Re: [sqlite] Floating point literals

2019-07-31 Thread Simon Slavin
On 1 Aug 2019, at 12:55am, Keith Medcalf  wrote:

> Columns declared with no affinity behave as if they had been declared with 
> BLOB infinity and v/v.

Okay, so leaving out the affinity just lets it default to BLOB.  That clarifies 
and simplifies things.
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Re: [sqlite] Floating point literals

2019-07-31 Thread Keith Medcalf

On Wednesday, 31 July, 2019 17:29, Simon Slavin  wrote:

>On 31 Jul 2019, at 11:58pm, Keith Medcalf  wrote:

>> it depends on the application of affinity.  If you are storing the
>floating point value in a column that does not have an affinity (ie,
>no conversions are performed), then it is stored exactly (except for
>NaN). Application of affinity (ie, real) will cause the -0.0 to be
>stored as the integer 0 and thus the sign will be lost on retrieval
>(as well as the conversion of NaN to NULL).

>

>in section 3.2 states "Every table column has a type affinity (one of
>BLOB, TEXT, INTEGER, REAL, or NUMERIC)"

Section 3 states:

(Historical note: The "BLOB" type affinity used to be called "NONE". But that 
term was easy to confuse with "no affinity" and so it was renamed.)

>Do you feel that your demonstration (which I find convincing) agrees
>or disagrees with that statement ?  You seem to have found a sixth
>column affinity: none.  Certainly columns declared with no affinity
>do not behave the same as any of the five documented affinities.

It agrees.  Columns declared with no affinity behave as if they had been 
declared with BLOB infinity and v/v.  That means that they do not attempt to 
convert whatever is presented to be stored as something else.  What is 
presented is stored as presented.

A column affinity (other than BLOB) means that for affinity X if the thing 
being stored looks like X and quacks like X and can be losslessly converted to 
X, then store X (which includes storing floating values that will fit in an 
integer as integers in order to save space).  Affinity BLOB means to not be 
doing that -- store what you is given.

>Should the documentation be updated ?

No.  Though maybe it should be put on the quirks page for those very few things 
that need to distinguish between -0.0 and +0.0

>What happens if you add a line to your demo code
>
> for row in db.execute('select x from x ORDER BY x'): print row
>
>Does -0.0 get sorted before or with 0.0 ?  I'd do it myself but I
>don't know Python.

No. -0.0 and 0.0 sort equal, as they should because they are equal.  Mostly.

-- 
The fact that there's a Highway to Hell but only a Stairway to Heaven says a 
lot about anticipated traffic volume.




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Re: [sqlite] Floating point literals

2019-07-31 Thread Simon Slavin
On 31 Jul 2019, at 11:58pm, Keith Medcalf  wrote:

> it depends on the application of affinity.  If you are storing the floating 
> point value in a column that does not have an affinity (ie, no conversions 
> are performed), then it is stored exactly (except for NaN). Application of 
> affinity (ie, real) will cause the -0.0 to be stored as the integer 0 and 
> thus the sign will be lost on retrieval (as well as the conversion of NaN to 
> NULL).



in section 3.2 states "Every table column has a type affinity (one of BLOB, 
TEXT, INTEGER, REAL, or NUMERIC)"

Do you feel that your demonstration (which I find convincing) agrees or 
disagrees with that statement ?  You seem to have found a sixth column 
affinity: none.  Certainly columns declared with no affinity do not behave the 
same as any of the five documented affinities.

Should the documentation be updated ?

What happens if you add a line to your demo code

 for row in db.execute('select x from x ORDER BY x'): print row

Does -0.0 get sorted before or with 0.0 ?  I'd do it myself but I don't know 
Python.
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Re: [sqlite] Floating point literals

2019-07-31 Thread Donald Shepherd
Thanks, that's an interesting wrinkle that I don't remember being raised in
previous discussions but if known it should be mentioned up front as
many/most use affinities.

