELECT
Posts.Id AS [Post Link],
Posts.Score AS [Score],
Posts.ViewCount AS [View Count],
Users.Reputation AS [Asker Rep]
FROM
Posts
INNER JOIN PostTags ON Posts.Id = PostTags.PostId
INNER JOIN Tags ON PostTags.TagId = Tags.id
INNER JOIN Users ON Users.Id = Posts.OwnerUserId
WHERE
Posts.ClosedDate is NULL AND
Posts.CommunityOwnedDate is NULL AND
Posts.AcceptedAnswerId is NULL AND
Posts.Score >= ##MinPostScore## AND
Users.Reputation >= ##MinAskerRep##
ORDER BY
Posts.Score DESC, Posts.ViewCount DESC"
| "2014-12-12 18:53:10"
| false
|
5,646
| "#Temporary tables, indexes and procedures work!"
| "#Temporary views and functions return errors stating they're not allowed.
Use Text-only results, and include the execution plan to see the index has been used.
"
| "SELECT * from tags"
| "2014-05-14 01:25:24"
| false
|
6,134
| "Total Questions and Answers per Month for the last 12"
| "Total number of questions and answers for the last 12 months (in 30 day chunks)
"
| "SELECT
count(Id)
FROM
Posts
WHERE
ParentId is null
and CreationDate >= '2014/11/01'
and CreationDate < '2014/12/01'
and Tags like '%google-cast%';"
| "2015-07-25 00:25:36"
| false
|
6,193
| "Find Stack Overflow Users In Your City"
| "A simply query to find users in your city or country.
"
| "SELECT Id,Reputation,DisplayName
FROM Users
WHERE Location LIKE '%##Location##%'
ORDER BY Reputation DESC"
| "2016-03-24 16:39:00"
| false
|
6,559
| "Number of Qs and As per month"
| "SELECT
month(CreationDate) as month,
year(CreationDate) as year,
(SELECT
count(id)
from
Posts
where
PostTypeId=1 and
(month(CreationDate) = month(p1.CreationDate)and
year(CreationDate) = year(p1.CreationDate))) as questions,
(SELECT
count(id)
from
Posts
where
PostTypeId=2 and
(month(CreationDate) = month(p1.CreationDate)and
year(CreationDate) = year(p1.CreationDate))) as answers,
count(Id) as total
from
Posts as p1
group by
month(CreationDate), year(CreationDate)
order by
year desc, month desc"
| "2010-07-07 23:14:14"
| false
|
|
6,582
| "How many non-CW upvotes do I have for each tag?"
| "Shows the totals of non community wiki upvotes in each tag
"
| "DECLARE @UserId int = ##UserId##
SELECT --TOP 20
TagName,
COUNT(*) AS UpVotes
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserID
AND (Votes.CreationDate < Posts.CommunityOwnedDate
OR Posts.CommunityOwnedDate IS NULL)
GROUP BY TagName
ORDER BY UpVotes DESC"
| "2010-07-08 02:13:08"
| false
|
6,651
| "Question rep vs Answer rep"
| "My scores from questions and answers
"
| "SELECT
case
when p.PostTypeId = 1 then
'Question'
else
'Answer'
end as 'Post Type',
case
when p.PostTypeId = 1 then
SUM(p.Score) * 5
when p.PostTypeId = 2 then
SUM(p.Score) * 10
end as 'Score'
FROM
Posts p
WHERE
p.OwnerUserId = 31716
GROUP BY p.PostTypeId"
| "2016-07-22 23:58:30"
| false
|
6,709
| "find number of questions for a list of tags"
| "given a list of tags find out how many question each of the tags has
"
| "SELECT Tags.Tagname, count(Posts.Id) as questions, sum(ViewCount) as views from Posts left join
PostTags on PostS.Id = PostTags.PostId left Join
Tags on PostTags.TagId = Tags.Id
where
Tags.TagName in (
-- enter tags here
'asterisk',
'pbx',
'sms',
'voip'
)
group by Tags.TagName"
| "2010-07-08 22:55:32"
| false
|
6,710
| "questions + views for tags on serverfault"
| "Enter Query Description
"
| "SELECT Tags.Tagname, count(Posts.Id) as questions, sum(ViewCount) as views from Posts left join
PostTags on PostS.Id = PostTags.PostId left Join
Tags on PostTags.TagId = Tags.Id
where
Tags.TagName in (
-- enter tags here
'asterisk',
'pbx',
'sms',
'voip'
)
group by Tags.TagName"
| "2010-07-08 22:57:00"
| false
|
6,803
| "How do I Rank Compared to Other Users"
| "What is my overall rank compared to other users and which user page am I on.
