ODXL is a framework that provides generic data export capabilities for the SAP/HANA platform. ODXL is implemented as a xsjs Web service that understands OData web requests, and delivers a response by means of a pluggable data output handler. Developers can use ODXL as a back-end component, or even as a global instance-wide service to provide clean, performant and extensible data export capabilities for their SAP/HANA applications.
I’m very pleased to be able to announce the immediate availability of the Open Data Export Layer (ODXL) for SAP/HANA!
Currently, ODXL provides output handlers for comma-separated values (csv) as well as Microsoft Excel output. However, ODXL is designed so that developers can write their own response handlers and extend ODXL to export data to other output formats according to their requirements.
ODXL is provided to the SAP/HANA developer community as open source software under the terms of the Apache 2.0 License. This means you are free to use, modify and distribute ODXL. For the exact terms and conditions, please refer to the license text.
The source code is available on github. Developers are encouraged to check out the source code and to contribute to the project. You can contribute in many ways: we value any feedback, suggestions for new features, filing bug reports, or code enhancements.
What exactly is ODXL?
ODXL was borne from the observation that the SAP/HANA web applications that we develop for our customers often require some form of data export, typically to Microsoft Excel. Rather than creating this type of functionality again for each project, we decided to invest some time and effort to design and develop this solution in such a way that it can easily be deployed as a reusable component. And preferably, in a way that feels natural to SAP/HANA xs platform application developers.
What we came up with, is a xsjs web service that understands requests that look and feel like standard OData
GETrequests, but which returns the data in some custom output format. ODXL was designed to make it easily extensible so that developers can build their own modules that create and deliver the data in whatever output format suits their requirements.
This is illustrated in the high-level overview below:
For many people, there is an immediate requirement to get Microsoft Excel output. So, we went ahead and implemented output handlers for .xlsx and .csv formats, and we included those in the project. This means that ODXL supports data export to the .xlsx and .csv formats right out of the box.
However, support for any particular output format is entirely optional and can be controlled by configuration and/or extension:
- Developers can develop their own output handlers to supply data export to whatever output format they like.
- SAP/HANA Admins and/or application developers can choose to install only those output handlers they require, and configure how Content-Type headers and OData $format values map to output handlers.
So ODXL is OData? Doesn’t SAP/HANA suppport OData already?
The SAP/HANA platform provides data access via the OData standard. This facility is very convenient for object-level read- and write access to database data for typical modern web applications. In this scenario, the web application would typically use asynchronous XML Http requests, and data would be exchanged in either Atom (a XML dialect) or JSON format.
ODXL’s primary goal is to provide web applications with a way to export datasets in the form of documents. Data export tasks typically deal with data sets that are quite a bit larger than the ones accessed from within a web application. In addition, an data export document might very well compromise multiple parts – in other words, it may contain multiple datasets. The typical example is exporting multiple lists of different items from a web application to a workbook containaing multiple spreadsheets with data. In fact, the concrete use case from whence ODXL originated was the requirement to export multiple datasets to Microsoft Excel .xlsx workbooks.
So, ODXL is not OData. Rather, ODXL is complementary to SAP/HANA OData services. That said, the design of ODXL does borrow elements from standard OData.
OData Features, Extensions and omissions
GET requests follow the syntax and features of OData standard
GET requests. Here’s a simple example to illustrate the ODXL
GET “RBOUMAN”/”PRODUCTS”?$select=PRODUCTCODE, PRODUCTNAME& $filter=PRODUCTVENDOR eq ‘Classic Metal Creations’ and QUANTITYINSTOCK gt 1&$orderby=BUYPRICE desc&$skip=0&$top=5
This request is build up like so:
"RBOUMAN"/"PRODUCTS": get data from the
"PRODUCTS"table in the database schema called
$select=PRODUCTCODE, PRODUCTNAME: Only get values for the columns
$filter=PRODUCTVENDOR eq 'Classic Metal Creations' and QUANTITYINSTOCK ge 1: Only get in-stock products from the vendor
'Classic Metal Creations'.
$orderby=BUYPRICE desc: Order the data from highest price to lowest.
$skip=0&$top=5: Only get the first five results.
For more detailed information about invoking the odxl service, check out the section about the sample application. The sample application offers a very easy way to use ODXL for any table, view, or calculation view you can access and allows you to familiarize yourself in detail with the URL format.
In addition, ODXL supports the OData
POST request to support export of multiple datasets into a single response document.
The reasons to follow OData in these respects are quite simple:
- OData is simple and powerful. It is easy to use, and it gets the job done. There is no need to reinvent the wheel here.
- ODXL’s target audience, that is to say, SAP/HANA application developers, are already familiar with OData. They can integrate and use ODXL into their applications with minimal effort, and maybe even reuse the code they use to build their OData queries to target ODXL.
ODXL does not follow the OData standard with respect to the format of the response. This is a feature: OData only specifies Atom (an XML dialect) and JSON output, whereas ODXL can supply any output format. ODXL can support any output format because it allows developers to plug-in their own modules called output handlers that create and deliver the output.
