outputOrdering should handle aliases correctly

withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "0") {
      val df = (0 until 20).toDF("i").as("df")
      df.repartition(8, df("i")).write.format("parquet")
        .bucketBy(8, "i").sortBy("i").saveAsTable("t")
      val t1 = spark.table("t")
      val t2 = t1.selectExpr("i as ii")
      t1.join(t2, t1("i") === t2("ii")).explain
    }

== Physical Plan ==
*(3) SortMergeJoin [i#8], [ii#10], Inner
:- *(1) Project [i#8]
:  +- *(1) Filter isnotnull(i#8)
:     +- *(1) ColumnarToRow
:        +- FileScan parquet default.t[i#8] Batched: true, DataFilters: [isnotnull(i#8)], Format: Parquet, Location: InMemoryFileIndex[file:/..., PartitionFilters: [], PushedFilters: [IsNotNull(i)], ReadSchema: struct<i:int>, SelectedBucketsCount: 8 out of 8
+- *(2) Sort [ii#10 ASC NULLS FIRST], false, 0
   +- *(2) Project [i#8 AS ii#10]
      +- *(2) Filter isnotnull(i#8)
         +- *(2) ColumnarToRow
            +- FileScan parquet default.t[i#8] Batched: true, DataFilters: [isnotnull(i#8)], Format: Parquet, Location: InMemoryFileIndex[file:/..., PartitionFilters: [], PushedFilters: [IsNotNull(i)], ReadSchema: struct<i:int>, SelectedBucketsCount: 8 out of 8