First Guidance... Using Advanced DataStore Objects in SAP BW powered by SAP HANA

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1 SAP First Guidance SAP NetWeaver BW 7.4 SP8 or higher SAP HANA First Guidance... Using Advanced DataStore Objects in SAP BW powered by SAP HANA Applicable Releases: SAP BW 7.4 SP8, powered by HANA and higher This First Guidance document is part of a series of documents that should help to better understand the various concepts of SAP BW powered by SAP HANA. The documents are still work in progress, so these guides are not intended to be exhaustive so far, and might never be. The purpose of these documents is to deliver additional information besides SAP Help and blogs to get a better understanding of the concepts of SAP BW powered by SAP HANA. Version 1.0 February 2016

2 Copyright 2015 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. 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3 Document History Document Version Description 1.00 First official release of this guide

4 Typographic Conventions Type Style Example Text Description Words or characters quoted from the screen. These include field names, screen titles, pushbuttons labels, menu names, menu paths, and menu options. Cross-references to other documentation Icons Icon Description Caution Note or Important Example Recommendation or Tip Example text Example text Example text <Example text> EXAMPLE TEXT Emphasized words or phrases in body text, graphic titles, and table titles File and directory names and their paths, messages, names of variables and parameters, source text, and names of installation, upgrade and database tools. User entry texts. These are words or characters that you enter in the system exactly as they appear in the documentation. Variable user entry. Angle brackets indicate that you replace these words and characters with appropriate entries to make entries in the system. Keys on the keyboard, for example, F2 or ENTER.

5 Table of Contents 1. Introduction Services provided by the adso Requirements Back-End Requirements Requirements for the modeling environment Conversion of classic objects to the adso Understanding the Modeling Properties Introduction Data Example Overview Data Example Characteristics of Combination Data Load Results Aggregation of Reporting View after load Data Example Characteristics of Combination Data Load Results Aggregation of Reporting View after load Data Example Characteristics of Combination Data Load Results Aggregation of Reporting View after load Data Example Characteristics of Combination Data Load Results Aggregation of Reporting View after load Data Example Characteristics of Combination Data Load Results Aggregation of Reporting View after load Selecting the modeling properties using LSA++ templates Using the extended table property of the adso (for dynamic tiering) Bypassing the PSA tables with the adso and ODP Framework Consuming the adso Is a virtual layer still required? Unsupported Data Types Navigational Attributes Navigational Attributes for Data Staging Transitive Attributes Export DataSource March

6 1. Introduction In recent years SAP s approach to data warehousing has gone through a period of evolution. Moving away from traditional techniques, SAP BW 7.4 powered by SAP HANA opens the door for new modeling possibilities, enabling a leaner and more agile environment. The advanced Data Store Object (adso) is a new object type introduced in SAP BW 7.4 SP8 powered by SAP HANA, The adso simplifies data persistency consolidating the InfoCube, Data Store Object (writeoptimized, standard and direct update) and PSA tables of prior releases. When implementing the adso, it is important to understand the configuration options available and the scenarios in which they are designed to be used. It is the aim of this document to provide such information as well as general guidance for the use of the adso. Superseded objects are referred to in this document as classic objects or individually prefixed with the word classic (e.g. classic InfoCube). Whilst classic objects are supported and may still be required in certain scenarios (check Note ), there are advantages to adopting the adso. The adso; - Represents a single object for data persistency, simplifying the modeling and support environment - Provides greater control over the structure and behaviour of the object (using properties to mimic the behaviours of classic objects) - Can be modelled using fields, InfoObjects or a combination of both - Provides integration with other new tools in the modern DW, namely, the Composite Provider and the Open ODS view - Has advanced remodeling capabilities to reduce the impact and time to implement changes - Has new request handling capabilities for optimizing high data volumes - Will be SAP s strategic object for data persistency in BW powered by SAP HANA moving forward 1.1 Services provided by the adso When deciding whether to use BW to persist data for reporting, it is important to understand the requirement for storage and data management services. The adso inherits the Data Warehousing services from the classic BW objects. These include: - Options for request handling, rollback and reload on committed (and activated) data - Controlled error handling - Built in Delta handling capabilities o For various types of delta records, After, Before, Reverse (ABR), Additive (ADD), After Image (AIM, AIMD) and like data sources and o For movement of data within the DW - Robust application lifecycle management framework - Pre-delivered business content - Fully integrated scheduling and monitoring capabilities - Integrity checks (for master data) - Advanced authorisation concept (including hierarchy level) - Optimized access for reading and reporting - Content specific storage options (such as non-cumulative key figures) March

