if else query in mysql - mysql

i need an example of nested if-else condition in mysql query

You could also use case statements for if-else conditions
SELECT
(CASE field1
WHEN 'A' THEN 'value is A'
WHEN 'B' THEN 'value is B'
ELSE 'value is neither A or B'
END)
FROM your_table;
or
SELECT
(CASE
WHEN (field1 IS NULL) THEN 'value is NULL'
WHEN (field1 = 1) THEN 'value is 1'
ELSE 'value is neither NULL or 1'
END)
FROM your_table;

You mean the IF(expr, expr, expr) function as defined here? An example would be:
SELECT
name, ID,
IF(category = 'fulltime', 1,
IF(category = 'parttime', loading, 0)) AS equivloading
FROM
person

Related

Best way to ignore null values in MYSQL

My data looks like this,
I have multiple values in the Table field with each having its own unique values for the Data field. However, Data values for TableA will be the same format in the table myTable. Same applies to all records in the Table field.
I am using JSON_EXTRACT to get the value in conjunction with CASE statements.
SELECT
CASE
WHEN
Table = 'table A'
THEN
CONCAT_WS('\n','Name: ',
JSON_EXTRACT(Data, '$.name'))
END AS 'tableA',
CASE
WHEN
Table = 'table B'
THEN
CONCAT_WS('\n','Location: ',
JSON_EXTRACT(Data, '$.fieldType'))
END AS 'tableB' from myTable
The problem with this is that I will be getting null values.
I am getting the below results,
I am expecting the below results,
I want to avoid the null values. Is there any other way to extract the data ? I am using MYSQL.
Option one:
Select *
from ( SELECT CASE WHEN Table_c = 'table A' THEN
CONCAT_WS('\n','Name: ', JSON_EXTRACT(data_c, '$.name'))
END AS 'TableA'
from test_t) A,
( SELECT CASE WHEN Table_c = 'table B' THEN
CONCAT_WS('\n','Location: ', JSON_EXTRACT(data_c, '$.fieldType'))
END AS 'TableB'
from test_t) B
where TableA is not null
and TableB is not null
Option two:
SELECT CASE WHEN Table_c = 'table B' THEN
CONCAT_WS('\n','Location: ', JSON_EXTRACT(data_c, '$.fieldType'))
ELSE
CONCAT_WS('\n','Name: ', JSON_EXTRACT(data_c, '$.name'))
END AS 'Data'
, CASE WHEN Table_c = 'table B' THEN
'Table B'
ELSE
'Table A'
END AS 'Table'
from test_t
Here is the demo
Please note that I have changed the names of the table and columns in my demo.
I think you just want conditional aggregation:
SELECT MAX(CASE WHEN Table = 'table A'
THEN CONCAT_WS('\n', 'Name: ', JSON_EXTRACT(Data, '$.name'))
END) AS tableA,
MAX(CASE WHEN Table = 'table B'
THEN CONCAT_WS('\n','Location: ', JSON_EXTRACT(Data, '$.fieldType'))
END) AS tableB
from myTable;
If there could be multiple matches in the JSON, then you might want GROUP_CONCAT() instead:
SELECT GROUP_CONCAT(CASE WHEN Table = 'table A'
THEN CONCAT_WS('\n', 'Name: ', JSON_EXTRACT(Data, '$.name'))
END) AS tableA,
GROUP_CONCAT(CASE WHEN Table = 'table B'
THEN CONCAT_WS('\n','Location: ', JSON_EXTRACT(Data, '$.fieldType'))
END) AS tableB
from myTable;
Note: you have to understand these are not actual null values in database but because your requirement is to read and convert the rows to columns and thus each row in the final result will have null value for all columns other than the corresponding derived one. We can use max on each column (each "CASE" as in your query).
You could try with below,
SELECT MAX(IF(data_type = 'TableA', CONCAT_WS('\n', 'Name: ',
JSON_EXTRACT(data, '$.name'))
, ''))
TableA,
MAX(IF(data_type = 'TableB', CONCAT_WS('\n', 'Location: ',
JSON_EXTRACT(data, '$.fieldType')), ''))
TableB
FROM mytable

