ado.net - Double value changed after transmitting it via .NET remoting -


i have application uses ado.net datasets , data adapters in combination remoting (client/server architecture, transmitting datasets via remoting).

i face following issue:

tl;dr: double value 44.850000925362000 turns 44.850000925362004 after sending dataset via remoting server.

i create new row in database saving dataset, contains float column (mapped double in dataset). double value saved 44.850000925362

i read row database (dataadapter.fill) , same value (checked bitconverter.doubletoint64). dataset passes via remoting client , merged usecase dataset on client. still retaining same value.

this dataset merged usecase-dataset, row imported different table (because read view, saved table) , value changed before transmitting usecase-dataset (now containing row in other table).

on client-side value still same - dataset reaches server, value in question different (although no changes made specific column - still unchanged , original value different).

example: save 44.850000925362000 read 44.850000925362000 merge, import, modify row - still 44.850000925362000 send server saving, 44.850000925362004 on server!

...which causes concurrencyexception because record saved 44.850000925362000 - data adapter update uses 44.850000925362004 in where condition (optimistic concurrency).

nobody else touched row in between.

update

i tried setting test server , works fine there. funny thing is: same assembly works fine if use in different service. can't find in config or startup explain this. i'm using binary formatter on both, both .net 4.0, both use same sourcecode... 1 behaves different other.

further update

i captured sql statement being executed update. if run parameters where clause in select statement, fetches correct record. when manually (via sql management studio), accepts small delta between value in row , value give condition. still, doesn't work @ when running update via adapter.

anyway, i've given up. i've resorted rounding 5 digits - way more precision need in usecase anyway. might yield weird results if number gets large don't expect in use case (we're talking weight in kilograms).

i can tell happening here. not sure why, though:

if interpret bits of 44.850000925362000 , 44.8500009253620004 int64 values of 4631508893792468976 , 4631508893792468977.

as can see, second value first 1 incremented one.

so, looks someone, somewhere interprets double value int64 , increments - maybe indicate new version of row, because modified it.


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