"
| "DECLARE @UserId int = ##UserId##
select (count(*) + 1) as Rank, ((count(*) / 35) + 1) 'User Page',
(select reputation from users
where id = @UserId) Reputation
from users
where reputation > (select u.reputation from users u where u.id = @UserId)"
| "2010-07-09 16:30:12"
| false
|
6,856
| "High Standards - Top 100 Users that rarely upvote."
| "Top 100 Users that rarely upvote in comparison to the
estimated amount of upvotes they received (doesn't account
for e.g. bounties but should give a sufficient estimation).
Useful settings (MinRep, MinUpvotes): (1000, 100), (10000, 0).
"
| "SELECT TOP 1000
posts.id, body, tagid, tagname
from posts
inner join posttags on posts.id = posttags.postid
inner join tags on posttags.tagid = tags.id
where tagname in ('javascript', 'jquery', 'java', 'c#')
order by posts.id"
| "2020-01-29 20:28:52"
| false
|
7,074
| "Posts with many "thank you" answers, ordered by views"
| "Looking at posts shorter than 200 with the text `thank` somewhere in it, ordered by views
"
| "WITH many "thank you" answers, ordered by views
-- Looking at posts shorter than 200 WITH the text `thank` somewhere in it, ordered by views
select
a.ParentId as [Post Link],
count(a.id), sum(q.ViewCount) / count(a.id)
from posts a
inner join posts q
on a.ParentId = q.Id
where q.posttypeid = 1 and
a.posttypeid = 2 and
len(a.body) <= 200 and
(a.body like '%thank%')
group by a.ParentId
having count(a.Id) > 1
order by count(a.Id) desc, sum(q.ViewCount) desc"
| "2010-07-13 03:57:54"
| false
|
7,147
| "Unanswered Inactive Questions for a Specific Tag"
| "Inactive questions with no answers for a specific tag (ViewCount ASC)
"
| "WITH No Answers for a Specific Tag
-- Inactive questions WITH no answers for a specific tag (ViewCount ASC)
SELECT TOP 100
Id AS [Post Link],
Tags,
ViewCount,
CreationDate
FROM
Posts
WHERE
ParentId IS NULL AND
AnswerCount = 0 AND
Tags LIKE '<batch-file>'
ORDER BY
ViewCount ASC"
| "2017-10-06 12:29:26"
| false
|
7,172
| "My edits - S&W and Copy Editor"
| "Approximate number of edits performed.
"
| "DECLARE @user int = ##userid##;
select count(p.id) as 'Edits'
from posts p
where p.owneruserid != @user and
p.lasteditoruserid = @user;"
| "2010-07-13 16:11:21"
| false
|
7,245
| "Check Strunk und White process"
| "Return how far I have to go to get S&W
"
| "DECLARE @UserId int = 3038
SELECT 100 - COUNT(*) AS 'Edits To Strunk & White' FROM Posts
WHERE PostTypeId = 1
AND LastEditorUserId = @UserId
AND OwnerUserId != @UserId"
| "2019-07-20 13:05:06"
| false
|
7,296
| "Count Users with X Reputation or Higher"
| "This query does a simple count of all users in the database with the specified minimum reputation.
"
| "WITH X Reputation or Higher
-- This query does a simple count of all users in the database WITH the specified minimum reputation.
SELECT Count = COUNT(*) FROM Users WHERE Reputation >= '##reputation##'"
| "2010-07-14 01:14:29"
| false
|
7,570
| "Users in Location including active tags, sorted by Rep."
| "Users in Location including active tags, sorted by Rep.
"
| "SELECT
Id AS [User Link],
Reputation,
WebsiteUrl,
Age,
LastAccessDate,
Tags = (
SELECT TOP 3
TagName
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = U.ID
GROUP BY TagName
ORDER BY COUNT(*) DESC
FOR XML PATH('')
)
FROM Users U WHERE Location LIKE '%' + ##Location:string## + '%'
ORDER BY Reputation DESC"
| "2010-07-18 15:47:28"
| false
|
7,672
| "Bounties and Questions by Month"
| "Computes the number of bounties awarded and the total bounty amount awarded each month,
along with the number of questions asked.
"
| "SELECT *
from information_schema.tables"
| "2020-03-09 03:01:27"
| false
|
7,735
| "Users sorted by average score."
| "Votes per answer (non-CW, with at least 100 answers to their credit)
"
| "WITH at least 100 answers to their credit)
select u.id as [User Link], u.reputation as 'Rep', count(a.id) as 'Answers',
sum(a.score) as 'Total Score',
cast (sum(a.score) as float) / cast(count(a.id) as float) as 'Average'
from posts a, users u
where a.owneruserid = u.id
and a.posttypeid = 2
and a.communityowneddate is null
group by u.id, u.reputation
having count(a.id) > 400
order by cast (sum(a.score) as float) / cast(count(a.id) as float) asc"
| "2013-03-07 06:12:20"
| false
|
7,802
| "Posts with many "thank you" answers -- yet no accepted answer"
| "SELECT
p.ParentId as [Post Link],
count(p.id)
from posts p
inner join posts as parent on parent.id=p.parentId
where p.posttypeid = 2 and len(p.body) <= 200
and (p.body like '%hank%')
and parent.AcceptedAnswerId is null
group by p.parentid
having count(p.id) > 1
order by count(p.id) desc;"
| "2010-07-21 00:14:10"
| false
|
|
7,885
| "A user's posts, non-paged (non-Community Wiki)"
| "A way around paging for a user's posts, questions and answers. A view count of zero means it is an answer.
"
| "SELECT
p.Id as [Post Link],
Score as [Votes],
ViewCount as [Views],
p.CommunityOwnedDate as [CW]
FROM Posts p
WHERE p.OwnerUserId = ##UserId## AND
p.CommunityOwnedDate is null -- Field CommunityOwnedDate is absent for non-CW posts.
ORDER BY ViewCount DESC"
| "2010-07-21 03:43:16"
| false
|
7,888
| "Highest Voted Posts (non-Community Wiki)"
| "Non-CW posts with the highest number of votes. If views is zero then it is an answer.
"
| "WITH the highest number of votes. If views is zero then it is an answer.
SELECT TOP 100
p.Id as [Post Link],
Score as [Votes],
ViewCount as [Views]
FROM Posts p
WHERE p.CommunityOwnedDate is not null AND -- Field CommunityOwnedDate is absent for non-CW posts.
p.OwnerUserId = ##UserId##
ORDER BY Score DESC"
| "2018-08-15 00:42:28"
| false
|
8,030
| "Strunk & White and Copy Editor Progress"
| "Counts the number of edits a user has made."
| "DECLARE @UserId int = ##UserId##
SELECT COUNT(*) FROM Posts
WHERE
PostTypeId = 1 AND
LastEditorUserId = @UserId AND
OwnerUserId != @UserId"
| "2010-07-23 12:54:27"
| false
|
8,105
| "Show the hours of the day a user is most active"
| "Gets the hours in which a user has been active (enables you to see when a user sleeps!)
"
| "WITH hours as
(
select datepart(hh, creationdate) as HoursSeen from posts where owneruserid = ##UserId##
union all
select datepart(hh, creationdate) as HoursSeen from comments where userid = ##UserId##
)
select HoursSeen as Hour, count(*) as Count, '|' + replicate('*', count(*)) as Graph from hours
group by HoursSeen
order by HoursSeen"
| "2010-07-25 02:58:12"
| false
|
8,153
| "Worst Case Scenario, How Long Until the Electorate Badge"
| "These data dumps do not include how many questions I
have voted up or down. So Assuming that none of the votes
I have given are for questions, how many days voting on 30 questions
per day do I have until I get the Electorate badge.
"
| "DECLARE @UserId int = ##UserId##
DECLARE @voteCount int
select @voteCount = u.UpVotes + u.DownVotes
from Users u
where u.Id = @UserId
-- using equivalent of max function given by this answer: http://stackoverflow.com/questions/293804
-- this is used to determine the max days when less than 600 total votes
-- This will give the maximum of 5 days or the amount of days to reach 600
select @voteCount as TotalVotes,
case
when @voteCount < 600 then ceiling(0.5 * ((600 - @voteCount)/30.0 + 5) + ((600 - @voteCount)/30.0 - 5))
when exists(select 1 from Badges where UserId = @UserId and Name = 'Electorate') then 0
else ceiling(@voteCount / (4 * 30.0))
end
as MaxDaysUntilElectorate"
| "2020-07-03 12:58:04"
| false
|
8,164
| "Amount of Bounties for Each Bounty Amount"
| "Shows all bounty values and the amount of bounties for each bounty amount.
"
| "SELECT BountyAmount, count(*) AmountOfBounties
from Votes
where BountyAmount is not null
and BountyAmount > 0
group by BountyAmount
order by BountyAmount desc"
| "2010-07-25 13:00:03"
| false
|
8,196
| "Questions I have answered where asker has not accepted an answer"
| "Lists all questions I have proposed an answer to, but the original question asker hasn't accepted an answer
"
| "SELECT p.Id AS [Post Link], p.AnswerCount
FROM Posts a, Posts p
WHERE a.OwnerUserId = ##UserId##
AND a.PostTypeId = 2
AND p.AcceptedAnswerId IS NOT NULL
AND p.Id = a.ParentId
ORDER BY p.AnswerCount DESC"
| "2017-12-15 04:28:26"
| false
|
8,201
| "What tag wikis can I edit?"
| "List all tags you have a score of 100 for. You also need 2,000 reputation. Remember: tag wikis are located on the tag page under the info tab.
"
| "DECLARE @UserId int = ##UserId##
SELECT
TagName as "You can edit the following tag wikis"
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId
GROUP BY TagName
HAVING count(*) >= 10
ORDER BY TagName DESC"
| "2016-03-30 01:14:16"
| false
|
8,265
| "What tag wikis can I edit? (Corrected to exclude CW posts)"
| "List all tags you have 100 upvotes for. (Excludes CW posts) Remember: tag wikis are located on the tag page under the info tab.
"
| "DECLARE @UserId int = ##UserId##
SELECT
TagName as "You can edit the following tag wikis"
FROM Tags
INNER JOIN PostTags ON PostTags.TagId = Tags.id
INNER JOIN Posts ON Posts.ParentId = PostTags.PostId
INNER JOIN Votes ON Votes.PostId = Posts.Id and VoteTypeId = 2
WHERE
Posts.OwnerUserId = @UserId AND
Posts.CommunityOwnedDate is null
GROUP BY TagName
HAVING count(*) >= 100
ORDER BY TagName DESC"
| "2010-07-27 16:33:09"
| false
|
8,384
| "Users Answer and Question Votes"
| "See the total up and down votes for answers and questions for a given user."
| "DECLARE @userid int = ##UserID##
select
(case
when p.posttypeid = 1 then 'Question'
when p.posttypeid = 2 then 'Answer'
end) as [Post Type],
(case
when v.votetypeid = 2 then 'Up Vote'
when v.votetypeid = 3 then 'Down Vote'
end) as [Vote Type],
count(*) As Votes
from votes v join posts p on v.postid = p.id
where v.votetypeid in (2,3) and v.userid = @userid
group by p.posttypeid, v.votetypeid"
| "2013-09-07 19:21:24"
| false
|
8,394
| "Questions by Tag and Minimum Asker Reputation"
| "Show all questions with the specified tag where the question's asker has at least the specified reputation
"
| "WITH the specified tag where the question's asker has at least the specified reputation
SELECT Posts.Id AS [Post Link], Posts.CreationDate, Users.ID AS [User Link], Users.Reputation
FROM Posts, Users
/*WHERE Posts.Id = PostTags.PostId
AND PostTags.TagId = Tags.Id
AND Tags.TagName = '##TagName##' */
WHERE Posts.OwnerUserId = Users.Id
AND Users.Reputation >= ##MinReputation##
ORDER BY CreationDate DESC;"
| "2012-02-03 06:59:47"
| false
|
8,479
| "Which users have the most favourites?"
| "SELECT
count(v.Id) as UserFaves,
u.Reputation
from Users u
inner Join Votes v on v.UserId = u.Id and v.VoteTypeId = 5
group by u.Id, u.Reputation
order by UserFaves desc"
| "2010-07-29 04:42:56"
| false
|
|
8,553
| "How many edits do I have?"
| "Counts how many edits a user has, broken into Question and Answer edits.
Also shows how close you are to getting each editor badge.
"
| "WITH qaedits AS (
SELECT
(
SELECT COUNT(*) FROM Posts
WHERE PostTypeId = 1
AND LastEditorUserId = Users.Id
) AS QuestionEdits,
(
SELECT COUNT(*) FROM Posts
WHERE PostTypeId = 2
AND LastEditorUserId = Users.Id
) AS AnswerEdits
FROM Users
WHERE Id = ##UserId##
),
edits AS (
SELECT QuestionEdits, AnswerEdits, QuestionEdits + AnswerEdits AS TotalEdits
FROM qaedits
)
SELECT QuestionEdits, AnswerEdits, TotalEdits,
CASE WHEN TotalEdits >= 1 THEN 'Received' ELSE '0%' END AS EditorBadge,
CASE WHEN TotalEdits >= 80
THEN 'Received'
ELSE Cast(TotalEdits AS varchar) + '%'
END AS StrunkAndWhiteBadge,
CASE WHEN TotalEdits >= 500
THEN 'Received'
ELSE Cast(TotalEdits / 5 AS varchar) + '%'
END AS CopyEditorBadge
FROM edits"
| "2015-02-24 09:18:08"
| false
|
8,782
| "Users who post long answers"
| "Statistical summary of users who like to post long answers.
Filters for users above a minimal post count.
