I have a query:
SELECT [Theme].[PK_Theme], [Theme].[Name], [ThemeType].[Type]
FROM [Theme]
LEFT OUTER JOIN [ThemeType]
ON [Theme].[ThemeTypeId] = [ThemeType].[PK_ThemeType]
JOIN [ProductTheme] ON [ProductTheme].[ThemeId]=[Theme].[PK_Theme]
WHERE ProductTheme.ProductID LIKE '%'
AND ProductTheme.ThemeId = Theme.PK_Theme
AND COALESCE([THEME].[THEMETYPEID], 'null') LIKE '%'
GROUP BY [Theme].[Name], [ThemeType].[Type], [Theme].[PK_Theme]
ORDER BY CASE WHEN [ThemeType].[Type] IS NULL THEN 0 ELSE 1 END, [Theme].[Name]
The reason the LIKEs are there is because the '%' is actually parametrized using asp.net server control.
This query results in the following:
You cant see all of the returned data but [Theme].[Name] is in alphabetical order within two segments, 1st where [ThemeType].[Type] is NULL then where it is not null. [Theme].[PK_Theme] is the primary key that is associated with [Theme].[Name].
The way the tables are associated is that Theme has a column called ThemeTypeId which is a foreign key of the primary key on the ThemeType table.
Now here is my issue, currently ThemeTypeId is of VARCHAR(50) data type, I need it to be INT. I see the issue is:
COALESCE([THEME].[THEMETYPEID], 'null')
This results in the following error:
Conversion failed when converting the varchar value 'NULL' to data type int.
However, if I change null to NULL nothing is returned, if I change it to 0 only the NULL's are returned. I need bothNULL` and non-Null returned as was previously accomplished above. How do I do this?
The obvious thing to do is to remove the line
AND COALESCE([THEME].[THEMETYPEID], 'null') LIKE '%'
from the where clause. The like is doing an is not null, and you are converting NULL values anyway. So the line is not needed.
If you cannot do that, can you do this?
AND COALESCE(cast([THEME].[THEMETYPEID] as varchar(255)), 'null') LIKE '%'
Or this?
AND [THEME].[THEMETYPEID] is not null
If you're using an int instead of a varchar, you need to alter the following line:
AND COALESCE([THEME].[THEMETYPEID], 'null') LIKE '%'
to something like
AND COALESCE([THEME].[THEMETYPEID], 0) = 0%
This assumes that % is simply replaced by the numeric value when one is supplied, and a blank for null. If is more complex than that, the '%' may need to appear more than once in this query (which your control may not support).
Related
I have created a table as below:
CREATE TABLE case_status(data_entry_timestamp DATETIME DEFAULT (datetime('now','localtime')) NOT NULL,
case_number TEXT PRIMARY KEY NOT NULL,
case_name TEXT DEFAULT MISSING,
death_reportdate DATE CONSTRAINT death_reportdate_chk CHECK (death_reportdate==strftime('%Y-%m-%d',death_reportdate)),
);
The column death_reportdate need to have a date with pre-defined format (e.g. 2000-12-31). I created the table, inserted some rows of data, and then try to modified data in death_reportdate, the check rule seems to be bypassed when I enter some random string to it.
What have I done wrong?
You had an extra comma at the end. Correct code:
CREATE TABLE case_status(data_entry_timestamp DATETIME DEFAULT (datetime('now','localtime')) NOT NULL,
case_number TEXT PRIMARY KEY NOT NULL,
case_name TEXT DEFAULT MISSING,
death_reportdate DATE CONSTRAINT death_reportdate_chk CHECK (death_reportdate==strftime('%Y-%m-%d',death_reportdate))
)
it is an old Topic but i had the the same Problem. if the strftime method Fails to Format the string( a bad Input) it retuns null, so you have to check is not null in the end
Here is another solution which works like a charm:
`date` DATE CHECK(date IS strftime('%Y-%m-%d', date))
This also works with the time:
`time` TIME CHECK(time IS strftime('%H:%M:%S', time))
Use this to define your column. I think that is a more elegant solution than checking for null value.
First, two small notes.
I'm using the TEXT type since SQLite does not have "real types." It has 5 column "affinities", INTEGER, TEXT, BLOB, REAL, and NUMERIC. If you say DATE then it uses NUMERIC which can behave a little weirdly in my opinion. I find it best to explicitly use one of the 5 affinities.
I'm using date(...) instead of strftime('%Y-%m-%d', ...) because they are the same thing.