7 - Business Planning capabilities References For more information about the adso, please take a look at the following resources: adso Help Documentation New Modeling Tools Video Series (advanced) DataStore Object - availability in BW7.4 SP08, SP09 and SP10 March

8 2. Requirements 2.1 Back-End Requirements The adso object type is available from BW 7.4 SP8 powered by SAP HANA, however, SAP highly recommends using the latest release and support package (check the PAM). For customers using BW 7.4 SP8 SP11, note should be reviewed to ensure all relevant and critical fixes have been applied. Additional features have been included incrementally from SP8 SP11, for a list of these features and corresponding availability please review the attachment to note References For more information about the adso back-end requirements, please take a look at the following resources: Product Availability Matrix (advanced) DataStore Object - availability in BW7.4 SP08, SP09 and SP Requirements for the modeling environment The BW modeling tools in Eclipse are used to model the adso object. The object cannot be created or edited in the SAP GUI however it is visible to the RSA1 InfoProvider tree. For modellers, it is highly recommended to use the latest version of the BW development plug-in for Eclipse. Detailed instructions on how to install and or upgrade the Eclipse environment for BW modeling can be found on the BW Video Series SDN page (see references). References For more information about the adso front-end requirements, please take a look at the following resources: New Modeling Tools Video Series Download BW Modeling Tools 2.3 Conversion of classic objects to the adso A tool for converting the classic objects to the adso is planned from BW 7.5 SP2. For customers on a prior release there is an option to convert objects manually. This process is described in the SCN blog in the reference section below. References For more information about convesrion to the adso, please take a look at the following resources: Blog - Converting DataStore objects and InfoCubes into advanced DataStore objects: BW4HANA: Transfer Enhancements March

9 3. Understanding the Modeling Properties 3.1 Introduction The adso inherits the same physical table structure of the classic standard DSO. The object is made up of three tables, which may or may not be used depending on the scenario. Table structure of the adso Active Data <Field <Field Key> RECORDMODE <Field> Change Log RECORD RECORDMODE <Field Key> <Field Key> <Field>. Activation Process Activation Process Inbound Data RECORD RECORDMODE <Field Key> <Field Key> <Field>. In addition to the physical tables, two views are created, one for data extraction and the other for reporting. The data extraction view is relevant only for initial and full loads. The adso physical structure, views and behaviour can be controlled using the modeling properties highlighted below. By selecting different property combinations, the adso can mimic the structure and functionality of any classic object. March

10 Note The extended table property alters the physical location of the data which does not cause the adso to behave differently hence this property will not be included in the data examples below (for more information on the extended table property refer to the relevant section below). The Unique Data Records property should only be activated where the uniqueness of the records is guaranteed by the source and is designed only to accelerate load performance. This property bypasses BW s built in referential check and does not impact the structure or behaviour of the adso. Again, this will not be included in the data examples. How records should be processed will depend on both the source of the data and the purpose of the object. For example, records may be extracted from the source using an after image delta mechanism, but it s only after looking at the purpose of the object that a decision can be made about the structure and behaviour. An adso used for reporting current data (typically within the propagation or reporting layer of the LSA++) will have different properties to one used for storing historical data movements (typically within the Open ODS or corporate memory layers of the LSA++). These requirements may be aligned with layers in the LSA++ methodology, hence it may be helpful to use or review the LSA++ templates available which populate these properties. For more information please see section 3.8 Selecting the modeling properties using LSA++ templates References For more information about convesrion to the adso, please take a look at the following resources: Help Templates for Modeling the Data Warehousing Layers Help adso modeling properties March