Query to Get Counts of Ids under 2 different Conditions with Case When Statement

So I Have a Table Structure like the one below.
Here are the Conditions:
I call 'Tag' as the IDs with none of Condition(x) as NULL.
I call 'UnTag' as the IDs with any of the Condition(x) is NULL.
I want to Classify 'Classification1' in the below Format:
I want the output in the following structure:
I wrote a code but somehow it is not giving me the desired result.
I Used Case when to Classify the Classification1 and then ran a sub-query for taking out Count.
Please help if there is a different Approach and how to incorporate the Case when in Group by statement.
I wrote this query:
SELECT
CASE
WHEN UPPER(CM1.Classification1) IN ('A', 'C','G') THEN 'X'
WHEN UPPER(CM1.Classification1) IN ('B', 'F') THEN 'Y'
WHEN UPPER(CM1.Classification1) IN ('D', 'E') THEN 'Z'
ELSE 'Undefined' END AS New_Classification,
(SELECT
COUNT(CASE
WHEN UPPER(CM2.Classification1) IN ('A', 'C','G') THEN 'X'
WHEN UPPER(CM2.Classification1) IN ('B', 'F') THEN 'Y'
WHEN UPPER(CM2.Classification1) IN ('D', 'E') THEN 'Z'
ELSE 'Undefined' END)
FROM TABLE1 CM2 WHERE
CM2.Condition1 IS NOT NULL AND
CM2.Condition2 IS NOT NULL AND
CM2.Condition3 IS NOT NULL AND
CM2.Condition4 IS NOT NULL AND
CM1.ID=CM2.ID) AS Count_of_tagged,
(SELECT
COUNT(CASE
WHEN UPPER(CM3.Classification1) IN ('A', 'C','G') THEN 'X'
WHEN UPPER(CM3.Classification1) IN ('B', 'F') THEN 'Y'
WHEN UPPER(CM3.Classification1) IN ('D', 'E') THEN 'Z'
ELSE 'Undefined' END)
FROM TABLE1 CM3 WHERE
(CM3.Condition1 IS NULL OR
CM3.Condition2 IS NULL OR
CM3.Condition3 IS NULL OR
CM3.Condition4 IS NULL) AND
CM1.ID=CM2.ID) AS Count_of_untagged
FROM TABLE1 CM1
You shouldn't need a subquery, as a starting point I came up with:
SELECT CASE Classification1
WHEN 'A' THEN 'X'
WHEN 'B' THEN 'Y'
WHEN 'C' THEN 'X'
WHEN 'D' THEN 'Z'
WHEN 'E' THEN 'Z'
WHEN 'F' THEN 'Y'
WHEN 'G' THEN 'X'
END new_classification,
SUM(
Condition1 IS NOT NULL AND
Condition2 IS NOT NULL AND
Condition3 IS NOT NULL AND
Condition4 IS NOT NULL /* 1 for true, 0 for false */
) tagged_count,
SUM(
Condition1 IS NULL OR
Condition2 IS NULL OR
Condition3 IS NULL OR
Condition4 IS NULL
) untagged_count,
FROM table_name
GROUP BY new_classification
Can give a try at the following sql and tell me if this is what you need
select
CASE
WHEN classification ='A' THEN 'X'
WHEN classification ='B' THEN 'Y'
WHEN classification ='C' THEN 'X'
WHEN classification ='D' THEN 'Z'
WHEN classification ='E' THEN 'Z'
WHEN classification ='F' THEN 'Y'
WHEN classification ='G' THEN 'X'
END as classification,
sum(case when condition1 is not null and condition2 is not null and condition3 is not null and condition4 is not null then 1 else 0 end) as tagged
sum(case when condition1 is null or condition2 is null or condition3 is null or condition4 is null then 1 else 0 end) as untagged
from table
GROUP BY CASE
WHEN classification ='A' THEN 'X'
WHEN classification ='B' THEN 'Y'
WHEN classification ='C' THEN 'X'
WHEN classification ='D' THEN 'Z'
WHEN classification ='E' THEN 'Z'
WHEN classification ='F' THEN 'Y'
WHEN classification ='G' THEN 'X'
END ;

