Direct Extractor Connection data replication reuses existing extraction, transformation, and load mechanism built into SAP Business Suite systems via a simple HTTP(S) connection to SAP HANA. It is a batch-driven data replication technique. It is considered as method for extraction, transformation, and load with limited capabilities for data extraction.

DXC is a batch driven process and data extraction using DXC at certain interval is enough in many cases. You can set an interval when batch job executes example: every 20 minutes and in most of cases it is sufficient to extract data using these batch jobs at certain time intervals.

Advantages of DXC Data Replication

This method requires no additional server or application in the SAP HANA system landscape.
DXC method reduces complexity of data modeling in SAP HANA as data sends to HANA after applying all business extractor logics in Source System.
It speeds up the time lines for SAP HANA implementation project
It provides semantically rich data from SAP Business Suite to SAP HANA
It reuses existing proprietary extraction, transformation, and load mechanism built into SAP business Suite systems over a simple HTTP(S) connection to SAP HANA.

Limitations of DXC Data Replication

Data Source must have a predefined mechanism for extraction, transformation and load and if not we need to define one.
It requires a Business Suite System based on Net Weaver 7.0 or higher with at least below SP: Release 700 SAPKW70021 (SP stack 19, from Nov 2008).

Configuring DXC Data Replication

Enabling XS Engine service in Configuration tab in HANA Studio − Go to Administrator tab in HANA studio of system. Go to Configuration → xsengine.ini and set instance value to 1.

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Enabling ICM Web Dispatcher service in HANA Studio − Go to Configuration → webdispatcher.ini and set instance value to 1.

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It enables ICM Web Dispatcher service in HANA system. Web dispatcher uses ICM method for data read and loading in HANA system.

Setup SAP HANA Direct Extractor Connection − Download the DXC delivery unit into SAP HANA. You can import the unit in the location /usr/sap/HDB/SYS/global/hdb/content.

Import the unit using Import Dialog in SAP HANA Content Node → Configure XS Application server to utilize the DXC → Change the application_container value to libxsdxc

Creating a HTTP connection in SAP BW − Now we need to create http connection in SAP BW using transaction code SM59.

Input Parameters − Enter Name of RFC Connection, HANA Host Name and <Instance Number>

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In Log on Security Tab, enter the DXC user created in HANA studio using basic Authentication method −

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Setting up BW Parameters for HANA − Need to Setup the Following Parameters in BW Using transaction SE 38. Parameters List −

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PSA_TO_HDB_DESTINATION − we need to mention where we need to move the Incoming data (Connection Name created using SM 59)
PSA_TO_HDB_SCHEMA − To which Schema the replicated data need to assign
PSA_TO_HDB − GLOBAL To Replicate All data source to HANA. SYSTEM – Specified clients to Use DXC. DATASOURCE – Only Specified Data Source are used for
PSA_TO_HDB_DATASOURCETABLE − Need to Give the Table name having the List of data sources which are used for DXC.

Data Source Replication

Install data source in ECC using RSA5.

Replicate the metadata using specified application component (data source version Need to 7.0, if we have 3.5 version data source we need to migrate that. Active the data Source in SAP BW. Once data source is activated in SAP BW it will create the following Table in Defined schema −

/BIC/A<data source>00 – IMDSO Active Table
/BIC/A<data source>40 –IMDSO Activation Queue
/BIC/A<data source>70 – Record Mode Handling Table
/BIC/A<data source>80 – Request and Packet ID information Table
/BIC/A<data source>A0 – Request Timestamp Table
RSODSO_IMOLOG – IMDSO related table. Stores information about all data sources related to DXC.

Now data is successfully loaded into Table /BIC/A0FI_AA_2000 once it is activated.

SAP HANA – CTL Method

Open SAP HANA Studio → Create Schema under Catalog tab. <Start here>

Prepare the data and save it to csv format. Now create file with “ctl” extension with following syntax −

—————————————

import data into table Schema.”Table name”

from ‘file.csv’

records delimited by ‘\n’

fields delimited by ‘,’

Optionally enclosed by ‘”‘

error log ‘table.err’

—————————————–

Transfer this “ctl” file to the FTP and execute this file to import the data −

import from ‘table.ctl’

Check data in table by going to HANA Studio → Catalog → Schema → Tables → View Content

SAP HANA – MDX Provider

MDX Provider is used to connect MS Excel to SAP HANA database system. It provides driver to connect HANA system to Excel and is further, used for data modelling. You can use Microsoft Office Excel 2010/2013 for connectivity with HANA for both 32 bit and 64 bit Windows.

SAP HANA supports both query languages − SQL and MDX. Both languages can be used: JDBC and ODBC for SQL and ODBO is used for MDX processing. Excel Pivot tables use MDX as query language to read data from SAP HANA system. MDX is defined as part of ODBO (OLE DB for OLAP) specification from Microsoft and is used for data selections, calculations and layout. MDX supports multidimensional data model and support reporting and Analysis requirement.