"
| "SELECT TOP 2000
Rank = Row_Number() OVER (ORDER BY avg(len(p.Body)) DESC),
UserId = p.OwnerUserId,
Username = Min(u.DisplayName),
Total_Posts = Count(*),
Average_Length_Of_Posts = avg(len(p.Body)),
Total_Length_Of_Posts = sum(len(p.Body)),
Longest_Post = max(len(p.Body)),
Standard_Deviation_Of_Post_Lengths = stdev(len(p.Body)),
Total_Rep = Min(u.Reputation),
Rep_Per_Character = Min(Convert(float, u.Reputation)) / sum(len(p.Body))
FROM Posts p
INNER JOIN Users u ON
u.Id = p.OwnerUserId
WHERE
p.PostTypeId = 2 and u.Id=1094246
GROUP BY
p.OwnerUserId
HAVING
Count(*) >= ##MinimumPostCount##"
| "2018-07-21 11:54:44"
| false
|
9,000
| "Up vs Down votes by day of week of Accepted Answer"
| "SELECT
DATENAME(WEEKDAY, p.CreationDate) AS Day,
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes v JOIN Posts p ON v.PostId=p.AcceptedAnswerId
WHERE
PostTypeId=1 AND p.AcceptedAnswerId IS NOT NULL
AND
VoteTypeId In (2,3)
GROUP BY
DATEPART(WEEKDAY, p.CreationDate), DATENAME(WEEKDAY, p.CreationDate)
ORDER BY
DATEPART(WEEKDAY, p.CreationDate)"
| "2012-05-10 21:11:02"
| false
|
|
9,001
| "Up vs Down votes by hour of day of Accepted Answer"
| "SELECT
DATEPART(HOUR, p.CreationDate) AS Hour,
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes v JOIN Posts p ON v.PostId=p.AcceptedAnswerId
WHERE
PostTypeId = 1 AND AcceptedAnswerId IS NOT NULL
GROUP BY
DATEPART(HOUR, p.CreationDate)
ORDER BY
DATEPART(HOUR, p.CreationDate)"
| "2010-08-04 15:39:16"
| false
|
|
9,003
| "Up vs Down votes by hour of week of Accepted Answer"
| "SELECT
DATENAME(WEEKDAY, p.CreationDate) AS [Day],
DATEPART(HOUR, p.CreationDate) AS [Hour],
Count(*) AS Amount,
SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS UpVotes,
SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS DownVotes,
(CAST(SUM(CASE WHEN VoteTypeId = 2 THEN 1 ELSE 0 END) AS float) / CAST(SUM(CASE WHEN VoteTypeId = 3 THEN 1 ELSE 0 END) AS float)) AS UpVoteDownVoteRatio
FROM
Votes v JOIN Posts p ON v.PostId=p.AcceptedAnswerId
WHERE
PostTypeId = 1 AND AcceptedAnswerId IS NOT NULL
GROUP BY
PostTypeId, DATEPART(WEEKDAY, p.CreationDate), DATENAME(WEEKDAY, p.CreationDate), DATEPART(HOUR, p.CreationDate)
ORDER BY
PostTypeId, --DATEPART(WEEKDAY, p.CreationDate), DATEPART(HOUR, p.CreationDate)
6"
| "2010-08-04 15:56:59"
| false
|
|
9,118
| "Tags: Spelling variants (AE/BE: o/ou)"
| "WITH
PostCounts as (
select
Tags.Id as TagId,
count(Posts.Id) as PostCount
from Posts inner join
PostTags on Posts.Id = PostTags.PostId
inner join
Tags on PostTags.TagId = Tags.Id
group by Tags.Id
),
Variants as (
select *
from (select replace(TagName, 'ou', 'o') as vname, * from tags) as r
where vname != tagname
)
select
Tags.TagName,
tc.PostCount,
Variants.TagName,
vc.PostCount
from
Tags inner join
Variants on Tags.tagName = Variants.vname
inner join
PostCounts tc on Tags.Id = tc.TagId
inner join
PostCounts vc on Variants.Id = vc.TagId
order by vc.PostCount desc;"
| "2010-08-08 19:28:42"
| false
|
|
9,119
| "Tags: Spelling variants (AE/BE: z/s)"
| "WITH
PostCounts as (
select
Tags.Id as TagId,
count(Posts.Id) as PostCount
from Posts inner join
PostTags on Posts.Id = PostTags.PostId
inner join
Tags on PostTags.TagId = Tags.Id
group by Tags.Id
),
Variants as (
select *
from (select replace(TagName, 's', 'z') as vname, * from tags) as r
where vname != tagname
)
select
Tags.TagName,
tc.PostCount,
Variants.TagName,
vc.PostCount
from
Tags inner join
Variants on Tags.tagName = Variants.vname
inner join
PostCounts tc on Tags.Id = tc.TagId
inner join
PostCounts vc on Variants.Id = vc.TagId
order by vc.PostCount desc;"
| "2010-08-08 20:36:31"
| false
|
|
9,300
| "Query for Nerd Dinner Prospects!"
| "Users with certain minimum requirements!
