(SM-2402) GCS & BigQuery Storage Setup
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This page provides general guidelines on how to set up GCP Storage and Big Query to work with Storage Management.
1. Network prerequisites
To enable communication of SAP systems with the Google Cloud Platform, the following hosts/port needs to be reachable from the SAP system:
Port | Address |
|---|---|
443 | *.googleapis.com |
443 | accounts.google.com |
2. GCP prerequisites
The entry point to GCP is https://console.cloud.google.com/. Log in with the company account.
2.1 Project
Select a project or create a new one
An overview of the project resources is always accessible by clicking on:
2.2 Service account
The key component for GCP access from the SAP system will be the Service account with the generated key in JSON format. Download the key file for authentication to GCP later in the configuration.
2.3 Storage bucket
The next step is the creation of a Storage bucket. Markdown the bucket name for later configuration.
2.4 BigQuery dataset
Similarly, the BigQuery dataset needs to be created with appropriate permissions (read/write) for the Service account. The dataset name will be used later.
Java connector uses GC API to run any queries on BigQuery.
2.6 Roles
At a minimum, the following roles are required:
BigQuery Job User on the Project level
BigQuery Data Editor on the dataset level
Storage Object User on the bucket level
3. SAP configuration
3.1 JSON key
Step one on the SAP side is to upload the GCP Service account key file (from step 1.2) to the application server. The standard path for sensitive files used by Java connector is /sapmnt/<SID>/global/security/dvd_conn. All information necessary for authentication is contained within. Access to the file should be limited to authorized personnel (through both operating systems and SAP transactions).
3.2 Java connector
Java connector is a critical middle-ware component. Follow the steps in this guide Java Connector Setup to set it up before you continue.
3.2.1 Java connector GCP libraries
In addition to standard Java connector configuration, GCP libraries must be used as a dependency in Java Connector Setup.
If the library is missing, contact your representative for further instructions on how to load the library bundle into the system.
3.3 Storage Management Setup
The final step in SAP & GCP connectivity is the creation of two storages in transaction /DVD/SM_SETUP. One for the transfer of flat files, and the other one for table management, and SQL queries.
Google Cloud Storage (GCS) - as seen in the screenshot, the required fields are:
Storage ID | Logical name of the storage connection |
Storage type | GCS (stands for Google Cloud Storage) |
Bucket name | Name of the storage bucket from step 1.3 |
Path Prefix | Path to landing area within GCS bucket |
Configuration path | Physical path to JSON key file from step 2.1 |
Java connector RFC | TCP/IP RFC destination used for communication with Java connector (configured in step 2.2) |
JDBC Call Repeat | Number of times failed calls should be retried |
JDBC Repeat delay | The delay between retried calls |
Compute hash | Calculate the hash of data before and after the transfer |
Google BigQuery storage (BIGQUERY) - required fields
Storage ID | Logical name of the storage connection |
Storage type | BIGQUERY |
Dataset | Name of the BigQuery dataset from step 1.4 |
Reference Storage | Google Cloud storage used for the flat-file transfer |
Java connector RFC | TCP/IP RFC destination used for communication with Java connector |
JDBC Call Repeat | Number of times failed calls should be retried |
JDBC Repeat delay | The delay between retried calls |
Use extended escaping | Checked if extended escaping should be used (replaces escape characters, such as newline, backspace, tabulator, etc., with the space character) |
Force file cursor reader | Option to force usage of files for data transfer when reading data stored in BigQuery |
If all configuration steps are completed and there is no problem with permissions, an automatic storage check shows a green tick.