无法将数据从 CoLab 加载到 Bigquery

Question

I am trying to load 5 SQL files to 5 different tables in bigquery to visualize the data in data studio.i have uploaded these files in CoLab's storage section and authorized the project.

datasets = [r"/file1.sql",r"/file2.sql",,r"/file3.sql",r"/file4.sql",,r"/file5.sql"]
f = open(datasets[1], "r")
data=f.read()
data = data.replace('\n','')
import pandas as pd

df = pd.io.gbq.read_gbq('''data''', project_id='newproject1', dialect='standard')

df.head()

df.to_gbq('dataset1.testtable1','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable2','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable3','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable4','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable5','newproject1',chunksize=None,reauth=False,if_exists='append')

)

I get below error when I run the query.

The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line string', (1, 0))

---------------------------------------------------------------------------
BadRequest                                Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pandas_gbq/gbq.py in _download_results(self, query_job, max_results, progress_bar_type)
    549 
--> 550             query_job.result()
    551             # Get the table schema, so that we can list rows.

Also I want to know how to change python code to load the data to 5 respected tables.

Answer 1

I don't know if it is a typo or if it is the issue but try replacing:

df.to_gbq(dataset1.testtable1','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq(dataset1.testtable2','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq(dataset1.testtable3','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq(dataset1.testtable4','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq(dataset1.testtable5','newproject1',chunksize=None,reauth=False,if_exists='append')

with

df.to_gbq('dataset1.testtable1','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable2','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable3','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable4','newproject1',chunksize=None,reauth=False,if_exists='append')
df.to_gbq('dataset1.testtable5','newproject1',chunksize=None,reauth=False,if_exists='append')