Hisoka-X commented on code in PR #6082:
URL: https://github.com/apache/seatunnel/pull/6082#discussion_r1442547319
##########
docs/en/connector-v2/formats/avro.md:
##########
@@ -0,0 +1,125 @@
+# Avro format
+
+Avro is very popular in streaming data pipeline. Now seatunnel supports Avro
format in kafka connector.
+
+# How to use Avro format
+
+## Kafka uses example
+
+- This is an example to generate data from fake source and sink to kafka with
avro format.
+
+```bash
+env {
+ parallelism = 1
+ job.mode = "BATCH"
+
+ #spark config
+ spark.app.name = "SeaTunnel"
+ spark.executor.instances = 1
+ spark.executor.cores = 1
+ spark.executor.memory = "1g"
+ spark.master = local
+}
+
+source {
+ FakeSource {
+ row.num = 90
+ schema = {
+ fields {
+ c_map = "map<string, string>"
+ c_array = "array<int>"
+ c_string = string
+ c_boolean = boolean
+ c_tinyint = tinyint
+ c_smallint = smallint
+ c_int = int
+ c_bigint = bigint
+ c_float = float
+ c_double = double
+ c_bytes = bytes
+ c_date = date
+ c_decimal = "decimal(38, 18)"
+ c_timestamp = timestamp
+ c_row = {
+ c_map = "map<string, string>"
+ c_array = "array<int>"
+ c_string = string
+ c_boolean = boolean
+ c_tinyint = tinyint
+ c_smallint = smallint
+ c_int = int
+ c_bigint = bigint
+ c_float = float
+ c_double = double
+ c_bytes = bytes
+ c_date = date
+ c_decimal = "decimal(38, 18)"
+ c_timestamp = timestamp
+ }
+ }
+ }
+ result_table_name = "fake"
+ }
+}
+
+sink {
+ Kafka {
+ bootstrap.servers = "kafkaCluster:9092"
+ topic = "test_avro_topic_fake_source"
+ format = avro
+ }
+}
+```
+
+- This is an example read data from kafka with avro format and print to
console.
+
+```bash
+env {
+ parallelism = 1
+ job.mode = "BATCH"
+
+ # You can set spark configuration here
+ spark.app.name = "SeaTunnel"
+ spark.executor.instances = 1
+ spark.executor.cores = 1
+ spark.executor.memory = "1g"
+ spark.master = local
Review Comment:
```suggestion
```
##########
docs/en/connector-v2/formats/avro.md:
##########
@@ -0,0 +1,125 @@
+# Avro format
+
+Avro is very popular in streaming data pipeline. Now seatunnel supports Avro
format in kafka connector.
+
+# How to use Avro format
+
+## Kafka uses example
+
+- This is an example to generate data from fake source and sink to kafka with
avro format.
+
+```bash
+env {
+ parallelism = 1
+ job.mode = "BATCH"
+
+ #spark config
+ spark.app.name = "SeaTunnel"
+ spark.executor.instances = 1
+ spark.executor.cores = 1
+ spark.executor.memory = "1g"
+ spark.master = local
Review Comment:
```suggestion
```
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