"
| "WITH certain minimum requirements!
select Id as "User Link",
Reputation,LastAccessDate, WebsiteUrl as "Website URL",
Age , Location,
AboutMe as "About me"
from Users
where Location
like '%##location##%'
and Reputation >= ##minimumReputation##
and Age <= ##age##
order by LastAccessDate desc"
| "2010-08-12 23:45:01"
| false
|
9,320
| "Find Stack Overflow Users In Your City (with user-links)"
| "A simply query to find users in your city or country. Added user links to the original version.
"
| "WITH user-links)
-- A simply query to find users in your city or country. Added user links.
select Id [User Link], Reputation, DisplayName, Location
from Users
where Location like '%##Location##%'
order by Reputation desc"
| "2020-11-29 23:44:33"
| false
|
9,412
| "Users with '.com' in their display name"
| "WITH '.com' in their display name
SELECT Id AS [User Link] FROM Users WHERE DisplayName LIKE '%.com'"
| "2020-07-18 22:23:00"
| false
|
|
9,643
| "RANK, parition by id order by value_type"
| "WITH test AS (
SELECT 1 AS id, 'B' AS value_type
UNION ALL
SELECT 1, 'B'
UNION ALL
SELECT 1, 'A'
UNION ALL
SELECT 2, 'A'
UNION ALL
SELECT 2, 'A'),
summary AS (
SELECT t.*,
RANK() OVER (PARTITION BY t.id ORDER BY t.value_type DESC) AS rank
FROM test t)
SELECT *
FROM summary
WHERe rank = 1"
| "2010-08-21 01:19:17"
| false
|
|
9,849
| "Top 100 users by average normalized score"
| "Users who have the highest share in total score received by all answers to the questions they answered
(among users with >100 eligible answers, includes answers with score >=0 and questions with total score of answers >0)
"
| "SELECT TOP 100
u.Id as [User Link], AVG(a.NormalizedScore) as AvgNormalizedScore
FROM Users u JOIN
(SELECT (CAST(a.Score AS float) / SUM(allA.Score)) * 100 AS NormalizedScore,
a.Id, a.OwnerUserId
FROM Posts a
JOIN Posts q ON a.ParentId = q.Id
JOIN Posts allA ON allA.ParentId = q.Id
WHERE a.PostTypeId = 2
and a.Score >= 0 and allA.score > 0
GROUP BY a.Id, a.OwnerUserId, a.Score
HAVING SUM(allA.Score) > 0) a
ON a.OwnerUserId = u.Id
GROUP BY u.Id
HAVING COUNT(a.Id) > 100
ORDER BY AvgNormalizedScore DESC"
| "2010-08-25 13:57:03"
| false
|
9,900
| "Distribution of scores on my answers"
| "Shows how often a user's answers get a specific score. Related to http://odata.stackexchange.com/stackoverflow/q/1930
"
| "DECLARE @totalAnswers DECIMAL
SELECT @totalAnswers = COUNT(*) FROM posts WHERE posttypeid = 2 AND owneruserid = ##UserId## AND creationdate > ##postStart:string?2020-01-01## AND DeletionDate is null
SELECT score AS AnswerScore, Occurences,
CASE WHEN Frequency < 1 THEN '<1%' ELSE Cast(Cast(ROUND(Frequency, 0) AS INT) AS VARCHAR) + '%' END AS Frequency
FROM (
SELECT score, COUNT(*) AS Occurences, (COUNT(*) / @totalAnswers) * 100 AS Frequency
FROM posts
WHERE posttypeid = 2 -- answers
AND owneruserid = ##UserId## -- by you
AND creationdate > ##postStart:string?2020-01-01##
AND DeletionDate is null
GROUP BY score
) AS answers
ORDER BY answers.Frequency DESC, Score"
| "2020-10-11 20:40:02"
| false
|
9,919
| "Best hour of the day to ask a question"
| "Which UTC hour of the day gets the most accepted answers
"
| "SELECT
DATEPART(hh, CreationDate), COUNT(*) FROM Posts
WHERE PostTypeId = 2
AND ID in (
SELECT AcceptedAnswerID FROM Posts WHERE AcceptedAnswerID IS NOT NULL
)
GROUP BY DATEPART(hh, CreationDate)
ORDER BY 2 DESC"
| "2010-08-26 09:02:56"
| false
|
10,075
| "How popular is tag X?"
| "List the number of questions tagged with X.
"
| "DECLARE @Name AS varchar(100) = '##TagName##'
SELECT Tags.TagName AS Name, count(*) AS Total
FROM Tags JOIN PostTags ON PostTags.TagId = Tags.Id
WHERE Tags.TagName = @Name
GROUP BY Tags.TagName
ORDER BY Total DESC"
| "2015-12-14 03:00:24"
| false
|
10,121
| "Accounts with my e-mail hash"
| "Find all accounts with an e-mail hash equal to mine.