Regards,
Donald Shepherd.

On Thu, 1 Aug 2019 at 08:58, Keith Medcalf  wrote:

> False, as it depends on the application of affinity.  If you are storing
> the floating point value in a column that does not have an affinity (ie, no
> conversions are performed), then it is stored exactly (except for NaN).
> Application of affinity (ie, real) will cause the -0.0 to be stored as the
> integer 0 and thus the sign will be lost on retrieval (as well as the
> conversion of NaN to NULL).
>
> >>> import apsw
> >>> import math
> >>> db = apsw.Connection('')
> >>> db.execute('create table x(x)');
> >>> db.execute('insert into x values (?)', (math.nan,))
> >>> db.execute('insert into x values (?)', (math.inf,))
> >>> db.execute('insert into x values (?)', (-math.inf,))
> >>> db.execute('insert into x values (?)', (0.0,))
> >>> db.execute('insert into x values (?)', (-0.0,))
> >>> for row in db.execute('select x from x'): print row
> ...
> Row(x=None)
> Row(x=inf)
> Row(x=-inf)
> Row(x=0.0)
> Row(x=-0.0)
>
> >>> db.execute('drop table x');
> >>> db.execute('create table x(x real)');
> >>> db.execute('insert into x values (?)', (math.nan,))
> >>> db.execute('insert into x values (?)', (math.inf,))
> >>> db.execute('insert into x values (?)', (-math.inf,))
> >>> db.execute('insert into x values (?)', (0.0,))
> >>> db.execute('insert into x values (?)', (-0.0,))
> >>> for row in db.execute('select x from x'): print row
> ...
> Row(x=None)
> Row(x=inf)
> Row(x=-inf)
> Row(x=0.0)
> Row(x=0.0)
>
> --
> The fact that there's a Highway to Hell but only a Stairway to Heaven says
> a lot about anticipated traffic volume.
>
>
> >-Original Message-
> >From: sqlite-users [mailto:sqlite-users-
> >boun...@mailinglists.sqlite.org] On Behalf Of Donald Shepherd
> >Sent: Wednesday, 31 July, 2019 16:50
> >To: SQLite mailing list
> >Subject: Re: [sqlite] Floating point literals
> >
> >That's not correct, verified several times by my own testing and
> >re-verified on the recent discussion about -0.0 on this mailing list.
> >
> >If you store -0.0 as a double, it will be stored as an integer as a
> >space-saving mechanism.  That integer is 0.  When you retrieve the
> >value as
> >a double it will be 0.0.  The sign has been stripped.
> >
> >Regards,
> >Donald Shepherd.
> >
> >On Thu, 1 Aug 2019 at 08:47, Keith Medcalf 
> >wrote:
> >
> >>
> >> The -0.0 is only for conversion to text.  Otherwise -0.0 is
> >preserved both
> >> on input and output (including input text conversions).  It is only
> >the
> >> conversion of -0.0 TO text that drops the sign.  NaN becomes a NULL
> >(ie, a
> >> double is not stored, a NULL value is stored).  Everything else is
> >> preserved including Inf and -Inf.
> >>
> >> --
> >> The fact that there's a Highway to Hell but only a Stairway to
> >Heaven says
> >> a lot about anticipated traffic volume.
> >>
> >>
> >> >-Original Message-
> >> >From: sqlite-users [mailto:sqlite-users-
> >> >boun...@mailinglists.sqlite.org] On Behalf Of Igor Tandetnik
> >> >Sent: Wednesday, 31 July, 2019 15:34
> >> >To: sqlite-users@mailinglists.sqlite.org
> >> >Subject: Re: [sqlite] Floating point literals
> >> >
> >> >On 7/31/2019 5:15 PM, Eric Reischer wrote:
> >> >> I understand you can *retrieve* a non-quantized value using
> >> >sqlite3_column_double(), but I don't see a way to set one without
> >> >having to printf() the floating point value.
> >> >
> >> >sqlite3_bind_double
> >> >
> >> >> Can this be done using sqlite3_bind_* interfaces, or do they
> >> >quantize as well?
> >> >
> >> >Yes. No; except that I seem to recall it mentioned that NaN is
> >> >treated as SQL NULL, and negative zero is normalized to positive
> >> >zero.
> >> >
> >> >> The goal is to copy the straight 8-byte (or precision-extended
> >4-
> >> >byte) IEEE value into the column into the database (where the
> >column
> >> >is defined as a FLOAT) without having to build a SQL statement
> >that
> >> >has an obscene