11 3.2 Data Example Overview To illustrate the impact of the different modeling properties, the following section of the document will use a simple data example. Data will be loaded into a set of adso s with different combinations of the modeling properties selected, the result in the underlying tables and views will be shown for each step. There are five possible combinations of modeling properties which could be selected in the adso maintenance screen, these are depicted below in Example 1 5. Example 1 Example 2 Example 3 Example 4 Example 5 For each of these examples, two requests are loaded. The first request loads new records into the adso, the second request loads a delta or change. If activation is possible, it occurs after each load. The key of the data is not applicable for some combinations, in these cases the key is ignored in the adso definition. New Data Request DOCNUMBER (KEY) DOCITEM (KEY) AMOUNT STATUS A A Delta Data Request DOCNUMBER (KEY) DOCITEM (KEY) AMOUNT STATUS A B Record with indicative key 100/1 demonstrates an update to a key figure Record with indicative key 100/2 demonstrates an update to a characteristic The contents of the tables and views will be shown in the different load states 1. After initial data load (new data request) 2. After activation of initial data load 3. After delta data Load (delta data request) 4. After Activation of delta data load March

12 3.3 Data Example 1 Definition Note This Property combination does not allow a user defined key The figure below shows the table structure which is activated for this property combination. March

13 3.3.1 Characteristics of Combination Similar to (classic object) Usage Key Delta Processing (reporting accuracy) Outbound Delta Mechanism Reporting Availability Validity of Extraction Delta Rollback/Request Deletion PSA table, Write-Optimised DSO Data Acquisition Layer, Corporate Memory Layer System Defined, Request ID/Record Additive Delta (ADD), After, Before and Reverse (ABR) Inherited from the inbound data source Immediately after load Immediately after load All loaded data Data Load Results Object Table Object View 1. Data Load Inbound table Extraction View Change Log table N/A Reporting View Active table N/A Note: Data is available for reporting and extraction immediately after loading 2. Activate Data Load - Data cannot be activated for this property combination 3. Delta Load Inbound table Extraction View Change Log table N/A Reporting View Active table N/A 4. Activate Delta Load - Data cannot be activated for this property combination March

14 3.3.3 Aggregation of Reporting View after load By Doc Number and Doc Item By Status Caution When using this property combination for reporting be mindful that all requests are aggregated which may produce incorrect results if only after image delta records are received. March

15 3.4 Data Example 2 Definition The figure below shows the table structure which is activated for this property combination. March

16 3.4.1 Characteristics of Combination Similar to (classic object) Usage Key Delta Processing (reporting accuracy) Outbound Delta Mechanism Reporting Availability Validity of Extraction Delta Rollback/Request Deletion Not similar to any classic object Corporate Memory or Reporting (please be aware of limitations regarding rollback) User Defined Additive Delta (ADD)*, After, Before and reverse (ABR), After Image (AIM, AIMD) Inherited from the inbound data source Active data only Only before data activation, once data is activated delta extraction is not possible Only before data activation, once data is activated rollback is not possible * Assuming Summation is selected on the Key Figures within the transformation definition Data Load Results Object Table Object View 1. Data Load Inbound table Extraction View Change Log table N/A Reporting View Active table Note: Extraction is available immediately after loading. Reporting is not available until activation 2. Activate Data Load Inbound table Extraction View Change Log table N/A Reporting View Active table March

17 3. Delta Load Inbound table Extraction View Change Log table N/A Reporting View Active table 4. Activate Delta Load Inbound table Extraction View Change Log table N/A Reporting View Active table Note: Full delta extraction is not available once the object is activated. Be mindful of the data extraction requirements when considering this option Aggregation of Reporting View after load By Doc Number and Doc Item By Status March

18 3.5 Data Example 3 Definition The figure below shows the table structure which is activated for this property combination. March

