Source SAP HANA

Availability

Cloud with Teams add-on Self-Managed Community Self-Managed Enterprise PyAirbyte

Support Level

Enterprise

Connector Version

0.0.11

Enterprise Connector

This premium connector is available to Enterprise customers at an additional cost. Talk to Sales .

Airbyte's incubating SAP HANA enterprise source connector currently offers Full Refresh and Incrementals syncs for streams. Support for Change Data Capture (CDC) is available using a trigger-based approach.n.

Features

Feature	Supported?(Yes/No)	Notes
Full Refresh Sync	Yes
Incremental Sync - Append	Yes
Change Data Capture (CDC)	Yes

Prequisities

• Dedicated read-only Airbyte user with read-only access to tables needed for replication
• SAP HANA Host Name URL
  • In the SAP HANA Cloud Management Portal, this can be found under the Connections tab for you SAP HANA instance
  • The Host Name is the first portion of the SQL Endpoint before the Port
  • ie:01234abce-1234-56fg.us-01-hanacloud.ondemand.com:123
  • The Host is also a combination of the Instance ID and Landscape
• Port Number
  • Inside of the SAP HANA Cloud Management Portal, this can be found under the Connections tab for you SAP HANA instance
  • The Port is listed explicitly in addition to being part of the SQL Endpoint

Setup Guide

1. Enter your SAP HANA Host Name
2. Enter the Port number
3. Provide the login credentials for the SAP HANA account with access to the tables
4. Specify the schemas for tables that you would like to replicate
5. Select your desired Update Method:
   • User Defined Cursor: For incremental syncs using a cursor column (e.g., updated_at)
   • Change Data Capture (CDC): For real-time change tracking using database triggers

Change Data Capture (CDC)

The SAP HANA source connector supports incremental syncs using Change Data Capture (CDC) through a trigger-based approach. This method captures INSERT, UPDATE, and DELETE operations on your source tables by creating database triggers that log changes to dedicated trigger tables.

How CDC Works

When CDC is enabled, the connector:

1. Reads from pre-configured trigger tables in a dedicated _ab_cdc schema
2. Uses trigger tables to track all data modifications with before/after values
3. Reads incrementally from trigger tables using _ab_trigger_change_time as the cursor

Note: Trigger tables and database triggers must be manually created before enabling CDC.

Trigger Table Structure

For each source table, a corresponding trigger table is created with the naming convention:

• Schema: _ab_cdc
• Table name: _ab_trigger_{source_schema}_{source_table}

Each trigger table contains:

• _ab_trigger_change_id: Unique identifier for each change (auto-incrementing)
• _ab_trigger_change_time: Timestamp when the change occurred (used as cursor)
• _ab_trigger_operation_type: Type of operation (INSERT, UPDATE, DELETE)
• _ab_trigger_{column}_before: Previous value for each source column (for UPDATE/DELETE)
• _ab_trigger_{column}_after: New value for each source column (for INSERT/UPDATE)

CDC Configuration

To use CDC:

1. Select CDC method: In the connector configuration, choose "Read Changes using Change Data Capture (CDC)" as your Update Method
2. Configure CDC settings:
   • Initial Load Timeout: How long the initial load can run before switching to CDC (4-24 hours, default: 8)
   • Invalid CDC Position Behavior: Whether to fail sync or re-sync data if cursor position becomes invalid

CDC Prerequisites

• Manual trigger setup: You must manually create trigger tables and database triggers before enabling CDC
• Database permissions: Your SAP HANA user must have permissions to:
  • Read from trigger tables in the _ab_cdc schema
  • Access source tables for initial discovery
• Trigger table setup: Trigger tables can be created manually or programatically by an administrator of the SAP HANA instance. The setup requires:
  • Create the _ab_cdc schema
  • Create trigger tables with the naming convention _ab_trigger_{source_schema}_{source_table}
  • Set up INSERT, UPDATE, and DELETE triggers on source tables to populate trigger tables
  • Ensure trigger tables contain the required meta fields (_ab_trigger_change_id, _ab_trigger_change_time, _ab_trigger_operation_type)

CDC Limitations

• Manual trigger management: If you need to modify source table schemas, you may need to recreate the corresponding triggers
• Storage overhead: Trigger tables store before/after values for all changes, which requires additional database storage
• Performance impact: Database triggers add some overhead to INSERT/UPDATE/DELETE operations on source tables

Data type mapping

SAP HANA data types are mapped to the following Airbyte data types when synchronizing data.

SAP HANA Type	Airbyte Type	Notes
BOOLEAN	BOOLEAN
DOUBLE	NUMBER
FLOAT	NUMBER
REAL	NUMBER
SMALLDECIMAL	NUMBER
DECIMAL	NUMBER
DEC	NUMBER
INTEGER	INTEGER
TINYINT	INTEGER
SMALLINT	INTEGER
BIGINT	INTEGER
CHAR	STRING
VARCHAR	STRING
ALPHANUM	STRING
NCHAR	STRING
NVARCHAR	STRING
SHORTTEXT	STRING
TIME	TIME_WITHOUT_TIMEZONE
DATE	DATE
SECONDDATE	TIMESTAMP_WITHOUT_TIMEZONE
TIMESTAMP	TIMESTAMP_WITHOUT_TIMEZONE
BINARY	BINARY
VARBINARY	BINARY
REAL_VECTOR	BINARY
BLOB	BINARY
CLOB	STRING
NCLOB	STRING
TEXT	STRING
BINTEXT	STRING
ST_POINT	BINARY
ST_GEOMETRY	BINARY

Reference

Configuration

Input	Type	Description	Default Value
host	string	Hostname of the database.
port	integer	Port of the database.	443
username	string	The username which is used to access the database.
password	string	The password associated with the username.
schemas	array	The list of schemas to sync from. Defaults to user. Case sensitive.
jdbc_url_params	string	Additional properties to pass to the JDBC URL string when connecting to the database formatted as 'key=value' pairs separated by the symbol '&'.
encryption	object	The encryption method with is used when communicating with the database.	{"encryption_method": "unencrypted"}
tunnel_method	object	Whether to initiate an SSH tunnel before connecting to the database, and if so, which kind of authentication to use.	{"tunnel_method": "NO_TUNNEL"}
cursor	object	Configures how data is extracted from the database.	{"cursor_method": "user_defined"}
checkpoint_target_interval_seconds	integer	How often (in seconds) a stream should checkpoint, when possible.	300
concurrency	integer	Maximum number of concurrent queries to the database.	1
check_privileges	boolean	When enabled, the connector will query each table individually to check access privileges during schema discovery.	true

Update Method Configuration

User Defined Cursor:

{
  "cursor_method": "user_defined"
}

Change Data Capture (CDC):

{
  "cursor_method": "cdc",
  "initial_load_timeout_hours": 8,
  "invalid_cdc_cursor_position_behavior": "Fail sync"
}