Re: [sqlite] Floating point literals

2019-07-31 Thread Keith Medcalf
False, as it depends on the application of affinity.  If you are storing the 
floating point value in a column that does not have an affinity (ie, no 
conversions are performed), then it is stored exactly (except for NaN).  
Application of affinity (ie, real) will cause the -0.0 to be stored as the 
integer 0 and thus the sign will be lost on retrieval (as well as the 
conversion of NaN to NULL).

>>> import apsw
>>> import math
>>> db = apsw.Connection('')
>>> db.execute('create table x(x)');
>>> db.execute('insert into x values (?)', (math.nan,))
>>> db.execute('insert into x values (?)', (math.inf,))
>>> db.execute('insert into x values (?)', (-math.inf,))
>>> db.execute('insert into x values (?)', (0.0,))
>>> db.execute('insert into x values (?)', (-0.0,))
>>> for row in db.execute('select x from x'): print row
...
Row(x=None)
Row(x=inf)
Row(x=-inf)
Row(x=0.0)
Row(x=-0.0)

>>> db.execute('drop table x');
>>> db.execute('create table x(x real)');
>>> db.execute('insert into x values (?)', (math.nan,))
>>> db.execute('insert into x values (?)', (math.inf,))
>>> db.execute('insert into x values (?)', (-math.inf,))
>>> db.execute('insert into x values (?)', (0.0,))
>>> db.execute('insert into x values (?)', (-0.0,))
>>> for row in db.execute('select x from x'): print row
...
Row(x=None)
Row(x=inf)
Row(x=-inf)
Row(x=0.0)
Row(x=0.0)

-- 
The fact that there's a Highway to Hell but only a Stairway to Heaven says a 
lot about anticipated traffic volume.


