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+ # Troubleshooting steps
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+
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+ ## Enable logging of BQ Storage Read API session creation
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+
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+ It can be helpful to get the BQ Storage Read API session to allow the BigQuery
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+ backend team to debug cases of API instability. The logs that share the session
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+ creation are in a module-specific logger. To enable the logs, refer to the
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+ following code sample:
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+
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+ ``` python
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+ import logging
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+ import google.cloud.bigquery
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+
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+ # Configure the basic logging to show DEBUG level messages
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+ log_formatter = logging.Formatter(
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+ ' %(asctime)s - %(levelname)s - %(message)s '
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+ )
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+ handler = logging.StreamHandler()
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+ handler.setFormatter(log_formatter)
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+ default_logger = logging.getLogger()
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+ default_logger.setLevel(logging.DEBUG )
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+ default_logger.addHandler(handler)
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+ to_dataframe_logger = logging.getLogger(" google.cloud.bigquery._pandas_helpers" )
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+ to_dataframe_logger.setLevel(logging.DEBUG )
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+ to_dataframe_logger.addHandler(handler)
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+
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+ # Example code that touches the BQ Storage Read API.
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+ bqclient = google.cloud.bigquery.Client()
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+ results = bqclient.query_and_wait(" SELECT * FROM `bigquery-public-data.usa_names.usa_1910_2013`" )
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+ print (results.to_dataframe().head())
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+ ```
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+
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+ In particular, watch for the text "with BQ Storage API session" in the logs
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+ to get the streaming API session ID to share with your support person.
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