10 Words Likely To Get Post Closed as Non-Constructive - Too Slow

1

Please login or register to vote for this query.

(click on this box to dismiss)

This is a newer query to return the list of words that have the highest ratio of being used in 'closed as non-constructive' vs all posts. Although I've tried two different methods of splitting, the sheer amount of data and my rustiness with SQL optimization is causing all the methods I have tried to timeout, even when doing a pre-query for just words in closed posts. Currently running most recent 25% of posts and sorting by ratio desc, so words with largest chance of being closed.

Stack Overflow

Q&A for professional and enthusiast programmers

CREATE TABLE #Numbers ( n int NOT NULL );
INSERT INTO #Numbers
SELECT TOP 250 ROW_NUMBER() OVER (Order By Id) FROM Posts;

CREATE TABLE #Titles (Title varchar(250) NOT NULL, Closed bit NOT NULL );

INSERT INTO #Titles (Title, Closed)
SELECT TOP 250000
' ' + LOWER(Replace(Replace(Replace(Replace(Replace(Replace(Replace(Replace(Replace(CAST(P.Title as varchar), ',', ' '), '?', ''), '  ',' '), '/', ''), ':', ''), '"', ''), '(', ''), ')', ''), '''', '')) + ' ', 
       CASE WHEN PH.id IS NOT NULL THEN 1 ELSE 0 END
FROM Posts P
   LEFT JOIN PostHistory PH ON PH.PostId = P.Id AND PH.Comment = '3'
WHERE P.Title IS NOT NULL;

CREATE TABLE #WordFrequency ( Word varchar(250) NOT NULL, TotalNum int NOT NULL, NumClosed int NOT NULL);

WITH TitleWords (Word, Closed) AS (
      SELECT 
             SubString(Title, n + 1 , CHARINDEX(' ', Title, n + 1) - n ),
             Closed
      FROM #Titles T
         INNER JOIN #Numbers N ON SUBSTRING(T.Title, N.n, 1) = ' '
      WHERE N.n < LEN(T.Title) - 1
)
INSERT INTO #WordFrequency(Word, TotalNum, NumClosed)
SELECT TW.Word, 
       COUNT(*),
       SUM(CAST(Closed AS int))
FROM TitleWords TW
WHERE TW.Word <> ''
GROUP BY TW.Word;

SELECT TOP 10
       Word
     , TotalNum
     , NumClosed
     , 1.0 * NumClosed/TotalNum AS Ratio
FROM #WordFrequency
ORDER BY 1.0 * NumClosed/TotalNum DESC, NumClosed DESC;

DROP TABLE #WordFrequency;
DROP TABLE #Titles;
DROP TABLE #Numbers;

Enter Parameters

Options:
Switch sites:
loading Hold tight while we fetch your results