python-3.x - 无法在 BigQuery 中使用 DML 语句在作业中设置目标表

Question

我正在编写 Python 代码以使用 bigquery.Client.query 执行 BigQuery sql 命令。我收到无法在使用 DML 语句的作业中设置目标表异常。

下面是我使用的Python代码

if query_file_name:
    with open(query_file_name, mode="r") as query_file:
        query = query_file.read()

job_config = bigquery.QueryJobConfig()
job_config.use_legacy_sql = use_legacy_sql

if destination:
    if destination.partitioned_field:
        job_config.time_partitioning = TimePartitioning(type_=TimePartitioningType.DAY, 
                                         field=destination.partitioned_field)
google_bq_table = self.fetch_table_reference(destination)
job_config.destination = google_bq_table

job_config.write_disposition = WriteDisposition.WRITE_APPEND

query_job = self.google_client.query(query, job_config=job_config)  # API request - starts the query asynchronously

我有如下 BigQuery sql 中的 query_file

INSERT mydataset.target_table
        (col1, col2, col3, created_date)
WITH T AS (SELECT col1, col2, col3, CURRENT_DATE() as created_date
            from mydataset.temp_table
           )
SELECT col1, col2, col3, created_date FROM T

提前感谢您的帮助

谢谢，

拉古纳特。

Answer 1

Cannot set destination table in jobs with DML statements

作为 BigQuery 错误消息中的统计信息，您无法在运行插入命令时在 python 代码目标对象中进行设置。

删除这行

if destination:
    if destination.partitioned_field:
        job_config.time_partitioning = TimePartitioning(type_=TimePartitioningType.DAY, 
                                         field=destination.partitioned_field)
google_bq_table = self.fetch_table_reference(destination)
job_config.destination = google_bq_table

从您的代码将解决您的问题