How to get list of database with condition in t-sql - tsql

How can i get list of databases?
Select database if have table "test_table".
I don't now how to set condition in
SELECT * FROM master.dbo.sysdatabases


You can build a dynamic query that checks sys.tables in each database.
declare #S1 nvarchar(max)
declare #S2 nvarchar(max)
set #S2 = ' union all select ''[DBNAME]'' from [DBNAME].sys.tables where name = ''test_table'''
select #S1 = stuff((select replace(#S2, '[DBNAME]', quotename(name))
from master.dbo.sysdatabases
for xml path('')), 1, 11, '')
exec (#S1)

Related

pivot or reshapre sql [duplicate]

I've been tasked with coming up with a means of translating the following data:
date category amount
1/1/2012 ABC 1000.00
2/1/2012 DEF 500.00
2/1/2012 GHI 800.00
2/10/2012 DEF 700.00
3/1/2012 ABC 1100.00
into the following:
date ABC DEF GHI
1/1/2012 1000.00
2/1/2012 500.00
2/1/2012 800.00
2/10/2012 700.00
3/1/2012 1100.00
The blank spots can be NULLs or blanks, either is fine, and the categories would need to be dynamic. Another possible caveat to this is that we'll be running the query in a limited capacity, which means temp tables are out. I've tried to research and have landed on PIVOT but as I've never used that before I really don't understand it, despite my best efforts to figure it out. Can anyone point me in the right direction?

Dynamic SQL PIVOT:
create table temp
(
date datetime,
category varchar(3),
amount money
)
insert into temp values ('1/1/2012', 'ABC', 1000.00)
insert into temp values ('2/1/2012', 'DEF', 500.00)
insert into temp values ('2/1/2012', 'GHI', 800.00)
insert into temp values ('2/10/2012', 'DEF', 700.00)
insert into temp values ('3/1/2012', 'ABC', 1100.00)
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(c.category)
FROM temp c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT date, ' + #cols + ' from
(
select date
, amount
, category
from temp
) x
pivot
(
max(amount)
for category in (' + #cols + ')
) p '
execute(#query)
drop table temp
Results:
Date ABC DEF GHI
2012-01-01 00:00:00.000 1000.00 NULL NULL
2012-02-01 00:00:00.000 NULL 500.00 800.00
2012-02-10 00:00:00.000 NULL 700.00 NULL
2012-03-01 00:00:00.000 1100.00 NULL NULL

Dynamic SQL PIVOT
Different approach for creating columns string
create table #temp
(
date datetime,
category varchar(3),
amount money
)
insert into #temp values ('1/1/2012', 'ABC', 1000.00)
insert into #temp values ('2/1/2012', 'DEF', 500.00)
insert into #temp values ('2/1/2012', 'GHI', 800.00)
insert into #temp values ('2/10/2012', 'DEF', 700.00)
insert into #temp values ('3/1/2012', 'ABC', 1100.00)
DECLARE #cols AS NVARCHAR(MAX)='';
DECLARE #query AS NVARCHAR(MAX)='';
SELECT #cols = #cols + QUOTENAME(category) + ',' FROM (select distinct category from #temp ) as tmp
select #cols = substring(#cols, 0, len(#cols)) --trim "," at end
set #query =
'SELECT * from
(
select date, amount, category from #temp
) src
pivot
(
max(amount) for category in (' + #cols + ')
) piv'
execute(#query)
drop table #temp
Result
date ABC DEF GHI
2012-01-01 00:00:00.000 1000.00 NULL NULL
2012-02-01 00:00:00.000 NULL 500.00 800.00
2012-02-10 00:00:00.000 NULL 700.00 NULL
2012-03-01 00:00:00.000 1100.00 NULL NULL

