Column logical (not physical) type and allow_schema_mismatch #606
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| @@ -479,6 +480,22 @@ def __init__( | |||
| self.stream_per_shard = np.array(stream_per_shard, np.int64) | |||
| self.num_shards = len(self.shards) | |||
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| # Maybe check all schemas match. | |||
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nit: why the word maybe?
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because the check may happen or it may not
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Yeah, but it depends on whether the flag allow_schema_mismatch is true or not. So, maybe, check all schemas match?
| @@ -36,6 +41,8 @@ def _validate(data: Any, expected_type: Any) -> bool: | |||
| class Str(Encoding): | |||
| """Store str.""" | |||
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| logical_type = LogicalStr | |||
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Wondering, where is this getting used?
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streaming.format.mds.encoding.MDSEncoding.logical_type (start here)
-> streaming.format.base.type.Type (then go to the logical type class)
-> streaming.format.base.type.Type.get_signature (it has a stringify single column method)
-> streaming.format.base.shard.base.Shard.get_logical_type_signature (which is used by shard to stringify all columns for equality comparison)
-> streaming.dataset.StreamingDataset.__init__ (which is needed for allow_schema_mismatch impl)
| if not allow_schema_mismatch: | ||
| sigs = [shard.get_logical_type_signature() for shard in self.shards] | ||
| sig2count = Counter(sigs) | ||
| if len(sig2count) != 1: |
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Are mixed logical types of the same kind (like int32 + int64) not allowed?
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Not allowed at this time for MVP. Maybe in the future, we would go with the wider type for all shards? But that would be kind of magical and might interact with custom getitem work?
This PR was split out of a larger Parquet streaming PR, to follow.
allow_schema_mismatch-- checks all shards to verify that their schema (column name and type signatures) match. This functionality is an important safety check for Parquet streaming relating to accidentally including Parquet files and other user error.