RelDataType.isNullable() returns true if and only if the type is optional.

> On Feb 22, 2016, at 7:28 PM, Homer <[email protected]> wrote:
> 
> Julian,
> 
> Thanks for the quick response.
> 
> Sorry but I don't seem to see how I make the column optional.  I am looking 
> at RelDataType and don't see anything that springs out at me.  Am I way off 
> the mark?
> 
> thanks
> 
> On 2016-02-22 06:31 PM, Julian Hyde wrote:
>> I think if you make the column optional the validator will let you omit it 
>> from the INSERT. (It’s not really optional, but it has a default value, 
>> which is similar.)
>> 
>> And you’ll need to provide a different value for 
>> SqlToRelConverter.defaultValueFactory so that the column gets populated with 
>> the correct expression. See the changes I made to SqlToRelConverter to fix 
>> https://issues.apache.org/jira/browse/CALCITE-505 
>> <https://issues.apache.org/jira/browse/CALCITE-505>.
>> 
>> 
>>> On Feb 22, 2016, at 5:53 PM, Homer <[email protected]> wrote:
>>> 
>>> Hi,
>>> 
>>> I am trying to add a system column to my table, lets call it rowid for 
>>> argument sake and familiarity.
>>> 
>>> I want to be able to do inserts without specifying rowid as it is added 
>>> only on the way out as a system column
>>> 
>>> So if I do this
>>> 
>>> Add a column called rowid to the metadata about table test
>>> 
>>> then do:
>>> 
>>> INSERT INTO test VALUES(7, 42, 101, 1001, 't', 1.1, 2.2, 'foo', 'real_foo', 
>>> '2014-12-13 22:23:15', '15:13:14', '1999-09-09', 9, 111.1);
>>> 
>>> I get this
>>> 
>>> org.apache.calcite.sql.validate.SqlValidatorException: Number of INSERT 
>>> target columns (15) does not equal number of source items (14)
>>> 
>>> As it knows I don't have enough columns as I have added rowid to my 
>>> metadata about the table.
>>> 
>>> If I don't add the rowid to the metadata I fail when attempting to do a 
>>> select from the table which includes rowid in the projection.
>>> 
>>> ie:  Select value1, rowid from test;
>>> 
>>> So I am wondering what is the recommended way to deal with system columns 
>>> in this kind of circumstance.
>>> 
>>> thanks
>> 
> 

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