>-Original Message-
>From: sqlite-users [mailto:sqlite-users-
>boun...@mailinglists.sqlite.org] On Behalf Of Donald Shepherd
>Sent: Wednesday, 31 July, 2019 16:50
>To: SQLite mailing list
>Subject: Re: [sqlite] Floating point literals
>
>That's not correct, verified several times by my own testing and
>re-verified on the recent discussion about -0.0 on this mailing list.
>
>If you store -0.0 as a double, it will be stored as an integer as a
>space-saving mechanism.  That integer is 0.  When you retrieve the
>value as
>a double it will be 0.0.  The sign has been stripped.
>
>Regards,
>Donald Shepherd.
>
>On Thu, 1 Aug 2019 at 08:47, Keith Medcalf 
>wrote:
>
>>
>> The -0.0 is only for conversion to text.  Otherwise -0.0 is
>preserved both
>> on input and output (including input text conversions).  It is only
>the
>> conversion of -0.0 TO text that drops the sign.  NaN becomes a NULL
>(ie, a
>> double is not stored, a NULL value is stored).  Everything else is
>> preserved including Inf and -Inf.
>>
>> --
>> The fact that there's a Highway to Hell but only a Stairway to
>Heaven says
>> a lot about anticipated traffic volume.
>>
>>
>> >-Original Message-
>> >From: sqlite-users [mailto:sqlite-users-
>> >boun...@mailinglists.sqlite.org] On Behalf Of Igor Tandetnik
>> >Sent: Wednesday, 31 July, 2019 15:34
>> >To: sqlite-users@mailinglists.sqlite.org
>> >Subject: Re: [sqlite] Floating point literals
>> >
>> >On 7/31/2019 5:15 PM, Eric Reischer wrote:
>> >> I understand you can *retrieve* a non-quantized value using
>> >sqlite3_column_double(), but I don't see a way to set one without
>> >having to printf() the floating point value.
>> >
>> >sqlite3_bind_double
>> >
>> >> Can this be done using sqlite3_bind_* interfaces, or do they
>> >quantize as well?
>> >
>> >Yes. No; except that I seem to recall it mentioned that NaN is
>> >treated as SQL NULL, and negative zero is normalized to positive
>> >zero.
>> >
>> >> The goal is to copy the straight 8-byte (or precision-extended
>4-
>> >byte) IEEE value into the column into the database (where the
>column
>> >is defined as a FLOAT) without having to build a SQL statement
>that
>> >has an obscene number of digits in each floating point field.
>> >
>> >That's precisely what bound parameters and sqlite3_bind_X
>functions
>> >are for.
>> >--
>> >Igor Tandetnik
>> >
>> >
>> >___
>> >sqlite-users mailing list
>> >sqlite-users@mailinglists.sqlite.org
>> >http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-
>users
>>
>>
>>
>> ___
>> sqlite-users mailing list
>> sqlite-users@mailinglists.sqlite.org
>> http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-
>users
>>
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Re: [sqlite] Floating point literals

2019-07-31 Thread Donald Shepherd
That's not correct, verified several times by my own testing and
re-verified on the recent discussion about -0.0 on this mailing list.

If you store -0.0 as a double, it will be stored as an integer as a
space-saving mechanism.  That integer is 0.  When you retrieve the value as
a double it will be 0.0.  The sign has been stripped.

Regards,
Donald Shepherd.

On Thu, 1 Aug 2019 at 08:47, Keith Medcalf  wrote:

>
> The -0.0 is only for conversion to text.  Otherwise -0.0 is preserved both
> on input and output (including input text conversions).  It is only the
> conversion of -0.0 TO text that drops the sign.  NaN becomes a NULL (ie, a
> double is not stored, a NULL value is stored).  Everything else is
> preserved including Inf and -Inf.
>
> --
> The fact that there's a Highway to Hell but only a Stairway to Heaven says
> a lot about anticipated traffic volume.
>
>
> >-Original Message-
> >From: sqlite-users [mailto:sqlite-users-
> >boun...@mailinglists.sqlite.org] On Behalf Of Igor Tandetnik
> >Sent: Wednesday, 31 July, 2019 15:34
> >To: sqlite-users@mailinglists.sqlite.org
> >Subject: Re: [sqlite] Floating point literals
> >
> >On 7/31/2019 5:15 PM, Eric Reischer wrote:
> >> I understand you can *retrieve* a non-quantized value using
> >sqlite3_column_double(), but I don't see a way to set one without
> >having to printf() the floating point value.
> >
> >sqlite3_bind_double
> >
> >> Can this be done using sqlite3_bind_* interfaces, or do they
> >quantize as well?
> >
> >Yes. No; except that I seem to recall it mentioned that NaN is
> >treated as SQL NULL, and negative zero is normalized to positive
> >zero.
> >
> >> The goal is to copy the straight 8-byte (or precision-extended 4-
> >byte) IEEE value into the column into the database (where the column
> >is defined as a FLOAT) without having to build a SQL statement that
> >has an obscene number of digits in each floating point field.
> >
> >That's precisely what bound parameters and sqlite3_bind_X functions
> >are for.
> >--
> >Igor Tandetnik
> >
> >
> >___
> >sqlite-users mailing list
> >sqlite-users@mailinglists.sqlite.org
> >http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-users
>
>
>
> ___
> sqlite-users mailing list
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Re: [sqlite] Floating point literals

2019-07-31 Thread Keith Medcalf

The -0.0 is only for conversion to text.  Otherwise -0.0 is preserved both on 
input and output (including input text conversions).  It is only the conversion 
of -0.0 TO text that drops the sign.  NaN becomes a NULL (ie, a double is not 
stored, a NULL value is stored).  Everything else is preserved including Inf 
and -Inf.

