Omit parquet field for a schema with no nested fields #205
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istreeter
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pondzix
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May 8, 2024
Snowplow users commonly use schemas with no nested fields. Previously,
we were creating a string column and loading the string field `{}`. But
there is no benefit to loading this redundant data.
By omitting a column for these schemas, it means we support schema
evolution if the user ever adds a nested field to the empty schema.
For empty schemas with `additionalProperties: true` we retain the old
behaviour of loading the original JSON as a string.
In modern snowplow loaders we have already switched to using Vector when manipulating data structures. We use vector because we commonly need to join together fields from different shcmeas. But even the new loader code still has lots of `list.toVector`. If we change to Vector in schema-ddl then we can eliminate a lot of those unnecessary conversions.
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Snowplow users commonly use schemas with no nested fields. Previously, we were creating a string column and loading the string field
{}. But there is no benefit to loading this redundant data.By omitting a column for these schemas, it means we support schema evolution if the user ever adds a nested field to the empty schema.
For empty schemas with
additionalProperties: truewe retain the old behaviour of loading the original JSON as a string.