I am importing data from csv file(csv1) having columns userid, date and focus. there are multiple records of same userid having diferrent focus value and different dates. i need to pick focus of the user id having latest date and join it with another file (csv2) having userid( more than one same userid)fisrtname lastname and focus.
The result should be that in csv 2 all same userid must have focus set to that of latest focus in csv1 file.
Can someone help how to achieve this result.
Thanks in advance.
You can do that, but it takes 2 steps:
Step 1: Import csv2 (look-up table) into temporary table.
Step 2: Using SSIS, from "Data Flow Transformations" toolbox select "Lookup" item. Write a query to select data from temporary table. Define matching columns.
Also, there is "Merge Join" type of transformation, but it seems to me that you need "Lookup".
If you are not familiar with SSIS transformations, google for "ssis lookup transformation".
For CSV 1 & 2, use Aggregate transformation to get max date. Output of the transformation is unique records with latest table
Merge join CSV 1 & 2 , fetch desired columns from two input.
Related
I have two tables, one is LookUpTable where I have an id for AttendanceType = Remote. And I have another table where there is a column called AttendanceType.
I want to fetch the id from LookupTable and copy in all rows of another table into the column AttendanceType in SSIS package?
You can use merge join in ssis to join both the sources based on attendence type field and fetch required fields from both the tables.
You can use a MERGE JOIN query depending on your RDBMS.
You can also use the MERGE JOIN component and the SSIS OLE DB Destination. The data coming out of the sources must be sorted. To tell SSIS that the data is sorted, right-click on your source component. Click on show advanced editor then on input and output properties. Then pass the IsSorted box to True.
Then, you must indicate to SSIS which column acts as SortKey, ie on which column to sort the data.
I have two sources- file and DB.
"Product_code" is the key but it can be duplicate since the files can have products modified later than in DB. Both have ModDate field.
I have to load unique and most recent records.
in the DB there are 30 unique IDs and 10 in the file with more recent date, that must replace the rows in the DB with the older date.
What is the most used tool in that type of scenarios?
Any ideas on what will look like the structure in Data Flow be highly appreciated.
Cant use scripts and T-SQL.
I was using this structure
old ssis structure
After the suggested use aggregate sort by ID and MAX date
the structure now is like this
new ssis structure
but still not getting the result( all columns with the most recent date at the destination DB. Now only one column(ID) at the end.
Thanks
Based on the constraints you mention, you can approach it this way:
Union both data sources together (you will likely have data type issues)
Multicast to path A and path B
Path A:
Use an aggregate transform to group by Product ID and MAX modifieddate
The output of this will be two columns: a list of unique products, and their latest modified date
Path B:
Join back to Path A on Product and modified date. The output of this should be the dataset filtered on what you want.
I am having two 3 csv files 1 teacher and 2 students I have to insert teachers data into one table and students data who got more than 50 marks into one table from 2 csv files, please explain how to use conditional split transformation for those 2 students file to put the data into one table
Are you sure you to use the Coniditional Split? You need to combine the student flatfiles into one table, right? If so, what you want to use is a Merge Join transformation.
You can read more about how to use the Merge Join, here.
Not sure if I have understood the question correctly. My assumptions:
Teacher is moved from CSV to a table 1 no conditions.
Student files (CSV) contain only unique records.
Records where student achieved score greater or equal to 50 are inserted into a table 2.
If the above assumptions are correct. The simplest way will be to use a loop container to loop through the students file, and have one workflow which does as follows:
Reads student file
Passes the file to the conditional split
Writes to the destination table
Conditional split task allows one to configure the conditions and outputs on those conditions.
If the file contains the column called StudentScore, then in the conditional split the first condition should be set as in the attached screen, please note that because the StudentScore is set to a string in the source file it has to be converted to the integer hence (DT_I4), if it is set to be an integer in the source file this conversion is redundant.
I also have given an output a name StudentScore, this output then will be linked to the destination file. I hope this helps.
I have data from two different source locations that need to be combined into one. I am assuming I would want to do this with a merge or a merge join, but I am unsure of what exactly I need to do.
Table 1 has the same fields as Table 2 but the data is different which is why I would like to combine them into one destination table. I am trying to do this with SSIS, but I have never had to merge data before.
The other issue that i have is that some of the data is duplicated between the two. How would I only keep 1 of the duplicated records?
Instead of making an entirely new table which will need to be updated again every time Table 1 or 2 changes, you could use a combination of views and UNIONs. In other words create a view that is the result of a UNION query between your two tables. To get rid of duplicates you could group by whatever column uniquely identifies each record.
Here is a UNION query using Group By to remove duplicates:
SELECT
MAX (ID) AS ID,
NAME,
MAX (going)
FROM
(
SELECT
ID :: VARCHAR,
NAME,
going
FROM
facebook_events
UNION
SELECT
ID :: VARCHAR,
NAME,
going
FROM
events
) AS merged_events
GROUP BY
NAME
(Postgres not SSIS, but same concept)
Instead of Merge and Sort , Use union all Sort. because Merge transform need two sorted input and performance will be decreased
1)Give Source1 & Source2 as input to UnionALL Transformation
2) Give Output of UnionALL transfromation to Sort transformation and check remove duplicate keys.
This sounds like a pretty classic merge. Create your source and destination connections. Put in a Data Flow task. Put both sources into the Data Flow. Make sure the sources are both sorted and connect them to a Merge. You can either add in a Sort transformation between the connection and the Merge or sort them using a query when you pull them in. It's easier to do it with a query if that's possible in your situation. Put a Sort transformation after the Merge and check the "Remove rows with duplicate sort values" box. That will take care of any duplicates you have. Connect the Sort transformation to the data destination.
You can do this without SSIS, too.
I have a series of tables in an Access 2007 database. I am trying to find a way of outputting a flat-file to an excel spreadsheet that combines all of the tables so that each row of the flatfile represents a unique combination of the table rows from each table.
For example, these tables:
Would combine to make this output table:
The challenges I'm facing are:
The 'input' tables can vary in number of rows and columns, as well as quantity
The total number of rows in the final output table can get quite large (200,000+ rows)
I know Excel and VBA (in Excel) well but almost nothing about Access
Is there a way to do this in Access? Is there some native functionality in Access that I'm completely overlooking? Any pointers (even if it's "you need to read into X and Y") would be greatly appreciated!
Thanks,
Adam
As noted above:
Create a new query. Select your 3 tables as the data sources. If desired, set up joins between tables by dragging a line between a field in one table to a field in another. Without joins you will get a Cartesian Product ... every from 1st table paired with every row of 2nd table, and then each of those combination paired with every row of 3rd table. Select the fields you want included in the result set. When the query returns what you need, save it and give it a name. Then you can export that named query to Excel.
If the table is large, you could hit Excel's row / column limit though.