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Message #02197
Re: The future of Dynamic Columns
Hi
I agree that EAV is a pain in the ass. Having several very similar tables that represent flavors of the same "parent entity" is a pain too. Dynamic Columns are logically simple.
I think that the problem is that people don't really know them. And if one tries to explore them, he finds a syntax that is not really easy. Also they are slow, unless you index them, but indexing a dynamic column is not easy - also, requires more space than a normal index, because you are supposed to create a persistent column first.
I don't have any suggestions, except that importing data from JSON would be easier and probably useful (something like a JSON_TO_DYNCOL function).
Regards
Federico
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Gio 29/1/15, Adam Scott <adam.c.scott@xxxxxxxxx> ha scritto:
Oggetto: Re: [Maria-discuss] The future of Dynamic Columns
A: "Oleksandr Byelkin" <sanja@xxxxxxxxxxxxxxxx>
Cc: "Maria Discuss" <maria-discuss@xxxxxxxxxxxxxxxxxxx>
Data: Giovedì 29 gennaio 2015, 02:20
Just wanted to add, any application
that wants to store forms data without having to create a
new table every time you create a new form could benefit
from dynamic columns.
In the database design world, any design
that is of the EAV (Entity-Attribute-Value) style would
benefit from dynamic columns. Having to extract and
analyze EAV tables, for the developer, is tricky and
burdensome. This model seems to show up in the
literature first in Medical settings and is used in basic
science research as well. (see http://en.wikipedia.org/wiki/Entity%E2%80%93attribute%E2%80%93value_model)
For those that need it,
dynamic columns is powerful and makes life much easier.
Unfortunately, often those that need dynamic columns do not
know it exists. If they did, they would jump for joy.
Adam
On Wed, Jan 28, 2015 at
3:41 PM, Oleksandr Byelkin <sanja@xxxxxxxxxxxxxxxx>
wrote:
Hi,
Tom!
On 28.01.15 23:01, Tom Worster wrote:
While functions for getting and setting via json might be
useful, I think they are peripheral to the core datatype
problem here.
The interface to dynamic columns in Maria is SQL. The
internal datatypes are SQLish. We can be completely sure of
what was set, in SQL terms, by a COLUMN_CREATE(). But if we
use a JSON getter then we might get something different
because JSON datatypes don't match SQL datatypes.
Sometimes it's no problem but not in general -- depends
on the datatypes involved and the application's
tolerance of differences.
AFAIK we lack only boolean type and arrays (could be
emulated now but you can't say if it is array or object
with numeric keys) to fit json types.
column_create/alter do not require type (detect
automatically), so type there can be mentioned to enforce
some encoding you want (store dates as dates but not
string)
column_get() require type of output, if you do not care use
CHAR. But this is required by SQL expression implementation.
There is json output which do not need type of columns.
What's missing is a getter that tells us the value and
datatype of a dynamic column, a getter that tells us what
was set.
What if we had a getter that returns a string like:
COLUMN_GET_SQL(`product`, 'price')
>> "CAST(123.456 AS DECIMAL(11,3))"
And Maria promises us that we could use that expression to
write the value back and the result will be the exact same
thing. A sort of idempotency promise (kinda).
This doesn't make the interface any less clunky (on the
contrary) but I have resigned myself to a clunky interface.
The only alternative is to forget all this and start
something different. SQL is an insanely clunky old language
and that's why we use some kind of abstraction software
to make it nicer. If we're going to use SQL we may as
well try to use what's there.
Something like this COLUMN_GET_SQL() would at least allow
the application the possibility to get back what it put
in.
I am not sure that I understand what you need. Is it ability
to know internal storage type?
[skip]
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