feat: support json_[string][pyarrow] dtype and make pandas-gbq dtypes more independent from google-cloud-bigquery logic#893
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feat: support json_[string][pyarrow] dtype and make pandas-gbq dtypes more independent from google-cloud-bigquery logic#893
json_[string][pyarrow] dtype and make pandas-gbq dtypes more independent from google-cloud-bigquery logic#893Conversation
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| # Prefer JSON type built-in to pyarrow (adding in 19.0.0), if available. | ||
| # Otherwise, fallback to db-dtypes, where the JSONArrowType was added in 1.4.0, | ||
| # but since they might have an older db-dtypes, have string as a fallback for that. | ||
| if hasattr(pyarrow, "json_"): | ||
| json_arrow_type = pyarrow.json_(pyarrow.string()) | ||
| elif hasattr(db_dtypes, "JSONArrowType"): | ||
| json_arrow_type = db_dtypes.JSONArrowType() | ||
| else: | ||
| json_arrow_type = pyarrow.string() |
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I had a change of heart in googleapis/python-bigquery#1876 For to_arrow(), we should emulate the BQ Storage Read API as closely as possible.
For read_gbq(), that's where I'd like to use the extension type(s) if available.
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