change document (#11545)

Co-authored-by: yuanyi <yuanyi@freewheel.tv>

docs/development/extensions-core/protobuf.md

@@ -56,7 +56,7 @@ Here is a JSON example of the 'metrics' data schema used in the example.
 
 ### Proto file
 
-The corresponding proto file for our 'metrics' dataset looks like this. You can use Protobuf parser with a proto file or [Confluent Schema Registry](https://docs.confluent.io/platform/current/schema-registry/index.html).
+The corresponding proto file for our 'metrics' dataset looks like this. You can use Protobuf `inputFormat` with a proto file or [Confluent Schema Registry](https://docs.confluent.io/platform/current/schema-registry/index.html).
 ```
 syntax = "proto3";
 message Metrics {
@@ -112,22 +112,14 @@ Important supervisor properties
 - `protoBytesDecoder.descriptor` for the descriptor file URL
 - `protoBytesDecoder.protoMessageType` from the proto definition
 - `protoBytesDecoder.type` set to `file`, indicate use descriptor file to decode Protobuf file
-- `parser` should have `type` set to `protobuf`, but note that the `format` of the `parseSpec` must be `json`
+- `inputFormat` should have `type` set to `protobuf`
 
 ```json
 {
-  "type": "kafka",
+"type": "kafka",
+"spec": {
     "dataSchema": {
         "dataSource": "metrics-protobuf",
-    "parser": {
-      "type": "protobuf",
-      "protoBytesDecoder": {
-        "type": "file",
-        "descriptor": "file:///tmp/metrics.desc",
-        "protoMessageType": "Metrics"
-      },
-      "parseSpec": {
-        "format": "json",
         "timestampSpec": {
             "column": "timestamp",
             "format": "auto"
@@ -145,8 +137,6 @@ Important supervisor properties
                 "timestamp",
                 "value"
             ]
-        }
-      }
         },
         "metricsSpec": [
             {
@@ -184,11 +174,25 @@ Important supervisor properties
         "consumerProperties": {
             "bootstrap.servers": "localhost:9092"
         },
+        "inputFormat": {
+            "type": "protobuf",
+            "protoBytesDecoder": {
+                "type": "file",
+                "descriptor": "file:///tmp/metrics.desc",
+                "protoMessageType": "Metrics"
+            },
+            "flattenSpec": {
+                "useFieldDiscovery": true
+            },
+            "binaryAsString": false
+        },
         "taskCount": 1,
         "replicas": 1,
-    "taskDuration": "PT1H"
+        "taskDuration": "PT1H",
+        "type": "kafka"
     }
 }
+}
 ```
 
 To adopt to old version. You can use old parser style, which also works.
@@ -253,7 +257,7 @@ If necessary, from your Kafka installation directory run the following command t
 This example script requires `protobuf` and `kafka-python` modules. With the topic in place, messages can be inserted running the following command from your Druid installation directory
 
 ```
-./bin/generate-example-metrics | ./quickstart/protobuf/pb_publisher.py
+./bin/generate-example-metrics | python /quickstart/protobuf/pb_publisher.py
 ```
 
 You can confirm that data has been inserted to your Kafka topic using the following command from your Kafka installation directory