In T-SQL, I am trying to do something like :-
select * from [server_name].dbo.sys.objects
but I keep getting the error 'Invalid object name..'
I ultimately want to compare all the databases of the two servers
(something like the following..):--
Select * from [server1].dbo.Sys.Databases d1
cross join [server2].dbo.Sys.Databases d2
on d1.database_id = d2.database_id
You can use linked servers to select data from databases on two different servers within a single query.
You can set up linked servers through SQL Server Mangement Studio under Server Objects --> Linked Servers. Once you have linked [server1] to [server2] you should be able to execute your query.
Use this.
select from [server_name].[base_name].sys.objects
Related
I am using Tableau to create custom queries, I need to pass the results from one custom query into another. So for example one custom query might have the following query:
select *
from bime.test_tab
where record_date = '2018-05-21'.
I then create another custom query which uses the results from the query above. Is this possible?
Sure you can by making this custom query as a subquery
select * from (select *
from bime.test_tab
where record_date = '2018-05-21') a
As you might already know that we do not have a leverage to use temp tables in Tableau custom queries, hence we usually create subqueries for that.
Considering your case,
SELECT BIM_TABLE.* FROM
(SELECT * FROM
BIME.TEST_TAB WHERE RECORD_DATE= '2018-05-21')BIM_TABLE
You can post your actual problem with the relevant columns if you need further help.
PS - It's advised to do most of your data manipulations in SQL itself (if you are running your workbook on live connection), as Tableau is not able to properly optimize part of the 'Custom SQL' query.
Using crystal reports version 14, MS sql server 2008
I am joining two tables and I need to filter in the join, so if a certain value exists in one of the table, I want to join to that record, if it does not exist, I want to have a null-record. I.e:
select * from sample left outer join test
on(sample.sample_number=test.sample_number and test.name='PREP')
I can run that in Sql server studio and get exactly what I want
What I can get in crystal reports is
select * from sample left outer join test
on(sample.sample_number=test.sample_number)
where test.name='PREP'
In the latter case, rows where test.name='PREP' does not exist will be removed and if there are samples that have no test.name='PREP', those samples will be removed.
Are there any ways I can do this in CR 14?
dummy tables:
Sample
sample_number,name
1,A
2,B
3,C
Test
sample_number,name
1,PREP
1,SOMETHING
2,SOMETHING
3,SOMETHING_ELSE
3,PREP
What I want:
1,A,1,PREP
2,B,NULL,NULL
3,C,3,PREP
(of course there are more fields in the tables and a selection of which fields, but this should illustrate what I want)
I know I can make views and query them directly in crystal, but if possible, I would avoid doing that.
Bah, found it:
Database expert - add table, select data source, add command. Then a custom sql can be added.
I am currently experimenting with Tableau Extract API to generate some TDE from the tables I have in a PostgreSQL database. I was able to write a code to generate the TDE from single table, but I would like to do this for multiple joined tables. To be more specific, if I have two tables that are inner joined by some field, how would I generate the TDE for this?
I can see that if I am working with small number of tables, I could use a SQL query with JOIN clauses to create a one gigantic table, and generate the TDE from that table.
>> SELECT * FROM table_1 INNER JOIN table_2
INTO new_table_1
ON table_1.id_1 = table_2.id_2;
>> SELECT * FROM new_table_1 INNER JOIN TABLE_3
INTO new_table_2
ON new_table_1.id_1 = table_3.id_3
and then generate the TDE from new_table_2.
However, I have some tables that have over 40 different fields, so this could get messy.
Is this even a possibility with current version of the API?
You can read from as many tables or other sources as you want. Or use complex query with lots of joins, or create a view and read from that. Usually, creating a view is helpful when you have a complex query joining many tables.
The data extract API is totally agnostic about how or where you get the data to feed it -- the whole point is to allow you to grab data from unusual sources that don't have pre-built drivers for Tableau.
Since Tableau has a Postgres driver and can read from it directly, you don't need to write a program with the data extract API at all. You can define your extract with Tableau Desktop. If you need to schedule automated refreshes of the extract, you can use Tableau Server or its tabcmd command.
Many thanks for your replies. I am aware that I could use Tableau Desktop to define my extract. In fact, I have done this many times before. I am just trying to create the extracts using the API, because I need to create some calculated fields, which is near impossible to create using the Tableau Desktop.
At this point, I am hesitant to use JOINs in the SQL query because the resulting table would look too complicated to comprehend (some of these tables also have same field names).
