在尝试使用to_gbq更新Google BigQuery表时,我得到的响应是:
GenericGBQException: Reason: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.
我的代码:
^{pr2}$我的mini_df数据框看起来像:
date request_number name feature_name value_name value
2018-01-10 1 1 "a" "b" 0.309457
2018-01-10 1 1 "c" "d" 0.273748
当我运行to_gbq时,并且BigQuery上没有表,我可以看到该表是用下一个模式创建的:
日期字符串可为空
请求编号字符串可为空
名称字符串可为空
feature_name STRING可为空
value_name STRING可为空
值浮点可为空
我做错什么了?我怎么解决这个问题?在
另外,其他例外情况:
BadRequest Traceback (most recent call last)
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize)
589 destination_table,
--> 590 job_config=job_config).result()
591 except self.http_error as ex:
~/anaconda3/envs/env/lib/python3.6/site-packages/google/cloud/bigquery/job.py in result(self, timeout)
527 # TODO: modify PollingFuture so it can pass a retry argument to done().
--> 528 return super(_AsyncJob, self).result(timeout=timeout)
529
~/anaconda3/envs/env/lib/python3.6/site-packages/google/api_core/future/polling.py in result(self, timeout)
110 # Pylint doesn't recognize that this is valid in this case.
--> 111 raise self._exception
112
BadRequest: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.
During handling of the above exception, another exception occurred:
GenericGBQException Traceback (most recent call last)
<ipython-input-28-195df93249b6> in <module>()
----> 1 gbq.to_gbq(mini_df,'Name-of-Table','Project-id',chunksize=10000,reauth=False,if_exists='append',private_key=None)
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas/io/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key)
106 chunksize=chunksize,
107 verbose=verbose, reauth=reauth,
--> 108 if_exists=if_exists, private_key=private_key)
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key, auth_local_webserver)
987 table.create(table_id, table_schema)
988
--> 989 connector.load_data(dataframe, dataset_id, table_id, chunksize)
990
991
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize)
590 job_config=job_config).result()
591 except self.http_error as ex:
--> 592 self.process_http_error(ex)
593
594 rows = []
~/anaconda3/envs/env/lib/python3.6/site-packages/pandas_gbq/gbq.py in process_http_error(ex)
454 # <https://cloud.google.com/bigquery/troubleshooting-errors>`__
455
--> 456 raise GenericGBQException("Reason: {0}".format(ex))
457
458 def run_query(self, query, **kwargs):
GenericGBQException: Reason: 400 Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 1; errors: 1.
我也有同样的问题。在
在我的例子中,它依赖于数据帧的数据类型
object
。在我有三列
externalId
,mappingId
,info
。对于这些字段,我设置了一个数据类型,让熊猫来做,这很神奇。在它决定将所有三个列数据类型都设置为
object
。问题是,to_gbq
组件在内部使用to_json
组件。由于某种原因,如果字段的类型是object
,但只包含数值,则此输出会省略数据字段周围的引号。在所以Google Big Query需要这个
但得到了这个:
^{pr2}$而且由于在googlebigquery中字段的映射是
STRING
,导入过程失败。在有两个解决方案。在
解决方案1-更改列的数据类型
简单的类型转换有助于解决此问题。我还必须将bigquery中的数据类型更改为
INTEGER
。在如果是这样,大查询可以像JSON标准所说的那样使用没有引号的字段。在
解决方案2-确保字符串字段是字符串
同样,这是在设置数据类型。但是,由于我们显式地将其设置为
String
,带有to_json
的导出将输出一个带引号的字段,一切正常。在相关问题 更多 >
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