Kafka Connectors for SAP

Kafka Connect SAP is a generic set of connectors, using the Apache Kafka Connect framework for reliably connecting Kafka with SAP systems

Install
QuickStart
Configuration
Examples

Install

To install the connector from source,

Clone this repository to your local desktop, and then bring up a command prompt in the directory.

and use the following command.

mvn clean install -DskipTests

Include the Jdbc Jar

For SAP Hana

Follow the steps in http://help.sap.com/saphelp_hanaplatform/helpdata/en/ff/15928cf5594d78b841fbbe649f04b4/frameset.htm guide to access the SAP HANA Jdbc jar.
Place it in the same directory as the Kafka Connector jar or under the CLASSPATH directory.

QuickStart

For getting started with this connector, the following steps need to be completed.

Create the config file for sink named kafka-connect-sink.properties.

name=test-sink
connector.class=com.sap.kafka.connect.sink.hana.HANASinkConnector
tasks.max=1
topics=test_topic
connection.url=jdbc:sap://<url>/
connection.user=<username>
connection.password=<password>
auto.create=true
schema.registry.url=<schema registry url>
test_topic.table.name="SYSTEM"."DUMMY_TABLE"

Start the kafka-connect sink connector using the following command.

./bin/connect-standalone ./etc/schema-registry/connect-avro-standalone.properties ./etc/kafka/kafka-connect-sink.properties

Create the config file for source named kafka-connect-source.properties.

name=kafka-connect-source
connector.class=com.sap.kafka.connect.source.hana.HANASourceConnector
tasks.max=1
topics=kafka_source_1,kafka_source_2
connection.url=jdbc:sap://<url>/
connection.user=<username>
connection.password=<password>
kafka_source_1.table.name="SYSTEM"."com.sap.test::hello"

- Start the kafka-connect source connector using the following command.

./bin/connect-standalone ./etc/schema-registry/connect-avro-standalone.properties ./etc/kafka/kafka-connect-source.properties

Distributed Mode

In a production environment, it is suggested to run the Kafka Connector on distributed mode

Configuration

The kafka connector for SAP Systems provides a wide set of configuration options both for source & sink.

The full list of configuration options for kafka connector for SAP Systems is as follows:

Sink
- topics - This setting can be used to specify a comma-separated list of topics. Must not have spaces.
- auto.create - This setting allows creation of a new table in SAP DBs if the table specified in {topic}.table.name does not exist. Should be a Boolean. Default is false.
- batch.size - This setting can be used to specify the number of records that can be pushed into SAP DB table in a single flush. Should be an Integer. Default is 3000.
- max.retries - This setting can be used to specify the maximum no. of retries that can be made to re-establish the connection to SAP DB in case the connection is lost. Should be an Integer. Default is 10.
- {topic}.table.name - This setting allows specifying the SAP DBs table name where the data needs to be written to. Should be a String. Must be compatible to SAP DB Table name like "SCHEMA"."TABLE".
- {topic}.table.type - This is a DB specific configuration setting which allows creation of Row & Column tables if auto.create is set to true. Default value is column. And supported values are column, row.
- {topic}.pk.mode - This setting can be used to specify the primary key mode required when auto.create is set to true & the table name specified in {topic}.table.name does not exist in SAP DB. Default is none. And supported values are record_key, record_value.
- {topic}.pk.fields - This setting can be used to specify a comma-separated list of primary key fields when {topic}.pk.mode is set to record_key or record_value. Must not have spaces.
- {topic}.table.partition.mode - This is a SapDB Sink specific configuration setting which determines the table partitioning in SAP DB. Default value is none. And supported values are none, hash, round_robin.
- {topic}.table.partition.count - This is a SapDB Sink specific configuration setting which determines the number of partitions the table should have. Required when auto.create is set to true and table specified in {topic}.table.name does not exist in SAP DBs. Should be an Integer. Default value is 0.

Source
- topics - This setting can be used to specify a comma-separated list of topics. Must not have spaces.
- mode - This setting can be used to specify the mode in which data should be fetched from SAP DB table. Default is bulk. And supported values are bulk, incrementing.
- queryMode - This setting can be used to specify the query mode in which data should be fetched from SAP DB table. Default is table. And supported values are table, query ( to support sql queries ). When using queryMode: query it is also required to have query parameter defined. This query parameter needs to be prepended by TopicName. If the incrementing.column.name property is used together, then it can be omitted from where clause in query sql.
- {topic}.table.name - This setting allows specifying the SAP DB table name where the data needs to be written to. Should be a String. Must be compatible to SAP DB Table name like "SCHEMA"."TABLE".
- {topic}.poll.interval.ms - This setting allows specifying the poll interval at which the data should be fetched from SAP DB table. Should be an Integer. Default value is 60000.
- {topic}.incrementing.column.name - In order to fetch data from a SAP DB table when mode is set to incrementing, an incremental ( or auto-incremental ) column needs to be provided. The type of the column can be Int, Float, Decimal, Timestamp. This considers SAP DB Timeseries tables also. Should be a valid clumn name ( respresented as a String) present in the table.
- {topic}.partition.count - This setting can be used to specify the no. of topic partitions that the Source connector can use to publish the data. Should be an Integer. Default value is 1.

Default Configurations

Examples

The unit tests provide examples on every possible mode in which the connector can be configured.

How to obtain support

Raise Github issues to obtain support from project committers.

Contributing

Contributions are accepted by sending Pull Requests to this repo.

Todos

Currently only SAP Hana is supported. Support for SAP HANA VORA(In Memory and Disk Engine) to be added.

whome00/kafka-connect-sap