vinodkc opened a new pull request, #53470:
URL: https://github.com/apache/spark/pull/53470
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### What changes were proposed in this pull request?
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This PR extends `DESCRIBE TABLE AS JSON` support to DataSource V2 tables
### Why are the changes needed?
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Prior to this PR, `DESCRIBE TABLE AS JSON` only supported DataSource V1
tables. Users can now access metadata in json format for both V1 and V2 tables
using the same SQL syntax
### Does this PR introduce _any_ user-facing change?
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Yes. Users can now use `DESCRIBE TABLE AS JSON` with DataSource V2 tables
```sql
CREATE TABLE v2_table (id INT, name STRING) USING delta;
DESCRIBE EXTENDED v2_table AS JSON;
-- Returns:
{
"table_name": "v2_table",
"catalog_name": "spark_catalog",
"namespace": ["default"],
"schema_name": "default",
"columns": [
{"name": "id", "type": {"name": "int"}, "nullable": true},
{"name": "name", "type": {"name": "string"}, "nullable": true}
],
"type": "MANAGED",
"provider": "delta",
"location": "file:/tmp/warehouse/v2_table",
"capabilities": ["BATCH_READ", "BATCH_WRITE", "STREAMING_WRITE"],
"table_properties": {
"delta.minReaderVersion": "3",
"delta.minWriterVersion": "7"
}
}
```
**V2-Specific JSON Fields**:
The JSON output for V2 tables includes additional fields not available for
V1 tables:
- capabilities: Array of table capabilities (e.g., ["BATCH_READ",
"BATCH_WRITE"])
- partitioning: Array of partition transforms with type and columns
- metadata_columns: Array of metadata columns with schema information
- constraints: Array of table constraints (primary key, check constraints)
- statistics: Object with size_in_bytes and num_rows when available
### How was this patch tested?
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Added Tests in `DescribeTableSuite.scala`
### Was this patch authored or co-authored using generative AI tooling?
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No.
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