"
| "SELECT COUNT(*)
FROM Users
WHERE EmailHash IS NOT NULL"
| "2014-07-28 14:30:50"
| false
|
10,243
| "Top 50 Biggest Favorite Lists"
| "Shows the top 50 post favoriters, so that you can browse all those favorites.
"
| "SELECT TOP 50
Id AS [User Link],
(
SELECT COUNT(*) FROM Votes
WHERE
VoteTypeId = 5 AND
UserId = Users.Id
) AS Favorites
FROM Users
ORDER BY Favorites DESC"
| "2010-09-04 06:16:57"
| false
|
10,386
| "Users With the Highest Quality Posts (filter reputation)"
| "Enter the minimum reputation that a user must have, and this will show the
users who have the highest reputation per post in that group.
"
| "DECLARE @MinRep int = ##MinReputation##
SELECT
Id AS [User Link],
Reputation,
(SELECT COUNT(*)
FROM posts
WHERE posts.OwnerUserId = Users.Id
) AS [# Posts],
Reputation /
(SELECT COUNT(*)
FROM posts
WHERE posts.OwnerUserId = Users.Id
) AS [Rep Per Post]
FROM Users
WHERE Reputation > @MinRep
ORDER BY [Rep Per Post] DESC"
| "2010-09-05 09:22:33"
| false
|
10,392
| "Your Posting Quality (Reputation per Posts)"
| "Enter your user ID and find out how much rep you earn per post
"
| "SELECT TOP 2000
ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS [rank],
Id AS [User Link],
Id,
Reputation,
counts.[# Posts],
Reputation /
counts.[# Posts] AS [Rep Per Post]
FROM Users
CROSS APPLY (
SELECT COUNT(*)
FROM posts
WHERE posts.OwnerUserId = Users.Id
) counts([# Posts])
WHERE counts.[# Posts] > 0
ORDER BY [Rep Per Post] DESC"
| "2020-01-29 16:20:52"
| false
|
10,437
| "Users With the Highest Quality Posts (filter num posts)"
| "Enter the minimum number of posts that a user must have, and this will show the
users who have the highest reputation per post in that group.
"
| "WITH the Highest Quality Posts (filter num posts)
-- Enter the minimum number of posts that a user must have, and this will show the
-- users who have the highest reputation per post in that group.
SELECT
Id AS [User Link],
Reputation,
Reputation * 1.0 / C.Cnt AS [Rep Per Post]
FROM
Users U
INNER JOIN (
SELECT OwnerUserId, Cnt = Count(*)
FROM posts
GROUP BY OwnerUserID
HAVING Count(*) >= ##MinNumberOfPosts##
) C ON U.Id = C.OwnerUserId
ORDER BY [Rep Per Post] DESC"
| "2010-09-06 03:31:04"
| false
|
10,747
| "How many votes do I receive per answer?"
| "On average, how many upvotes do I receive for each answer I give?
"
| "DECLARE @UserID int = ##UserId##;
WITH VotesOnPosts AS (
SELECT v.Id AS VoteId
, p.Id AS PostId
, p.PostTypeId AS PostTypeId
, p.OwnerUserId AS UserId
, vt.Name AS VoteTypeName
FROM Votes v
INNER JOIN Posts p ON v.PostId = p.Id
INNER JOIN VoteTypes vt ON v.voteTypeId = vt.Id
)
, Answers AS (SELECT OwnerUserId AS UserId, Id AS PostId FROM Posts WHERE PostTypeId = 2)
, Counts AS (
SELECT
(SELECT COUNT(*) FROM VotesOnPosts WHERE VoteTypeName = 'UpMod' AND UserId = @UserID AND PostTypeId = 2) AS TotalUpVotes,
(SELECT COUNT(*) FROM Answers WHERE UserId = @UserID) AS TotalAnswers
)
SELECT TotalUpVotes, TotalAnswers, (CAST(TotalUpVotes AS float) / TotalAnswers) AS VotesPerAnswer FROM Counts"
| "2010-09-11 02:59:15"
| false
|
End of preview (truncated to 100
rows)
Dataset Card for SEDE
Dataset Summary
SEDE (Stack Exchange Data Explorer) is a dataset for Text-to-SQL tasks with more than 12,000 SQL queries and their natural language description. It's based on a real usage of users from the Stack Exchange Data Explorer platform, which brings complexities and challenges never seen before in any other semantic parsing dataset like including complex nesting, dates manipulation, numeric and text manipulation, parameters, and most importantly: under-specification and hidden-assumptions.
Supported Tasks and Leaderboards
parsing: The dataset can be used to train a model for Text-to-SQL task. A Seq2Seq model (e.g. T5) can be used to solve the task. A model with more inductive-bias (e.g. a model with a grammar-based decoder) or an interactive settings for Text-to-SQL (https://arxiv.org/abs/2005.02539) can improve the results further. The model performance is measured by how high its PCM-F1 score is. A t5-large achieves a PCM-F1 of 50.6.
Languages
The text in the dataset is in English. The associated BCP-47 code is en.
Dataset Structure
Data Instances
A typical data point comprises a question title, (optionally) a description and its underlying SQL query. In addition, each sample has a unique ID (from the Stack Exchange Data Explorer), its creation date and a boolean flag named validated if this sample was validated to be in gold quality by humans, see the paper for full details regarding the validated flag.
An instance for example:
{
'QuerySetId':1233,
'Title':'Top 500 Askers on the site',
'Description':'A list of the top 500 askers of questions ordered by average answer score excluding community wiki closed posts.',
'QueryBody':'SELECT * FROM (\nSELECT \n TOP 500\n OwnerUserId as [User Link],\n Count(Posts.Id) AS Questions,\n CAST(AVG(CAST(Score AS float)) as numeric(6,2)) AS [Average Question Score]\nFROM\n Posts\nWHERE \n PostTypeId = 1 and CommunityOwnedDate is null and ClosedDate is null\nGROUP BY\n OwnerUserId\nORDER BY\n Count(Posts.Id) DESC\n)ORDER BY\n [Average Question Score] DESC',
'CreationDate':'2010-05-27 20:08:16',
'validated':true
}
Data Fields
- QuerySetId: a unique ID coming from the Stack Exchange Data Explorer.
- Title: utterance title.
- Description: utterance description (might be empty).
- QueryBody: the underlying SQL query.
- CreationDate: when this sample was created.
- validated:
trueif this sample was validated to be in gold quality by humans.
Data Splits
The data is split into a training, validation and test set. The validation and test set contain only samples that were validated by humans to be in gold quality.
Train Valid Test 10309 857 857
Dataset Creation
Curation Rationale
Most available semantic parsing datasets, comprising of pairs of natural utterances and logical forms, were collected solely for the purpose of training and evaluation of natural language understanding systems. As a result, they do not contain any of the richness and variety of natural-occurring utterances, where humans ask about data they need or are curious about. SEDE contains a variety of real-world challenges which were rarely reflected so far in any other semantic parsing dataset. There is a large gap between the performance on SEDE compared to other common datasets, which leaves a room for future research for generalisation of Text-to-SQL models.
Source Data
Initial Data Collection and Normalization
To introduce a realistic Text-to-SQL benchmark, we gather SQL queries together with their titles and descriptions from a naturally occurring dataset: the Stack Exchange Data Explorer. Stack Exchange is an online question & answers community, with over 3 million questions asked. However in its raw form many of the rows are duplicated or contain unusable queries or titles. The reason for this large difference between the original data size and the cleaned version is that any time that the author of the query executes it, an entry is saved to the log. To alleviate these issues, we write rule-based filters that remove bad queries/descriptions pairs with high precision. For example, we filter out examples with numbers in the description, if these numbers do not appear in the query (refer to the preprocessing script in the repository for the complete list of filters and the number of examples each of them filter). Whenever a query has multiple versions due to multiple executions, we take the last executed query which passed all filters. After this filtering step, we are left with 12,309 examples. Using these filters cleans most of the noise, but not all of it. To complete the cleaning process, we manually go over the examples in the validation and test sets, and either filter-out wrong examples or perform minimal changes to either the utterances or the queries (for example, fix a wrong textual value) to ensure that models are evaluated with correct data. The final number of all training, validation and test examples is 12,023.
Who are the source language producers?
The language producers are Stack Exchange Data Explorer (https://data.stackexchange.com/) users.
Annotations
Annotation process
[N/A]
Who are the annotators?
[N/A]
Personal and Sensitive Information
All the data in the dataset is for public use.
Considerations for Using the Data
Social Impact of Dataset
We hope that the release of this challenging dataset will encourage research on improving generalisation for real-world SQL prediction that will help non technical business users acquire the data they need from their company's database.
Discussion of Biases
[N/A]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
The dataset was initially created by Moshe Hazoom, Vibhor Malik and Ben Bogin, during work done at Ruper.
Licensing Information
Apache-2.0 License
Citation Information
@misc{hazoom2021texttosql,
title={Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data},
author={Moshe Hazoom and Vibhor Malik and Ben Bogin},
year={2021},
eprint={2106.05006},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contributions
Thanks to @Hazoom for adding this dataset.
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