Question

我想使用Python和Dataflow在BigQuery中读取一个表。我事先不知道桌子的名字。我正在使用模板来传递表名，如下所示：

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from apache_beam.options.pipeline_options import PipelineOptions


class DataflowOptions(PipelineOptions):
    @classmethod
    def _add_argparse_args(cls, parser):
        parser.add_value_provider_argument(
            '--table_name',
            help='Name of table on BigQuery')


def run(argv=None):
    pipeline_options = PipelineOptions()
    dataflow_options = pipeline_options.view_as(DataflowOptions)

    with beam.Pipeline(options=pipeline_options) as pipeline:
        table_spec = bigquery.TableReference(
            projectId='MyProyectId',
            datasetId='MyDataset',
            tableId=str(dataflow_options.table_name))

        p = (pipeline | 'Read Table' >> beam.io.Read(beam.io.BigQuerySource(table_spec)))


if __name__ == '__main__':
    run()

但是当我启动工作时，出现以下错误：

Workflow failed. Causes: S01:Read Table+Batch Users/ParDo(_GlobalWindowsBatchingDoFn)+Hash Users+Upload to Ads failed., BigQuery getting table "RuntimeValueProvider(option: table_name, type: str, default_value: None)" from dataset "MyDataset" in project "MyProject" failed., BigQuery execution failed., Error:
 Message: Invalid table ID "RuntimeValueProvider(option: table_name, type: str, default_value: None)".
 HTTP Code: 400

我读过this answer，但到目前为止2017年还没有？

Answer 1

在here中提到的文档中，TableReference采用以下参数(dataset_ref, table_id)。从您的代码段来看，括号似乎放置不正确。

with beam.Pipeline(options=pipeline_options) as pipeline:
        dataset_ref = bigquery.DatasetReference('my-project-id', 'some_dataset')
        table_spec = bigquery.TableReference(dataset_ref,
            tableId=str(dataflow_options.table_name)

使用数据流模板读取大查询表

1 个答案: