sunchao opened a new pull request #34199:
URL: https://github.com/apache/spark/pull/34199
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### What changes were proposed in this pull request?
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This PR includes the following:
1. adds a new class `ParquetType`, which is a wrapper on a Spark `DataType`
with additional Parquet type information, including its max repetition level &
definition level, path from the root schema, column descriptor if the node is a
leaf, the children nodes is it is a non-leaf, etc. This is needed to support
complex type in the vectorized path, where we need to assemble a column vector
of complex type using these information.
2. extends `ParquetSchemaConverter` to convert from a Parquet `MessageType`
into a `ParquetType`, mostly by piggy-backing on the existing logic. A new
method `converParquetType` is added for this purpose, and the existing
`convert` is changed to simply by calling the former.
### Why are the changes needed?
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In order to support complex type for the vectorized Parquet reader (see
SPARK-34863 for more info), we'll need to capture Parquet specific information
such as max repetition/definition level for Spark's `DataType`, so that we can
assemble primitive column vectors into ones with complex type (e.g., struct,
map, array).
### Does this PR introduce _any_ user-facing change?
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No.
### How was this patch tested?
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Extended the test cases in `ParquetSchemaSuite`
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