-- 
The fact that there's a Highway to Hell but only a Stairway to Heaven says a 
lot about anticipated traffic volume.


>-Original Message-
>From: sqlite-users [mailto:sqlite-users-
>boun...@mailinglists.sqlite.org] On Behalf Of Igor Tandetnik
>Sent: Wednesday, 31 July, 2019 15:34
>To: sqlite-users@mailinglists.sqlite.org
>Subject: Re: [sqlite] Floating point literals
>
>On 7/31/2019 5:15 PM, Eric Reischer wrote:
>> I understand you can *retrieve* a non-quantized value using
>sqlite3_column_double(), but I don't see a way to set one without
>having to printf() the floating point value.
>
>sqlite3_bind_double
>
>> Can this be done using sqlite3_bind_* interfaces, or do they
>quantize as well?
>
>Yes. No; except that I seem to recall it mentioned that NaN is
>treated as SQL NULL, and negative zero is normalized to positive
>zero.
>
>> The goal is to copy the straight 8-byte (or precision-extended 4-
>byte) IEEE value into the column into the database (where the column
>is defined as a FLOAT) without having to build a SQL statement that
>has an obscene number of digits in each floating point field.
>
>That's precisely what bound parameters and sqlite3_bind_X functions
>are for.
>--
>Igor Tandetnik
>
>
>___
>sqlite-users mailing list
>sqlite-users@mailinglists.sqlite.org
>http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-users



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Re: [sqlite] Floating point literals

2019-07-31 Thread Donald Shepherd
Plus (as Igor noted) -0.0 returns as 0.0.

Regards,
Donald Shepherd.

On Thu, 1 Aug 2019 at 08:41, Keith Medcalf  wrote:

>
> sqlite3_bind_double and sqlite3_column_double will round trip IEEE
> floating point values EXCEPT for NaN.  NaN will be stored as a NULL.
>
> --
> The fact that there's a Highway to Hell but only a Stairway to Heaven says
> a lot about anticipated traffic volume.
>
> >-Original Message-
> >From: sqlite-users [mailto:sqlite-users-
> >boun...@mailinglists.sqlite.org] On Behalf Of Eric Reischer
> >Sent: Wednesday, 31 July, 2019 15:15
> >To: sqlite-users@mailinglists.sqlite.org
> >Subject: [sqlite] Floating point literals
> >
> >Is there a way to pass binary representations of floating point
> >numbers to
> >a SQL query?  If sqlite's internal representation of floating point
> >numbers is 8-byte IEEE doubles, it would be convenient to be able to
> >pass
> >the literal value of a float or double to the underlying SQL parser
> >without suffering the quantization that occurs with printf()'ing
> >floating
> >point values.
> >
> >One way I've accomplished this in the past with other interfaces is
> >to
> >interpret a hex value as a binary literal that can be interpreted as
> >a raw
> >4-byte or 8-byte IEEE floating-point value (either via a union or
> >other
> >compiler trick).  I understand you can *retrieve* a non-quantized
> >value
> >using sqlite3_column_double(), but I don't see a way to set one
> >without
> >having to printf() the floating point value.
> >
> >Can this be done using sqlite3_bind_* interfaces, or do they quantize
> >as
> >well?  The documentation isn't clear on this.  The goal is to copy
> >the
> >straight 8-byte (or precision-extended 4-byte) IEEE value into the
> >column
> >into the database (where the column is defined as a FLOAT) without
> >having
> >to build a SQL statement that has an obscene number of digits in each
> >floating point field.
> >
> >Thanks in advance.
> >___
> >sqlite-users mailing list
> >sqlite-users@mailinglists.sqlite.org
> >http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-users
>
>
>
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Re: [sqlite] Floating point literals

2019-07-31 Thread Keith Medcalf

sqlite3_bind_double and sqlite3_column_double will round trip IEEE floating 
point values EXCEPT for NaN.  NaN will be stored as a NULL.

