Using data explorer to create queries:
SELECT P.id, creationdate,tags,owneruserid,answercount
--SELECT DISTINCT TAGNAME ,TAGID
FROM TAGS AS T
JOIN POSTTAGS AS PT
ON T.ID = PT.TAGID
JOIN POSTS AS P
ON PT.POSTID = P.ID
--WHERE CAST(P.TAGS AS VARCHAR) IN('JAVA')
WHERE PT.TAGID = 3143
How is it possible to add pagination in the query in order to take not only the first 50,000 results, but then run the query again to take the next remaining results?
There are a few ways to "page" through TSQL results; see:
- How to return a page of results from SQL?
and
- SQL performance: WHERE vs WHERE(ROW_NUMBER)
Here I will use the CTE method as:
- It uses convenient row numbers to page through results, rather than trying to track less predictable factors such as
creationdate
.
- It reportedly performs faster than the
OFFSET
method.
So, that question's query becomes this SEDE query:
-- StartRow: Starting row for paging
-- EndRow: Ending row for paging (Max 50K rows at a time)
WITH allData AS (
SELECT
ROW_NUMBER() OVER (ORDER BY P.creationdate) AS row
, P.id
, P.creationdate
, P.tags
, P.owneruserid
, P.answercount
FROM Posttags AS PT
JOIN Posts AS P ON PT.postid = P.id
WHERE PT.tagid = 3143 -- tag [scala]
)
SELECT *
FROM allData
WHERE row >= ##StartRow:INT?1##
AND row <= ##EndRow:INT?50000##
ORDER BY row