[Feature] add avro format document

docs/en/connector-v2/formats/avro.md

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+# 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"
+}
+
+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"
+}
+
+source {
+  Kafka {
+    bootstrap.servers = "kafkaCluster:9092"
+    topic = "test_avro_topic"
+    result_table_name = "kafka_table"
+    kafka.auto.offset.reset = "earliest"
+    format = avro
+    format_error_handle_way = skip
+    schema = {
+      fields {
+        id = bigint
+        c_map = "map<string, smallint>"
+        c_array = "array<tinyint>"
+        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_decimal = "decimal(2, 1)"
+        c_bytes = bytes
+        c_date = date
+        c_timestamp = timestamp
+      }
+    }
+  }
+}
+
+sink {
+  Console {
+    source_table_name = "kafka_table"
+  }
+}
+```
+