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docs: use a short-link to BigQuery DataFrames (#773)
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docs/index.rst

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@@ -23,8 +23,8 @@ Note: The canonical version of this documentation can always be found on the
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`BigQuery sandbox <https://cloud.google.com/bigquery/docs/sandbox>`__ to
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try the service for free.
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Also, consider using `BigQuery DataFrames
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<https://cloud.google.com/bigquery/docs/bigquery-dataframes-introduction>`__
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Also, consider using BigQuery DataFrames
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(`bit.ly/bigframes-intro <https://bit.ly/bigframes-intro>`__)
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to process large results with pandas compatible APIs with transparent SQL
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pushdown to BigQuery engine. This provides an opportunity to save on costs
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and improve performance.

pandas_gbq/gbq.py

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@@ -493,8 +493,7 @@ def _download_results(
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num_gib = num_bytes / pandas_gbq.constants.BYTES_IN_GIB
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warnings.warn(
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f"Recommendation: Your results are {num_gib:.1f} GiB. "
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"Consider using BigQuery DataFrames "
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"(https://cloud.google.com/bigquery/docs/bigquery-dataframes-introduction) "
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"Consider using BigQuery DataFrames (https://bit.ly/bigframes-intro)"
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"to process large results with pandas compatible APIs with transparent SQL "
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"pushdown to BigQuery engine. This provides an opportunity to save on costs "
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"and improve performance. "

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