SPARKC-693 Support for Spark 3.3

CHANGES.txt

@@ -1,3 +1,5 @@
+3.3.0
+ * Spark 3.3.x support (SPARKC-693)
 3.2.0
  * Spark 3.2.x support (SPARKC-670)
  * Fix: Cassandra Direct Join doesn't quote keyspace and table names (SPARKC-667)

README.md

@@ -52,6 +52,7 @@ Currently, the following branches are actively supported:
 
 | Connector | Spark         | Cassandra | Cassandra Java Driver | Minimum Java Version | Supported Scala Versions |
 | --------- | ------------- | --------- | --------------------- | -------------------- | -----------------------  |
+| 3.3       | 3.3           | 2.1.5*, 2.2, 3.x, 4.0 | 4.13             | 8             | 2.12                     |
 | 3.2       | 3.2           | 2.1.5*, 2.2, 3.x, 4.0 | 4.13             | 8             | 2.12                     |
 | 3.1       | 3.1           | 2.1.5*, 2.2, 3.x, 4.0 | 4.12             | 8             | 2.12                     |
 | 3.0       | 3.0           | 2.1.5*, 2.2, 3.x, 4.0 | 4.12             | 8             | 2.12                     |

connector/src/it/scala/com/datastax/spark/connector/SparkCassandraITFlatSpecBase.scala

@@ -247,7 +247,7 @@ trait SparkCassandraITSpecBase
 
   def getCassandraScan(plan: SparkPlan): CassandraScan = {
     plan.collectLeaves.collectFirst{
-      case BatchScanExec(_, cassandraScan: CassandraScan, _) => cassandraScan
+      case BatchScanExec(_, cassandraScan: CassandraScan, _, _) => cassandraScan
     }.getOrElse(throw new IllegalArgumentException("No Cassandra Scan Found"))
   }
 

connector/src/it/scala/com/datastax/spark/connector/cql/sai/SaiBaseSpec.scala

@@ -47,7 +47,7 @@ trait SaiBaseSpec extends Matchers with SparkCassandraITSpecBase {
 
   def findCassandraScan(plan: SparkPlan): CassandraScan = {
     plan match {
-      case BatchScanExec(_, scan: CassandraScan, _) => scan
+      case BatchScanExec(_, scan: CassandraScan, _, _) => scan
       case filter: FilterExec => findCassandraScan(filter.child)
       case project: ProjectExec => findCassandraScan(project.child)
       case _ => throw new NoSuchElementException("RowDataSourceScanExec was not found in the given plan")

connector/src/it/scala/com/datastax/spark/connector/sql/CassandraDataSourceSpec.scala

@@ -274,10 +274,10 @@ class CassandraDataSourceSpec extends SparkCassandraITFlatSpecBase with DefaultC
     if (pushDown)
       withClue(s"Given Dataframe plan does not contain CassandraInJoin in its predecessors.\n${df.queryExecution.sparkPlan.toString()}") {
         df.queryExecution.executedPlan.collectLeaves().collectFirst{
-          case a@BatchScanExec(_, _: CassandraInJoin, _) => a
+          case a@BatchScanExec(_, _: CassandraInJoin, _, _) => a
           case b@AdaptiveSparkPlanExec(_, _, _, _, _) =>
             b.executedPlan.collectLeaves().collectFirst{
-              case a@BatchScanExec(_, _: CassandraInJoin, _) => a
+              case a@BatchScanExec(_, _: CassandraInJoin, _, _) => a
             }
         } shouldBe defined
      }
@@ -288,7 +288,7 @@ class CassandraDataSourceSpec extends SparkCassandraITFlatSpecBase with DefaultC
   private def assertOnAbsenceOfCassandraInJoin(df: DataFrame): Unit =
     withClue(s"Given Dataframe plan contains CassandraInJoin in its predecessors.\n${df.queryExecution.sparkPlan.toString()}") {
       df.queryExecution.executedPlan.collectLeaves().collectFirst{
-        case a@BatchScanExec(_, _: CassandraInJoin, _) => a
+        case a@BatchScanExec(_, _: CassandraInJoin, _, _) => a
       } shouldBe empty
     }
 

connector/src/it/scala/com/datastax/spark/connector/util/CatalystUtil.scala

@@ -7,6 +7,6 @@ import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
 object CatalystUtil {
 
   def findCassandraScan(sparkPlan: SparkPlan): Option[CassandraScan] = {
-    sparkPlan.collectFirst{ case BatchScanExec(_, scan: CassandraScan, _) => scan}
+    sparkPlan.collectFirst{ case BatchScanExec(_, scan: CassandraScan, _, _) => scan}
   }
 }

connector/src/main/scala/com/datastax/spark/connector/datasource/CassandraCatalog.scala

@@ -190,7 +190,7 @@ class CassandraCatalog extends CatalogPlugin
       .asJava
   }
 
