hemanthboyina opened a new pull request, #58666:
URL: https://github.com/apache/spark/pull/58666
**What changes were proposed in this pull request?**
DataSourceV2Relation.transformV2Stats matched connector-reported column
statistics to output attributes via
`attribute.name.equals(key.describe())`. This PR matches on the
NamedReference's raw field name (key.fieldNames)
compared through SQLConf.get.resolver, restricted to single-part
references, and no longer compares against describe().
**Why are the changes needed?**
NamedReference.describe() returns a quoted display string
(QuotingUtils.quoteIfNeeded). For a top-level column
whose name
is not a plain identifier (e.g. col-1, 1col, or names with dots/spaces),
describe() yields col-1, which
never equals the attribute name col-1, so the column statistic
is silently dropped. The comparison is also case-sensitive
regardless of `spark.sql.caseSensitive`, so a stat keyed ID is dropped for
an attribute `id` under the default case-insensitive resolution . The lost
stats degrade cost-based optimizer estimates with no error surfaced.
**Does this PR introduce _any_ user-facing change?**
No public API change
**How was this patch tested?**
Added unit tests to DataSourceV2RelationSuite: one for a column name needing
quoting (col-1), and one asserting
case-sensitivity is honored (ID→id
matches under case-insensitive resolution
**Was this patch authored or co-authored using generative AI tooling?**
No
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