Jonathan, thanks a ton.
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Jonathan,
Thanks but output_batch is a* list* of dictionaries. So ultimately, it is a
list. Its elements are the dictionaries containing the key - value pairs
i.e. column name : column value . Therefore the order of the *list* should
be preserved.
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Sorry, hadn't finished my morning coffee and this "registered" as a dict
ordering.
Without seeing code, it's hard to understand what is going on. Here's my
guess:
* When you call the insert(), the `output_batch` is inserted into the DB in
that order. This is expected and you should see that
Python dictionars do not preserve the order.
You could try using an
OrderedDict https://docs.python.org/2/library/collections.html
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Thanks guys. I'll add an id column and order by it.
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On 12/04/2015 01:55 PM, Nana Okyere wrote:
> Much thanks.
> I think you may have hinted on something about the order in which the
> database returns rows. I thought that it always returns the rows in the
> order they were inserted. From what you're saying, that's a wrong
> assumption. So to
Yeah, you need an "id" field to do that and "ORDER BY" it. It's a
benefit/limitation of SQL -- save time by giving random rows, or spend time
sorting them.
Something that you should be wary of though...
If you do this:
INSERT INTO table (id) values (1,2,3,4...10);
Your select would be:
Much thanks.
I think you may have hinted on something about the order in which the
database returns rows. I thought that it always returns the rows in the
order they were inserted. From what you're saying, that's a wrong
assumption. So to give you a little more info, the data being written to
