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added decimal type#54

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ExpandingMan wants to merge 3 commits intoJuliaDatabases:masterfrom
ExpandingMan:decimals
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added decimal type#54
ExpandingMan wants to merge 3 commits intoJuliaDatabases:masterfrom
ExpandingMan:decimals

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This fixes #53 by adding support for decimal types via Decimals.jl.

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codecov-io commented Nov 21, 2019

Codecov Report

Merging #54 into master will increase coverage by 0.29%.
The diff coverage is 75%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #54      +/-   ##
==========================================
+ Coverage   69.07%   69.37%   +0.29%     
==========================================
  Files           3        3              
  Lines         152      160       +8     
==========================================
+ Hits          105      111       +6     
- Misses         47       49       +2
Impacted Files Coverage Δ
src/tables.jl 74.28% <ø> (ø) ⬆️
src/JDBC.jl 70.51% <75%> (+0.51%) ⬆️

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# JDBC_COLTYPE_DATALINK => 70,
JDBC_COLTYPE_DATE => getDate,
JDBC_COLTYPE_DECIMAL => getFloat,
JDBC_COLTYPE_DECIMAL => getBigDecimal,
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So one of the reasons I hadn't implemented this yet is the fear that doing things this way means every numeric field is now Decimal object, which is hundreds of time slower. Even columsn with small or low precision numbers. Should I not worry about that?

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I was also concerned about just what the meaning was of NUMERIC. As far as I can tell, NUMERIC really does mean decimal, and not float, see here. Even if this is true, it doesn't mean there aren't lots of places where people have carelessly declared fields that should be floats as NUMERIC, but not much we can do about that I suppose.

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Note that it might be worth considering using DecFP.jl instead of Decimals.jl, even though technically Decimals is the right package to use because it is arbitrary precision as BigDecimal claims to be. The reason is just that Decimal seems like it is probably ungodly slow. It even seemingly itroduces type instability for no reason (Decimal has Integer fields).

Another concern is that I didn't find a good way to convert between Java's BigDecimal and Julia's Decimal. Right now this is being done with strings which is just awful. I really should dig into this a bit more, it will take some experimenting with BigDecimal. You might not want to merge this unless there is some better solution for converting the types.

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JDBC.coltypes chooses the wrong type for NUMBER(10,0) columns on Oracle 11g database

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