Read legacy data with Repeated Structured Expando properties. #176
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Legacy NDB had a bug where, with repeated Expando properties, it could end up writing arrays of different length if some entities had missing values for certain subproperties. When Cloud NDB read this out, it might have only loaded entities corresponding to the shorter array length. See issue googleapis#129 . To fix this, with PR googleapis#176 , we made Cloud NDB check if there are length differences and pad out the array as necessary. However, depending on the order properties are returned from Datastore in, we may have accidentally padded with subentities of the wrong kind, because it was possible to skip over updating the kind if we alternated between updating repeated properties. (Eg: A.a with 2 elements, B.b with 3 elements, A.c with 3 elements -> A would end up with an element of B's kind)
rwhogg
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Legacy NDB had a bug where, with repeated Expando properties, it could end up writing arrays of different length if some entities had missing values for certain subproperties. When Cloud NDB read this out, it might have only loaded entities corresponding to the shorter array length. See issue googleapis#129 . To fix this, with PR googleapis#176 , we made Cloud NDB check if there are length differences and pad out the array as necessary. However, depending on the order properties are returned from Datastore in, we may have accidentally padded with subentities of the wrong kind, because it was possible to skip over updating the kind if we alternated between updating repeated properties. (Eg: A.a with 2 elements, B.b with 3 elements, A.c with 3 elements -> A would end up with an element of B's kind)
parthea
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… ds (#824) Legacy NDB had a bug where, with repeated Expando properties, it could end up writing arrays of different length if some entities had missing values for certain subproperties. When Cloud NDB read this out, it might have only loaded entities corresponding to the shorter array length. See issue #129 . To fix this, with PR #176 , we made Cloud NDB check if there are length differences and pad out the array as necessary. However, depending on the order properties are returned from Datastore in, we may have accidentally padded with subentities of the wrong kind, because it was possible to skip over updating the kind if we alternated between updating repeated properties. (Eg: A.a with 2 elements, B.b with 3 elements, A.c with 3 elements -> A would end up with an element of B's kind)
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Fixes #129.