Currently ODXL provides two output handlers: one for comma-separated values (.csv), and one for Microsoft Excel (.xlsx). If that is all you need, you’re set. And if you need some special output format, you can use the code of these output handlers to see how it is done and then write your own output handler.
ODXL does respect the OData standard with regard to how the client can specify what type of response they would like to receive. Clients can specify the MIME-type of the desired output format in a standard HTTP
Accept: text/csvspecifies that the response should be returned in comma separated values format.
Accept: application/vnd.openxmlformats-officedocument.spreadsheetml.sheetspecifies that the response should be returned in open office xml workbook format (Excel .xlsx format).
Alternatively, they can specify a
$format=<format> query option, where
<format>identifies the output format:
$format=csvfor csv format
$format=xlsxfor .xlsx format
Note that a format specified by the
$format query option will override any format specified in an
Accept:-header, as per OData specification.
ODXL admins can configure which MIME-types will be supported by a particular ODXL service instance, and how these map to pluggable output handlers. In addition, they can configure how values for passed for the $format query option map to MIME-types. ODXL comes with a standard configuration with mappings for the predefined output handlers for .csv and .xlsx output.
On the request side of things, most of OData’s features are implemented by ODXL:
$selectquery option to specify which fields are to be returned
$filterquery option allows complex conditions restricting the returned data. OData standard functions are implemented too.
$topquery options to export only a portion of the data
$orderbyquery option to specify how the data should be sorted
ODXL currently does not offer support for the following OData features:
The features that are currently not supported may be implemented in the future. For now, we feel the effort the implement them and adequately map their semantics to ODXL may not be worth the trouble. However, an implementation can surely be provided should there be sufficient interest from the community.
Use ODXL presumes you already have a SAP/HANA installation with a properly working xs engine. You also need HANA Studio, or Eclipse with the SAP HANA Tools plugin installed.
Here are the steps if you just want to use ODXL, and have no need to actively develop the project:
- In HANA Studio/Eclipse, create a new HANA xs project. Alternatively, find an existing HANA xs project.
- Find the ODXL repository on github, and download the project as a zipped folder. (Select a particular branch if you desire so; typically you’ll want to get the master branch)
- Extract the project from the zip. This will yield a folder. Copy its contents, and place them into your xs project directory (or one of its sub directories)
- Activate the new content.
After taking these steps, you should now have a working ODXL service, as well as a sample application. The service itself is in the service subdirectory, and you’ll find the sample application inside the app subdirectory.
The service and the application are both self-contained xs applications, and should be completely independent in terms of resources. The service does not require the application to be present, but obviously, the application does rely on being able to call upon the service.
If you only need the service, for example, because you want to call it directly from your own sample application, then you don’t need the sample application. You can safely copy only the contents of the service directory and put those right inside your project directory (or one of its subdirectories) in that case. But even then, you might still want to hang on to the sample application, because you can use that to generate the web service calls that you might want to do from within your application.
If you want to actively develop ODXL, and possibly, contribute your work back to the community, then you should clone or fork the github repository and work from there.
Getting started with the sample application
To get up and running quickly, we included a sample web application in the ODXL project. The purpose of this sample application is to provide an easy way to evaluate and test ODXL.
The sample application lets you browse the available database schemas and queryable objects: tables and views, including calculation views (or at least, their SQL queryable runtime representation). After making the selection, it will build up a form showing the available columns. You can then use the form to select or deselect columns, apply filter conditions, and/or specify any sorting order. If the selected object is a calculation view that defines input parameters, then a form will be shown where you can enter values for those too.
In the mean while, as you’re entering options into the form, a textarea will show the URL that should be used to invoke the ODXL service. If you like, you can manually tweak this URL as well. Finally, you can use one of the download links to immediately download the result corresponding to the current URL in either .csv or .xlsx format.
Alternatively, you can hit a button to add the URL to a batch request. When you’re done adding items to the batch, you can hit the download workbook button to download as single .xlsx workbook, containing one worksheet for each dataset in the batch.
What versions of SAP/HANA are supported?
We initially built and tested ODXL on SPS9. The initial implementation used the $.hdb database interface, as well as the $.util.Zip builtin.
We have not actively tested earlier SAP/HANA versions, but as far as we know, ODXL should work on any earlier version. If you find that it doesn’t, then please let us know – we will gladly look into the issue and see if we can provide a solution.
How to Contribute
If you want to, there are many different ways to contribute to ODXL.
- If you want to suggest a new feature, or report a defect, then please use the github issue tracker.
- If you want to contribute code for a bugfix, or for a new feature, then please send a pull request. If you are considering to contribute code then we do urge you to first create an issue to open up discussion with fellow ODXL developers on how to best scratch your itch
- If you are using ODXL and if you like it, then consider to spread the word – tell your co-workers about it, write a blog, or a tweet, or a facebook post.
Thank you in advance for your contributions!
I hope you enjoyed this post! I hope ODXL will be useful to you. If so, I look forward to getting your feedback on how it works for you and how we might improve it. Thanks for your Time!