I know this question is older but I was looking thru the answers and thought that I might be able to expand on the "dynamic" portion of the problem and possibly help someone out.
First and foremost I built this solution to solve a problem a couple of coworkers were having with inconstant and large data sets needing to be pivoted quickly.
This solution requires the creation of a stored procedure so if that is out of the question for your needs please stop reading now.
This procedure is going to take in the key variables of a pivot statement to dynamically create pivot statements for varying tables, column names and aggregates. The Static column is used as the group by / identity column for the pivot(this can be stripped out of the code if not necessary but is pretty common in pivot statements and was necessary to solve the original issue), the pivot column is where the end resultant column names will be generated from, and the value column is what the aggregate will be applied to. The Table parameter is the name of the table including the schema (schema.tablename) this portion of the code could use some love because it is not as clean as I would like it to be. It worked for me because my usage was not publicly facing and sql injection was not a concern. The Aggregate parameter will accept any standard sql aggregate 'AVG', 'SUM', 'MAX' etc. The code also defaults to MAX as an aggregate this is not necessary but the audience this was originally built for did not understand pivots and were typically using max as an aggregate.
Lets start with the code to create the stored procedure. This code should work in all versions of SSMS 2005 and above but I have not tested it in 2005 or 2016 but I can not see why it would not work.
create PROCEDURE [dbo].[USP_DYNAMIC_PIVOT]
(
#STATIC_COLUMN VARCHAR(255),
#PIVOT_COLUMN VARCHAR(255),
#VALUE_COLUMN VARCHAR(255),
#TABLE VARCHAR(255),
#AGGREGATE VARCHAR(20) = null
)
AS
BEGIN
SET NOCOUNT ON;
declare #AVAIABLE_TO_PIVOT NVARCHAR(MAX),
#SQLSTRING NVARCHAR(MAX),
#PIVOT_SQL_STRING NVARCHAR(MAX),
#TEMPVARCOLUMNS NVARCHAR(MAX),
#TABLESQL NVARCHAR(MAX)
if isnull(#AGGREGATE,'') = ''
begin
SET #AGGREGATE = 'MAX'
end
SET #PIVOT_SQL_STRING = 'SELECT top 1 STUFF((SELECT distinct '', '' + CAST(''[''+CONVERT(VARCHAR,'+ #PIVOT_COLUMN+')+'']'' AS VARCHAR(50)) [text()]
FROM '+#TABLE+'
WHERE ISNULL('+#PIVOT_COLUMN+','''') <> ''''
FOR XML PATH(''''), TYPE)
.value(''.'',''NVARCHAR(MAX)''),1,2,'' '') as PIVOT_VALUES
from '+#TABLE+' ma
ORDER BY ' + #PIVOT_COLUMN + ''
declare #TAB AS TABLE(COL NVARCHAR(MAX) )
INSERT INTO #TAB EXEC SP_EXECUTESQL #PIVOT_SQL_STRING, #AVAIABLE_TO_PIVOT
SET #AVAIABLE_TO_PIVOT = (SELECT * FROM #TAB)
SET #TEMPVARCOLUMNS = (SELECT replace(#AVAIABLE_TO_PIVOT,',',' nvarchar(255) null,') + ' nvarchar(255) null')
SET #SQLSTRING = 'DECLARE #RETURN_TABLE TABLE ('+#STATIC_COLUMN+' NVARCHAR(255) NULL,'+#TEMPVARCOLUMNS+')
INSERT INTO #RETURN_TABLE('+#STATIC_COLUMN+','+#AVAIABLE_TO_PIVOT+')
select * from (
SELECT ' + #STATIC_COLUMN + ' , ' + #PIVOT_COLUMN + ', ' + #VALUE_COLUMN + ' FROM '+#TABLE+' ) a
PIVOT
(
'+#AGGREGATE+'('+#VALUE_COLUMN+')
FOR '+#PIVOT_COLUMN+' IN ('+#AVAIABLE_TO_PIVOT+')
) piv
SELECT * FROM #RETURN_TABLE'
EXEC SP_EXECUTESQL #SQLSTRING
END
Next we will get our data ready for the example. I have taken the data example from the accepted answer with the addition of a couple of data elements to use in this proof of concept to show the varied outputs of the aggregate change.
create table temp
(
date datetime,
category varchar(3),
amount money
)
insert into temp values ('1/1/2012', 'ABC', 1000.00)
insert into temp values ('1/1/2012', 'ABC', 2000.00) -- added
insert into temp values ('2/1/2012', 'DEF', 500.00)
insert into temp values ('2/1/2012', 'DEF', 1500.00) -- added
insert into temp values ('2/1/2012', 'GHI', 800.00)
insert into temp values ('2/10/2012', 'DEF', 700.00)
insert into temp values ('2/10/2012', 'DEF', 800.00) -- addded
insert into temp values ('3/1/2012', 'ABC', 1100.00)
The following examples show the varied execution statements showing the varied aggregates as a simple example. I did not opt to change the static, pivot, and value columns to keep the example simple. You should be able to just copy and paste the code to start messing with it yourself
exec [dbo].[USP_DYNAMIC_PIVOT] 'date','category','amount','dbo.temp','sum'
exec [dbo].[USP_DYNAMIC_PIVOT] 'date','category','amount','dbo.temp','max'
exec [dbo].[USP_DYNAMIC_PIVOT] 'date','category','amount','dbo.temp','avg'
exec [dbo].[USP_DYNAMIC_PIVOT] 'date','category','amount','dbo.temp','min'
This execution returns the following data sets respectively.

Updated version for SQL Server 2017 using STRING_AGG function to construct the pivot column list:
create table temp
(
date datetime,
category varchar(3),
amount money
);
insert into temp values ('20120101', 'ABC', 1000.00);
insert into temp values ('20120201', 'DEF', 500.00);
insert into temp values ('20120201', 'GHI', 800.00);
insert into temp values ('20120210', 'DEF', 700.00);
insert into temp values ('20120301', 'ABC', 1100.00);
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = (SELECT STRING_AGG(category,',') FROM (SELECT DISTINCT category FROM temp WHERE category IS NOT NULL)t);
set #query = 'SELECT date, ' + #cols + ' from
(
select date
, amount
, category
from temp
) x
pivot
(
max(amount)
for category in (' + #cols + ')
) p ';
execute(#query);
drop table temp;

There's my solution cleaning up the unnecesary null values
DECLARE #cols AS NVARCHAR(MAX),
#maxcols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(CodigoFormaPago)
from PO_FormasPago
order by CodigoFormaPago
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
select #maxcols = STUFF((SELECT ',MAX(' + QUOTENAME(CodigoFormaPago) + ') as ' + QUOTENAME(CodigoFormaPago)
from PO_FormasPago
order by CodigoFormaPago
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT CodigoProducto, DenominacionProducto, ' + #maxcols + '
FROM
(
SELECT
CodigoProducto, DenominacionProducto,
' + #cols + ' from
(
SELECT
p.CodigoProducto as CodigoProducto,
p.DenominacionProducto as DenominacionProducto,
fpp.CantidadCuotas as CantidadCuotas,
fpp.IdFormaPago as IdFormaPago,
fp.CodigoFormaPago as CodigoFormaPago
FROM
PR_Producto p
LEFT JOIN PR_FormasPagoProducto fpp
ON fpp.IdProducto = p.IdProducto
LEFT JOIN PO_FormasPago fp
ON fpp.IdFormaPago = fp.IdFormaPago
) xp
pivot
(
MAX(CantidadCuotas)
for CodigoFormaPago in (' + #cols + ')
) p
) xx
GROUP BY CodigoProducto, DenominacionProducto'
t #query;
execute(#query);

The below code provides the results which replaces NULL to zero in the output.
Table creation and data insertion:
create table test_table
(
date nvarchar(10),
category char(3),
amount money
)
insert into test_table values ('1/1/2012','ABC',1000.00)
insert into test_table values ('2/1/2012','DEF',500.00)
insert into test_table values ('2/1/2012','GHI',800.00)
insert into test_table values ('2/10/2012','DEF',700.00)
insert into test_table values ('3/1/2012','ABC',1100.00)
Query to generate the exact results which also replaces NULL with zeros:
DECLARE #DynamicPivotQuery AS NVARCHAR(MAX),
#PivotColumnNames AS NVARCHAR(MAX),
#PivotSelectColumnNames AS NVARCHAR(MAX)
--Get distinct values of the PIVOT Column
SELECT #PivotColumnNames= ISNULL(#PivotColumnNames + ',','')
+ QUOTENAME(category)
FROM (SELECT DISTINCT category FROM test_table) AS cat
--Get distinct values of the PIVOT Column with isnull
SELECT #PivotSelectColumnNames
= ISNULL(#PivotSelectColumnNames + ',','')
+ 'ISNULL(' + QUOTENAME(category) + ', 0) AS '
+ QUOTENAME(category)
FROM (SELECT DISTINCT category FROM test_table) AS cat
--Prepare the PIVOT query using the dynamic
SET #DynamicPivotQuery =
N'SELECT date, ' + #PivotSelectColumnNames + '
FROM test_table
pivot(sum(amount) for category in (' + #PivotColumnNames + ')) as pvt';
--Execute the Dynamic Pivot Query
EXEC sp_executesql #DynamicPivotQuery
OUTPUT :

