这是架构：
{
"type" : "record",
"name" : "avro_schema",
"namespace" : "avro",
"doc" : "The generic avro schema used by publishers to publish events
"fields" : [
{"name" : "event",
"type" : {
"type" : "record",
"name" : "event_meta_data",
"fields" : [
{"name" : "event_name",
"type" : "string",
"doc" : "The name of the event. In the CDC, this field is populated with the name of the data base table or segment."},
{"name" : "operation_type",
"type" : "string",
"doc": "The operation or action that triggered the event. e.g., Insert, Update, Delete, etc."},
{"name" : "transaction_identifier",
"type" : ["string", "null"],
"default" : "NONE",
"doc" : "A unique identifier that identifies a unit or work or transaction. Useful in relating multiple events together."},
{"name" : "event_publication_timestamp_millis",
"type" : "string",
"doc": "timestamp when the event was published"},
{"name" : "event_publisher",
"type" : "string",
"doc" : "The system or application that published the event"},
{"name" : "event_publisher_identity",
"type": ["string", "null"],
"default" : "NONE",
"doc": "The identity (user) of the system or application that published the event"},
{"name" : "event_timestamp_millis",
"type" : ["string", "null"],
"default" : "NONE",
"doc": "timestamp when the event occured"},
{"name": "event_initiator",
"type": ["string", "null"],
"default" : "NONE",
"doc" : "The system or application that initiated the event"},
{"name": "event_initiator_identity",
"type" : ["string", "null"],
"default" : "NONE",
"doc": "The system id or application id that initiated the event" }
]},
"doc" : "The data about the published event"
},
{ "name" : "contents",
"type" : {
"name": "data_field_groups",
"type": "array",
"items": {
"type": "record",
"name": "data_field_group",
"fields" : [
{"name": "data_group_name",
"type": "string"
},
{
"name": "data_fields",
"type": {
"type": "array",
"items": {
"name": "data_field",
"type": "record",
"fields":[
{"name" : "data_field_name",
"type" : "string",
"doc" : "The field name"},
{"name": "data_field_type",
"type": "string",
"doc" : "The data type is one of the following values: string, boolean, int, long, float, double or bytes"},
{"name" : "data_field_value",
"type" : ["string", "boolean", "int", "long", "float", "double","bytes", "null"],
"doc" : "The value"}
]
}
}
}
]
}
},
"doc" : "The datafields for the for the published event"
}
]
}
Schema schema = new Schema.Parser().parse(new File("resources/v2.avsc"));
GenericRecord AvroRec = new GenericData.Record(schema);
GenericRecord event = new GenericData.Record(schema.getField("event").schema());
//GenericRecord contents = new GenericData.Record(schema.getTypes().));
Schema contents = schema.getField("contents").schema();
GenericArray <GenericRecord> people = new GenericData.Array<GenericRecord>(3, contents);
Schema contentSchema = contents.getElementType();
使用cricket_007帮助，我能够前进一点，在最后一行之后，我是否必须创建另一个数组记录，因为它内部有另一个数组。 或者，应该能够设置记录，这个陈述给了我很少的记录格式的内部视图，但无法弥补。
System.out.println(contents.getElementType().getFields());