Table of Contents

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  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

Advanced Properties

Advanced Properties

The advanced properties display the details about operation type, processing, and time from which the Confluent Kafka source starts reading Confluent Kafka messages from a Confluent Kafka topic.
The following table describes the advanced properties that you can configure for Confluent Kafka sources:
Property
Description
Operation Type
Specifies the type of data object operation.
This is a read-only property.
Guaranteed Processing
Ensures that the mapping processes the source messages and delivers them to the targets at least once. In the event of a failure, the source messages are duplicated but the messages are processed successfully. If the external source or the target is not available, the mapping execution stops to avoid any data loss.
By default, the Guaranteed Processing property is selected.
Start Position Offset
Time that the Confluent Kafka source starts reading messages from a Confluent Kafka topic when you run a mapping.
You can select one of the following options:
  • Custom. Read messages from a specific time.
  • Earliest. Read the earliest messages available on the Confluent Kafka topic.
  • Latest. Read messages received by the Confluent Kafka topic after the mapping has been deployed.
Custom Start Position Timestamp
Time in GMT that the Confluent Kafka source starts reading Confluent Kafka messages from a Confluent Kafka topic.
Specify a time in the following format:
dd-MM-yyyy HH:mm:ss.SSS
The milliseconds are optional.
Consumer Configuration Properties
Configuration properties for the consumer. If the Confluent Kafka data object is reading data from a Confluent Kafka cluster that is configured for Kerberos authentication, include the following property:
security.protocol=SASL_PLAINTEXT,sasl.kerberos.service.name=kafka,sasl.mechanism=GSSAPI
Dynamic Schema Strategy
The dynamic schema strategy that identifies the schema at run-time for ingesting streaming data into files or tables in a mapping.
Only Avro schema is supported. You must disable the column projection.
You can select one of the following strategies:
  • None
  • Schema Registry: If you select this, then you can use only Filter, Router, Expression, Java, and Python transformations. Also, the data from KafkaAvroSerializer is supported.
  • External Location: If you select this, then you can use only Filter, Router, Expression, Java, and Python transformations. Also, the data from ByteArraySerializer is supported.
Restart the mapping if you want to refresh the schema. Refresh schema is only supported if
Dynamic Schema Strategy
is not selected.
Schema Location
The schema location to fetch the schema in a streaming mapping.
If you select
External Location
for the dynamic schema strategy, you must create a
reader.avsc
file having the schema content at the schema location and keep it under the topic name. For example:
<Schema Location>/<Topic Name>/reader.avsc
. Then, specify only the path till the schema location.
Schema location must be named as per the topic name.