A version of Taryn's answer with performance improvements:
Data
CREATE TABLE dbo.Temp
(
[date] datetime NOT NULL,
category nchar(3) NOT NULL,
amount money NOT NULL,
INDEX [CX dbo.Temp date] CLUSTERED ([date]),
INDEX [IX dbo.Temp category] NONCLUSTERED (category)
);
INSERT dbo.Temp
([date], category, amount)
VALUES
({D '2012-01-01'}, N'ABC', $1000.00),
({D '2012-01-02'}, N'DEF', $500.00),
({D '2012-01-02'}, N'GHI', $800.00),
({D '2012-02-10'}, N'DEF', $700.00),
({D '2012-03-01'}, N'ABC', $1100.00);
Dynamic pivot
DECLARE
#Delimiter nvarchar(4000) = N',',
#DelimiterLength bigint,
#Columns nvarchar(max),
#Query nvarchar(max);
SET #DelimiterLength = LEN(REPLACE(#Delimiter, SPACE(1), N'#'));
-- Before SQL Server 2017
SET #Columns =
STUFF
(
(
SELECT
[text()] = #Delimiter,
[text()] = QUOTENAME(T.category)
FROM dbo.Temp AS T
WHERE T.category IS NOT NULL
GROUP BY T.category
ORDER BY T.category
FOR XML PATH (''), TYPE
)
.value(N'text()[1]', N'nvarchar(max)'),
1, #DelimiterLength, SPACE(0)
);
-- Alternative for SQL Server 2017+ and database compatibility level 110+
SELECT #Columns =
STRING_AGG(CONVERT(nvarchar(max), QUOTENAME(T.category)), N',')
WITHIN GROUP (ORDER BY T.category)
FROM
(
SELECT T2.category
FROM dbo.Temp AS T2
WHERE T2.category IS NOT NULL
GROUP BY T2.category
) AS T;
IF #Columns IS NOT NULL
BEGIN
SET #Query =
N'SELECT [date], ' +
#Columns +
N'
FROM
(
SELECT [date], amount, category
FROM dbo.Temp
) AS S
PIVOT
(
MAX(amount)
FOR category IN (' +
#Columns +
N')
) AS P;';
EXECUTE sys.sp_executesql #Query;
END;
Execution plans
Results
date
ABC
DEF
GHI
2012-01-01 00:00:00.000
1000.00
NULL
NULL
2012-01-02 00:00:00.000
NULL
500.00
800.00
2012-02-10 00:00:00.000
NULL
700.00
NULL
2012-03-01 00:00:00.000
1100.00
NULL
NULL

CREATE TABLE #PivotExample(
[ID] [nvarchar](50) NULL,
[Description] [nvarchar](50) NULL,
[ClientId] [smallint] NOT NULL,
)
GO
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI1','ACI1Desc1',1008)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI1','ACI1Desc2',2000)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI1','ACI1Desc3',3000)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI1','ACI1Desc4',4000)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI2','ACI2Desc1',5000)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI2','ACI2Desc2',6000)
INSERT #PivotExample ([ID],[Description], [ClientId]) VALUES ('ACI2','ACI2Desc3', 7000)
SELECT * FROM #PivotExample
--Declare necessary variables
DECLARE #SQLQuery AS NVARCHAR(MAX)
DECLARE #PivotColumns AS NVARCHAR(MAX)
--Get unique values of pivot column
SELECT #PivotColumns= COALESCE(#PivotColumns + ',','') + QUOTENAME([Description])
FROM (SELECT DISTINCT [Description] FROM [dbo].#PivotExample) AS PivotExample
--SELECT #PivotColumns
--Create the dynamic query with all the values for
--pivot column at runtime
SET #SQLQuery =
N' -- Your pivoted result comes here
SELECT ID, ' + #PivotColumns + '
FROM
(
-- Source table should in a inner query
SELECT ID,[Description],[ClientId]
FROM #PivotExample
)AS P
PIVOT
(
-- Select the values from derived table P
SUM(ClientId)
FOR [Description] IN (' + #PivotColumns + ')
)AS PVTTable'
--SELECT #SQLQuery
--Execute dynamic query
EXEC sp_executesql #SQLQuery
Drop table #PivotExample

