I am trying to create a table in SQLite with blob type column (Content):
create table [Files]
(
Id int identity not null
constraint PK_File_Id primary key,
MimeType nvarchar (400) not null,
Content varbinary (max) null
constraint DF_File_Content default (0x),
);
However the following is not being accepted:
Content varbinary (max) null
constraint DF_File_Content default (0x),
Why?
"Max" is the name of a standard SQLite3 function, so is not available as part of a type name.
See the syntax reference for the CREATE TABLE statement and data types. A type name can include numbers in parentheses (which are ignored), but not the word “MAX”.
It looks like you're trying to use MS SQL Server syntax, and there are several errors in your code:
As mentioned above, (max) is not accepted as part of a type name. Since value lengths are unconstrained by default, simply omit it.
varbinary gives the column “numeric affinity”. While such a column can store a blob, you'll probably want to declare it as blob instead.
0x is not a valid blob literal. The correct way to write an empty blob is x''.
identity is called autoincrement. And in order to use it, the type name must be integer rather than int. The not null is redundant: If you try to insert a null value into such a column, you'll get the auto-incremented ROWID instead.
Note: If you simply need Id to have unique values at any given time and don't care if previously-deleted values get re-used, then you can simply declare the column as integer primary key, and inserting null will fill in the column with an unused integer. The autoincrement keyword prevents the re-use of ROWIDs over the lifetime of the database, more closely matching the semantics of MS SQL's identity keyword. See the discussion at the link above.
While it's syntactically legal to declare a name for a column constraint, it's not necessary.
Try this:
create table [Files]
(
Id integer primary key autoincrement,
MimeType nvarchar (400) not null,
Content blob null default (x'')
);
Note that this does not enforce a length limit on a MimeType column. If you need to, add the constraint check (length(MimeType) <= 400).
Related
When creating a database table in jupyter, we specify restrictions on data types in the columns of the table, but for some reason we can still add other data types. For example, the st_gr column should contain only numbers, but nothing will stop us from adding a line (code below) Why? How to fix?
%%sql sqlite://
CREATE TABLE students(
st_id INTEGER PRIMARY KEY AUTOINCREMENT,
fname VARCHAR(15) NOT NULL,
lname VARCHAR(15) NOT NULL,
st_gr NUMERIC
)
%%sql sqlite://
INSERT INTO students (fname, lname, st_gr) VALUES('Barack', 'Obama', 'text not num')
SQLite uses dynamic type system. Declared column type only indicates the preferred value type, unless the table is strict.
If you are using sqlite version > 3.37.0, look into using STRICT tables.
If not, perhaps check constraints? software verification? a different database?
After creating an sqlite table with a generated column in it, the type only shows up, if it was specified, and there can be cases when junk gets into the type description as well.
Example:
create table test(
id integer primary key not null,
gen generated always as (id * 2) stored
);
Using pragma table_xinfo(test); afterwards nets the following output:
0|id|INTEGER|1||1|0
1|gen||0||0|3
The type is simply missing from the correct column.
If the column were to be created with:
gen integer generated always as (id * 2) stored
instead, then the type would correctly show up as INTEGER.
Are there any methods that would get the type of a column in a table without having to resort to parsing the table creation code?
Nevermind, as usual, I find the answer right after asking it. According to sqlite documentation:
The datatype and collating sequence of the generated column are determined only by the datatype and COLLATE clause on the column definition. The datatype and collating sequence of the GENERATED ALWAYS AS expression have no affect on the datatype and collating sequence of the column itself.
Which I assume means, that just as in other places, if the datatype is not specified, it is thought of as a blob.
I am looking at migrating a small sqlite3 db to mysql. I know mysql but new to sqlite3 so have been reading about it online. I used pragma table_info(<table_name>) to get info about the table structure.
From the output I could understand columns with data type TEXT, INTEGER but i do not understand datatype BINARY(32). From sqlite3 documentation on the net there is a BINARY collation, but there is no BINARY datatype. So I just want to understand this this BINARY(32) datatype. Thanks.
SQLite is unusual in datatypes (column types). You can store any type of data in any type of columns with the exception of the rowid column or an alias of the rowid column.
see Rowid Tables
rowid is similar to MySQL AUTO INCREMENT BUT beware of differences
In the example below see how the rowid starts from -100, then -99 .....
AUTOINCREMENT on SQLite is only a constraint as such that enforces that a new id is higher than any existing in the table.
So BINARY, BINARY(32), (rumplestistkin even) are valid for the datatype when defining a column.
However, a column will be given a column affinity and governed by the rules :-
If the column type contains INT the the affinity is INTEGER.
If the column type contains CHAR, CLOB or TEXT, then it's affinity is TEXT.
If the column type contains BLOB then it's affinity is BLOB.
If the column type contains REAL FLOA or DOUB then it's affinity is REAL.
Otherwise the affinity is NUMERIC.
As such BINARY(32) is NUMERIC affinity. However, the column type is of little consequence in regards to storing data. The affinity can affect retrieval a little.
In regard to converting the rules mentioned above could be utilised you could also perhaps find the typeof function of use (example of it's use is in the example along with the results). However, neither will necessarily, indicate how the data is subsequently used which could well be a factor that needs consideration.
SQLite's flexibility with column types aids in converting from other relational databases BUT can be a bit of a hindrance when converting from SQLite.
Note this answer is by no means intended to be comprehensive explanation of the conversion from SQLite to MysQL.