-  override def dropNamespace(namespace: Array[String]): Boolean = {
+  override def dropNamespace(namespace: Array[String], cascade: Boolean): Boolean = {
     checkNamespace(namespace)
     val keyspace = getKeyspaceMeta(connector, namespace)
     val dropResult = connector.withSessionDo(session => session.execute(SchemaBuilder.dropKeyspace(keyspace.getName).asCql()))

connector/src/main/scala/com/datastax/spark/connector/datasource/CassandraScanBuilder.scala

@@ -13,8 +13,9 @@ import com.datastax.spark.connector.{ColumnRef, RowCountRef, TTL, WriteTime}
 import org.apache.spark.SparkConf
 import org.apache.spark.sql.cassandra.CassandraSourceRelation.{AdditionalCassandraPushDownRulesParam, InClauseToJoinWithTableConversionThreshold}
 import org.apache.spark.sql.cassandra.{AnalyzedPredicates, Auto, BasicCassandraPredicatePushDown, CassandraPredicateRules, CassandraSourceRelation, DsePredicateRules, DseSearchOptimizationSetting, InClausePredicateRules, Off, On, SolrConstants, SolrPredicateRules, TimeUUIDPredicateRules}
+import org.apache.spark.sql.connector.expressions.{Expression, Expressions}
 import org.apache.spark.sql.connector.read._
-import org.apache.spark.sql.connector.read.partitioning.{ClusteredDistribution, Distribution, Partitioning}
+import org.apache.spark.sql.connector.read.partitioning.{KeyGroupedPartitioning, Partitioning}
 import org.apache.spark.sql.sources.{EqualTo, Filter, In}
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
@@ -307,7 +308,7 @@ case class CassandraScan(
   }
 
   override def outputPartitioning(): Partitioning = {
-    CassandraPartitioning(tableDef.partitionKey.map(_.columnName).toArray, inputPartitions.length)
+   new CassandraPartitioning(tableDef.partitionKey.map(_.columnName).map(Expressions.identity).toArray, inputPartitions.length)
   }
 
   override def description(): String = {
@@ -317,17 +318,7 @@ case class CassandraScan(
   }
 }
 
-case class CassandraPartitioning(partitionKeys: Array[String], numPartitions: Int) extends Partitioning {
-
-  /*
-    Currently we only satisfy distributions which rely on all partition key values having identical
-    values. In the future we may be able to support some other distributions but Spark doesn't have
-    means to support those atm 3.0
-  */
-  override def satisfy(distribution: Distribution): Boolean = distribution match {
-    case cD: ClusteredDistribution => partitionKeys.forall(cD.clusteredColumns.contains)
-    case _ => false
-  }
+class CassandraPartitioning(keys: Array[Expression], numPartitions: Int) extends KeyGroupedPartitioning(keys, numPartitions) {
 }
 
 case class CassandraInJoin(
@@ -359,7 +350,7 @@ case class CassandraInJoin(
   }
 
   override def outputPartitioning(): Partitioning = {
-    CassandraPartitioning(tableDef.partitionKey.map(_.columnName).toArray, numPartitions)
+    new CassandraPartitioning(tableDef.partitionKey.map(_.columnName).map(Expressions.identity).toArray, numPartitions)
   }
 }
 

connector/src/main/scala/org/apache/spark/sql/cassandra/CassandraSourceRelation.scala

@@ -211,7 +211,7 @@ object CassandraSourceRelation extends Logging {
       oldPlan.transform {
         case ds@DataSourceV2Relation(_: CassandraTable, _, _, _, options) =>
           ds.copy(options = applyDirectJoinSetting(options, directJoinSetting))
-        case ds@DataSourceV2ScanRelation(_: CassandraTable, scan: CassandraScan, _) =>
+        case ds@DataSourceV2ScanRelation(_: CassandraTable, scan: CassandraScan, _, _) =>
           ds.copy(scan = scan.copy(consolidatedConf = applyDirectJoinSetting(scan.consolidatedConf, directJoinSetting)))
       }
     )

connector/src/main/scala/org/apache/spark/sql/cassandra/execution/CassandraDirectJoinStrategy.scala

@@ -25,7 +25,7 @@ case class CassandraDirectJoinStrategy(spark: SparkSession) extends Strategy wit
   val conf = spark.sqlContext.conf
 
   override def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
-    case ExtractEquiJoinKeys(joinType, leftKeys, rightKeys, condition, left, right, _)
+    case ExtractEquiJoinKeys(joinType, leftKeys, rightKeys, condition, _, left, right, _)
       if hasValidDirectJoin(joinType, leftKeys, rightKeys, condition, left, right) =>
 
       val (otherBranch, joinTargetBranch, buildType) = {
@@ -46,7 +46,7 @@ case class CassandraDirectJoinStrategy(spark: SparkSession) extends Strategy wit
       val cassandraScanExec = getScanExec(dataSourceOptimizedPlan).get
 
       joinTargetBranch match {
-        case PhysicalOperation(attributes, _, DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _)) =>
+        case PhysicalOperation(attributes, _, DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _, _)) =>
           val directJoin =
             CassandraDirectJoinExec(
               leftKeys,
@@ -147,7 +147,7 @@ object CassandraDirectJoinStrategy extends Logging {
     */
   def getScanExec(plan: SparkPlan): Option[BatchScanExec] = {
     plan.collectFirst {
-      case exec @ BatchScanExec(_, _: CassandraScan, _) => exec
+      case exec @ BatchScanExec(_, _: CassandraScan, _, _) => exec
     }
   }
 