When you say that I could read from multiple tables or sources, does that mean with the Tableau Extract API? At this point, I cannot find anywhere in this API that accommodates multiple sources. For example, I know that when I use multiple tables in the Tableau Desktop, there are icons on the left hand side that tells me that the extract is composed of multiple tables. This just doesn't seem to be happening with the API, which leaves me stranded. Anyways, thank you again for your replies.
Going back to the topic, this is something that I tried few days ago on my python code
try:
tdefile= tde.Extract("extract.tde")
except:
os.remove("extract.tde")
tdefile = tde.Extract("extract.tde")
tableDef = tde.TableDefinition()
# Read each column in table and set the column data types using tableDef.addColumn
# Some code goes here...
for eachTable in tableNames:
tableAdd = tdeFile.addTable(eachTable, tableDef)
# Use SQL query to retrieve bunch_of_rows from eachTable
for some_row in bunch_of_rows:
# Read each row in table, and set the values in each column position of each row
# Some code goes here...
tableAdd.insert(some_row)
some_row.close()
tdefile.close()
When I execute this code, I get the error that eachTable has to be called "Extract".
Of course, this code has its flaws, as there is no where in this code that tells how each table are being joined.
So I am little thrown off here, because it doesn't seem like I can use multiple tables unless I use JOINs to generate one table that contains everything.
I'm working on SQL Compact 3.5 (Microsoft). Is something like this possible? ::- ).
Select From DatabaseOne.SomeTable, Join DatabaseTWO.SomeOtherTable
I need to join data from 2 different databases which I have loaded in SQL Server Management Studio (from 2 different files). So I'm connected to both of them and I can switch between using one or another via the USE keyword, but I don't know how to use both databases in the same time in a JOIN.
That is not possible, you must move all data to a single SQL Compact file.
I butter-fingered a query in SQL Server 2000 and added a period in the middle of the table name:
SELECT t.est.* FROM test
Instead of:
SELECT test.* FROM test
And the query still executed perfectly. Even SELECT t.e.st.* FROM test executes without issue.
I've tried the same query in SQL Server 2008 where the query fails (error: the column prefix does not match with a table name or alias used in the query). For reasons of pure curiosity I have been trying to figure out how SQL Server 2000 handles the table names in a way that would allow the butter-fingered query to run, but I haven't had much luck so far.
Any sql gurus know why SQL Server 2000 ran the query without issue?
Update: The query appears to work regardless of the interface used (e.g. Enterprise Manager, SSMS, OSQL) and as Jhonny pointed out below it bizarrely even works when you try:
SELECT TOP 1000 dbota.ble.* FROM dbo.table
Maybe table names are constructed from a naive concatenation of prefix and base name.
't' + 'est' == 'test'
And maybe in the later versions of SQL Server, the distinction was made more semantic/more rigorously.
{ owner = t, table = est } != { table = test }
SQL Server 2005 and up has a "proper" implementation of schemas. SQL 2000 and earlier did not. The details escape me (its been years since I used SQL 2000), all I recall clearly is that you'd be nuts to create anything that wasn't owned by "dbo". It all ties into users and object ownership, but the 2000 and earlier model was pretty confusticated. Hopefully someone will read up on BOL, do some experimentation, and post their results here.
S-SQL reference manual:
"[dot] Can be used to combine multiple names into a name of the form A.B to refer to a column in a table, or a table in a schema. Note that you calso just use a symbol with a dot in it."
So I think if you referenced tblTest as tblT.est it would work OK as long as there isn't a column called 'est' in tblTest.
If it can't find a column name referenced with the dot I imagine it checks the parent of the object.
I found a reference to it being a bug
Note: as a result of a comparison
algorithm bug in SQL Server 2000, dot
symbols themselves have no effect on
matching, so "dbo.t" will successfully
match with tables "dbot", "d.b.o.t",
etc
from Link
It's been fixed in SQL Server 2005. Same link > Changes introduced in SQL Server 2005
Dot-related comparison bug has been fixed.
Is it in the "Open table" view of SSMS or via Enterprise Manager or via an SSMS Query Window?
There is/was a SQL Server 2005 issue with SSMS so how you run the query affects how it behaves.
This is a bug.
It has to do with internal representation of column names in SQL server 2000 that leaked out.
You will also not be able to create tablecolumn with a name which collides with table+column concatenation with another column, like, if you have tables User and UserDetail, you won't be able to have columns DetailAge and Age in these tables, respectively.