brkyvz commented on a change in pull request #26231: [SPARK-29572][SQL] add v1 
read fallback API in DS v2
URL: https://github.com/apache/spark/pull/26231#discussion_r366990811
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
 ##########
 @@ -19,40 +19,72 @@ package org.apache.spark.sql.execution.datasources.v2
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.sql.{AnalysisException, Strategy}
+import org.apache.spark.sql.{AnalysisException, SparkSession, Strategy}
 import org.apache.spark.sql.catalyst.analysis.{ResolvedNamespace, 
ResolvedTable}
-import org.apache.spark.sql.catalyst.expressions.{And, PredicateHelper, 
SubqueryExpression}
+import org.apache.spark.sql.catalyst.expressions.{And, Expression, 
NamedExpression, PredicateHelper, SubqueryExpression}
 import org.apache.spark.sql.catalyst.planning.PhysicalOperation
 import org.apache.spark.sql.catalyst.plans.logical.{AlterNamespaceSetLocation, 
AlterNamespaceSetOwner, AlterNamespaceSetProperties, AlterTable, AppendData, 
CommentOnNamespace, CommentOnTable, CreateNamespace, CreateTableAsSelect, 
CreateV2Table, DeleteFromTable, DescribeNamespace, DescribeTable, 
DropNamespace, DropTable, LogicalPlan, OverwriteByExpression, 
OverwritePartitionsDynamic, RefreshTable, RenameTable, Repartition, 
ReplaceTable, ReplaceTableAsSelect, SetCatalogAndNamespace, 
ShowCurrentNamespace, ShowNamespaces, ShowTableProperties, ShowTables}
-import org.apache.spark.sql.connector.catalog.{Identifier, 
StagingTableCatalog, SupportsNamespaces, TableCapability, TableCatalog, 
TableChange}
+import org.apache.spark.sql.connector.catalog.{StagingTableCatalog, 
SupportsNamespaces, TableCapability, TableCatalog, TableChange}
+import org.apache.spark.sql.connector.read.V1Scan
 import org.apache.spark.sql.connector.read.streaming.{ContinuousStream, 
MicroBatchStream}
-import org.apache.spark.sql.execution.{FilterExec, ProjectExec, SparkPlan}
+import org.apache.spark.sql.execution.{FilterExec, LeafExecNode, ProjectExec, 
RowDataSourceScanExec, SparkPlan}
 import org.apache.spark.sql.execution.datasources.DataSourceStrategy
 import 
org.apache.spark.sql.execution.streaming.continuous.{ContinuousCoalesceExec, 
WriteToContinuousDataSource, WriteToContinuousDataSourceExec}
+import org.apache.spark.sql.sources.{BaseRelation, TableScan}
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
 
-object DataSourceV2Strategy extends Strategy with PredicateHelper {
+class DataSourceV2Strategy(session: SparkSession) extends Strategy with 
PredicateHelper {
 
   import DataSourceV2Implicits._
   import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
 
+  private def withProjectAndFilter(
+      project: Seq[NamedExpression],
+      filters: Seq[Expression],
+      scan: LeafExecNode,
+      needsUnsafeConversion: Boolean): SparkPlan = {
+    val filterCondition = filters.reduceLeftOption(And)
+    val withFilter = filterCondition.map(FilterExec(_, scan)).getOrElse(scan)
+
+    if (withFilter.output != project || needsUnsafeConversion) {
+      ProjectExec(project, withFilter)
+    } else {
+      withFilter
+    }
+  }
+
   override def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
+    case PhysicalOperation(project, filters,
+        relation @ DataSourceV2ScanRelation(_, v1Scan: V1Scan, output)) =>
+      val pushedFilters = 
relation.getTagValue(V2ScanRelationPushDown.PUSHED_FILTERS_TAG)
+        .getOrElse(Seq.empty)
+      val v1Relation = v1Scan.toV1TableScan[BaseRelation with 
TableScan](session.sqlContext)
+      if (v1Relation.schema != v1Scan.readSchema()) {
+        throw new IllegalArgumentException(
+          "The fallback v1 relation reports inconsistent schema:\n" +
+            "Schema of v2 scan:     " + v1Scan.readSchema() + "\n" +
+            "Schema of v1 relation: " + v1Relation.schema)
+      }
+      val rdd = v1Relation.buildScan()
+      val unsafeRowRDD = DataSourceStrategy.toCatalystRDD(v1Relation, output, 
rdd)
+      val originalOutputNames = relation.table.schema().map(_.name)
+      val requiredColumnsIndex = 
output.map(_.name).map(originalOutputNames.indexOf)
+      val dsScan = RowDataSourceScanExec(
+        output,
+        requiredColumnsIndex,
+        pushedFilters.toSet,
 
 Review comment:
   this is incorrect, right? There were other filters that weren't handled. As 
I understand, this should be the entire set of filters

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