@@ -170,7 +170,7 @@ object CassandraDirectJoinStrategy extends Logging {
   def getDSV2CassandraRelation(plan: LogicalPlan): Option[DataSourceV2ScanRelation] = {
     val children = plan.collectLeaves()
     if (children.length == 1) {
-      plan.collectLeaves().collectFirst { case ds @ DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _) => ds }
+      plan.collectLeaves().collectFirst { case ds @ DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _, _) => ds }
     } else {
       None
     }
@@ -183,7 +183,7 @@ object CassandraDirectJoinStrategy extends Logging {
   def getCassandraTable(plan: LogicalPlan): Option[CassandraTable] = {
     val children = plan.collectLeaves()
     if (children.length == 1) {
-      children.collectFirst { case DataSourceV2ScanRelation(DataSourceV2Relation(table: CassandraTable, _, _, _, _), _, _) => table }
+      children.collectFirst { case DataSourceV2ScanRelation(DataSourceV2Relation(table: CassandraTable, _, _, _, _), _, _, _) => table }
     } else {
       None
     }
@@ -192,7 +192,7 @@ object CassandraDirectJoinStrategy extends Logging {
   def getCassandraScan(plan: LogicalPlan): Option[CassandraScan] = {
     val children = plan.collectLeaves()
     if (children.length == 1) {
-      plan.collectLeaves().collectFirst { case DataSourceV2ScanRelation(_: DataSourceV2Relation, cs: CassandraScan, _) => cs }
+      plan.collectLeaves().collectFirst { case DataSourceV2ScanRelation(_: DataSourceV2Relation, cs: CassandraScan, _, _) => cs }
     } else {
       None
     }
@@ -204,8 +204,8 @@ object CassandraDirectJoinStrategy extends Logging {
     */
   def hasCassandraChild[T <: QueryPlan[T]](plan: T): Boolean = {
     plan.children.size == 1 && plan.children.exists {
-      case DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _) => true
-      case BatchScanExec(_, _: CassandraScan, _) => true
+      case DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), _, _, _) => true
+      case BatchScanExec(_, _: CassandraScan, _, _) => true
       case _ => false
     }
   }
@@ -235,7 +235,7 @@ object CassandraDirectJoinStrategy extends Logging {
   def reorderPlan(plan: SparkPlan, directJoin: CassandraDirectJoinExec): SparkPlan = {
     val reordered = plan match {
       //This may be the only node in the Plan
-      case BatchScanExec(_, _: CassandraScan, _) => directJoin
+      case BatchScanExec(_, _: CassandraScan, _, _) => directJoin
       // Plan has children
       case normalPlan => normalPlan.transform {
         case penultimate if hasCassandraChild(penultimate) =>
@@ -292,7 +292,7 @@ object CassandraDirectJoinStrategy extends Logging {
     plan match {
       case PhysicalOperation(
         attributes, _,
-        DataSourceV2ScanRelation(DataSourceV2Relation(cassandraTable: CassandraTable, _, _, _, _), _, _)) =>
+        DataSourceV2ScanRelation(DataSourceV2Relation(cassandraTable: CassandraTable, _, _, _, _), _, _, _)) =>
 
         val joinKeysExprId = joinKeys.collect{ case attributeReference: AttributeReference => attributeReference.exprId }
 
@@ -324,7 +324,7 @@ object CassandraDirectJoinStrategy extends Logging {
   */
   def containsSafePlans(plan: LogicalPlan): Boolean = {
     plan match {
-      case PhysicalOperation(_, _, DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), scan: CassandraScan, _))
+      case PhysicalOperation(_, _, DataSourceV2ScanRelation(DataSourceV2Relation(_: CassandraTable, _, _, _, _), scan: CassandraScan, _, _))
         if getDirectJoinSetting(scan.consolidatedConf) != AlwaysOff => true
       case _ => false
     }

project/Versions.scala

@@ -21,8 +21,8 @@ object Versions {
   // and install in a local Maven repository. This is all done automatically, however it will work
   // only on Unix/OSX operating system. Windows users have to build and install Spark manually if the
   // desired version is not yet published into a public Maven repository.
-  val ApacheSpark     = "3.2.1"
-  val SparkJetty      = "9.3.27.v20190418"
+  val ApacheSpark     = "3.3.1"
+  val SparkJetty      = "9.4.48.v20220622"
   val SolrJ           = "8.3.0"
 
   /*