Let's break down why the original question did not work.
DROP TABLE IF EXISTS TEMP.example;
CREATE TEMPORARY TABLE example (
deathdate TEXT CHECK (deathdate == date(deathdate))
);
INSERT INTO TEMP.example (deathdate) VALUES ('2020-01-01');
INSERT INTO TEMP.example (deathdate) VALUES ('a');
INSERT INTO TEMP.example (deathdate) VALUES (NULL);
SELECT * FROM TEMP.example;
Running this lets all three values get into the database. Why? Let's check the documentation for CHECK constraints.
If the result is zero (integer value 0 or real value 0.0), then a constraint violation has occurred. If the CHECK expression evaluates to NULL, or any other non-zero value, it is not a constraint violation.
If you run SELECT 'a' == date('a'); you'll see it is NULL. Why? Check SELECT date('a'); and you'll see it is also NULL. Huh, maybe the documentation for == can help?
Note that there are two variations of the equals and not equals operators. Equals can be either = or ==. [...]
The IS and IS NOT operators work like = and != except when one or both of the operands are NULL. In this case, if both operands are NULL, then the IS operator evaluates to 1 (true) and the IS NOT operator evaluates to 0 (false). If one operand is NULL and the other is not, then the IS operator evaluates to 0 (false) and the IS NOT operator is 1 (true). It is not possible for an IS or IS NOT expression to evaluate to NULL.
We need to use IS, not ==, and trying that we see that 'a' no longer gets in.
DROP TABLE IF EXISTS TEMP.example;
CREATE TEMPORARY TABLE example (
deathdate TEXT CHECK (deathdate IS date(deathdate))
);
INSERT INTO TEMP.example (deathdate) VALUES ('2020-01-01');
INSERT INTO TEMP.example (deathdate) VALUES ('a');
INSERT INTO TEMP.example (deathdate) VALUES (NULL);
SELECT * FROM TEMP.example;
If you don't want NULL to get in, simple change it to deathdate TEXT NOT NULL CHECK (deathdate IS date(deathdate))
I have a table named CUSTOMER, with few columns. One of them is Customer_ID.
Initially Customer_ID column WILL NOT accept NULL values.
I've made some changes from code level, so that Customer_ID column will accept NULL values by default.
Now my requirement is that, I need to again make this column to accept NULL values.
For this I've added executing the below query:
ALTER TABLE Customer MODIFY Customer_ID nvarchar2(20) NULL
I'm getting the following error:
ORA-01451 error, the column already allows null entries so
therefore cannot be modified
This is because already I've made the Customer_ID column to accept NULL values.
Is there a way to check if the column will accept NULL values before executing the above query...??
You can use the column NULLABLE in USER_TAB_COLUMNS. This tells you whether the column allows nulls using a binary Y/N flag.
If you wanted to put this in a script you could do something like:
declare
l_null user_tab_columns.nullable%type;
begin
select nullable into l_null
from user_tab_columns
where table_name = 'CUSTOMER'
and column_name = 'CUSTOMER_ID';
if l_null = 'N' then
execute immediate 'ALTER TABLE Customer
MODIFY (Customer_ID nvarchar2(20) NULL)';
end if;
end;
It's best not to use dynamic SQL in order to alter tables. Do it manually and be sure to double check everything first.
Or you can just ignore the error:
declare
already_null exception;
pragma exception_init (already_null , -01451);
begin
execute immediate 'alter table <TABLE> modify(<COLUMN> null)';
exception when already_null then null;
end;
/
You might encounter this error when you have previously provided a DEFAULT ON NULL value for the NOT NULL column.
If this is the case, to make the column nullable, you must also reset its default value to NULL when you modify its nullability constraint.
eg:
DEFINE table_name = your_table_name_here
DEFINE column_name = your_column_name_here;
ALTER TABLE &table_name
MODIFY (
&column_name
DEFAULT NULL
NULL
);
I did something like this, it worked fine.
Try to execute query, if any error occurs, catch SQLException.
try {
stmt.execute("ALTER TABLE Customer MODIFY Customer_ID nvarchar2(20) NULL");
} catch (SQLException sqe) {
Logger("Column to be modified to NULL is already NULL : " + sqe);
}
Is this correct way of doing?
To modify the constraints of an existing table
for example... add not null constraint to a column.
Then follow the given steps:
1) Select the table in which you want to modify changes.
2) Click on Actions.. ---> select column ----> add.
3) Now give the column name, datatype, size, etc. and click ok.
