Question

我使用以下Python代码从BigQuery中的表中删除了所有数据，当我在运行代码几秒钟后检查该表时，发现该表现在为空，因此删除必须成功。但是，作业状态仍然显示它处于RUNNING状态。

from google.cloud import bigquery
import time

client     = bigquery.Client()
job_config = bigquery.QueryJobConfig()

job_config.priority = bigquery.QueryPriority.INTERACTIVE

sql = """DELETE FROM <table_name> WHERE TRUE"""

query_job = client.query( sql, job_config= job_config )
query_job = client.get_job( query_job.job_id )  # API request - fetches job

while query_job.state == "RUNNING":
    print( "Job {} is currently in state {}".format( query_job.job_id, query_job.state ) )
    time.sleep( 5 )

if query_job.errors != None:
    print( "Query Failed." )
    raise Exception( "Query Failed. Error: [ %s ]." % query_job.error_result )

这里出了什么问题？为什么作业没有进入“完成”状态？如何通过代码检查是否成功执行？

Answer 1

诀窍在这里：

query_job = client.get_job( query_job.job_id )  # API request - fetches job

while query_job.state == "RUNNING":
    print( "Job {} is currently in state {}".format( query_job.job_id, query_job.state ) )
    time.sleep( 5 )

get_job会在某个时间点返回作业状态，但是在作业状态更改时不会自动更新。相反，您需要在循环中调用get_job：

while True:
  query_job = client.get_job( query_job.job_id )  # API request - fetches job
  if query_job.state != "RUNNING":
    break
  print( "Job {} is currently in state {}".format( query_job.job_id, query_job.state ) )
  time.sleep( 5 )

成功删除后，BigQuery作业仍处于RUNNING状态

1 个答案: