I have two select statements which are to create table and insert values into table. How to execute all the queries inside the column at one go? Below is my code and the output:
select n.*
into #norm
from specNormalization n
select n.*
into #raw
from rawdata n
select distinct 'CREATE TABLE raw' + c.desttablename + ' (' + STUFF(
(select ','+QUOTENAME( c.[destfieldname] ) + c.datatype
from #norm c
group by c.destfieldname, c.datatype
for xml path ('')),1,1,'') as createTableSQL
select distinct 'INSERT INTO raw' + c.desttablename +
select d.contents
from #raw d join #norm c on d.tablename = c.desttablename
as insertTableSQL
rawdata table
desttablename
destfieldname
datatype
rawtable
SbjNum
int
rawtable
Surveyor
nvarchar(20)
rawtable
Location
nvarchar(20)
rawtable2
SbjNum
int
rawtable2
Name
nvarchar(20)
rawtable2
Address
nvarchar(20)
specnomalization table
tablename
destfieldname
contents
rawtable
SbjNum
1
rawtable
Surveyor
Alex
rawtable
Location
Georgia
rawtable2
SbjNum
1
rawtable2
Name
Sandra
rawtable2
Address
Portland
createTableSQL
CREATE TABLE rawtable ([Sbjnum])int, ([Surveyor])nvarchar(200), ([Location])nvarchar(200)
CREATE TABLE rawtable2 ([Sbjnum])int, ([Name])nvarchar(200), ([Address])nvarchar(200)
insertTableSQL
INSERT INTO rawtable SELECT [Sbjnum], [Surveyor], [Location] from #raw
INSERT INTO rawtable2 SELECT [Sbjnum], [Name], [Address] from #raw
You can create the create query by using stuff. Since you would have multiple tables so you have to group by the query to return multiple table names and it's columns separately. So the result query you can set into a variable and can execute by using
EXEC sp_executesql
So you can easily create as much as tables based on your table data.
The following query will help you to create multiple tables. This you can optimize if needed, but this will give you the insight to do the same for inserting values to the tables respectively.
Declare #sql nvarchar(MAX) = ( SELECT ' CREATE TABLE '+ desttablename +' (' + STUFF((SELECT ', ' + sn.[destfieldname] + ' ' +datatype
FROM dbo.specNormalization As sn
ORDER BY sn.destfieldname
FOR XML PATH(''), TYPE).value('.[1]', 'varchar(max)'), 1, 2, '') + ' )'
FROM dbo.specNormalization as P2
GROUP BY P2.desttablename FOR XML PATH('') )
-- Uncomment to see the created query
-- SELECT #sql
-- To execute the created query. This will create the tables with column and datatype
EXEC sp_executesql #sql
Hope this helps. Happy coding :)
Too long for a comment. Try to generate SELECT .. INTO .. FROM to create and populate a target table. Kind of
SELECT cast([Sbjnum] as int) [Sbjnum], cast([Surveyor] as nvarchar(200)) [Surveyor], cast([Location] as nvarchar(200)) [Location]
INTO rawtable
FROM #raw
If the source types are the same as target, skip cast functions. Can't tell what is the query to generate it as no sample data are provided.
I have 2 tables(Table1 and Table2). Both tables schema are exactly the same and both might have duplicated set of records except IDs since ID is auto generated.
I would like to get the common set of records but with ID to follow as Table1's ID. So, I query using Inner join. It works as I expected.
SELECT Table1.ID, Table1.Param1, Table1.Param2, Table1.Param3
INTO #Common
FROM Table1
INNER JOIN Table2 ON Table1.Param1 = Table2.Param1
AND Table1.Param2 = Table2.Param2
AND Table1.Param3 = Table2.Param3
However, in actual usage, the total number of parameters in both tables will be around 100. So, the total number of comparison inside ON clause will increase up to 100.
How can I do inner join by excluding one column instead of comparing all columns in ON clause?
By removing ID column from both tables and doing intersect also no possible since I still want to extract Table1 ID for other purpose.
I can achieve the common of 2 table by removing ID and compare those 2 table.
However, that still do not serve my requirement, since I need to get Table1 ID for those common data.
