我通过REST请求调用Pub / Sub。我试图将列化数据放在Pub / Sub上的主题上,然后进入DataFlow,最后进入Big Query,其中定义了一个Table。
这是所述JSON数据的布局:
[
{
"age": "58",
"job": "management",
"marital": "married",
"education": "tertiary",
"default": "no",
"balance": "2143",
"housing": "yes",
"loan": "no",
"contact": "unknown",
"day": "5",
"month": "may",
"duration": "261",
"campaign": "1",
"pdays": "-1",
"previous": "0",
"poutcome": "unknown",
"y": "no"
}
]
现在,为了形成正确的JSON主体,需要进入以下Pub / Sub识别请求:
{
"messages": [{
"attributes": {
"key": "iana.org/language_tag",
"value": "en"
},
"data": "%DATA%"
}]
}
现在,Pub / Sub REST引用声明了" Data"字段需要转换为Base64,这就是我所做的,最终的JSON格式如下(%DATA%被替换为原始消息数据的Base64转换)
{
"messages": [{
"attributes": {
"key": "iana.org/language_tag",
"value": "en"
},
"data": "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"
}]
}
Pub / Sub允许这些数据,然后将其放入DataFlow,但这是一切都中断的地方。 DataFlow尝试反序列化信息,但失败时显示以下消息:
(efdf538fc01f50b0): java.lang.RuntimeException: Unable to parse input
com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:58)
com.google.cloud.teleport.templates.common.BigQueryConverters$JsonToTableRow$1.apply(BigQueryConverters.java:47)
org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:122)
Caused by: com.fasterxml.jackson.databind.JsonMappingException: Can not deserialize instance of com.google.api.services.bigquery.model.TableRow out of START_ARRAY token
at [Source: [{"age":"32","job":"\"admin.\"","marital":"\"single\"","education":"\"secondary\"","default":"\"no\"","balance":"5","housing":"\"yes\"","loan":"\"no\"","contact":"\"unknown\"","day":"12","month":"\"may\"","duration":"593","campaign":"2","pdays":"-1","previous":"0","poutcome":"\"unknown\"","y":"\"no\""}]; line: 1, column: 1]
我认为这与"data":
字段的格式化方式有关,但我尝试了其他方法,但我无法正常工作。
答案 0 :(得分:5)
经过进一步的实验,问题确实是如何格式化JSON。删除开头df['Ship Mode'].value_counts(normalize=True)
Out[3]:
Standard Class 0.597158
Second Class 0.194617
First Class 0.153892
Same Day 0.054333
Name: Ship Mode, dtype: float64
并关闭[
DataFlow确实能够识别数据,然后将其放入BigQuery中。