google.api_core.exceptions.BadRequest：400读取数据时出错，错误消息：CSV表遇到太多错误，放弃了。行数：1；错误：1.请查看错误流以获取更多详细信息。
我正在尝试运行将数据加载到csv的Python脚本，但出现此错误。谁能解释这个错误
import csv
#Imports the Google Cloud BigQuery client library
from google.cloud import bigquery
from google.cloud.bigquery import Dataset
from google.cloud.bigquery import Table
from google.cloud.bigquery import LoadJobConfig
from google.cloud.bigquery import SchemaField
filename = 'events.csv'
idNeeded=0
#Instantiates a client
bigquery_client = bigquery.Client()
#Runs a query from BigQuery
def runBigQueryQuery( query, filename, idNeeded ):
if idNeeded == 1:
i = 1
query_job = bigquery_client.query(query)
results = query_job.result()
with open (filename, 'w', newline='') as f: #Create CSV file
write = csv.writer(f,dialect='excel',lineterminator='\n')
try:
for row in results:
print('{},{},{},{},{},{},{},{},{},{},{},{},{},{},{} '.format(row.EventId,
row.ScheduleId,
row.Date,
row.TimeFrom,
row.Description,
row.TimeTo,
row.ResourceId,
row.EmployeeId,
row.MovementTypeId,
row.Capacity,
row.CanBook,
row.NonMemberFlag,
row.MemberAmount,
row.NonMemberAmount,
row.Attendance))
write.writerow([i,row.EventId,
row.ScheduleId,
row.Date,
row.TimeFrom,
row.Description,
row.TimeTo,
row.ResourceId,
row.EmployeeId,
row.MovementTypeId,
row.Capacity,
row.CanBook,
row.NonMemberFlag,
row.MemberAmount,
row.NonMemberAmount,
row.Attendance]) #write Rows to CSV
i = i+1
except AttributeError as error:
print('An error occured: {0}'.format(error))
else:
query_job = bigquery_client.query(query)
results = query_job.result()
with open (filename, 'w', newline='') as f: #Create CSV file
write = csv.writer(f,dialect='excel',lineterminator='\n')
try:
for row in results:
print('{},{},{},{},{},{},{},{},{},{},{},{},{},{},{} '.format( row.EventId,
row.ScheduleId,
row.Date,
row.TimeFrom,
row.Description,
row.TimeTo,
row.ResourceId,
row.EmployeeId,
row.MovementTypeId,
row.Capacity,
row.CanBook,
row.NonMemberFlag,
row.MemberAmount,
row.NonMemberAmount,
row.Attendance))
write.writerow([row.EventId,
row.ScheduleId,
row.Date,
row.TimeFrom,
row.Description,
row.TimeTo,
row.ResourceId,
row.EmployeeId,
row.MovementTypeId,
row.Capacity,
row.CanBook,
row.NonMemberFlag,
row.MemberAmount,
row.NonMemberAmount,
row.Attendance]) #write Rows to CSV
except AttributeError as error:
print('An error occured: {0}'.format(error))
return
#Creates a dataset in BigQuery
def createDataset(datasetname):
dataset_ref = bigquery_client.dataset(datasetname)
dataset = Dataset(dataset_ref)
dataset.location = 'US'
dataset = bigquery_client.create_dataset(dataset)
return
def getDataset(datasetname):
dataset = bigquery_client.dataset(datasetname)
return dataset
def createTable(tablename, global_dataset_ref):
schema = [
#Enter Schema here.
