我正在尝试从 MySQL 服务器查询数据并使用 pandas .to_gbq api 将其写入 Google BigQuery。
def production_to_gbq(table_name_prod,prefix,table_name_gbq,dataset,project):
# Extract data from Production
q = """
SELECT *
FROM
{}
""".format(table_name_prod)
df = pd.read_sql(q, con)
# Write to gbq
df.to_gbq(dataset + table_name_gbq, project, chunksize=1000, verbose=True, reauth=False, if_exists='replace', private_key=None)
return df
我不断收到指示无效输入的 400 错误。
Load is 100.0% Complete
---------------------------------------------------------------------------
BadRequest Traceback (most recent call last)
/usr/local/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize, schema)
569 self.client, dataframe, dataset_id, table_id,
--> 570 chunksize=chunksize):
571 self._print("\rLoad is {0}% Complete".format(
/usr/local/lib/python3.6/site-packages/pandas_gbq/_load.py in load_chunks(client, dataframe, dataset_id, table_id, chunksize, schema)
73 destination_table,
---> 74 job_config=job_config).result()
/usr/local/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
/usr/local/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: CSV table encountered too many errors, giving up. Rows: 10; errors: 1. Please look into the error stream for more details.
During handling of the above exception, another exception occurred:
GenericGBQException Traceback (most recent call last)
<ipython-input-73-ef9c7cec0104> in <module>()
----> 1 departments.to_gbq(dataset + table_name_gbq, project, chunksize=1000, verbose=True, reauth=False, if_exists='replace', private_key=None)
2
/usr/local/lib/python3.6/site-packages/pandas/core/frame.py in to_gbq(self, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key)
1058 return gbq.to_gbq(self, destination_table, project_id=project_id,
1059 chunksize=chunksize, verbose=verbose, reauth=reauth,
-> 1060 if_exists=if_exists, private_key=private_key)
1061
1062 @classmethod
/usr/local/lib/python3.6/site-packages/pandas/io/gbq.py in to_gbq(dataframe, destination_table, project_id, chunksize, verbose, reauth, if_exists, private_key)
107 chunksize=chunksize,
108 verbose=verbose, reauth=reauth,
--> 109 if_exists=if_exists, private_key=private_key)
/usr/local/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, table_schema)
980 connector.load_data(
981 dataframe, dataset_id, table_id, chunksize=chunksize,
--> 982 schema=table_schema)
983
984
/usr/local/lib/python3.6/site-packages/pandas_gbq/gbq.py in load_data(self, dataframe, dataset_id, table_id, chunksize, schema)
572 ((total_rows - remaining_rows) * 100) / total_rows))
573 except self.http_error as ex:
--> 574 self.process_http_error(ex)
575
576 self._print("\n")
/usr/local/lib/python3.6/site-packages/pandas_gbq/gbq.py in process_http_error(ex)
453 # <https://cloud.google.com/bigquery/troubleshooting-errors>`__
454
--> 455 raise GenericGBQException("Reason: {0}".format(ex))
456
457 def run_query(self, query, **kwargs):
GenericGBQException: Reason: 400 Error while reading data, error message: CSV table encountered too many errors, giving up. Rows: 10; errors: 1. Please look into the error stream for more details.
我调查了表架构，
id INTEGER NULLABLE
name STRING NULLABLE
description STRING NULLABLE
created_at INTEGER NULLABLE
modified_at FLOAT NULLABLE
它与数据框相同:
id int64
name object
description object
created_at int64
modified_at float64
表是在 GBQ 中创建的，但仍然是空的。
我阅读了一些内容，但在 pandas.to_gbq api 上没有找到太多内容，除了这个似乎相关但没有回复:
bigquery table is empty when using pandas to_gbq
我找到了一个潜在的解决方案，解决了对象数据类型中的数字被不带引号传递到 GBQ 表的问题，通过将列数据类型设置为字符串来解决这个问题。
I use to_gbq on pandas for updating Google BigQuery and get GenericGBQException
我尝试了修复:
for col in df.columns:
if df[col].dtypes == object:
df[col] = df[col].fillna('')
df[col] = df[col].astype(str)
不幸的是，我仍然遇到同样的错误。同样，尝试格式化丢失的数据并为 int 和 float 设置数据类型也会产生相同的错误。
有什么我想念的吗？
最佳答案
发现bigquery无法正确处理\r(有时\n也是) 有同样的问题，定位问题，当我用空格替换 \r 修复它时我真的很惊讶:
for col in list(df.columns):
df[col] = df[col].apply(lambda x: x.replace(u'\r', u' ') if isinstance(x, str) or isinstance(x, unicode) else x)
关于python - 使用 pandas to_gbq 读取数据在 Google BigQuery 中创建表时出现 400 错误，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49628612/