[SPARK-47222][SQL] fileCompressionFactor also applied to the size of the table

[wangyum]

What changes were proposed in this pull request?

This PR makes spark.sql.sources.fileCompressionFactor also applied to the size of the table.

Why are the changes needed?

To keep the behavior consistent. For example:

bin/spark-shell --conf spark.sql.catalogImplementation=in-memory

scala> spark.range(5).write.parquet("/tmp/spark/parquet")
                                                                                
scala> spark.sql("set spark.sql.sources.fileCompressionFactor=2.0")
res1: org.apache.spark.sql.DataFrame = [key: string, value: string]

scala> spark.sql("create table t(id long) using parquet location '/tmp/spark/parquet'")
res2: org.apache.spark.sql.DataFrame = []

scala> spark.sql("select * from t").explain("cost")
== Optimized Logical Plan ==
Relation spark_catalog.default.t[id#13L] parquet, Statistics(sizeInBytes=5.2 KiB) // The sizeInBytes is location.sizeInBytes * spark.sql.sources.fileCompressionFactor

scala> sql("ANALYZE TABLE t COMPUTE STATISTICS noscan")
res4: org.apache.spark.sql.DataFrame = []

scala> spark.sql("select * from t").explain("cost")
== Optimized Logical Plan ==
Relation spark_catalog.default.t[id#17L] parquet, Statistics(sizeInBytes=2.6 KiB) // The sizeInBytes is table statistics

After this PR:

scala> spark.sql("select * from t").explain("cost")
== Optimized Logical Plan ==
Relation spark_catalog.default.t[id#17L] parquet, Statistics(sizeInBytes=5.2 KiB) // The sizeInBytes is table statistics * compressionFactor

Does this PR introduce any user-facing change?

No.

How was this patch tested?

Unit test.

Was this patch authored or co-authored using generative AI tooling?

No.

[wangyum]

cc @cloud-fan

[github-actions]

We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!