【发布时间】:2021-03-03 03:38:55
【问题描述】:
这里是 bigquery 的新手。我一直在关注documentation,了解如何创建一个空架构并对我的 json 数据执行 bq 加载作业,并处理我在 bq 加载作业期间收到的每条错误消息。
有一条错误消息给我带来了一些麻烦,除了它是一个嵌套数组错误这一事实之外,围绕该消息的详细信息并没有太大帮助。
Error while reading data, error message: JSON table
encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection for more details.
Failure details:
- Error while reading data, error message: JSON processing
encountered too many errors, giving up. Rows: 1; errors: 1; max
bad: 0; error percent: 0
- Error while reading data, error message: JSON parsing error in row
starting at position 0: Nested arrays not allowed.
下面是我用来根据这个成功创建的模式创建一个空表的 JSON 文件。至此,我假设这个数据模式是有效的,但是当我尝试使用我的数据加载作业时,我得到了上面的错误。
有人能指出我在正确的地方寻找为什么我可能会收到此错误吗? “标签”子字段中的数组是否违反了“嵌套数组”规则?如果是这样,为什么 bq mk 语句可以使用模式创建一个空表?我看到了 bigquery 的有效数据模式示例,但没有看到那些在我的情况下会有所帮助的不允许的数据模式。
感谢任何指导。谢谢!
[
{
"name":"team_name",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"team_attributes",
"type":"RECORD",
"mode":"NULLABLE",
"fields": [
{
"name":"team_attributes_raw",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"team_country",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"team_type",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"tags",
"type":"STRING",
"mode":"REPEATED"
}
]
},
{
"name":"players",
"type":"RECORD",
"mode":"REPEATED",
"fields": [
{
"name":"player_key",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"player_attributes",
"type":"RECORD",
"mode":"NULLABLE",
"fields": [
{
"name":"player_name",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"product_url",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"measurement",
"type":"RECORD",
"mode":"NULLABLE",
"fields": [
{
"name":"measurement_raw",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"player_weight",
"type":"FLOAT",
"mode":"NULLABLE"
},
{
"name":"player_unit_of_measurement",
"type":"STRING",
"mode":"NULLABLE"
},
{
"name":"tags",
"type":"STRING",
"mode":"REPEATED"
}
]
}
]
}
]
}
]
【问题讨论】:
-
你能提供你的 JSON 文件的第一行吗?
-
其实我只是想通了。我最终得到了一个值,它也是 team_attributes -> tags 字段中的一个列表(它恰好是一个可接受的数组,因为它是明确定义的)。我将在下面更新我的答案并结束这个问题。谢谢!
标签: json google-cloud-platform google-bigquery