MDX provider enables the consumption of Information views defined in HANA studio by SAP and non-SAP reporting tools. Existing physical tables and schemas presents the data foundation for Information models.

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Once you choose SAP HANA MDX provider from the list of data source you want to connect, pass HANA system details like host name, instance number, user name and password.

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Once the connection is successful, you can choose Package name → HANA Modeling views to generate Pivot tables.

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MDX is tightly integrated into HANA database. Connection and Session management of HANA database handles statements that are executed by HANA. When these statements are executed, they are parsed by MDX interface and a calculation model is generated for each MDX statement. This calculation model creates an execution plan that generates standard results for MDX. These results are directly consumed by OLAP clients.

To make MDX connection to HANA database, HANA client tools are required. You can download this client tool from SAP market place. Once installation of HANA client is done, you will see the option of SAP HANA MDX provider in the list of data source in MS Excel.

So, this brings us to the end of blog. This Tecklearn ‘DXC Replication Method and CTL Method and MDX provider in SAP Hana’ blog helps you with commonly asked questions if you are looking out for a job in SAP Hana and SAP Domain. If you wish to learn SAP Hana and build a career in SAP domain, then check out our interactive, SAP HANA Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:
https://www.tecklearn.com/course/sap-hana-training-certification/

SAP HANA Training

About the Course

SAP HANA is an in-memory computing application that is designed and developed to boost the business processes, deliver smart solutions, and simplify both hardware and software environments. Our Sap Hana Training course will help you understand and learn the fundamentals and will also felicitate on training hands-on for the better grasp on the course. Further, we have the highly qualified professionals who will train you about Sap Hana Studio, Modelling, Security features and its various other aspects. You will understand why SAP HANA is a fundamentally different database engine upon the completion of this SAP HANA course.

Why Should you take SAP HANA Training?

The average Sap Hana Consultant salary $165,750 per year or $85 per hour. (neuvoo.com).
SAP HANA is the highest growing technology; hence, there is no surprise in plenty of career opportunities in this field. Since it is one among the fastest-growing products in the history of SAP, it is considered by the industries as a ground-breaking key for in-memory databases.
SAP HANA currently has more than 6,500 customers globally.

What you will Learn in this Course?

Introduction to SAP HANA

Fundamentals of SAP HANA
Capabilities of SAP HANA
Limitations of SAP HANA

Key Features of SAP HANA

Key Features: High Performance functionalities In-Memory computing, Columnar store database, Data Compression and Massive Parallel Processing
Using SAP HANA for Non-SAP Applications

Architecture of SAP HANA

Detailed Architecture of SAP HANA Database
Concept of SAP HANA Landscapes and Scenarios

Overview of HANA Studio

SAP HANA System – Perspectives, Administration, Modelling, Development Plan
HANA Database SQL Basics and Database SQL Script
Types of statements and data types
Operators, expressions and basic query execution
Sub-queries, Types of Joins, Expressions and Loops
Catalog – Schema, Table, Views, Functions, Stored Procedures, Index, Synonyms, Sequences, Triggers

Data Provisioning

Data Provisioning with Flat File upload
Provisioning – SDA (Smart Data Access)
Joins Types in HANA

SAP HANA Modelling

Types of Models
Attribute Views, Joins and Using Filter Operations
Creating Restricted and Calculated Columns
Using Hierarchies
Analytic Views – Star Schema design and Multi-Dimensional Modelling
Variables and Input parameters

Calculation Views

Dimension Calculation View
Information View
SAP HANA Variables
Introduction to Input Parameters

SAP Project

Using HANA analytical view building of COPA (Controlling and Profitability Analysis) model
SAP HANA COPA for evaluation of market segments and classification of markets according to the products, customers or any combination of it

Dimension Calculation View

Dimension Calculation View – Star Join Calculation view
Using Projection, Join, Aggregation, Union and Rank

In-depth Modelling

Refactoring information models
Schema Mapping
Propagate to schematics and Show Lineage
Schema Mapping
Generating Time Data
Union Pruning
Using Time Travel
Migrating deprecated Information models
Using Currency Conversion
Web based Modelling Work bench

Analytic Privileges and Decision Tables

Classical Analytic Privileges
SQL Analytic Privileges
Dynamic analytic Privileges.
Turning Business Rules into Decision tables
Table Functions

SAP HANA Table Function

Query Optimizing Technique related to SAP HANA Tables
Web Based Modelling work bench

SAP HANA on Cloud

SAP Analytics with SAP Reporting environment SAP BOBJ – tools, WEBI, LUMIRA, DASHBOARD (integration between sap Hana and bob)

Advanced Topics Overview

SAP HANA Dynamic tiering
Delta Merge
SDI (Smart Data Integration)
SDA (Smart Data Access)

DATA Provisioning

SLT – SAP Landscape Transformation
BODS – Business Objects Data Services

Analytical Privileges

Classical XML Based Analytical Privileges
SQL Analytical Privileges

HANA Administration and Security

Hana Administration
Security in SAP HANA – User Management

Got a question for us? Please mention it in the comments section and we will get back to you.

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