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.
Related
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
So I've got a SQL query that is called from an API that I'm trying to write an integration test for. I have the method that prepares the data totally working, but I realized that I don't know how to actually execute the query to check that data (and run the test). Here is what the query looks like (slightly redacted to protect confidental data):
SELECT HeaderQuery.[headerid],
kaq.[applicationname],
HeaderQuery.[usersession],
HeaderQuery.[username],
HeaderQuery.[referringurl],
HeaderQuery.[route],
HeaderQuery.[method],
HeaderQuery.[logdate],
HeaderQuery.[logtype],
HeaderQuery.[statuscode],
HeaderQuery.[statusdescription],
DetailQuery.[detailid],
DetailQuery.[name],
DetailQuery.[value]
FROM [DATABASE1].[dbo].[apilogheader] HeaderQuery
LEFT JOIN [DATABASE1].[dbo].[apilogdetails] DetailQuery
ON HeaderQuery.[headerid] = DetailQuery.[headerid]
INNER JOIN [DATABASE2].[dbo].[apps] kaq
ON HeaderQuery.[applicationid] = kaq.[applicationid]
WHERE HeaderQuery.[applicationid] = #applicationid1
AND HeaderQuery.[logdate] >= #logdate2
AND HeaderQuery.[logdate] <= #logdate3
For the sake of the test, and considering I already have the SQL script, I was hoping to be able to just execute that script above (providing the where clause programmatically) using context.Database.SqlQuery<string>(QUERY) but since I have two different contexts, I'm not sure how to do that.
The short answer is no, EF doesn’t support cross database queries. However there are a few things you can try.
You can use two different database contexts (one for each database).
Run your respective queries and then merge / massage the data after
the query returns.
Create a database view and query the view through EF.
Using a SYNONYM
https://rachel53461.wordpress.com/2011/05/22/tricking-ef-to-span-multiple-databases/
If the databases are on the same server, you can try using a
DbCommandInterceptor
I’ve had this requirement before and personally like the view option.
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.
The question pretty much sums it up. I've got to replace text in a large number for store procedures. Its not so many that doing it manually is impossible, but enough that I'm asking the question. I also prefer automation as it reduces the change of user error when we make the change in production.
I can Identify them like this:
select OBJECT_DEFINITION(object_id), *
from sys.procedures
where OBJECT_DEFINITION(object_id) like '%''MyExampleLiteral''%'
order by name
Is there any way to mass update them all to change 'MyExampleLiteral' to 'MyOtherExampleLiteral'?
I'd even settle for a way to open all the stored procs. Just Finding these store procs in a larger list will take some time.
I thought about generating alter statements using the above select statements, but then I lose line breaks.
Thanks in advance,
This is a Microsoft SQL Server.
There are different tools to use depending on the database in question. For example, Microsoft SQL Server Data Tools integrates with Visual Studio, and allows you to do these types of operations fairly easily. The database is stored in your solution as scripts, which you can then search and replace any keyword you wish. I'm assuming there would be similar tools available for other platforms.
You could do this with dynamic sql. Query the system tables to get all the SPs containing your "MyExampleLiteral":
SELECT [object_id] FROM sys.objects o
WHERE type_desc = 'SQL_STORED_PROCEDURE'
AND is_ms_shipped = 0
AND OBJECT_DEFINITION(o.[object_id]) LIKE '%<search string>%'
Then, write a while loop to go through those object_ids. In the while loop, get the OBJECT_DEFINITION() into a string and replace the "MyExampleLiteral", then replace CREATE PROCEDURE with ALTER PROCEDURE and execute the string using sp_executesql.
Doing something this crazy, make sure you backup the database first.
I'm using Zend Framework for my website and I'd like to retrieve some data from my PostgreSQL database.
I have a request like :
SELECT DISTINCT ON(e.id) e.*, f.*, g.* FROM e, f, g
WHERE e.id = f.id_e AND f.id = g.id_f
This request works well but I don't know how to convert the DISTINCT ON(e.id) with Zend.
It seems that I can get DISTINCT rows but no distinct columns.
$select->distinct()->from("e")->join("f", "e.id = f.id_e")
->join("g", "f.id = g.id_f");
Any idea on how to make a select with distinct column ?
Thanks for help
You probably can't do this with Zend Framework since distinct on is not part of the SQL standard (end of page in Postgres documentation). Although Postgres supports it, I would assume its not part of Zend Framework because you could in theory configure another database connection which does not offer support.
If you know in advance that you're developing for a specific database (Postgres in this case), you could use manually written statements instead. You'll gain more flexibility within the queries and better performance at the cost of no longer being able to switch databases.
You would then instantiate a Zend_Db_Apdapter for Postgres. There a various methods available to get results for SQL queries which are described in the frameworks documentation starting at section Reading Query Results. If you choose to go this route I'd recommend to create an own subclass of the Zend_Db_Adapter_Pgsql class. This is to be able to convert data types and throw exceptions in case of errors instead of returning ambiguous null values and hiding error causes.