SELECT * INTO #TemporaryTable1 FROM Table1
ALTER TABLE #TemporaryTable1 DROP COLUMN ID
SELECT * INTO #TemporaryTable2 FROM Table2
ALTER TABLE #TemporaryTable2 DROP COLUMN ID
SELECT * INTO #Common FROM (SELECT * FROM #TemporaryTable1 INTERSECT SELECT * FROM #TemporaryTable2) data
SELECT * FROM #Common
If i understood your problem correctly i guess you could generate dynamically the query you want to use using the following code :
DECLARE #SQL nvarchar(max) = 'SELECT ',
#TBL1 nvarchar(50) = 'data',
#TBL2 nvarchar(50) = 'data1',
#EXCLUDEDCOLUMNS nvarchar(100)= 'ID,col1'
-- column selection
SELECT #sql += #tbl1 + '.' + COLUMN_NAME + ' ,
'
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = #TBL1
-- from clause and remove last ,
set #SQL = LEFT(#sql,LEN(#sql) - 5)
SET #sql += '
FROM ' + #TBL1 + ' INNER JOIN
' + #TBL2 + '
ON '
-- define the on clause
SELECt #SQL += #tbl1 + '.' + COLUMN_NAME + ' = '+ #tbl2 + '.' + COLUMN_NAME +',
'
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = #TBL1
AND COLUMN_NAME not in (#EXCLUDEDCOLUMNS)
--remove last ,
set #SQL = LEFT(#sql,LEN(#sql) - 3)
--SELECt #SQL
EXEC SP_EXECUTESQL #sql
Before you execute make sure the #sql is properly generated. choose the columns you want to exclude from your on clause using the #EXCLUDEDCOLUMNS parameter.
We have two tables that we need to merge into a singular view. Normally I'd individually select columns to avoid this issue, however in this case the two tables are a combined 800 columns.
The only identical columns are the identifier columns. Unfortunately these cannot be changed as they are used by a 3rd party tool to sync table
Table A
GUID
Name
Address
...
Table B
GUID
Cell
Fax
Home2
...
Are good examples, just assume each table has 400 odd columns.
Obviously the traditional
SELECT a.*, b.* from table_a a, table_b a where a.guid = b.guid
Fails miserably. Is there any easy way to create the view without having to list out 799 individual column names? I was thinking perhaps a one off function to create the view but so far I'm hitting a wall.
You can use dynamic sql as a solution.
CREATE TABLE test1 (id INT, col1 NVARCHAR(50), col2 NVARCHAR(50))
GO
CREATE TABLE test2(id INT, col1 NVARCHAR(50), col2 NVARCHAR(50))
GO
DECLARE #sql NVARCHAR(max) = ''
; WITH cte AS (
SELECT
CASE WHEN TABLE_NAME = 'test1' THEN TABLE_NAME + '.' + COLUMN_NAME + ' AS ' + + COLUMN_NAME + 't1' ELSE TABLE_NAME + '.' + COLUMN_NAME + ' AS ' + + COLUMN_NAME + 't2' END AS a, 1 AS ID
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME IN ('test1', 'test2')
)
SELECT #sql =
'CREATE VIEW myview as
select ' + (
SELECT
STUFF(
(
SELECT ', '+ [A]
FROM cte
WHERE ID = results.ID
FOR XML PATH(''), TYPE
).value('(./text())[1]','VARCHAR(MAX)')
,1,2,''
) AS NameValues
FROM cte results
GROUP BY ID
) + ' from test1 join test2 on test1.id = test2.id'
PRINT #sql
--EXEC (#sql)
The result is
CREATE VIEW myview
AS
SELECT test1.id AS idt1 ,
test1.col1 AS col1t1 ,
test1.col2 AS col2t1 ,
test2.id AS idt2 ,
test2.col1 AS col1t2 ,
test2.col2 AS col2t2
FROM test1
JOIN test2 ON test1.id = test2.id
I've made some research on the matter but don't have solution yet. What I want to get is column-level dependencies in a view. So, let's say we have a table like this
create table TEST(
first_name varchar(10),
last_name varchar(10),
street varchar(10),
number int
)
and a view like this:
create view vTEST
as
select
first_name + ' ' + last_name as [name],
street + ' ' + cast(number as varchar(max)) as [address]
from dbo.TEST
What I'd like is to get result like this:
column_name depends_on_column_name depends_on_table_name
----------- --------------------- --------------------
name first_name dbo.TEST
name last_name dbo.TEST
address street dbo.TEST
address number dbo.TEST
I've tried sys.dm_sql_referenced_entities function, but referencing_minor_id is always 0 there for views.