# SchemaField('url', 'STRING', mode='required'),
# SchemaField('views', 'INTEGER', mode='required')
]
table_ref = global_dataset_ref.table(tablename)
table = Table(table_ref, schema=schema)
table = bigquery_client.create_table(table)
assert table.table_id == tablename
return
def getTable(tablename, global_dataset_ref):
table_ref = global_dataset_ref.table(tablename)
table = bigquery_client.get_table(table_ref)
# print(table.table_id)
print(table.schema)
# print(table.description)
# print(table.num_rows)
return table
def getTableSchema(tablename, global_dataset_ref):
table_ref = global_dataset_ref.table(tablename)
table = bigquery_client.get_table(table_ref)
schema = table.schema
return schema
def loadDataFromCSV(tablename, global_dataset_ref, filename):
schema = getTableSchema(tablename, global_dataset_ref)
table_ref = global_dataset_ref.table(tablename)
load_config = LoadJobConfig()
load_config.source_format = bigquery.SourceFormat.CSV
load_config.schema = schema
load_config.autodetect = True
load_config.allow_quoted_newlines = True
with open (filename, 'rb') as readable:
job = bigquery_client.load_table_from_file(readable, table_ref, location='US', job_config=load_config)
job.result()
print('Loaded {} rows into {}:{}.'.format(job.output_rows, global_dataset_ref, table_ref.table_id))
return
# Testing
if __name__ == '__main__':
datasetname = 'Data_Layer'
tablename = 'Events'
sqlquery = '''SELECT
null as EventId,
sc.scheduleid AS ScheduleId,
NULL AS Description,
sc.scheduledatefrom AS Date,
sc.timestart AS TimeFrom,
sc.timeduration AS TimeTo,
r.resourceid AS ResourceId,
sp.employeeid AS EmployeeId,
NULL AS MovementTypeId,
r.configheight AS Capacity,
CASE
WHEN st.schedulestatus IN (1, 3) THEN '1'
ELSE '0'
END CanBook,
CASE
WHEN sv.nonmembermayenroll = TRUE THEN '1'
ELSE '0'
END NonMemberFlag,
COALESCE(ProgramPrice.pricemember,
ServicePrice.pricemember,
0) AS MemberAmount,
COALESCE(ProgramPrice.pricenonmember,
ServicePrice.pricenonmember,
0) AS NonMemberAmount,
'N/A' AS Attendance
FROM
AloomaTest.SCSESSIONS s
LEFT JOIN
AloomaTest.SCSESSION_PROVIDERS sp
ON
sp.sessionid = s.sessionid
LEFT JOIN
AloomaTest.SCSESSION_RESOURCES sr
ON
sr.sessionid = s.sessionid
LEFT JOIN
AloomaTest.SCSCHEDULES sc
ON
sc.scheduleid = s.scheduleid
LEFT JOIN
AloomaTest._SCSCHEDULESTATUS ST
ON
ST.schedulestatus = sc.schedulestatus
LEFT JOIN
AloomaTest.SCRESOURCES r
ON
r.resourceid = sr.resourceid
LEFT JOIN
AloomaTest.SCSERVICES sv
ON
sv.serviceid = sc.serviceid
LEFT JOIN
AloomaTest.SCPROGREG_SEMCOURSES semc
ON
semc.serviceid = sc.serviceid
AND semc.semesterid = sc.semesterid
LEFT JOIN
AloomaTest.SCPROGREG_PRICES ProgramPrice
ON
ProgramPrice.scheduleid = sc.scheduleid
LEFT JOIN
AloomaTest.SCPROGREG_PRICES ServicePrice
ON
ServicePrice.semcourseid = semc.semcourseid
WHERE
COALESCE(ProgramPrice.feetypeid,
0) = 0
AND COALESCE(ServicePrice.feetypeid,
0)= 0
and sc.scheduleid in(31207,
25936,
5761094,
832794,
9825,
17912)
'''
#createDataset(datasetname) #Successfully tested this code 2018-09-24
global_dataset_ref = getDataset(datasetname) #Successfully tested this code 2018-09-24
#createTable(tablename, global_dataset_ref) #Successfully tested this code 2018-09-24
getTable(tablename, global_dataset_ref) #Successfully tested this code 2018-09-24
runBigQueryQuery(sqlquery,filename,idNeeded) #Successfully tested this code 2018-09-24
loadDataFromCSV(tablename, global_dataset_ref,filename) #Successfully tested this code 2018-09-24
样本数据
,25936,2009-06-01 18:30:00,1110,M1PO - M1 PT Full,60,,254,,,1,0,0,0,N/A
,17912,2009-04-22 06:15:00,375,Pil Ptnr - Pilates Partner,60,47,398,,10,1,1,0,0,N/A
,31207,2009-06-22 19:00:00,1140,D390-2 - 1 1/2 Hour Massage,90,107,548,,20,0,0,0,0,N/A
,5761094,2018-10-05 00:00:00,1140,Fr 7:00-9:00p Adult Paddle Mixer,120,583,2349,,20,0,1,20,50,N/A
,5761094,2018-10-05 00:00:00,1140,Fr 7:00-9:00p Adult Paddle Mixer,120,591,2349,,20,0,1,20,50,N/A
,5761094,2018-10-05 00:00:00,1140,Fr 7:00-9:00p Adult Paddle Mixer,120,585,2349,,20,0,1,20,50,N/A
,5761094,2018-10-05 00:00:00,1140,Fr 7:00-9:00p Adult Paddle Mixer,120,584,2349,,20,0,1,20,50,N/A
,832794,2012-02-21 14:30:00,870,Comp Member One/One,60,,2963,,,1,0,0,0,N/A
答案 0 :(得分：0)
错误消息表明CSV中只有1行，制作时可能会丢失新行。