Case statement in sqlserver in where clause with else as always true

I have used the always true statement e.g. 1 = 1 in case statement of where clause in MYSQL with following syntax:
select * from tablename where
(case when tablefield is not null then
then tablefield = 'value'
else 1 = 1 end)
I want to know how can i use else 1 = 1 (always true statement) in sqlserver/tsql case statement in where clause.
you would not use case you would just write a multi conditional statement. In your case it would look like
Where (tablefield = 'value'
OR tablefield is null)
If you want to use the TSQL CASE function, you could do something like :
select * from tablename where 1 =
(case when tablefield is not null then
(case when tablefield = 'value' then 1 else 0 end)
else 1 end)
which could be simplified to :
select * from tablename where 1 =
(case when tablefield is null then 1 when tablefield = 'value' then 1
else 0 end)
You can leave out the "else 0" parts, as when no match is found, NULL is returned (which will not be equal to 1). i.e.:
select * from tablename where 1 =
(case when tablefield is not null then
(case when tablefield = 'value' then 1 end)
else 1 end)
select * from tablename where 1 =
(case when tablefield is null then 1 when tablefield = 'value' then 1 end)
Sorry I just mixed up the query,I was intended to ask for a condition when parameter variable is null instead of tablefield
In that case query may look like this :
select * from tablename where
(case when parameterfield_or_variable is not null then
then tablefield = 'value'
else 1 = 1 end)
or when using parameterfield for value
(case when parameterfield_or_variable is not null then
then tablefield = parameter_field_or_variable
else 1 = 1 end)
The answer as per asked question #KHeaney is right.
However the query in tsql/sqlserver as described in mysql, will be like this :
select * from tablename
where tablefield = #parameterfield
-- incase of comparing input parameter field with tablefield
or #parameter is null
so when #parameterfield will be null it will show all results otherwise it will restrict to only input value.
Thanks
You can try...
select * from tablename
where tablefield = isnull(#parameter, tablefield)
I know T-SQL and MySQL both provide COALESCE, which returns the first non-NULL value provided.
SELECT *
FROM tablename
WHERE (COALESCE(`tablefield`, 'value') = 'value')

Pivot Table Omitting Rows that Have Null values

I am solving a problem very similar to this only in my case, I am not summing any values.
I have been able to write a select that works using solution from this page
SELECT
id,
GROUP_CONCAT(if(colID = 1, value, NULL)) AS 'First Name',
GROUP_CONCAT(if(colID = 2, value, NULL)) AS 'Last Name',
GROUP_CONCAT(if(colID = 3, value, NULL)) AS 'Job Title'
FROM tbl
GROUP BY id;
However, I want to omit rows that have the value to be null
I assume you want to drop the result row if any of the source rows has value IS NULL.
You should be able to achieve that with bit_and() in the HAVING clause:
SELECT id
, max(CASE WHEN colID = 1 THEN value END) AS fn
, max(CASE WHEN colID = 2 THEN value END) AS ln
, max(CASE WHEN colID = 3 THEN value END) AS jt
FROM tbl
GROUP BY id
HAVING bit_and(value IS NOT NULL);
Alternative:
...
HAVING count(*) = count(value);
I didn't spell out ELSE NULL in the CASE statements because (per documentation):
If there was no matching result value, the result after ELSE is returned, or NULL if there is no ELSE part.
Just add this constraint to the where statement of your query, like this:
SELECT
id,
GROUP_CONCAT(if(colID = 1, value, NULL)) AS 'First Name',
GROUP_CONCAT(if(colID = 2, value, NULL)) AS 'Last Name',
GROUP_CONCAT(if(colID = 3, value, NULL)) AS 'Job Title'
FROM tbl
WHERE value IS NOT NULL
GROUP BY id;
EDIT
After some tests I could make a solution to work, but it seems interesting why value is not null won't work.
Solution link: http://sqlfiddle.com/#!2/b7a445/3
SELECT
id,
max(case when colID = 1 then value else '' end) AS fn,
max(case when colID = 2 then value else '' end) AS ln,
max(case when colID = 3 then value else '' end) AS jt
FROM tbl
where not exists (select * from tbl b where tbl.id=b.id and value is null)
group by id

Select more than 1 columns on condition

Tell please how can select 2 or more columns on condition? I trying this, but not works
SELECT
CASE
WHEN 1=1 THEN 'A', 'B'
ELSE 'C', 'D'
END
If trying select only 1 value
WHEN 1=1 THEN 'A'
ELSE 'C'
it works
Use two CASE expressions:
SELECT
CASE WHEN 1 = 1 THEN 'A' ELSE 'C' END,
CASE WHEN 1 = 1 THEN 'B' ELSE 'D' END
You need to write separately.
SELECT
IF(1=1, 'A', 'C'),
IF(1=1, 'B', 'D')