select
referencing_minor_id,
referenced_schema_name + '.' + referenced_entity_name as depends_on_table_name,
referenced_minor_name as depends_on_column_name
from sys.dm_sql_referenced_entities('dbo.vTEST', 'OBJECT')
referencing_minor_id depends_on_table_name depends_on_column_name
-------------------- --------------------- ----------------------
0 dbo.TEST NULL
0 dbo.TEST first_name
0 dbo.TEST last_name
0 dbo.TEST street
0 dbo.TEST number
The same is true for sys.sql_expression_dependencies and for obsolete sys.sql_dependencies.
So do I miss something or is it impossible to do?
There're some related questions (Find the real column name of an alias used in a view?), but as I said - I haven't found a working solution yet.
EDIT 1: I've tried to use DAC to query if this information is stored somewhere in System Base Tables but haven't find it
This solution could answer your question only partially. It won't work for columns that are expressions.
You could use sys.dm_exec_describe_first_result_set to get column information:
#include_browse_information
If set to 1, each query is analyzed as if it has a FOR BROWSE option on the query. Additional key columns and source table information are returned.
CREATE TABLE txu(id INT, first_name VARCHAR(10), last_name VARCHAR(10));
CREATE TABLE txd(id INT, id_fk INT, address VARCHAR(100));
CREATE VIEW v_txu
AS
SELECT t.id AS PK_id,
t.first_name AS name,
d.address,
t.first_name + t.last_name AS name_full
FROM txu t
JOIN txd d
ON t.id = d.id_fk
Main query:
SELECT name, source_database, source_schema,
source_table, source_column
FROM sys.dm_exec_describe_first_result_set(N'SELECT * FROM v_txu', null, 1) ;
Output:
+-----------+--------------------+---------------+--------------+---------------+
| name | source_database | source_schema | source_table | source_column |
+-----------+--------------------+---------------+--------------+---------------+
| PK_id | fiddle_0f9d47226c4 | dbo | txu | id |
| name | fiddle_0f9d47226c4 | dbo | txu | first_name |
| address | fiddle_0f9d47226c4 | dbo | txd | address |
| name_full | null | null | null | null |
+-----------+--------------------+---------------+--------------+---------------+
DBFiddleDemo
It is a solution based on query plan. It has some adventages
almost any select queries can be processed
no SchemaBinding
and disadventages
has not been tested properly
can become broken suddenly if Microsoft change XML query plan.
The core idea is that every column expression inside XML query plan is defined in "DefinedValue" node. First subnode of "DefinedValue" is a reference to output column and second one is a expression. The expression computes from input columns and constant values.
As mentioned above It's based only on empirical observation and needs to be tested properly.
It's a invocation example:
exec dbo.GetColumnDependencies 'select * from dbo.vTEST'
target_column_name | source_column_name | const_value
---------------------------------------------------
address | Expr1007 | NULL
name | Expr1006 | NULL
Expr1006 | NULL | ' '
Expr1006 | [testdb].[dbo].first_name | NULL
Expr1006 | [testdb].[dbo].last_name | NULL
Expr1007 | NULL | ' '
Expr1007 | [testdb].[dbo].number | NULL
Expr1007 | [testdb].[dbo].street | NULL
It's code.
First of all get XML query plan.
declare #select_query as varchar(4000) = 'select * from dbo.vTEST' -- IT'S YOUR QUERY HERE.
declare #select_into_query as varchar(4000) = 'select top (1) * into #foo from (' + #select_query + ') as src'
, #xml_plan as xml = null
, #xml_generation_tries as tinyint = 10
;
while (#xml_plan is null and #xml_generation_tries > 0) -- There is no guaranty that plan will be cached.
begin
execute (#select_into_query);
select #xml_plan = pln.query_plan
from sys.dm_exec_query_stats as qry
cross apply sys.dm_exec_sql_text(qry.sql_handle) as txt
cross apply sys.dm_exec_query_plan(qry.plan_handle) as pln
where txt.text = #select_into_query
;
end
if (#xml_plan is null
) begin
raiserror(N'Can''t extract XML query plan from cache.' ,15 ,0);
return;
end
;
Next is a main query. It's biggest part is recursive common table expression for column extraction.
with xmlnamespaces(default 'http://schemas.microsoft.com/sqlserver/2004/07/showplan'
,'http://schemas.microsoft.com/sqlserver/2004/07/showplan' as shp -- Used in .query() for predictive namespace using.