19 3.5.1 Characteristics of Combination Similar to (classic object) Usage Key Delta Processing (reporting accuracy) Outbound Delta Mechanism Reporting Availability Validity of Extraction Delta Rollback/Request Deletion Standard DSO Propagation Layer User Defined Additive Delta (ADD)*, After, Before and reverse (ABR), After Image (AIM, AIMD) After, Before and reverse (ABR) Active data only For as long as data exists in Change Log For as long as data exists in Change Log * Assuming Summation is selected on the Key Figures within the transformation definition Data Load Results Object Table Object View 1. Data Load Inbound table Extraction View Change Log table Reporting View Active table Note: Extraction and Reporting are not available until the data load has been activated 2. Activate Data Load Inbound table Extraction View Change Log table Note, the extraction view is only used for full and delta initialisation. Reporting View Active table March

20 3. Delta Load Inbound table Extraction View Change Log table Reporting View Active table 4. Activate Delta Load Inbound table Extraction View Change Log table Note, the extraction view is only used for full and delta initialisation. Delta extraction uses the change log table Reporting View Active table Aggregation of Reporting View after load By Doc Number and Doc Item By Status March

21 3.6 Data Example 4 Definition The figure below shows the table structure which is activated for this property combination. March

22 3.6.1 Characteristics of Combination Similar to (classic object) Usage Key Delta Processing (reporting accuracy) Outbound Delta Mechanism Reporting Availability Validity of Extraction Delta Rollback / Request Deletion Not similar to any classic object Corporate Memory User Defined Additive Delta (ADD)*, After, Before and reverse (ABR), After Image (AIM, AIMD) Inherited from the source data Active data only For as long as data exists in the inbound table, retained by default For as long as data exists in the inbound table, retained by default * Assuming Summation is selected on the Key Figures within the transformation definition Data Load Results Object Table Object View 1. Data Load Inbound table Extraction View Change Log table Reporting View Active table 2. Activate Data Load Inbound table Extraction View Change Log table Reporting View Active table March

23 3. Delta Load Inbound table Extraction View Change Log table Reporting View Active table 3. Activate Delta Load Inbound table Extraction View Change Log table Reporting View Active table Aggregation of Reporting View after load By Doc Number and Doc Item By Status March

24 3.7 Data Example 5 Definition Note This Property combination does not allow a user defined key The figure below shows the table structure which is activated for this property combination. March

25 3.7.1 Characteristics of Combination Similar to (classic object) Usage Key Delta Processing (reporting accuracy) Outbound Delta Mechanism Reporting Availability Validity of Extraction Delta Rollback InfoCube Propagation / Reporting Layers All Characteristics are key Additive Delta (ADD), After, Before and reverse (ABR) Inherited from the source data Immediately after load Inactivated data only Inactivated data only Data Load Results Object Table Object View 1. Data Load Inbound table Extraction View Change Log table N/A Reporting View Active table 2. Activate Data Load Inbound table Extraction View Change Log table N/A Reporting View Active table 3. Delta Load Inbound table Extraction View March

26 Change Log table N/A Reporting View Active table 3. Activate Delta Load Inbound table Extraction View Change Log table N/A Reporting View Active table Aggregation of Reporting View after load By Doc Number and Doc Item By Status March

27 3.8 Selecting the modeling properties using LSA++ templates The flow chart below may assist in the selection of the modeling properties. March

28 3.9 Using the extended table property of the adso (for dynamic tiering) As of BW7.5 SP1, the option to assign the adso to extended storage (dynamic tiering) is available for all adso types. The use of this option should be aligned to the overall data aging strategy of the customer; detailing when and how data is aged. This may also include the use of BW NLS. The differences between dynamic tiering and BW NLS are highlighted below At the time of writing this document, extended storage is allocated at the table level (a table either belongs to the extended storage or it doesn t). Note Dynamic tiering and NLS may require additional licenses and hardware. References For more information about the adso extended property functionality, please take a look at the following resources: Note Conversion of PSA and write-optimised DSOs in SAP-HANA extended tables 4. Bypassing the PSA tables with the adso and ODP Framework The PSA table can be bypassed by using the adso and Operation Data Provisioning (ODP) framework under the following circumstances - Data is extracted from an ABAP-based SAP Source System - The DataSource is ODP enabled AND, - Data Extraction mechanism is set to Directly from the source system on the DTP (to bypass the PSA) March

