SAP HANA to Kafka

BladePipe supports data replication from SAP HANA to Kafka. View supported migration, sync, verification, and connector capabilities.

Target DataSource：

Kafka

Connection

Function	Description
Schema Migration	If the specified Topic after mapping does not exist in the Target, BladePipe will automatically create the Topic, allowing setting the number of partitions.
Full Data Migration	Migrate data by sequentially scanning data in tables and writing it in batches to the message middleware.
Incremental Data Sync	Sync of common DML like INSERT, UPDATE, DELETE is supported.
Subscription Modification	Add, delete, or modify the subscribed tables with support for historical data migration. For more information, see Modify Subscription.
Position Resetting	Reset positions by data ID or timestamp. Allow re-consumption of CDC data in a past period.
Table Name Mapping	Support the mapping rules, namely, keeping the name the same as that in Source, converting the text to lowercase, converting the text to uppercase.
Metadata Retrieval	Retrieve the target metadata with filtering conditions or target primary keys set from the source table.

Function	Description
Trigger-based Incremental Data Sync	The DataJob automatically creates triggers on tables. These triggers capture INSERT, UPDATE, and DELETE events and write them to the CDC tables.
Message Format	The following message formats are supported. See Message Format. CloudCanal format AlibabaCanal format
Table-level Topic	Create Topics corresponding to the tables in the Source, and the table partitions can be obtained automatically.
DDL Dedicated Topic	Allow specifying a Topic for DDL. If not specified, DDL time is placed in partition 0 of the Topic created from the corresponding table.
Scheduled Full Data Migration	For more information, see Create Scheduled Full Data DataJob.
Custom Code	For more information, see Custom Code Processing, Debug Custom Code and Logging in Custom Code.
Data Filtering Conditions	Support data filtering using WHERE conditions, with SQL-92 as the SQL language. For more information, see Data Filtering.

Limit	Description
DDL Change Handling	BladePipe captures data changes in a source SAP HANA instance through triggers. DDL synchronization is not supported. If there are DDL changes, follow the steps in Change Schema in a Source SAP HANA Instance.
Hana Data Types in Incremental Sync	In the incremental data sync phase with a source Hana instance, it does not allow capturing changes for TEXT, BIN_TEXT, ST_POINT, and ST_GEOMETRY data types by triggers.
Hana Trigger Recording Data Before Changes	Considering the efficiency of Hana triggers, in the single CDC table mode, only the primary key data before changes is recorded currently.

Prerequisite	Description
Permissions for Account	See Permissions Required for Hana

Parameter	Description
sysTriggerDataSchema	The schema name where the trigger writes incremental data.
sysTriggerDataTable	The table name where the trigger writes incremental data.
incrPagingCount	The total amount of data queried each time by the trigger during incremental data synchronization.
incrIdleSleepSecond	The interval between queries for the trigger during idle period of incremental data synchronization (in seconds).
incrScanIntervalMs	The interval between data queries for the trigger during incremental data synchronization (in milliseconds).
autoCheckTriggerAndReInstall	Check the trigger status and reinstall it when the DataJob starts.
triggerDataCleanEnabled	Enable scheduled cleanup of trigger incremental data.
triggerDataCleanIntervalMin	The cleanup interval for trigger incremental data (in minutes).
triggerDataRetentionMin	The retention time for trigger incremental data (in minutes).
dbHeartbeatEnable	Configure whether to enable heartbeat for the source database.
needTriggerDataJsonEscape	Whether to escape characters (\) in the trigger incremental JSON.
triggerDataJsonQuotation	Custom quotation marks for trigger incremental JSON.
triggerParamBathSize	Set the number of columns involved per variable in the trigger template.
fullBeforeImageEnabled	Enable the trigger to record the complete data before all column changes.

Tips: To modify the general parameters, see General Parameters and Functions.

Prerequisite	Description
Port Preparation	Allow the migration and sync node (Worker) to connect to the Kafka ports.

Parameter	Description
schemaFormat	Message format. For more information, see Message Format.
batchWriteSize	The maximum data size of a single message. If the size exceeds the limit, the message will be split.
defaultTopic	Messages that cannot find a corresponding topic are sent to this topic (such as adding a new table)
ddlTopic	A topic specifically used to receive DDL events. If it is empty, the DDL events will be sent to the 0th partition of the corresponding topic.
compressionType	Kafka compression.type parameter to set compression algorithm. Support GZIP, SNAPPY, LZ4, ZSTD.
batchSize	Kafka batch.size parameter.
acks	Kafka acks parameter. By default, it is all.
maxRequestBytes	Kafka max.request.size parameter.
lingerMs	Kafka linger.ms parameter. By default, it is 1.
envelopSchemaInclude	When schemaFormat is set to DEBEZIUM_ENVELOP_JSON_FOR_MQ, it means whether the message body contains schema information.
customClientProps	Custom properties passed to the Kafka client in JSON format. The key is the parameter name and the value is the parameter value. This setting takes the highest priority. For example: AWS IAM Access Control

Tips: To modify the general parameters, see General Parameters and Functions.