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Let your DuckDB quack SAP!

Disclaimer: This extension is currently in an experimental state. Feel free to try it out, but be aware that minimal testing and benchmarking were done.

With ERPL, use Enterprise Data in your Data Science and ML pipelines within minutes!

Quick Install

Install with two lines of code in DuckDB (unsigned option must be set):

INSTALL 'erpl' FROM 'http://get.erpl.io';
LOAD 'erpl';

Quicklinks


β˜… What is the ERPL Extension?

The primary objective of this DuckDB extension is to facilitate seamless integration with the SAP data ecosystem. Our approach prioritizes:

  • Minimal dependencies: Ensuring a lightweight experience.
  • User-centric design: Intuitive and straightforward usage for DuckDB users.

We focus predominantly on two main use cases:

  • Data Science & Analytics: Directly accessing data from SAP ERP (via RFC) and SAP BW (via BICS) for interactive analytical tasks.
  • Data Replication: Efficiently migrating data from SAP ERP or SAP BW into DuckDB for incorporation into DuckDB-centric data workflows.

Please be aware that DataZoo GmbH is the independent developer of this extension and does not hold any affiliation with DuckDB Labs or the DuckDB Foundation. "DuckDB" is a trademark registered by the DuckDB Foundation.

Our development journey is underway, with a functioning prototype available that facilitates:

  • Data queries from SAP ERP tables.
  • Execution of RFC functions.

Transparency is our ethos, and in line with this, we are planning a commercial trajectory for the extension, structured as follows:

  • Community Edition: A gratis version for individual users, both private and commercial, enabling queries from SAP ERP tables.
  • Commercial License: Designed for businesses developing services or products leveraging our extension. More details can be found in our BSL v1. License.
  • Enterprise Edition: A premium version offering additional capabilities to query data from SAP Business Warehouse and data replication via SAP ODP.

For inquiries, potential collaborations, or if your curiosity is piqued, connect with us at https://erpl.io.

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βš™ Example Usage

A first example demonstrates how to join two SAP tables with an external table. We’ll be using the ABAP Flight Reference Scenario, specifically joining the SFLIGHT and SPFLI tables which contain flight and flight schedule details respectively, with an external table WEATHER that holds weather information. We will extract flight information and associated temperatures at departure and arrival cities.

To start with, we assume you have setup DuckDB and already installed the ERPL extension (see below) and have access to an SAP system having the ABAP Flight Reference Scenario data.

First we start DuckDB with the -unsigned - flag set. Then we load the extension and configure the necessary credentials to connect to the SAP system:

LOAD `erpl`;

SET sap_ashost = 'localhost';
SET sap_sysnr = '00';
SET sap_user = 'DEVELOPER';
SET sap_password = 'ABAPtr1909';
SET sap_client = '001';
SET sap_lang = 'EN';

In our case we use the docker based ABAP Platform Trial. The credentials are set by default, details can be found in the documentation of the docker image.

Now we explore the schema of the three tables tables:

SELECT * FROM SAP_DESCRIBE_FIELDS('SFLIGHT');
pos is_key field text sap_type length decimals check_table ref_table ref_field language
0001 X MANDT Client CLNT 000003 000000 T000 E
0002 X CARRID Airline Code CHAR 000003 000000 SCARR E
0003 X CONNID Flight Connection Number NUMC 000004 000000 SPFLI E
0004 X FLDATE Flight date DATS 000008 000000 E
0005 PRICE Airfare CURR 000015 000002 SFLIGHT CURRENCY E
0006 CURRENCY Local currency of airline CUKY 000005 000000 SCURX E
0007 PLANETYPE Aircraft Type CHAR 000010 000000 SAPLANE E
0008 SEATSMAX Maximum Capacity in Economy Class INT4 000010 000000 E
0009 SEATSOCC Occupied Seats in Economy Class INT4 000010 000000 E
0010 PAYMENTSUM Total of current bookings CURR 000017 000002 SFLIGHT CURRENCY E
0011 SEATSMAX_B Maximum Capacity in Business Class INT4 000010 000000 E
0012 SEATSOCC_B Occupied Seats in Business Class INT4 000010 000000 E
0013 SEATSMAX_F Maximum Capacity in First Class INT4 000010 000000 E
0014 SEATSOCC_F Occupied Seats in First Class INT4 000010 000000 E
SELECT * FROM SAP_DESCRIBE_FIELDS('SPFLI');
pos is_key field text sap_type length decimals check_table ref_table ref_field language
0001 X MANDT Client CLNT 000003 000000 T000 E
0002 X CARRID Airline Code CHAR 000003 000000 SCARR E
0003 X CONNID Flight Connection Number NUMC 000004 000000 E
0004 COUNTRYFR Country Key CHAR 000003 000000 SGEOCITY E
0005 CITYFROM Departure city CHAR 000020 000000 SGEOCITY E
0006 AIRPFROM Departure airport CHAR 000003 000000 SAIRPORT E
0007 COUNTRYTO Country Key CHAR 000003 000000 SGEOCITY E
0008 CITYTO Arrival city CHAR 000020 000000 SGEOCITY E
0009 AIRPTO Destination airport CHAR 000003 000000 SAIRPORT E
0010 FLTIME Flight time INT4 000010 000000 E
0011 DEPTIME Departure time TIMS 000006 000000 E
0012 ARRTIME Arrival time TIMS 000006 000000 E
0013 DISTANCE Distance QUAN 000009 000004 SPFLI DISTID E
0014 DISTID Mass unit of distance (kms, miles) UNIT 000003 000000 E
0015 FLTYPE Flight type CHAR 000001 000000 E
0016 PERIOD Arrival n day(s) later INT1 000003 000000 E
DESCRIBE SELECT * FROM 'WEATHER.csv';
column_name column_type null key default extra
FLDATE DATE YES
COUNTRY VARCHAR YES
CITY VARCHAR YES
TEMPERATURE DOUBLE YES
CONDITION VARCHAR YES

The actual example joins this three tables:

SELECT 
  f.CARRID,
  f.CONNID,
  f.FLDATE,
  s.CITYFROM as CITY_FROM,
  ROUND(w_from.TEMPERATURE, 1) as TEMP_FROM,
  s.CITYTO as CITY_TO,
  ROUND(w_to.TEMPERATURE, 1) as TEMP_TO,
  FROM sap_read_table('SFLIGHT') AS f
  JOIN sap_read_table('SPFLI') AS s 
      ON (f.MANDT = s.MANDT AND f.CARRID = s.CARRID AND f.CONNID = s.CONNID)
  JOIN "WEATHER.csv" AS w_from
      ON (f.FLDATE = w_from.FLDATE AND s.COUNTRYFR = w_from.COUNTRY AND s.CITYFROM = w_from.CITY)
  JOIN "WEATHER.csv" AS w_to
      ON (f.FLDATE = w_to.FLDATE AND s.COUNTRYTO = w_to.COUNTRY AND s.CITYTO = w_to.CITY)
  ORDER BY 1, 2, 3
  LIMIT 25

This SQL query performs the following operations:

  • Retrieves flight details from SFLIGHT using ERPL's sap_read_table, aliasing it as f.
  • Again using ERPL's sap_read_table we join SPFLI (aliased as s) on MANDT, CARRID, and CONNID to get the flight's city of origin and destination.
  • Incorporates two instances of an external weather data CSV file, w_from and w_to, matching on flight date and respective cities' country and name for departure and arrival.
  • Rounds the temperature data to one decimal place for readability.
  • Orders the results by CARRIER_ID, CONNECTION_ID, and FLIGHT_DATE.
  • Limits the output to the first 25 rows for a concise view.

The output of this query will provide a comprehensive view of the flights, including their departure and arrival cities, and the corresponding temperatures, thus offering valuable insights for flight operations analysis.