29 The process is described as follows References For more information about the adso extended property functionality, please take a look at the following resources: ODP Framework Help Documentation March

30 5. Consuming the adso 5.1 Is a virtual layer still required? Creating an abstraction between the data model and the end-user report is still fundamental to good data warehouse design. In fact, this concept may have even more relevance, given the new data acquisition options available (for example virtualisation through SDA). For the adso, it is recommended to use the Composite Provider or Open ODS view within the Virtualisation layer and not to report directly off the adso itself. BW Query BW Query BW Query Generated Dataflow Composite Provider OODSV adso adso adso adso Not Recommended References Recommended Recommended where the adso is generated from Open ODS View For more information about the adso extended property functionality, please take a look at the following resources: How to implement virtual integration of external data with SAP BW powered by SAP HANA March

31 5.2 Unsupported Data Types With the introduction of field-based modeling, some data types available in the adso are not visible for reporting or consumption directly in BW. A full list of supported data types can be found in note For data types which are not supported for reporting, an Open ODS View can be used to convert the field into a supported data type. Example: Querying an unsupported data type In the example below an adso is created with the field DESCRIPTION defined as a Sting which is not a supported data type of BW. When the adso is queried directly, only supported data types are made available. (note in the example below that DESCRIPTION is not available as a drill down) March

32 Also note that the field DESCRIPTION will not be available in the Composite Provider definition. This is because the Composite Provider does not provide data type conversion. To make the field accessible for reporting an Open ODS view must be used. In this example, an Open ODS view is created using the adso as the source. By using the Open ODS view, the application will automatically apply the conversion on the field DESCRIPTION. When the Open ODS view is queried, the field DESCRIPTION is available. March

33 5.3 Navigational Attributes Unlike classic objects, consumption options for the adso can only be defined in the virtualisation layer objects (using the OpenODS View or the CompositeProvider). These include - Creating semantic associations with data residing in BW (for example an Open ODS view or InfoObject) - Defining compounding characteristics for InfoObjects - Assigning navigational attributes Example: Activating a Navigational Attribute for Reporting In the following example the navigational attributes associated with InfoObject 0D_NW_PRID are activated. In the Composite Provider definition, go to the output tab March

34 Right click the object which stores the navigational attributes (in this case 0D_NM_PRID) and select navigational attributes Select the navigational attributes to add and click OK Navigational Attributes for Data Staging A less common use for the navigational attribute is for data staging; used within a transformation or as a data filter within a DTP. As of BW7.5 SP1 there is an option for selecting a navigational attribute within the adso, this feature is only relevant for data staging scenarios and has no impact on reporting Transitive Attributes A characteristic in an InfoProvider can have navigational attributes, which can be used to navigate within queries. These navigational attributes can themselves also have navigational attributes, which are called transitive attributes. In the diagram below characteristic 0COSTCENTER has attribute 0COMP_CODE. 0COMP_CODE has an attribute 0COMPANY. In this case 0COMPANY is considered a transitive attribute. Traditionally there have been challenges in incorporating transitive attributes into a data model for reporting. March

35 Whilst it is planned to include functionality specifically for modeling transitive attributes, transitive attributes can be modelled today by using a left outer join between the individual InfoObjects within the Composite Provider. 5.4 Export DataSource To transfer data from the adso to another BW system, an ODP DataSource must be used. To set up the ODP DataSource, the process described in the SAP help documentation should be followed (see reference section). Prior to BW7.5 SP1, only full extraction was available for this scenario. References For more information about the adso extended property functionality, please take a look at the following resources: Help Documentation: Exchanging Data between BW Systems Using the ODP Source System March

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