Sync Of Binary Columns In SQL 2005 EV And SQL 2005 EX

Jul 5, 2006

Hi.

I'm working on an application that will use SQL Server 2005 Everywhere Edition for single user installations (i.e. notebooks) and SQL Server 2005 Express Edition for network installations. The single user databases will synchronize with the network databases.

The databases will have to store a large number of documents of different kinds, most of them will be less than 200 KB in size. According to the SQL Server 2005 Express Edition documentation, I should avoid using the IMAGE data type and opt for VARBINARY(MAX) instead. The current version CTP of SQL Server 2005 Everywhere Edition does not support VARBINARY(MAX) (the maximum size is 8000 bytes).

Will the final version of SQL Server 2005 Everywhere Edition support VARBINARY(MAX)? Or should I use the IMAGE data type in both schemas or IMAGE in the SQL Server 2005 Everywhere Edition database and VARBINARY(MAX) in the SQL Server 2005 Express Edition database?

Do I have to consider anything special when the databases are synchronized via replication because of the large number of rows with binary fields?


Regards,

Gerrit

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Server is SQL 2000

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example as follows

TableA

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aaa 002 <some binary value>
aaa 003 <some binary value>
aaa 004 <some binary value>
aaa 005 <some binary value>

desired results in TableB

Column1 Column2
aaa <concatenated value of above binary columns>

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I have been pulling my hair out on this.



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Here is some of my code:






Code Snippet

ALTER PROCEDURE [dbo].[sp_SelectAppointments] @PID VarChar(50)



AS

BEGIN

--set @PID = 0x00000000000000B1

--PLEASE NOTE HERE THAT THE ABOVE VALUE(WHEN UNCOMMENTED) RETURNS RECORDS

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END



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Code Snippet

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as an example this is what i want if you can decipher that
















2005
2006
Growth
2005 Year to Date
2006 Year to Date
Year to Date Growth




turnover
gross profit
turnover
gross profit
turnover
gross profit
turnover
gross profit










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75300
280200
84100
11.85629
11.686587
250500
75300










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205000
67950
190350
59900
-7.14634
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455500
143250
take the month above and add the
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217670
70540
234200
78000
7.594064
10.57556
673170
213790










Apr
270780
84000
290400
93000
7.245735
10.714286
943950
297790










May
265000
79260
289050
90200
9.075472
13.802675
1208950
377050










Jun
277300
81050
277900
82000
0.216372
1.172116
1486250
458100










Jul


























Aug


























Sep


























Oct


























Nov


























Dec



























Here is my Query:

SELECT /*DT.[YEAR],*DT.[MONTH],*DT.MONTH_NAME,*/ DC.CLIENT_KEY, (select SUM(FT.Cost)where dt.[year] = 2005) AS COST , (select SUM(FT.Price)where dt.[year] = 2005)AS SALES,(select SUM(FT.Cost) where dt.[year] = 2006),(select SUM(FT.Price) where dt.[year] = 2006)--, SUM(FT.QTY) AS QUANTITY, SUM(FT.PRICE) - SUM(FT.COST) AS GP,(SUM(FT.PRICE) - SUM(FT.COST)) / SUM(FT.PRICE) * 100 AS GP_PERCENTAGEFROM FACT_TRANSACTION FT, DIM_TIME DT, DIM_CLIENT DC, DIM_INVOICE_TYPE DIT, DIM_PRODUCT DPWHERE FT.TIME_KEY = DT.TIME_KEYAND FT.PRODUCT_KEY = DP.PRODUCT_KEYAND FT.CLIENT_KEY = DC.CLIENT_KEYAND FT.TYPE_KEY = DIT.TYPE_KEY AND DIT.TYPE_KEY NOT IN (5,6,13,14,15,16,17)AND DC.CLIENT_SERIALNO = '86634'--AND DT.[YEAR] IN(2005,2006)AND DT.[MONTH] IN(1,2,3,4,5,6,7,8,9,10,11,12)AND DP.PRODUCT_KEY <> 1668684GROUP BY DT.[YEAR],DC.CLIENT_KEY--, DT.[MONTH]ORDER BY /*DT.[YEAR],*/DT.[MONTH]
but it returns everything under one another

2005 1 January 2005 3 296092.3431 405263.62 12811 109171.2769 26.93
2005 2 February 2005 3 318597.658 432098.17 13220 113500.512 26.26
2005 3 March 2005 3 371327.721 506481.46 15283 135153.739 26.68
2005 4 April 2005 3 371647.994 504713.99 15491 133065.996 26.36
2005 5 May 2005 3 400870.6138 542759.57 16296 141888.9562 26.14
2005 6 June 2005 3 399673.0086 546110.59 16607 146437.5814 26.81
2005 7 July 2005 3 390477.7521 535531.40 16153 145053.6479 27.08
2005 8 August 2005 3 380628.57 520281.87 15800 139653.30 26.84
2005 9 September 2005 3 340949.8849 471861.17 14820 130911.2851 27.74
2005 10 October 2005 3 340240.804 470007.78 14444 129766.976 27.60
2005 11 November 2005 3 349156.1871 481193.61 14523 132037.4229 27.43
2005 12 December 2005 3 346038.5059 477011.72 14865 130973.2141 27.45
2006 1 January 2006 3 340062.1369 470010.08 14037 129947.9431 27.64
2006 2 February 2006 3 328463.9689 452404.79 13996 123940.8211 27.39
2006 3 March 2006 3 375264.977 517800.27 16065 142535.293 27.52
2006 4 April 2006 3 412708.965 567014.52 17550 154305.555 27.21
2006 5 May 2006 3 446973.4231 606476.26 18920 159502.8369 26.29
2006 6 June 2006 3 406072.4943 544634.77 17053 138562.2757 25.44
2006 7 July 2006 3 389104.6316 526091.14 16228 136986.5084 26.03
2006 8 August 2006 3 317810.4531 431530.58 13641 113720.1269 26.35
2006 10 October 2006 3 405230.7083 549310.72 17151 144080.0117 26.22
2006 11 November 2006 3 379788.6645 514554.14 15917 134765.4755 26.19
2006 12 December 2006 3 393235.0906 531582.69 16924 138347.5994 26.02

If i do get them split then it put every year's value on a different line

2005   1234123.34    32432432.43   NULL   NULL
2006   NULL               NULL           12312.212   15235453.21

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