-- 
The fact that there's a Highway to Hell but only a Stairway to Heaven says a 
lot about anticipated traffic volume.

>-Original Message-
>From: sqlite-users [mailto:sqlite-users-
>boun...@mailinglists.sqlite.org] On Behalf Of Eric Reischer
>Sent: Wednesday, 31 July, 2019 15:15
>To: sqlite-users@mailinglists.sqlite.org
>Subject: [sqlite] Floating point literals
>
>Is there a way to pass binary representations of floating point
>numbers to
>a SQL query?  If sqlite's internal representation of floating point
>numbers is 8-byte IEEE doubles, it would be convenient to be able to
>pass
>the literal value of a float or double to the underlying SQL parser
>without suffering the quantization that occurs with printf()'ing
>floating
>point values.
>
>One way I've accomplished this in the past with other interfaces is
>to
>interpret a hex value as a binary literal that can be interpreted as
>a raw
>4-byte or 8-byte IEEE floating-point value (either via a union or
>other
>compiler trick).  I understand you can *retrieve* a non-quantized
>value
>using sqlite3_column_double(), but I don't see a way to set one
>without
>having to printf() the floating point value.
>
>Can this be done using sqlite3_bind_* interfaces, or do they quantize
>as
>well?  The documentation isn't clear on this.  The goal is to copy
>the
>straight 8-byte (or precision-extended 4-byte) IEEE value into the
>column
>into the database (where the column is defined as a FLOAT) without
>having
>to build a SQL statement that has an obscene number of digits in each
>floating point field.
>
>Thanks in advance.
>___
>sqlite-users mailing list
>sqlite-users@mailinglists.sqlite.org
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Re: [sqlite] Floating point literals

2019-07-31 Thread Igor Tandetnik

On 7/31/2019 5:15 PM, Eric Reischer wrote:

I understand you can *retrieve* a non-quantized value using 
sqlite3_column_double(), but I don't see a way to set one without having to 
printf() the floating point value.


sqlite3_bind_double


Can this be done using sqlite3_bind_* interfaces, or do they quantize as well?


Yes. No; except that I seem to recall it mentioned that NaN is treated as SQL 
NULL, and negative zero is normalized to positive zero.


The goal is to copy the straight 8-byte (or precision-extended 4-byte) IEEE 
value into the column into the database (where the column is defined as a 
FLOAT) without having to build a SQL statement that has an obscene number of 
digits in each floating point field.


That's precisely what bound parameters and sqlite3_bind_X functions are for.
--
Igor Tandetnik


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Re: [sqlite] Floating point literals

2019-07-31 Thread Simon Slavin
On 31 Jul 2019, at 10:15pm, Eric Reischer  wrote:

> Is there a way to pass binary representations of floating point numbers to a 
> SQL query?  If sqlite's internal representation of floating point numbers is 
> 8-byte IEEE doubles, it would be convenient to be able to pass the literal 
> value of a float or double to the underlying SQL parser without suffering the 
> quantization that occurs with printf()'ing floating point values.

Rather than including the values in the text of the query:

INSERT INTO A (B) VALUES (3.1)

use a parameter marker:

INSERT INTO A (B) VALUES (?)

and bind the value to that parameter:



int sqlite3_bind_double(sqlite3_stmt*, int, double);

This does not involve any rendering of the value into a string.  However, since 
the C double is not necessarily a representation of IEEE value, you cannot rely 
on values being passed entirely unchanged.
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