| CARRID   |   CONNID | FLDATE              | CITY_FROM   |   TEMP_FROM | CITY_TO       |   TEMP_TO |
|:---------|---------:|:--------------------|:------------|------------:|:--------------|----------:|
| AA       |     0017 | 2016-11-15 00:00:00 | NEW YORK    |        28.3 | SAN FRANCISCO |      19.8 |
| AA       |     0017 | 2017-02-03 00:00:00 | NEW YORK    |        18.9 | SAN FRANCISCO |      17.2 |
| AA       |     0017 | 2017-04-24 00:00:00 | NEW YORK    |        14.7 | SAN FRANCISCO |      16.2 |
| AA       |     0017 | 2017-07-13 00:00:00 | NEW YORK    |        16.8 | SAN FRANCISCO |      22.5 |
| AA       |     0017 | 2017-10-01 00:00:00 | NEW YORK    |        14.6 | SAN FRANCISCO |      28.3 |
| AA       |     0017 | 2017-12-20 00:00:00 | NEW YORK    |        13   | SAN FRANCISCO |      21.4 |
| AZ       |     0555 | 2016-11-15 00:00:00 | ROME        |        20.6 | FRANKFURT     |      24.2 |
| AZ       |     0555 | 2017-02-03 00:00:00 | ROME        |        13.1 | FRANKFURT     |      24.1 |
| AZ       |     0555 | 2017-04-24 00:00:00 | ROME        |        20.7 | FRANKFURT     |      24.6 |
| AZ       |     0555 | 2017-07-13 00:00:00 | ROME        |        14   | FRANKFURT     |      16.3 |
| AZ       |     0555 | 2017-10-01 00:00:00 | ROME        |        20.9 | FRANKFURT     |      15.3 |
| AZ       |     0555 | 2017-12-20 00:00:00 | ROME        |        23.8 | FRANKFURT     |      24.7 |
| AZ       |     0789 | 2016-11-15 00:00:00 | TOKYO       |        29.7 | ROME          |      20.6 |
| AZ       |     0789 | 2017-02-03 00:00:00 | TOKYO       |        23.4 | ROME          |      13.1 |
| AZ       |     0789 | 2017-04-24 00:00:00 | TOKYO       |        28.5 | ROME          |      20.7 |
| AZ       |     0789 | 2017-07-13 00:00:00 | TOKYO       |        19.4 | ROME          |      14   |
| AZ       |     0789 | 2017-10-01 00:00:00 | TOKYO       |        19.8 | ROME          |      20.9 |
| AZ       |     0789 | 2017-12-20 00:00:00 | TOKYO       |        15.6 | ROME          |      23.8 |
| DL       |     0106 | 2016-11-13 00:00:00 | NEW YORK    |         9.1 | FRANKFURT     |      13.8 |
| DL       |     0106 | 2017-02-01 00:00:00 | NEW YORK    |        24.3 | FRANKFURT     |      23.9 |
| DL       |     0106 | 2017-04-22 00:00:00 | NEW YORK    |        15.8 | FRANKFURT     |      23.5 |
| DL       |     0106 | 2017-07-11 00:00:00 | NEW YORK    |        20.7 | FRANKFURT     |      30.6 |
| DL       |     0106 | 2017-09-29 00:00:00 | NEW YORK    |        16.3 | FRANKFURT     |      19.1 |
| DL       |     0106 | 2017-12-18 00:00:00 | NEW YORK    |        14.4 | FRANKFURT     |      21.8 |
| JL       |     0407 | 2016-11-17 00:00:00 | TOKYO       |        20.3 | FRANKFURT     |      20.4 |

This example can also be found in its Python, R, or NODEJS version in the examples folder.

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➜ Obtaining the ERPL Extension

Introduction

Building extensions for DuckDB can be challenging due to the varying C++ compiler and library ecosystem. This variability often leads to incompatibilities between locally built extensions and the centrally distributed DuckDB binary, primarily due to differences in the Application Binary Interface (ABI).

Recommended Approach

To ensure compatibility and ease of use, we follow a build process similar to that of the DuckDB team. Our advice is to start with the pre-compiled binaries available in our GitHub releases. For those interested in building the extension themselves, our development instructions provide detailed guidance.

Binary Selection

The assets in each release follow this naming convention:

erpl-${DUCKDB_VERSION}-extension-{OS}-{ARCH}.tar.gz

Choose the binary that matches your usage scenario. The table below summarizes the available binaries for various platforms and use cases:

Usage Operating System Architecture
DuckDB CLI Linux amd64_gcc4
Python Linux amd64
R Linux amd64
Julia Linux amd64
Node.js Linux amd64
DuckDB CLI Windows amd64
Python Windows amd64
R Windows amd64
Julia Windows amd64
Node.js Windows amd64
DuckDB CLI OSX amd64
Python OSX amd64
R OSX amd64
Julia OSX amd64
Node.js OSX amd64
DuckDB CLI OSX arm64
Python OSX arm64
R OSX arm64
Julia OSX arm64
Node.js OSX arm64

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πŸ’» Installing the ERPL Binaries

Introduction

Installation of the ERPL extension is straightforward. Please note that this extension is independent of the DuckDB Foundation and DuckDB Labs, meaning the binaries are unsigned. Consequently, DuckDB must be initiated with the -unsigned flag. Detailed instructions on this process can be found in the DuckDB documentation.

Installation Steps

  1. Enable Unsigned Extensions in DuckDB: Set the -unsigned flag as described in the DuckDB documentation.
  2. Install and Load the ERPL Extension:
    INSTALL 'path/to/erpl.duckdb_extension';
    LOAD 'erpl';

Confirmation of Successful Installation

Upon successful installation and loading, the extension will output the following message:

-- Loading ERPL Trampoline Extension. --
(Saves ERPL SAP dependencies to '/home/jr/.duckdb/extensions/v0.9.2/linux_amd64' and loads them)
ERPL extension saved and loaded from /home/jr/.duckdb/extensions/v0.9.2/linux_amd64/erpl_impl.duckdb_extension.
For usage instructions, visit https://erpl.io

Understanding the Extension Loading Process

The ERPL extension is composed of two parts:

  1. Trampoline Extension: Extracts SAP Netweaver RFC SDK and SAP Business Warehouse BICS libraries from the binary.
  2. Implementation Extension: The actual functional part of the extension.

