I am writing an ETL to extract data from HANA table and load into SQL Server in BODS.
My job is to create a new table on SQL Server every time I run my job with name as date of that day. I know we can do that for flat files by using global variable but not sure how we can declare similar variable in template table to get desired results?
Why you want to use template tables. You can do the same as below:
Load the data in a standard staging table using BODS
Using DS scripting mechanism generate a query to create a table
Execute the query using SQL transform
Generate another query to copy data from staging table to the table created above
Several other ways also like you can write a DB procedure to create a table with the desired name and copy over the data from stage to that table. This procedure you can call from DS.
Hope this helps.
Cheers.
Shaz
Related
I'm trying to automatically update tables in Azure SQL Database from another SQLDB with Azure Data Factory. At the moment, the only way to update the table Azure SQL Database is to physically select the table you want to update in Azure SQL Database, as shown here:
My configuration to automatically select a table the SQLDB that I want to copy to Azure SQL Database is as follows:
The parameters are as follows:
#concat('SELECT * FROM ',pipeline().parameters.Domain,'.',pipeline().parameters.TableName)
Can someone let me know how to configure my SINK and/or connection to automatically insert the table selected from SOURCE.
My SINK looks like the following:
And my connection looks like the following:
Can someone let me know how to configure my SINK and/or connection to
automatically insert the table selected from SOURCE.
You can use Edit option in the SQL dataset.
Create a dataset parameter for the sink table name. In the SQL sink dataset check the Edit checkbox in it and use the dataset parameter. If you want, you can use dataset parameter for the database name also. Here I have given directly (dbo).
Now in the copy activity sink, you can give the table name dynamically from any pipeline parameter (give your parameter in this case) or any variable using the dynamic content.
Also, enable the Auto create table which will create new table if the table with the given name not exists and if it exists it ignores creation and copies data to it.
My sample result:
I am trying to create a dataflow in SSIS where the source data originates from an excel file and reaches to a temporary staging table in a SQL server where I can add various stored procedures to the data.
The dataflow that I have created stores the data permanently on what is supposed to be the staging area.
I would like to get some ideas on creating the staging table in SQL with the SSIS dataflow.
your question is a bit confusing. I suppose that you are maybe trying to make the data loaded in the table of the staging area temporary without keeping the past loaded data.
If I'm right what you're trying to accomplish is a "full resfresh" data flow.
From your description I assume you alerady have the staging table (so no nedd to CREATE it) but you need to truncate it at every run. You can achive this by using a Execut SQL Task element to the control flow with a TRUNCATE TABLE <YOUR TABLE NAME> in it. The data flow loading the data must be in dependency of this task with the result of truncating your table at every run.
If you need to CREATE a table you can do it in the control flow with the Execute SQL Task (you can execute any kind of query with this task), rember to set correctly the connection manager of the task.
Our challenge is the following one :
in an Azure SQL database, we have multiple tables with the following table names : table_num where num is just an integer. These tables are created dynamically so the number of tables can vary. (from table_1, table_2 to table_N) All tables have the same columns.
As part of a U-SQL script file, we would like to execute the same query on all of these tables and generate an output csv file with the combined results of all these queries.
We tried several things :
U-SQL does not allow looping so we were thinking creating a View in our Azure SQL database that would combine all the tables using a cursor of some sort. Then, the U-SQL file would query this View (using external source). However, a View in Azure SQL database can only be created via a function and a function cannot execute dynamic SQL or even call a stored procedure...
We did not find a way to call a stored procedure of the external data source directly from U-SQL
we dont want to update our U-SQL job each time a new table is added...
Is there a way to do that in U-SQL through a custom extractor for instance? Any other ideas?
One solution I can think of is to use Azure Data Factory (v2) to assist in this.
You could create a pipeline with the following activities:
Lookup activity configured to execute the stored procedure
For Each activity that uses the output of the lookup activity as a source
As a child item use a U-Sql Activity that executes your U-Sql script which writes the output of a single table (the item of the For Each activity) to blob or datalake
Add a Copy Activity that merges the blobs from step 2.1 to one final blob.
If you have little or no experience working with ADF v2 do mind that it takes some time to get to know it but once you do, you won't regret it. Having a GUI to create the pipeline is a nice bonus.
Edit: as #wBob mentions another (far easier) solution is to somehow create a single table with all rows since all dynamically generated table have the same schema. You can create a stored procedure for populating this table for example.
HI I have a table in SQL. I want to create that table into another machine and get the DATA inside that table as well.
I don't wanna use the backup method because I have existing Stored Procedures in the other machine. I just want to get one table with all the records in it. ANy idea on how to do it?
Can you create a linked server on the target database and query the source database from the target?
Using a SQL tool like SQL Developer / Toad for Oracle
Is it possible to write a SQL query that will do the following
SELECT * FROM TABLE
WHERE COLUMN1 IN CSV_FILE
The CSV file is just one column of data with no delimiters.
How can I achieve this?
Constraints
I cannot create a temp table to insert CSV file (no create permissions)
The data I am using of this column is the only index in that table so I cannot use other columns to query or else it will be really slow.
Thanks
Creating external table is the best way. If you dont have permission then the other way is to move the file to the path of any oracle directory(Oracle object - Directory). And with help of utl_file read the file, loop through it and do your operation inside a PL/SQL block which is too tedious.
See the eaxmples for using utl_file - http://psoug.org/reference/utl_file.html
But its better if you try and get create access.
Toad for Oracle data import (uses sqlldr internally)
Create a temp table and load the data using this utility and select the values
External tables
Create external table, load the data through the same and select the values.
Using SQL developer you can create a table in your schema and load this table with data from a csv file.
Notes:
You will need to create a void column per each column to import from excel
Excel export csv with ";" delimiter
If SQL developer(4.1.5) doesn't preview the fields in separated columns try moving forward/backwards with Next/back buttons
and a very graphical guide in the following page:
http://www.thatjeffsmith.com/archive/2012/04/how-to-import-from-excel-to-oracle-with-sql-developer/