skip test for databricks; fixup offset for synthetic block as well

Author: jihoonson

integration_tests/src/main/python/delta_lake_test.py

@@ -677,8 +677,10 @@ def read_table(spark):
 @ignore_order(local=True)
 @pytest.mark.parametrize("parquet_reader_type", ["PERFILE", "COALESCING", "MULTITHREADED"], ids=idfn)
 @pytest.mark.parametrize("footer_type", ["NATIVE", "JAVA"], ids=idfn)
-@pytest.mark.skipif(not supports_delta_lake_deletion_vectors(),
-                    reason="Delta Lake deletion vector support is required")
+@pytest.mark.skipif(is_before_spark_353(),
+                    reason="Spark-RAPIDS supports scan with deletion vectors starting in Spark 3.5.3")
+@pytest.mark.skipif(is_databricks_runtime(),
+                    reason="Deletion vector scan is not supported on Databricks")
 def test_delta_deletion_vector_native_footer_multi_row_group(spark_tmp_path, parquet_reader_type, footer_type):
     """
     Tests deletion vector filtering on a Delta table whose single Parquet file has multiple

sql-plugin/src/main/scala/com/nvidia/spark/rapids/parquet/GpuParquetScan.scala

@@ -727,6 +727,11 @@ protected case class GpuParquetFileFilterHandler(
                   val numRows = tableFooter.getNumRows
                   val block = new BlockMetaData()
                   block.setRowCount(numRows)
+                  // Fix up the row index offset
+                  val offsets = tableFooter.getRowIndexOffsets
+                  if (offsets.nonEmpty) {
+                    block.setRowIndexOffset(offsets(0))
+                  }
                   val schema = new MessageType("root")
                   return ParquetFileInfoWithBlockMeta(filePath, Seq(block), file.partitionValues,
                     schema, readDataSchema, DateTimeRebaseLegacy, DateTimeRebaseLegacy,