See Datatypes in SQLite
Here's an example that shows that any type can be stored in any column (thus any row/col combination can store different types) :-
DROP TABLE IF EXISTS example;
CREATE TABLE IF NOT EXISTS example (
rowid_alias_must_be_unique_integer INTEGER PRIMARY KEY, -- INTEGER PRIMARY KEY makes the column an alias of the rowid
col_text TEXT,
col_integer INTEGER,
col_real REAL,
col_BLOB BLOB,
col_anyother this_is_a_stupid_column_type
);
INSERT INTO example VALUES (-100,'MY TEXT', 340000,34.5678,x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff',100);
INSERT INTO example (col_text,col_integer,col_real,col_blob,col_anyother) VALUES
('MY TEXT','MY TEXT','MY TEXT','MY TEXT','MY TEXT'),
(100,100,100,100,100),
(34.5678,34.5678,34.5678,34.5678,34.5678),
(x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff',x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff',x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff',x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff',x'f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff')
;
SELECT
*,
rowid,
typeof(rowid_alias_must_be_unique_integer),
typeof(col_text),
typeof(col_integer),
typeof(col_real),
typeof(col_blob),
typeof(col_anyother)
FROM example
;
DROP TABLE IF EXISTS example;
Running the above results in (Note different SQLtools handle blobs in different ways, Navicat was used to run the above) :-
note that the typeof function returns the storage type as opposed to the affinity. However, the affinity can affect the storage type.
e.g. if the affinity is text then with the exception of a blob the value is stored as text. (see 2. in Datatype in SQLite above).
I am creating a table in Sqlite with a column with max length:
create table [Log] (
Id int identity not null
constraint PK_Log_Id primary key,
Data nvarchar (max) null
)
But the following line is not being accepted:
Data nvarchar (max) null
Why?
max is specific to SQL Server (and I think Sybase). Just use text:
data text not null
or, you can really use any character string data type. SQLite doesn't enforce length restrictions:
Note that numeric arguments in parentheses that following the type
name (ex: "VARCHAR(255)") are ignored by SQLite - SQLite does not
impose any length restrictions (other than the large global
SQLITE_MAX_LENGTH limit) on the length of strings, BLOBs or numeric
values.
(see here).
I was psyched about the possibility of using SQLite as a database solution during development so that I could focus on writing the code first and dynamically generating the db at runtime using NHibernate's ShemaExport functionality. However, I'm running into a few issues, not the least of which is that it seems that SQLite requires me to use Int64 for my primary keys (vs, say, Int32 or Guid). Is there any way around this?
Note: I should specify that this is in the context of an app using NHibernate. It is not strictly speaking the case that one can't create a table in SQLite with an INT datatype, but the behavior when you save and retrieve the data seems to indicate that it's being stored and/or retrieved as Int64.
SQLite will let you use any field in your table as a PRIMARY KEY. Doing so will implicitly create a UNIQUE index on the field. This is then the field that you, as a developer, can consider to be the primary unique identifier for the field. It can be any supported SQLite data type (below).
SQLite will always create an implicit internal numeric identifier for every table. It will have several aliases including RowID, OID, and _ROWID_. If you create your primary key as INTEGER PRIMARY KEY then it will use the same field as your primary key and SQLite's internal numeric identifier.
SQLite doesn't have a concept of Int32 or Int64 or Guid data types. It only has four data types: INT, REAL, TEXT, and BLOB. When you run DDL against SQLite if you use anything other than these four identifiers, SQLite will use a set of rules to determine which type to use. Basically, Int32 and Int64 are treated as aliases of INT and end up doing the exact same thing.
Even once you've created the tables with the data types you mentioned for each field, all you set is the type affinity for that field. SQLite does not enforce data types. Any data can be put into any field regardless of the declared type. SQLite will use the type affinity to convert data if possible, so if you insert '123' as a text string into an INT field, it will store it as the number 123.
The only exception to the type affinity is INTEGER PRIMARY KEY FIELDS. Those must be integers.
Integers in SQLite are always stored with a variable length field. So depending on the size of the integer, you may actually get an Int32 back for some rows an Int64 for others, all within the same field. This depends on the wrapper you're using, in this case NHibernate (I guess with System.Data.SQLite).
It does not require you to use Int64, however, it is possible that it only allows that when you specify a numeric primary key. Because sqlite doesn't really have referential integrity checking (though there has been recent discussion of this and perhaps dr hipp has even implemented, i haven't checked lately), all primary key means is "Make this column unique and create an index on it". there isn't much special about it. You can certainly use varchar or text for a primary key. for example, this works:
create table t_test (
theID varchar(36) primary key,
nm varchar(50)
)
in the above you could use theID to store a guid in text form.
More info can be found here: http://www.sqlite.org/lang_createtable.html#rowid
#weenet ... per your comments, the following code works just fine.
i think you need to post your code if you're still having troubles.
create table t_test2 (
theID int32 primary key,
nm varchar(50)
);
insert into t_test2 (theID, nm) values (1, 'don');
insert into t_test2 (theID, nm) values (2, 'weenet');
select * from t_test2;
additionally, this code works fine (varchar as a primary key):
create table t_test (
theID varchar(36) primary key,
nm varchar(50)
)
insert into t_test (theID, nm) values ('abcdefg', 'don');
insert into t_test (theID, nm) values ('hijklmnop', 'weenet');
select * from t_test