Fully generic way that will work in non-traditional MS SQL environments (e.g. Azure Synapse Analytics Serverless SQL Pools) - it's in a SPROC but no need to use as such...
-- DROP PROCEDURE IF EXISTS
if object_id('dbo.usp_generic_pivot') is not null
DROP PROCEDURE dbo.usp_generic_pivot
GO;
CREATE PROCEDURE dbo.usp_generic_pivot (
#source NVARCHAR (100), -- table or view object name
#pivotCol NVARCHAR (100), -- the column to pivot
#pivotAggCol NVARCHAR (100), -- the column with the values for the pivot
#pivotAggFunc NVARCHAR (20), -- the aggregate function to apply to those values
#leadCols NVARCHAR (100) -- comma seprated list of other columns to keep and order by
)
AS
BEGIN
DECLARE #pivotedColumns NVARCHAR(MAX)
DECLARE #tsql NVARCHAR(MAX)
SET #tsql = CONCAT('SELECT #pivotedColumns = STRING_AGG(qname, '','') FROM (SELECT DISTINCT QUOTENAME(', #pivotCol,') AS qname FROM ',#source, ') AS qnames')
EXEC sp_executesql #tsql, N'#pivotedColumns nvarchar(max) out', #pivotedColumns out
SET #tsql = CONCAT ( 'SELECT ', #leadCols, ',', #pivotedColumns,' FROM ',' ( SELECT ',#leadCols,',',
#pivotAggCol,',', #pivotCol, ' FROM ', #source, ') as t ',
' PIVOT (', #pivotAggFunc, '(', #pivotAggCol, ')',' FOR ', #pivotCol,
' IN (', #pivotedColumns,')) as pvt ',' ORDER BY ', #leadCols)
EXEC (#tsql)
END
GO;
-- TEST EXAMPLE
EXEC dbo.usp_generic_pivot
#source = '[your_db].[dbo].[form_answers]',
#pivotCol = 'question',
#pivotAggCol = 'answer',
#pivotAggFunc = 'MAX',
#leadCols = 'candidate_id, candidate_name'
GO;

T-SQL: Get a tab-separated list of column names in a table - What's wrong with my example?

This SQL returns a comma-separated list of column names for the table 'MyTable'
DECLARE #colnames VARCHAR(max);
SELECT
#colnames = COALESCE(#colnames + ',', '') + column_name
FROM
CORP_MLR_Rebates.INFORMATION_SCHEMA.COLUMNS
WHERE
table_name = 'MyTable';
SELECT #colnames;
Why doesn't the following give me a tab-separated list the same columns? Instead, it is space-separated.
DECLARE #colnames VARCHAR(max);
SELECT
#colnames = COALESCE(#colnames + char(9), '') + column_name
FROM
CORP_MLR_Rebates.INFORMATION_SCHEMA.COLUMNS
WHERE
table_name = 'MyTable';
SELECT #colnames;

In my testing it does work, I guess it just depends on how you retrieve the results (I have to output the result to a file to get the correct results)

You will likely get spaces using the SSMS GUI. Returning the results as text or to a file will give you tabs; e.g. CHAR(9). Consider these three queries that all do the job:
;--== 1. Updatable Variable
DECLARE #colnames VARCHAR(max);
SELECT #colnames = COALESCE(#colnames + CHAR(9), '') + column_name
FROM INFORMATION_SCHEMA.COLUMNS AS c;
SELECT ColNames = #colnames;
;--== 2. Using STRING_AGG
SELECT ColNames = STRING_AGG(c.COLUMN_NAME , CHAR(9))
FROM INFORMATION_SCHEMA.COLUMNS AS c;
;--== 3. Using FOR XML PATH
SELECT ColNames =
(SELECT c.COLUMN_NAME+CHAR(9) FROM INFORMATION_SCHEMA.COLUMNS AS c FOR XML PATH(''));
Results:
If we switch to Results as Text:
Now we get (note the tabs):

Execute result of a PostgreSQL query again to get the final result set?

I'm looking for a way to get the list of all json attributes across all my PostgreSQL tables dynamically.
I have Query 1 which would generate a list of sql statements, and then run that sql statements to get the final output all in one go (like the dynamic SQL concept in SQL server).
Query 1 looks like this :
create temporary table test (ordr int, field varchar(1000));
-- Step 1 Create temp table to insert all table/col/json attrbute info
insert into test(ordr,field)
select 0 ordr,'create temporary table temp_table
( table_schema varchar(200)
,table_name varchar(200)
,column_name varchar(200)
,json_attribute varchar(200)
,data_type varchar(50)
);'
union
-- Non json type columns
select 1 ordr, 'insert into temp_table(table_name, column_name,data_type,json_attribute)'
union
-- Json columns with data like json object
select
3 ordr,
concat('select distinct ''', t.table_name, ''' tbl, ''', c.column_name, ''' col, ''' , c.data_type,''' data_type, '
,'jsonb_object_keys(', c.column_name, ') json_attribute', ' from ', t.table_name,
' where jsonb_typeof(' , c.column_name, ') = ''object'' union') AS field
from information_schema.tables t
join information_schema.columns c on c.table_name = t.table_name
where t.table_schema not in ('information_schema', 'pg_catalog')
--and table_type = 'BASE TABLE'
and c.data_type ='jsonb';
--final sql statements to build temp table
--copy all the column "txt" to a separate window and execute it, it will create a temp table "temp_table" which will have all tables/cols/json attributes
select ordr
,(case when t.ordr = (select max(t2.ordr) from test t2) then replace(field,'union','') else field end) txt
from test t
union
select 9999, ';select * from temp_table;'
order by 1 ;
Query 1 output : This is a list of sql statements
I'm looking for a way to run the Query 1 & Query 1 output which would get me the final output all in one go.
Any lead or guidance will be really appreciated.

t-sql select column names from all tables where there is at least 1 null value

Context: I am exploring a new database (in MS SQL server), and I want to know for each table, all columns that have null values.
I.e. result would look something like this:
table column nulls
Tbl1 Col1 8
I have found this code here on stackoverflow, that makes a table of table-columnnames - without the WHERE statement which is my addition.
I tried to filter for nulls in WHERE statement, but then the table ends up empty, and I see why - i am checking if the col name is actually null, and not its contents. But can't figure out how to proceed.
select schema_name(tab.schema_id) as schema_name,
tab.name as table_name,
col.name as column_name
from sys.tables as tab
inner join sys.columns as col
on tab.object_id = col.object_id
left join sys.types as t
on col.user_type_id = t.user_type_id
-- in this where statement, I am trying to filter for nulls, but i get an empty result. and i know there are nulls
where col.name is null
order by schema_name, table_name, column_id
I also tried this (see 4th line):
select schema_name(tab.schema_id) as schema_name,
tab.name as table_name,
col.name as column_name
,(select count(*) from tab.name where col.name is null) as countnulls
from sys.tables as tab
inner join sys.columns as col
on tab.object_id = col.object_id
left join sys.types as t
on col.user_type_id = t.user_type_id
order by schema_name, table_name, column_id
the last one returns an error "Invalid object name 'tab.name'."

column name can't be null but if you mean nullable column (column that accept null value) that has null value at least so you can use following statement:
declare #schema varchar(255), #table varchar(255), #col varchar(255), #cmd varchar(max)
DECLARE getinfo cursor for
SELECT schema_name(tab.schema_id) as schema_name,tab.name , col.name from sys.tables as tab
inner join sys.columns as col on tab.object_id = col.object_id
where col.is_nullable =1
order by schema_name(tab.schema_id),tab.name,col.name
OPEN getinfo
FETCH NEXT FROM getinfo into #schema,#table,#col
WHILE ##FETCH_STATUS = 0
BEGIN
set #schema = QUOTENAME(#schema)
set #table = QUOTENAME(#table)
set #col = QUOTENAME(#col)
SELECT #cmd = 'IF EXISTS (SELECT 1 FROM '+ #schema +'.'+ #table +' WHERE ' + #col + ' IS NULL) BEGIN SELECT '''+#schema+''' as schemaName, '''+#table+''' as tablename, '''+#col+''' as columnName, * FROM '+ #schema +'.'+ #table +' WHERE ' + #col + ' IS NULL end'
EXEC(#cmd)
FETCH NEXT FROM getinfo into #schema,#table,#col
END
CLOSE getinfo
DEALLOCATE getinfo
that use cursor on all nullable columns in every table in the Database then check if this column has at least one null value if yes will select schema Name, table name, column name and all records that has null value in this column
but if you want to get only count of nulls you can use the following statement:
declare #schema varchar(255), #table varchar(255), #col varchar(255), #cmd varchar(max)
DECLARE getinfo cursor for
SELECT schema_name(tab.schema_id) as schema_name,tab.name , col.name from sys.tables as tab
inner join sys.columns as col on tab.object_id = col.object_id
where col.is_nullable =1
order by schema_name(tab.schema_id),tab.name,col.name
OPEN getinfo
FETCH NEXT FROM getinfo into #schema,#table,#col
WHILE ##FETCH_STATUS = 0
BEGIN
set #schema = QUOTENAME(#schema)
set #table = QUOTENAME(#table)
set #col = QUOTENAME(#col)
SELECT #cmd = 'IF EXISTS (SELECT 1 FROM '+ #schema +'.'+ #table +' WHERE ' + #col + ' IS NULL) BEGIN SELECT '''+#schema+''' as schemaName, '''+#table+''' as tablename, '''+#col+''' as columnName, count(*) as nulls FROM '+ #schema +'.'+ #table +' WHERE ' + #col + ' IS NULL end'
EXEC(#cmd)
FETCH NEXT FROM getinfo into #schema,#table,#col
END
that use cursor on all nullable columns in every table in the Database then check if this column has at least one null value if yes will select schema Name, table name, column name and count all records that has null value in this column

Passing In Array Like Variables T-SQL

I can someone help me turn this sql into a stored proc..
select * from voilets
where cfrw = 'F16'
UNION
(select *
from voilets
where cfrw in ('B05','B12','R02','F01','F16','F17','U11','U03','U04','U21'))
ORDER BY DSCA
Where 'F16 is a variable called #default
and
'B05','B12','R02','F01','F16','F17','U11','U03','U04','U21' is an array of #voilets
This is not working for me:
#sCarrierSelect varchar(max)
AS
BEGIN
declare #SQL nvarchar(4000)
set #SQL = '
select * from voilets
where t_cfrw = ' + #default + '
UNION
(select *
from carriers
where t_cfrw in (' + #voilets+'))
ORDER BY T_DSCA
'
print #SQL
exec sp_executesql #SQL
END

IF you SQL Server IS >=2008 then:
USE tempdb;
GO
CREATE TABLE voilets
(cfrw char(3), DSCA int)
go
INSERT INTO voilets VALUES ('R02', 2)
INSERT INTO voilets VALUES ('F16', 5)
INSERT INTO voilets VALUES ('F16', 4)
INSERT INTO voilets VALUES ('X77', 9)
go
CREATE TYPE myType AS TABLE (id CHAR(3));
GO
CREATE PROCEDURE usp_myProc
#default char(3),
#voiletsTVP myType READONLY
AS
select * from voilets
where cfrw = #default
UNION
(select *
from voilets
where cfrw in (SELECT * FROM #voiletsTVP))
ORDER BY DSCA
GO
-------------------------
DECLARE #default char(3)
SET #default='F16'
DECLARE #voiletsTVP AS myType;
INSERT INTO #voiletsTVP SELECT * FROM (VALUES ('B05'),('B12'),('R02'),('F01'),('F16'),('F17'),('U11'),('U03'),('U04'),('U21')) q(x)
EXEC usp_myProc #default,#voiletsTVP
GO
Result-set:
cfrw DSCA
R02 2
F16 4
F16 5

Performing that safely in a sproc is actually quite tricky; there are a few common approaches:
use a udf to split a string on a token - google for "split udf" (there will be many), and join on the results
use a table valued parameter
Personally, I rarely use sprocs these days; I'd use dapper:
List<string> foo = ...
var items = conn.Query<SomeType>(
"select * from [table] where colName in #foo", new { foo }).ToList();
Most LINQ providers and ORMs will have options here too, involving Contains etc.

You can learn about Passing Arrays in SQL Parameters using XML Data Type in SQL Server 2005
See sample:
/* for this xml:
<list>
<item>42</item>
<item>73</item>
<item>2007</item>
</list>
*/
CREATE FUNCTION [lm].[SplitList]
(
#list AS XML
)
RETURNS TABLE
AS
RETURN
(
SELECT tempTable.item.value('.', 'VARCHAR(MAX)') AS Item
FROM #list.nodes('list/item') tempTable(item)
);

Why not use a sql CLR function to split your values, passing those into your procedure. Here is a very good and fast split string implementation: CLR Split String. If you can't use sql clr, then look online for 'sql split string'. Whichever you use you put the result of that work into a temporary table and join that to your main table.