)
, cte_column_dependencies as
(
The seed of recursion is a query that extracts columns for #foo table that store 1 row of interested select query.
select
(select foo_col.info.query('./ColumnReference') for xml raw('shp:root') ,type) -- Becouse .value() can't extract attribute from root node.
as target_column_info
, (select foo_col.info.query('./ScalarOperator/Identifier/ColumnReference') for xml raw('shp:root') ,type)
as source_column_info
, cast(null as xml) as const_info
, 1 as iteration_no
from #xml_plan.nodes('//Update/SetPredicate/ScalarOperator/ScalarExpressionList/ScalarOperator/MultipleAssign/Assign')
as foo_col(info)
where foo_col.info.exist('./ColumnReference[#Table="[#foo]"]') = 1
The recursive part searches for "DefinedValue" node with depended column and extract all "ColumnReference" and "Const" subnodes that used in column expression. It's over complicated by XML to SQL conversions.
union all
select
(select internal_col.info.query('.') for xml raw('shp:root') ,type)
, source_info.column_info
, source_info.const_info
, prev_dependencies.iteration_no + 1
from #xml_plan.nodes('//DefinedValue/ColumnReference') as internal_col(info)
inner join cte_column_dependencies as prev_dependencies -- Filters by depended columns.
on prev_dependencies.source_column_info.value('(//ColumnReference/#Column)[1]' ,'nvarchar(4000)') = internal_col.info.value('(./#Column)[1]' ,'nvarchar(4000)')
and exists (select prev_dependencies.source_column_info.value('(.//#Schema)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Schema)[1]' ,'nvarchar(4000)'))
and exists (select prev_dependencies.source_column_info.value('(.//#Database)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Database)[1]' ,'nvarchar(4000)'))
and exists (select prev_dependencies.source_column_info.value('(.//#Server)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Server)[1]' ,'nvarchar(4000)'))
cross apply ( -- Becouse only column or only constant can be places in result row.
select (select source_col.info.query('.') for xml raw('shp:root') ,type) as column_info
, null as const_info
from internal_col.info.nodes('..//ColumnReference') as source_col(info)
union all
select null as column_info
, (select const.info.query('.') for xml raw('shp:root') ,type) as const_info
from internal_col.info.nodes('..//Const') as const(info)
) as source_info
where source_info.column_info is null
or (
-- Except same node selected by '..//ColumnReference' from its sources. Sorry, I'm not so well to check it with XQuery simple.
source_info.column_info.value('(//#Column)[1]' ,'nvarchar(4000)') <> internal_col.info.value('(./#Column)[1]' ,'nvarchar(4000)')
and (select source_info.column_info.value('(//#Schema)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Schema)[1]' ,'nvarchar(4000)')) is null
and (select source_info.column_info.value('(//#Database)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Database)[1]' ,'nvarchar(4000)')) is null
and (select source_info.column_info.value('(//#Server)[1]' ,'nvarchar(4000)') intersect select internal_col.info.value('(./#Server)[1]' ,'nvarchar(4000)')) is null
)
)
Finally, It's select statement that convert XML to appropriate human text.
select
-- col_dep.target_column_info
--, col_dep.source_column_info
--, col_dep.const_info
coalesce(col_dep.target_column_info.value('(.//shp:ColumnReference/#Server)[1]' ,'nvarchar(4000)') + '.' ,'')
+ coalesce(col_dep.target_column_info.value('(.//shp:ColumnReference/#Database)[1]' ,'nvarchar(4000)') + '.' ,'')
+ coalesce(col_dep.target_column_info.value('(.//shp:ColumnReference/#Schema)[1]' ,'nvarchar(4000)') + '.' ,'')
+ col_dep.target_column_info.value('(.//shp:ColumnReference/#Column)[1]' ,'nvarchar(4000)')
as target_column_name
, coalesce(col_dep.source_column_info.value('(.//shp:ColumnReference/#Server)[1]' ,'nvarchar(4000)') + '.' ,'')
+ coalesce(col_dep.source_column_info.value('(.//shp:ColumnReference/#Database)[1]' ,'nvarchar(4000)') + '.' ,'')
+ coalesce(col_dep.source_column_info.value('(.//shp:ColumnReference/#Schema)[1]' ,'nvarchar(4000)') + '.' ,'')
+ col_dep.source_column_info.value('(.//shp:ColumnReference/#Column)[1]' ,'nvarchar(4000)')
as source_column_name
, col_dep.const_info.value('(/shp:root/shp:Const/#ConstValue)[1]' ,'nvarchar(4000)')
as const_value
from cte_column_dependencies as col_dep
order by col_dep.iteration_no ,target_column_name ,source_column_name
option (maxrecursion 512) -- It's an assurance from infinite loop.
All what you need is mentioned into definition of view.
so we can extract this information via following the next steps:-
Assign the view definition into a string variable.
Split it with (,) comma.
Split the alias with (+) plus operator via using CROSS APPLY with XML.
use the system tables for getting the accurate information like original table.
Demo:-
Create PROC psp_GetLevelDependsView (#sViewName varchar(200))
AS
BEGIN
Declare #stringToSplit nvarchar(1000),
#name NVARCHAR(255),
#dependsTableName NVARCHAR(50),
#pos INT
Declare #returnList TABLE ([Name] [nvarchar] (500))
SELECT TOP 1 #dependsTableName= table_schema + '.'+ TABLE_NAME
FROM INFORMATION_SCHEMA.VIEW_COLUMN_USAGE
select #stringToSplit = definition
from sys.objects o
join sys.sql_modules m on m.object_id = o.object_id
where o.object_id = object_id( #sViewName)
and o.type = 'V'
WHILE CHARINDEX(',', #stringToSplit) > 0
BEGIN
SELECT #pos = CHARINDEX(',', #stringToSplit)
SELECT #name = SUBSTRING(#stringToSplit, 1, #pos-1)
INSERT INTO #returnList
SELECT #name
SELECT #stringToSplit = SUBSTRING(#stringToSplit, #pos+1, LEN(#stringToSplit)-#pos)
END
INSERT INTO #returnList
SELECT #stringToSplit
select COLUMN_NAME , b.Name as Expression
Into #Temp
FROM INFORMATION_SCHEMA.COLUMNS a , #returnList b
WHERE TABLE_NAME= #sViewName
And (b.Name) like '%' + ( COLUMN_NAME) + '%'
SELECT A.COLUMN_NAME as column_name,
Split.a.value('.', 'VARCHAR(100)') AS depends_on_column_name , #dependsTableName as depends_on_table_name
Into #temp2
FROM
(
SELECT COLUMN_NAME,
CAST ('<M>' + REPLACE(Expression, '+', '</M><M>') + '</M>' AS XML) AS Data
FROM #Temp
) AS A CROSS APPLY Data.nodes ('/M') AS Split(a);
SELECT b.column_name , a.COLUMN_NAME as depends_on_column_name , b.depends_on_table_name
FROM INFORMATION_SCHEMA.VIEW_COLUMN_USAGE a , #temp2 b
WHERE VIEW_NAME= #sViewName
and b.depends_on_column_name like '%' + a.COLUMN_NAME + '%'
drop table #Temp
drop table #Temp2
END
Test:-
exec psp_GetLevelDependsView 'vTest'
Result:-
column_name depends_on_column_name depends_on_table_name
----------- --------------------- --------------------
name first_name dbo.TEST
name last_name dbo.TEST
address street dbo.TEST
address number dbo.TEST
I was playing around with this but didn't have time to go any further. Maybe this will help:
-- Returns all table columns called in the view and the objects they pull from
SELECT
v.[name] AS ViewName
,d.[referencing_id] AS ViewObjectID
,c.[name] AS ColumnNames
,OBJECT_NAME(d.referenced_id) AS ReferencedTableName
,d.referenced_id AS TableObjectIDsReferenced
FROM
sys.views v
INNER JOIN sys.sql_expression_dependencies d ON d.referencing_id = v.[object_id]
INNER JOIN sys.objects o ON d.referencing_id = o.[object_id]
INNER JOIN sys.columns c ON d.referenced_id = c.[object_id]
WHERE v.[name] = 'vTEST'
-- Returns all output columns in the view
SELECT
OBJECT_NAME([object_id]) AS ViewName
,[object_id] AS ViewObjectID
,[name] AS OutputColumnName
FROM sys.columns
WHERE OBJECT_ID('vTEST') = [object_id]
-- Get the view definition
SELECT
VIEW_DEFINITION
FROM INFORMATION_SCHEMA.VIEWS
WHERE TABLE_NAME = 'vTEST'
Unfortunately, SQL Server does not explicitly store mapping between source table columns and view columns. I suspect the main reason is simply due to the potential complexity of views (expression columns, functions called on those columns, nested queries etc.).
