Download BigQuery table to pyarrow table for python-based ingestion flow #1366
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jklegar
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khorshuheng,
pyalex,
woop and
zhilingc
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jklegar
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Mar 5, 2021
jklegar
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Mar 5, 2021
|
btw this is stacked on #1364 but I don't think GH PR's support stacked diffs |
woop
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Mar 5, 2021
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Mar 5, 2021
sdk/python/feast/big_query_source.py
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| query: Optional[str], | ||
| ): | ||
| if (table_ref is None) == (query is None): | ||
| raise Exception("Exactly one of table_ref and query should be specified") |
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https://docs.python.org/3/library/exceptions.html#ValueError is preferred I think.
woop
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Mar 5, 2021
woop
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Mar 5, 2021
woop
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Mar 5, 2021
woop
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Mar 5, 2021
sdk/python/feast/offline_store.py
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| # if we have mapped fields, use the original field names in the call to BigQuery | ||
| event_timestamp_column = feature_view.inputs.event_timestamp_column | ||
| fields = ( |
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Can we please add a few comments to this code so that its easier for a reader to parse
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Mar 7, 2021
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Mar 10, 2021
woop
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Mar 11, 2021
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sdk/python/feast/offline_store.py
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| class BigQueryOfflineStore(OfflineStore): | ||
| """ | ||
| BigQueryOfflineStore is a non-user-facing object used for all interaction between Feast and BigQuery. |
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I think we can maybe just leave out this comment and inherit from OfflineStore for now.
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Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
Signed-off-by: Jacob Klegar <[email protected]>
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/lgtm |
woop
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Mar 12, 2021
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: jklegar, woop The full list of commands accepted by this bot can be found here. The pull request process is described here
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What this PR does / why we need it: Implements downloading a BQ table to an in-memory pyarrow table, which will be part of the python-based ingestion flow
Which issue(s) this PR fixes:
Fixes #
Does this PR introduce a user-facing change?: