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Simplifying SQL Statement

Does anyone know if this is particularly inefficient and can be simplified to improve efficiency?

 
SELECT DISTINCT c.chartid FROM Chart c, Series s, SeriesLinkData sd, Data_Bloomberg bb
WHERE c.chartID = s.chartID And s.seriesID = sd.seriesID  And sd.DataID = bb.DataID
AND ( bb.Name LIKE '*Gluck*' OR bb.BbSymbol LIKE '*Gluck*' OR bb.BbType LIKE '*Gluck*' OR bb.BbName LIKE '*Gluck*' )
UNION
SELECT DISTINCT c.chartid FROM Chart c, Series s, SeriesLinkData sd, Data_LocalDB db
WHERE c.chartID = s.chartID And s.seriesID = sd.seriesID  And sd.DataID =db.DataID
AND ( db.Name LIKE '*Gluck*' OR db.DbDomain LIKE '*Gluck*' OR db.DbTag LIKE '*Gluck*' )
UNION
SELECT DISTINCT c.chartid FROM Chart c, Series s, SeriesLinkData sd
WHERE c.chartID = s.chartID And s.seriesID = sd.seriesID 
AND ( c.Title LIKE '*Gluck*' OR sd.Name LIKE '*Gluck*' OR sd.DbCriteria LIKE '*Gluck*' OR sd.BbField LIKE '*Gluck*' )

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0
billelev
Asked:
billelev
3 Solutions
 
daddotnetCommented:
Try each of the queries separately, getting a query plan if you're able, and find out if it's one or more of them is causing performance issues that you can target specifically.

If you are able to create indexes on the tables, create them using the fields you're joining on as unique indexes (if applicable). If indexes already exist, ensure you're using all fields in the primary/foreign keys that apply to all tables in your joins.

If you are dealing with very large sets of data, run preprocessing queries to pull the data you're interested in (by date range, for example) into temporary tables then run your output queries against those temporary tables.

-DdN
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rushShahCommented:
hi try this query..

SELECT		DISTINCT c.chartid 
FROM		Chart c
INNER JOIN	Series s ON c.chartID = s.chartID
INNER JOIN	SeriesLinkData sd ON s.seriesID = sd.seriesID
LEFT JOIN	Data_Bloomberg bb ON sd.DataID = bb.DataID
LEFT JOIN	Data_LocalDB db ON sd.DataID =db.DataID
WHERE		( bb.Name LIKE '*Gluck*' OR bb.BbSymbol LIKE '*Gluck*' OR bb.BbType LIKE '*Gluck*' 
			OR bb.BbName LIKE '*Gluck*' )
			OR ( db.Name LIKE '*Gluck*' OR db.DbDomain LIKE '*Gluck*' OR db.DbTag LIKE '*Gluck*' )
			OR (c.Title LIKE '*Gluck*' OR sd.Name LIKE '*Gluck*' OR sd.DbCriteria LIKE '*Gluck*' 
			OR sd.BbField LIKE '*Gluck*')

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Bhavesh ShahLead AnalysistCommented:

One change in above query.
use INNER JOIN instead of LEFT OUTER JOIN.

secondly,
in your third union, u use c.Title LIKE '*Gluck*' so in above query that will be common.is this ok?

third point is Chart c, Series s are common.
so u can make accss query of that two and then join with other table.
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Bhavesh ShahLead AnalysistCommented:

regards to my 3rd comment

-------------------------------------------------------

Save below is access query - ChartData

SELECT      c.chartid,c.Title,s.seriesID,sd.DataID,sd.Name,sd.DbCriteria,sd.BbField
FROM
            Chart c INNER JOIN Series s
ON c.chartID = s.chartID INNER JOIN SeriesLinkData sd
ON s.seriesID = sd.seriesID

Your Main Query will be

SELECT C.Chartid
FROM
      ChartData C, Data_Bloomberg bb, Data_LocalDB db
WHERE
      C.DataID = bb.DataID
AND C.DataID =db.DataID
AND
 ( bb.Name LIKE '*Gluck*' OR bb.BbSymbol LIKE '*Gluck*' OR bb.BbType LIKE '*Gluck*' OR bb.BbName LIKE '*Gluck*' )
OR ( db.Name LIKE '*Gluck*' OR db.DbDomain LIKE '*Gluck*' OR db.DbTag LIKE '*Gluck*' )
OR (c.Title LIKE '*Gluck*' OR sd.Name LIKE '*Gluck*' OR sd.DbCriteria LIKE '*Gluck*' OR sd.BbField LIKE '*Gluck*')
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irenetheodoraCommented:
SELECT DISTINCT c.chartid
  FROM Chart c
left join Series s
        on c.chartID = s.chartID
left join SeriesLinkData sd
        on s.seriesID = sd.seriesID
left join Data_Bloomberg bb
        on sd.DataID = bb.DataID
left join Data_LocalDB db
        on sd.DataID =db.DataID

WHERE  bb.Name LIKE '*Gluck*'
      OR bb.BbSymbol LIKE '*Gluck*'
      OR bb.BbType LIKE '*Gluck*'
      OR bb.BbName LIKE '*Gluck*'
      OR c.Title LIKE '*Gluck*'
      OR sd.Name LIKE '*Gluck*'
      OR sd.DbCriteria LIKE '*Gluck*'
      OR sd.BbField LIKE '*Gluck*'
      OR db.Name LIKE '*Gluck*'
      OR db.DbDomain LIKE '*Gluck*'
      OR db.DbTag LIKE '*Gluck*'
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amarsaleCommented:
put a join first on the tables which have less number of rows.
0
 
billelevAuthor Commented:
no
0
 
Bhavesh ShahLead AnalysistCommented:
No means?
u didnt get solution?
0

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