Anonymitaet commented on a change in pull request #11801:
URL: https://github.com/apache/pulsar/pull/11801#discussion_r697064611
##########
File path: site2/docs/schema-understand.md
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@@ -474,6 +474,24 @@ Message<GenericRecord> msg = consumer.receive() ;
GenericRecord record = msg.getValue();
```
+### Native Avro Schema
+
+When migrating or ingesting event/message data from external systems such as
Kafka and Cassandra, the events are often already serialized in Avro format.
The schemas have been validated and stored by those systems or a dedicated
service such as a schema registry. In such cases, a Pulsar producer doesn't
need to repeat the schema validation step when sending the ingested events to a
topic.
+Hence, we provide `Schema.NATIVE_AVRO` to turn an `org.apache.avro.Schema`
object into a schema instance of Pulsar that accepts a serialized Avro payload
without validating it against the schema specified.
Review comment:
This sentence is too long, which affects the readability and makes it
hard to understand. Can you revise it?
##########
File path: site2/docs/schema-understand.md
##########
@@ -474,6 +474,24 @@ Message<GenericRecord> msg = consumer.receive() ;
GenericRecord record = msg.getValue();
```
+### Native Avro Schema
+
+When migrating or ingesting event/message data from external systems such as
Kafka and Cassandra, the events are often already serialized in Avro format.
The schemas have been validated and stored by those systems or a dedicated
service such as a schema registry. In such cases, a Pulsar producer doesn't
need to repeat the schema validation step when sending the ingested events to a
topic.
Review comment:
```suggestion
When migrating or ingesting event or message data from external systems
(such as Kafka and Cassandra), the events are often already serialized in Avro
format. The schemas have been validated and stored by external systems or a
dedicated service (such as a schema registry). In such cases, a Pulsar producer
doesn't need to repeat the schema validation step when sending the ingested
events to a topic.
```
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