I have a question about the data types in sqlite3.
As a value of SQLITE_INTEGER can be stored in 1, 2, 3, 4, 6, or 8 bytes depending on the magnitude of the value, if I only know that a column in SQlite database stores SQLITE_INTEGER, how can I know a value in this column is 4 bytes or 6-8 bytes integer, or which one should be used to get the value, sqlite3_column_int() or sqlite3_column_int64()?
Can I use sqlite3_column_bytes() in this case? but according to the documentation, sqlite3_column_bytes() is primarily used for TEXT or BLOB.
Thanks!
When SQLite steps into a record, all integer values are expanded to 64 bits.
sqlite3_column_int() returns the lower 32 bits of that value without checking for overflows.
When you call sqlite3_column_bytes(), SQLite will convert the value to text, and return the number of characters.
You cannot know how large an integer value is before reading it.
Afterwards, you can check the list in the record format documentation for the smallest possible format for that value, but if you want to be sure that integer values are never truncated to 32 bits, you have to always use sqlite3_column_int64(), or ensure that large values get never written to the DB in the first place (if that is possible).
Related
I checked the storage size but I'm confused when it comes to storing numbers.
In case of Bytes, what does "Byte length" mean? If I store -128 what's the length? And in case of 12?
In case of Floating-point number and Integer, it doesn't matter if I store 325 or 9.9999999999999 it will always be 8 bytes?
In case of Array? Let' say we have ["ab", "bcd"], what's the size, (2+3=5) or (2+1)+(3+1)=7
If you store an array of bytes, the size will simply be the length of that array. An array with a single byte value of -128 is still just one byte.
Yes, all numbers occupy the same 8-byte size, even if you don't see a fractional part.
The documentation says it's the sum of the array element sizes, so I would expect 7, the sum of the two individual string sizes, each encoded in UTF-8 + 1
I am trying to find a straightforward way to store negative values in EEPROM, integer values ranging from -20 to 20. I have been using EEPROM.write and EEPROM.read functions to store strings one character at a time, but I am having trouble with negative numbers. I figure I only need one byte for this value.
It's just matter of number representation. You just have to use correct data types to print or use:
Version 1: int8_t data = EEPROM.read(addr);
Version 2:
byte data = EEPROM.read(addr);
Serial.print((int8_t)data);
EEPROM.write can be used directly with int8_t: EEPROM.write(int8_value);
Or, if you wan't int, put/get methods can be used for it (even for structs containing POD types only or so)
I do a simple:
latitude:String = String.fromCString(UnsafePointer(sqlite3_column_text(statement, 11)))!
The value in the Database is "real".
In the database I have
51.234183426424316 (verified using Firefox'SQLite Manager)
With the above I get in my String only:
51.2341834264243
(the last two digits are missing with is not acceptable working with coordinates)
Any explanations? Solutions?
SQLite stores such numbers as as 64-bit IEEE floating-point numbers, which have a significand precisions of 53 bits, which corresponds to about 15-17 decimal digits.
How to format such a number for display is a different question.
If you want to have control over it, get the original value with sqlite3_column_double(), and convert it to a string yourself.
(And you are complaining about a difference that is smaller than the wavelength of visible light ...)
Is it possible to create a unique 6 digit number using guid?
I seem to be able to only get 10 digits using :
byte[] buffer = Guid.NewGuid().ToByteArray();
Console.WriteLine(BitConverter.ToUInt32(buffer, 6).ToString());
GUIDs are not guaranteed to be unique. However, the range from which they are picked up is so large that there indeed is a very low probability of collision. This is not the case for a six digit number unless you pick each number sequentially or use any other scheme that ensure there is no collision.
EDIT
See http://en.m.wikipedia.org/wiki/Birthday_problem for the probability of a collision.
I used oracle dictionary views to find out column differences if any between two schema's. While syncing data type discrepancies I found that both NUMBER and INTEGER data types stored in all_tab_columns/user_tab_columns/dba_tab_columns as NUMBER only so it is difficult to sync data type discrepancies where one schema/column has number datatype and another schema/column has integer data type.
While comparison of schema's it show datatype mismatch. Please suggest if there is any other alternative apart form using dictionary views or if any specific properties from dictionary views can be used to identify if data type is integer.
the best explanation i've found is this:
What is the difference betwen INTEGER and NUMBER? When should we use NUMBER and when should we use INTEGER? I just wanted to update my comments here...
NUMBER always stores as we entered. Scale is -84 to 127. But INTEGER rounds to whole number. The scale for INTEGER is 0. INTEGER is equivalent to NUMBER(38,0). It means, INTEGER is constrained number. The decimal place will be rounded. But NUMBER is not constrained.
INTEGER(12.2) => 12
INTEGER(12.5) => 13
INTEGER(12.9) => 13
INTEGER(12.4) => 12
NUMBER(12.2) => 12.2
NUMBER(12.5) => 12.5
NUMBER(12.9) => 12.9
NUMBER(12.4) => 12.4
INTEGER is always slower then NUMBER. Since integer is a number with added constraint. It takes additional CPU cycles to enforce the constraint. I never watched any difference, but there might be a difference when we load several millions of records on the INTEGER column. If we need to ensure that the input is whole numbers, then INTEGER is best option to go. Otherwise, we can stick with NUMBER data type.
Here is the link
Integer is only there for the sql standard ie deprecated by Oracle.
You should use Number instead.
Integers get stored as Number anyway by Oracle behind the scenes.
Most commonly when ints are stored for IDs and such they are defined with no params - so in theory you could look at the scale and precision columns of the metadata views to see of no decimal values can be stored - however 99% of the time this will not help.
As was commented above you could look for number(38,0) columns or similar (ie columns with no decimal points allowed) but this will only tell you which columns cannot take decimals, and not what columns were defined so that INTS can be stored.
Suggestion:
do a data profile on the number columns. Something like this:
select max( case when trunc(column_name,0)=column_name then 0 else 1 end ) as has_dec_vals
from table_name
This is what I got from oracle documentation, but it is for oracle 10g release 2:
When you define a NUMBER variable, you can specify its precision (p) and scale (s) so that it is sufficiently, but not unnecessarily, large. Precision is the number of significant digits. Scale can be positive or negative. Positive scale identifies the number of digits to the right of the decimal point; negative scale identifies the number of digits to the left of the decimal point that can be rounded up or down.
The NUMBER data type is supported by Oracle Database standard libraries and operates the same way as it does in SQL. It is used for dimensions and surrogates when a text or INTEGER data type is not appropriate. It is typically assigned to variables that are not used for calculations (like forecasts and aggregations), and it is used for variables that must match the rounding behavior of the database or require a high degree of precision. When deciding whether to assign the NUMBER data type to a variable, keep the following facts in mind in order to maximize performance:
Analytic workspace calculations on NUMBER variables is slower than other numerical data types because NUMBER values are calculated in software (for accuracy) rather than in hardware (for speed).
When data is fetched from an analytic workspace to a relational column that has the NUMBER data type, performance is best when the data already has the NUMBER data type in the analytic workspace because a conversion step is not required.