我想用gson解析facebook的回复 . 因为？我有一些性能问题转换响应与jsonObject和li，其中gson更快 .
What's the problem?
这是我得到的答案：
{ "879252732136620_1951199524941930": {
"message": "Um casalzão desses, bicho.",
"full_picture": "external.xx.fbcdn.net/safe_image.php?d=AQCQ0oMPtxfdnPpY&url=https%3A%2F%2Fwww.fatosdesconhecidos.com.br%2Fwp-content%2Fuploads%2F2018%2F08%2FWinter-Soldier-and-Black-Widow-Sebastian-Stan-and-Scarlett-Johansson.jpg&_nc_hash=AQDO-9Cuik1pBMpu",
"created_time": "2018-08-13T00:15:00+0000",
"link": "bit.ly/2KDWEOo",
"permalink_url": "www.facebook.com/879252732136620/posts/1951199524941930/",
"type": "link",
"from": {
"name": "Fatos Nerd",
"id": "879252732136620"
},
"caption": "fatosdesconhecidos.com.br",
"name": "7 coisas que você não sabia sobre o relacionamento de Viúva Negra e Soldado Invernal",
"likes": {
"data": [
],
"summary": {
"total_count": 215,
"can_like": true,
"has_liked": false
}
},
"id": "879252732136620_1951199524941930" }, "124493634232128_2715192725162193": {
"message": "Parecer foi entregue ao TRF-4 goo.gl/VtL67a",
"full_picture": "scontent.xx.fbcdn.net/v/t39.2147-6/39117585_488969801570258_8939554907103428608_n.jpg?_nc_cat=1&oh=ab5d0d83da767acf3231053a87681d2b&oe=5C020E53",
"created_time": "2018-08-14T17:13:27+0000",
"link": "goo.gl/VtL67a",
"permalink_url": "www.facebook.com/124493634232128/posts/2715192725162193/",
"type": "link",
"from": {
"name": "UOL Notícias",
"id": "124493634232128"
},
"caption": "noticias.uol.com.br",
"name": "Lula \"simplesmente não é, e nem pode ser, candidato\", diz MPF",
"likes": {
"data": [
],
"summary": {
"total_count": 3732,
"can_like": true,
"has_liked": false
}
},
"id": "124493634232128_2715192725162193" } }
这里的问题是该字段以“879252732136620_1951199524941930”开头，该值（即facebook帖子的ID）因请求而异 . 所以我不能简单地创建一个包含值“879252732136620_1951199524941930”的gson对象，因为此值将从请求更改为请求 .
If you want, use this for this respond option in graph explorer:
？ IDS = 879252732136620_1951199524941930,124493634232128_2715192725162193,124493634232128_2715192725162193＆字段=消息，源，full_picture，CREATED_TIME，链接，permalink_url，类型，的object_id，从， Headers ，名称，故事，likes.summary（真）点域（名称）.limit（0）