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updates linting on base.py
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sqlalchemy_bigquery/base.py

Lines changed: 7 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -859,7 +859,7 @@ def _process_time_partitioning(
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partitioning_period = time_partitioning.type_
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else:
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# If no field is given, default to "_PARTITIONDATE" as the
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# If no field is given, default to "_PARTITIONDATE" as the
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# field to partition on. In addition, to normalize the processing in
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# the remainder of this function, set column_type and partitioning_period
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# as shown below.
@@ -871,16 +871,16 @@ def _process_time_partitioning(
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sqltypes_w_no_partitioning_period = {
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# Keys are columns, values are functions
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"_PARTITIONDATE": None,
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"_PARTITIONTIME": "DATE", # <date function>
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"DATE": None, # 'DATE' is a <date_column> not a function
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"DATETIME": "DATE", # <date function>
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"TIMESTAMP": "DATE", # <date function>
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"_PARTITIONTIME": "DATE", # <date function>
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"DATE": None, # 'DATE' is a <date_column> not a function
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"DATETIME": "DATE", # <date function>
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"TIMESTAMP": "DATE", # <date function>
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}
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# TODO: move this dictionary outside the function or to top of function
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sqltypes_w_partitioning_period = {
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# Keys are columns, values are (functions, {allowed_partioning_periods})
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#"_PARTITIONDATE": ("_PARTITIONDATE", {}),
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# "_PARTITIONDATE": ("_PARTITIONDATE", {}),
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"DATE": ("DATE_TRUNC", {"MONTH", "YEAR"}),
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"DATETIME": ("DATETIME_TRUNC", {"DAY", "HOUR", "MONTH", "YEAR"}),
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"TIMESTAMP": ("TIMESTAMP_TRUNC", {"DAY", "HOUR", "MONTH", "YEAR"}),
@@ -893,7 +893,7 @@ def _process_time_partitioning(
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if partitioning_period is None:
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function = sqltypes_w_no_partitioning_period[column_type]
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else:
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function, allowed_partitions = sqltypes_w_partitioning_period[column_type]
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function, allowed_partitions = sqltypes_w_partitioning_period[column_type]
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# Create output:
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# Special Case 1: _PARTITIONDATE does NOT use a function or partitioning_period

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