我有一个JSON文档,我想将其转换为Avro,并且需要为此目的指定模式。这是我想要定义avro架构的JSON文档:
{
"uid": 29153333,
"somefield": "somevalue",
"options": [
{
"item1_lvl2": "a",
"item2_lvl2": [
{
"item1_lvl3": "x1",
"item2_lvl3": "y1"
},
{
"item1_lvl3": "x2",
"item2_lvl3": "y2"
}
]
}
]
}
我能够为非复杂类型定义模式,但不能为复杂的"选项定义#34;字段:
{
"namespace" : "my.com.ns",
"type" : "record",
"fields" : [
{"name": "uid", "type": "int"},
{"name": "somefield", "type": "string"}
{"name": "options", "type": .....}
]
}
感谢您的帮助!
答案 0 :(得分:15)
您需要使用Avro complex types,特别是arrays和records。然后将它们嵌套在一起:
{
"namespace" : "my.com.ns",
"name": "myrecord",
"type" : "record",
"fields" : [
{"name": "uid", "type": "int"},
{"name": "somefield", "type": "string"},
{"name": "options", "type": {
"type": "array",
"items": {
"type": "record",
"name": "lvl2_record",
"fields": [
{"name": "item1_lvl2", "type": "string"},
{"name": "item2_lvl2", "type": {
"type": "array",
"items": {
"type": "record",
"name": "lvl3_record",
"fields": [
{"name": "item1_lvl3", "type": "string"},
{"name": "item2_lvl3", "type": "string"}
]
}
}}
]
}
}}
]
}
另外,为了提高可读性,您可以split the schema into multiple files。
答案 1 :(得分:4)
这个在线工具(http://avro4s-ui.landoop.com/)非常实用,您可以通过给定的有效json生成AVRO模式。