The only way that I can think of to determine the mapping between view columns and source columns would be to either parse the query associated to the view or parse the execution plan of the view.
The approach I have outlined here focuses on the second option and relies on the fact that SQL Server will avoid generating output lists for columns not required by a query.
The first step is to get the list of dependent tables and their associated columns required for the view. This can be achieved via the standard system tables in SQL Server.
Next, we enumerate all of the view’s columns via a cursor.
For each view column, we create a temporary wrapper stored procedure that only selects the single column in question from view. Because only a single column is requested SQL Server will only retrieve the information needed to output that single view column.
The newly created procedure will run the query in format only mode and will therefore not cause any actual I/O operations on the database, but it will generate an estimated execution plan when executed. After the query plan is generate, we query the output lists from the execution plan. Since we know which view column was selected we can now associate the output list to view column in question. We can further refine the association by only associating columns that form part of our original dependency list, this will eliminate expression outputs from the result set.
Note that with this method if the view needs to join different tables together to generate the output then all columns required to generate the output will be returned even if it is not directly used in the column expression since it is still in directly required.
The following stored procedure demonstrates the above implementation method:
CREATE PROCEDURE ViewGetColumnDependencies
(
#viewName NVARCHAR(50)
)
AS
BEGIN
CREATE TABLE #_suppress_output
(
result NVARCHAR(500) NULL
);
DECLARE #viewTableColumnMapping TABLE
(
[ViewName] NVARCHAR(50),
[SourceObject] NVARCHAR(50),
[SourceObjectColumnName] NVARCHAR(50),
[ViewAliasColumn] NVARCHAR(50)
)
-- Get list of dependent tables and their associated columns required for the view.
INSERT INTO #viewTableColumnMapping
(
[ViewName]
,[SourceObject]
,[SourceObjectColumnName]
)
SELECT v.[name] AS [ViewName]
,'[' + OBJECT_NAME(d.referenced_major_id) + ']' AS [SourceObject]
,c.[name] AS [SourceObjectColumnName]
FROM sys.views v
LEFT OUTER JOIN sys.sql_dependencies d ON d.object_id = v.object_id
LEFT OUTER JOIN sys.columns c ON c.object_id = d.referenced_major_id AND c.column_id = d.referenced_minor_id
WHERE v.[name] = #viewName;
DECLARE #aliasColumn NVARCHAR(50);
-- Next, we enumerate all of the views columns via a cursor.
DECLARE ViewColumnNameCursor CURSOR FOR
SELECT aliases.name AS [AliasName]
FROM sys.views v
LEFT OUTER JOIN sys.columns AS aliases on v.object_id = aliases.object_id -- c.column_id=aliases.column_id AND aliases.object_id = object_id('vTEST')
WHERE v.name = #viewName;
OPEN ViewColumnNameCursor
FETCH NEXT FROM ViewColumnNameCursor
INTO #aliasColumn
DECLARE #tql_create_proc NVARCHAR(MAX);
DECLARE #queryPlan XML;
WHILE ##FETCH_STATUS = 0
BEGIN
/*
For each view column, we create a temporary wrapper stored procedure that
only selects the single column in question from view. The stored procedure
will run the query in format only mode and will therefore not cause any
actual I/O operations on the database, but it will generate an estimated
execution plan when executed.
*/
SET #tql_create_proc = 'CREATE PROCEDURE ___WrapView
AS
SET FMTONLY ON;
SELECT CONVERT(NVARCHAR(MAX), [' + #aliasColumn + ']) FROM [' + #viewName + '];
SET FMTONLY OFF;';
EXEC (#tql_create_proc);
-- Execute the procedure to generate a query plan. The insert into the temp table is only done to
-- suppress the empty result set from being displayed as part of the output.
INSERT INTO #_suppress_output
EXEC ___WrapView;
-- Get the query plan for the wrapper procedure that was just executed.
SELECT #queryPlan = [qp].[query_plan]
FROM [sys].[dm_exec_procedure_stats] AS [ps]
JOIN [sys].[dm_exec_query_stats] AS [qs] ON [ps].[plan_handle] = [qs].[plan_handle]
CROSS APPLY [sys].[dm_exec_query_plan]([qs].[plan_handle]) AS [qp]
WHERE [ps].[database_id] = DB_ID() AND OBJECT_NAME([ps].[object_id], [ps].[database_id]) = '___WrapView'
-- Drop the wrapper view
DROP PROCEDURE ___WrapView
/*
After the query plan is generate, we query the output lists from the execution plan.
Since we know which view column was selected we can now associate the output list to
view column in question. We can further refine the association by only associating
columns that form part of our original dependency list, this will eliminate expression
outputs from the result set.
*/
;WITH QueryPlanOutputList AS
(
SELECT T.X.value('local-name(.)', 'NVARCHAR(max)') as Structure,
T.X.value('./#Table[1]', 'NVARCHAR(50)') as [SourceTable],
T.X.value('./#Column[1]', 'NVARCHAR(50)') as [SourceColumnName],
T.X.query('*') as SubNodes
FROM #queryPlan.nodes('*') as T(X)
UNION ALL
SELECT QueryPlanOutputList.structure + N'/' + T.X.value('local-name(.)', 'nvarchar(max)'),
T.X.value('./#Table[1]', 'NVARCHAR(50)') as [SourceTable],
T.X.value('./#Column[1]', 'NVARCHAR(50)') as [SourceColumnName],
T.X.query('*')
FROM QueryPlanOutputList
CROSS APPLY QueryPlanOutputList.SubNodes.nodes('*') as T(X)
)
UPDATE #viewTableColumnMapping
SET ViewAliasColumn = #aliasColumn
FROM #viewTableColumnMapping CM
INNER JOIN
(
SELECT DISTINCT QueryPlanOutputList.Structure
,QueryPlanOutputList.[SourceTable]
,QueryPlanOutputList.[SourceColumnName]
FROM QueryPlanOutputList
WHERE QueryPlanOutputList.Structure like '%/OutputList/ColumnReference'
) SourceColumns ON CM.[SourceObject] = SourceColumns.[SourceTable] AND CM.SourceObjectColumnName = SourceColumns.SourceColumnName
FETCH NEXT FROM ViewColumnNameCursor
INTO #aliasColumn
END
CLOSE ViewColumnNameCursor;
DEALLOCATE ViewColumnNameCursor;
DROP TABLE #_suppress_output
SELECT *
FROM #viewTableColumnMapping
ORDER BY [ViewAliasColumn]
END
The stored procedure can now be executed as follow:
EXEC dbo.ViewGetColumnDependencies #viewName = 'vTEST'
I need to find all of the rows in any table where the create/update date are null
There are over 500 tables so doing something like the following is not feasible.
SELECT *
FROM
(SELECT
'tableA' AS `table`,
IF(COUNT(`column_a`), NULL, 'column_a') AS `column`
FROM tableA
UNION ALL
SELECT
'tableB' AS `table`,
IF(COUNT(`column_b`), NULL, 'column_b') AS `column`
FROM tableB
UNION ALL
-- etc.
) t
WHERE
`column` IS NOT NULL
I figured I could use INFORMATION_SCHEMA somehow but I am having difficulty with that.
I generally do this by using sys.tables to populate a list of the tables into a temp table, then compose dynamic SQL around that list.
select quotename( schemas.name ) + '.' + quotename(tables.name) as tbl
into #work
from sys.tables
join sys.schemas on tables.schema_id = schemas.schema_id
select
'select ''' + tbl + ''' as [table] where exists ( select * from ' + tbl + ' where column_a is null )' as sqlcmd,
'select ''' + tbl + ''' as [table], * from ' + tbl + ' where createdate is null ' as sqlcmd
from #work
drop table #work
Once you have the list you can execute it manually in SSMS or iterate through it using a cursor to execut each statement. The quotation marks can give you a headache, though. Dynamic SQL isn't for the faint of heart.