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Author: kbatuigas

modules/manage/partials/iceberg/query-iceberg-topics.adoc

@@ -77,7 +77,7 @@ endif::[]
 
 === Topic with schema (`value_schema_id_prefix` mode)
 
-NOTE: The steps in this section also apply to the `value_schema_latest` mode, except for step 2. The `value_schema_latest` mode is not compatible with the Schema Registry wire format, so you'll use your own producer code instead of xref:reference:rpk/rpk-topic/rpk-topic-produce[`rpk topic produce`].
+NOTE: The steps in this section also apply to the `value_schema_latest` mode, except for step 2. The `value_schema_latest` mode is not compatible with the Schema Registry wire format. The xref:reference:rpk/rpk-topic/rpk-topic-produce[`rpk topic produce`] command embeds the wire format header, so you must use your own producer code with `value_schema_latest`.
 
 Assume that you have created the `ClickEvent` topic, set `redpanda.iceberg.mode` to `value_schema_id_prefix`, and are connecting to a REST-based Iceberg catalog. The following is an Avro schema for `ClickEvent`:
 
@@ -139,7 +139,7 @@ In this example, assume that you have created the `ClickEvent_key_value` topic,
 +
 [,bash]
 ----
-echo 'key1 {"user_id":2324,"event_type":"BUTTON_CLICK","ts":"2024-11-25T20:23:59.380Z"}' | rpk topic produce ClickEvent_key_value --format='%k %v\n'
+echo '"key1" {"user_id":2324,"event_type":"BUTTON_CLICK","ts":"2024-11-25T20:23:59.380Z"}' | rpk topic produce ClickEvent_key_value --format='%k %v\n'
 ----
 
 . The following Spark SQL query returns the semi-structured data in the `ClickEvent_key_value` table. The table consists of two columns: one named `redpanda`, containing the record key and other metadata, and another binary column named `value` for the record's value: