I have a requirement to consume a csv "dataset" consisting of 3 flat files - a control file, a headers file, and a line file - which together define a nested data structure.
The control file items have a field called ControlID, which can be used in the headers file to identify those header records which "belong" to that control item.
The header records have a field called HeaderID, which can be used in the lines file to identify those line records which "belong" to a given header record.
I'd like to consume all three files and then map them into some kind of nested schema structure. My question is how would I do this? Can I do it in a pipeline component?
I would look at two options. Both involve correlation all three files to an Orchestration using a Parallel Convoy.
Use a Multi-input Map to join the files. You should be able to use the HeaderID as filter using the Equal Function to match the lines to their header.
Use a SQL Stored Procedure to group the data as described here: BizTalk: Sorting and Grouping Flat File Data In SQL Instead of XSL
Related
I have a positional input flat file schema of the following kind.
<Employees>
<Employee>
<Data>
In mapping, I need to extract the strings on position basis to pass on to the target schema.
I have the following conditions -
If Data has 500 records, there should be 5 files of 100 records at the output location.
If Data has 522 records, there should be 6 files (5*100, 1*22 records) at the output location.
I have tried few suggestions from internet like
Setting “Allow Message Breakup At Infix Root” to “Yes” and setting maxoccurs to "100". This doesn't seem to be working. How to Debatch (Split) a Flat File using Flat File Schema ?
I'm also working on a custom receive pipeline component suggested at Split Flat Files into smaller files (on row count) using Custom Pipeline but I'm quite new to this so it's taking some time.
Please let me know if there is any simpler way of doing this, without implementing the custom pipeline component.
I'm following the approach to divide the input flat file into multiple small files as per condition and write at the receive location, then process the files with native flat file dissembler. Please correct me if there is a better approach.
You have two options:
Import the flat file to a SQL table using SSIS.
Parse the input file as one Message, then map to a Composite Operation to insert the records into a SQL table. You could use in Insert Updategram also.
After either 1 or 2, call a Stored Procedure to retrieve the Count and Order of messages you need.
A simple way for a flat file structure without writing custom C# code is to just use a Database table. Just insert the whole file as records into the table, and then have a Receive Location that polls for records in the batch size you want.
Another approach is called the Scatter Gather Pattern, in this case you do set the Occurs to 1 which will debatch into individual records, and you then have an Orchestration that re-assembles it into the batch size you want. You will have to read up about Correlations Sets to do this.
I am new to DF. i am loading bunch of csv files into a table and i would like to capture the name of the csv file as a new column in the destination table.
Can someone please help how i can achieve this ? thanks in advance
If you use a Mapping data flow, there is an option under source settings to hold the File name being used. And later in it can be mapped to column in Sink.
If your destination is azure table storage, you could put your filename into partition key column. Otherwise, I think there is no native way to do this with ADF. You may need custom activity or stored procedure.
A post said the could use data bricks to handle this.
Data Factory - append fields to JSON sink
Another post said they are using USQL to hanlde this.
use adf pipeline parameters as source to sink columns while mapping
For stored procedure, please reference this post. Azure Data Factory mapping 2 columns in one column
I'm extracting the data from a table that is spread across several web pages. I'm trying to fetch data per page and write into the same collection. For this I have given same collection in the output of these pages.
The problem is that the data instead of getting added is getting overwritten in the collection.
Well, that's how it works! When you read the data into the collection then the previous data is being overwritten. That's the same as other data items :)
The solution is simple - read the data into temporary collection first.
Afterwards, use action:
object: Utility - Collection Manipulaiton
action: Append rows to collection
That will join the rows from your temporary one to the main one.
I thinking of putting a logical layer on top of all raw files that comes in to data lake store.
I would like to have a view that combines all files that are the same "type" but are divided into date folders. I was thinking of doing this with a view and a dynamic folder path.
The problem that I have is that the files are avro and json file and for this I need assemblies. Is there a way that I can refrence the the asseblies in the views?
Or is it possible to do in an other way? suc as using table value functions etc?
The query expression inside the USQL View at the moment do not allow any User Defined Objects and you cannot REFERENCE any assemblies within a USQL View definition.
You may be better with parametrized view (i.e. Table value functions) - you don't have to necessarily have a parameter. TVF provides great flexibility, for example if you want get just a Month or year worth of data - you could use USQL filesets and pass in parameters.
I have a requirement in which I have to split the file contents based on value of the first column of the comma separated values in the source file.
Number of files to be generated in output depends on the number of unique values in the first column.
Eg:
FileName.txt
Code001,value11,value12,value13,value14
Code002,value21,value22,value23,value24
Code003,value31,value32,value33,value34
Code001,value15,value16,value17,value14
Code003,value37,value38,value39,value31
Output has to be number of files as the unique values in first column of the file content.
Ex Output: It should be 3 separate files with name and contents as below
Code001.txt
Code001,value11,value12,value13,value14
Code001,value15,value16,value17,value14
Code002.txt
Code002,value21,value22,value23,value24
Code003.txt
Code003,value31,value32,value33,value34
Code003,value37,value38,value39,value31
This can actually be achieved in several ways, but one thing I'm thinking about is the following:
Using a FF disassembler, just disassemble your FF schema to XML (as you would always have to do.
Create an envelope and a document schema, which would fit your output schema. Your document schema would be similar to the output file you want in the end. You would want to work towards a document schema which matches the collection of your unique codes (Code001, Code002 and Code003).
The idea would be to create an orchestration that will map your disassembled FF schema to the envelope schema. This cannot be done using a mapping in a receive/send port.
In the orchestration, execute a receive pipeline, with an XML disassembler configured with your envelope and document schema. This will split your message into several messages.
Bind your orchestration to a send port, which would map the instance to your output schema and send it through a FF assembler.