The erpl_init function in the trampoline extension bundles and extracts dependencies into the DuckDB extension folder. Post-installation, the directory ~/.duckdb/extensions/v0.9.2/linux_amd64 should contain the following files:

-rw-r--r-- 1 jr jr 110M 26. Nov 10:23 erpl.duckdb_extension
-rw-r--r-- 1 jr jr  34M 26. Nov 10:35 erpl_impl.duckdb_extension
-rw-r--r-- 1 jr jr  20M 26. Nov 10:35 libicudata.so.50
-rw-r--r-- 1 jr jr  12M 26. Nov 10:35 libicui18n.so.50
-rw-r--r-- 1 jr jr 8,4M 26. Nov 10:35 libicuuc.so.50
-rw-r--r-- 1 jr jr 9,5M 26. Nov 10:35 libsapnwrfc.so
-rw-r--r-- 1 jr jr 1,1M 26. Nov 10:35 libsapucum.so

This revised section aims for a clearer, more structured presentation of the installation process, ensuring users can easily understand and follow the steps.

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Tracking

Overview

Our extension automatically collects basic usage data to enhance its performance and gain insights into user engagement. We employ Posthog for data analysis, transmitting information securely to the European Posthog instance at https://eu.posthog.com via HTTPS.

Data Collected

Each transmitted request includes the following information:

  • Extension Version
  • DuckDB Version
  • Operating System
  • System Architecture
  • MAC Address of the Primary Network Interface

Event Tracking

Data is transmitted under these circumstances:

  • Extension Load: No extra data is sent beyond the initial usage information.
  • Function Invocation: The name of the invoked function is sent. Note: Function inputs/outputs are not transmitted.
  • Error Occurrence: The error message is transmitted.

User Configuration Options

Users can control tracking through these settings:

  1. Enable/Disable Tracking:

    SET erpl_telemetry_enabled = TRUE; -- Enabled by default; set to FALSE to disable tracking
  2. Posthog API Key Configuration (usually unchanged):

    SET erpl_telemetry_key = 'phc_XXX'; -- Pre-set to our key; customizable to your own key

This approach ensures transparency about data collection while offering users control over their privacy settings.

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License

The ERPL extension is licensed under the Business Source License (BSL) Version 1.1. The BSL is a source-available license that gives you the following permissions:

Allowed:

  1. Copy, Modify, and Create Derivative Works: You have the right to copy the software, modify it, and create derivative works based on it.
  2. Redistribute and Non-Production Use: Redistribution and non-production use of the software is permitted.
  3. Limited Production Use: You can make production use of the software, but with limitations. Specifically, the software cannot be offered to third parties on a hosted or embedded basis.
  4. Change License Rights: After the Change Date (five years from the first publication of the Licensed Work), you gain rights under the terms of the Change License (MPL 2.0). This implies broader permissions after this date.

Not Allowed:

  1. Offering to Third Parties on Hosted/Embedded Basis: The Additional Use Grant restricts using the software in a manner that it is offered to third parties on a hosted or embedded basis.
  2. Violation of Current License Requirements: If your use does not comply with the requirements of the BSL, you must either purchase a commercial license or refrain from using the software.
  3. Trademark Usage: You don't have rights to any trademark or logo of Licensor or its affiliates, except as expressly required by the License.

Additional Points:

  • Separate Application for Each Version: The license applies individually to each version of the Licensed Work. The Change Date may vary for each version.
  • Display of License: You must conspicuously display this License on each original or modified copy of the Licensed Work.
  • Third-Party Receipt: If you receive the Licensed Work from a third party, the terms and conditions of this License still apply.
  • Automatic Termination on Violation: Any use of the Licensed Work in violation of this License automatically terminates your rights under this License for all versions of the Licensed Work.
  • Disclaimer of Warranties: The Licensed Work is provided "as is" without any warranties, including but not limited to the warranties of merchantability, fitness for a particular purpose, non-infringement, and title.

This summary is based on the provided license text and should be used as a guideline. For legal advice or clarification on specific points, consulting a legal professional is recommended, especially for commercial or complex use cases.

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With ERPL start using Enterprise Data in your Data Science and ML pipelines within minutes! ERPL connects DuckDB to SAP ecosystem via standard interfaces.

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