4) You will see that the column is added to the table.
5) Now click on Edit button lying on the left side of Actions button.
6) Then you will get various table modifying options.
7) Select the column from the list.
8) Select the particular column in which you want to give not null.
9) Select Cannot be null from column properties.
10) That's it.
I'm preety new to SQLite.
I have a preety basic question.. Why can't I select rows where specific column equals zero?
The is_unwanted column is type TINYINT (which I see in SQLite basically means INTEGER)
So, I have only one record in the database (for testing).
When I try
SELECT is_unwanted FROM 'urls'
I get a result of "0" (zero), which is fine because that column contains the actual number 0.
I tried =>
SELECT * FROM 'urls' WHERE is_unwanted = 0
And got NO result, but
SELECT * FROM 'urls' WHERE is_unwanted <> 0
gives me result.
What am I doing wrong??
Try running
select '{' || is_unwanted || '}' from urls
to see if the value in the database is really a string containing spaces.
SQLite is a dynamically typed database; when you specify TINYINT is is a hint (SQLite uses the term "affinity") for the column. You can use
select is_unwanted, typeof(is_unwanted) from urls
to see the values with their types.
You could try:
SELECT * FROM urls WHERE coalesce(is_unwanted,'') = ''
Using asp.net
In the gridview select command, how can I select all records, including null, for a particular field. I have a parameter which changes with the dropdown selection. I have a default list item set to % but this will not pull records with null. I tried this:
Where
((#submit LIKE '%' AND user_submit LIKE #submit OR user_submit IS NULL) OR (#submit NOT LIKE '%' AND user_submit LIKE #submit))
but am getting null records in both sides of the or statement. I aslo tried a case statement but cannot figure out how to select both % and 'is null'.
If I'm understaning correctly I think you want to select based on a criteria but also if the field has a value of null.
Something like this should work for you
select whatever from Table_1 where whatever like '%' or whatever is null
It seems like a dumb question, and yet. It could be my IDE that's goofing me up. Here's the code (this is generated from DbLinq):
SELECT pics$.Caption, pics$.Id, pics$.Path, pics$.Public, pics$.Active, portpics$.PortfolioID
FROM main.Pictures pics$
inner join main.PortfolioPictures portpics$ on pics$.Id = portpics$.PictureId
WHERE portpics$.PortfolioId = 1 AND pics$.Id > 0
--AND pics$.Active = 1 AND pics$.Public = 1
ORDER BY pics$.Id
If I run this query I get three rows back, with two boolean fields called Active and Public. Adding in the commented out line returns no rows. Changing the line to any of the following:
pics$.Active = 'TRUE'
pics$.Active = 't'
pics$.Active = boolean(1)
It doesn't work. Either errors or no results. I've googled for this and found a dearth of actual SQL queries out there. And here we are.
So: how do I use a boolean field in a where clause in SQLite?
IDE is SQLite Administrator.
Update: Well, I found the answer. SQLite Administrator will let you make up your own types apparently; the create SQL that gets generated looks like this:
CREATE TABLE [Pictures] ([Id] INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
[Path] VARCHAR(50) UNIQUE NOT NULL,[Caption] varchAR(50) NULL,
[Public] BOOLEAN DEFAULT '0' NOT NULL,[Active] BOOLEAN DEFAULT '1' NOT NULL)
The fix for the query is
AND pics$.Active = 'Y' AND pics$.Public = 'Y'
The real issue here is, as the first answerer pointed out, there is no boolean type in SQLite. Not an issue, but something to be aware of. I'm using DbLinq to generate my data layer; maybe it shouldn't allow mapping of types that SQLite doesn't support. Or it should map all types that aren't native to SQLite to a string type.
You don't need to use any comparison operator in order to compare a boolean value in your where clause.
If your 'boolean' column is named is_selectable, your where clause would simply be:
WHERE is_selectable
SQLite does not have the boolean type: What datatypes does SQLite support?
The commented-out line as it is should work, just use integer values of 1 and 0 in your data to represent a boolean.
SQLite has no built-in boolean type - you have to use an integer instead. Also, when you're comparing the value to 'TRUE' and 't', you're comparing it to those values as strings, not as booleans or integers, and therefore the comparison will always fail.
Source: http://www.sqlite.org/datatype3.html
--> This Will Give You Result having False Value of is_online field
select * from device_master where is_online!=1
--> This Will Give You Result having True Value of is_online field
select * from device_master where is_online=1