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org.apache.spark.sql.execution

FileSourceScanExec

case class FileSourceScanExec(relation: HadoopFsRelation, output: Seq[Attribute], requiredSchema: StructType, partitionFilters: Seq[Expression], optionalBucketSet: Option[BitSet], optionalNumCoalescedBuckets: Option[Int], dataFilters: Seq[Expression], tableIdentifier: Option[TableIdentifier], disableBucketedScan: Boolean = false) extends SparkPlan with DataSourceScanExec with Product with Serializable

Physical plan node for scanning data from HadoopFsRelations.

relation

The file-based relation to scan.

output

Output attributes of the scan, including data attributes and partition attributes.

requiredSchema

Required schema of the underlying relation, excluding partition columns.

partitionFilters

Predicates to use for partition pruning.

optionalBucketSet

Bucket ids for bucket pruning.

optionalNumCoalescedBuckets

Number of coalesced buckets.

dataFilters

Filters on non-partition columns.

tableIdentifier

Identifier for the table in the metastore.

disableBucketedScan

Disable bucketed scan based on physical query plan, see rule DisableUnnecessaryBucketedScan for details.

Linear Supertypes
DataSourceScanExec, LeafExecNode, SparkPlan, Serializable, Serializable, Logging, QueryPlan[SparkPlan], SQLConfHelper, TreeNode[SparkPlan], Product, Equals, AnyRef, Any
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Inherited
  1. FileSourceScanExec
  2. DataSourceScanExec
  3. LeafExecNode
  4. SparkPlan
  5. Serializable
  6. Serializable
  7. Logging
  8. QueryPlan
  9. SQLConfHelper
  10. TreeNode
  11. Product
  12. Equals
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new FileSourceScanExec(relation: HadoopFsRelation, output: Seq[Attribute], requiredSchema: StructType, partitionFilters: Seq[Expression], optionalBucketSet: Option[BitSet], optionalNumCoalescedBuckets: Option[Int], dataFilters: Seq[Expression], tableIdentifier: Option[TableIdentifier], disableBucketedScan: Boolean = false)

    relation

    The file-based relation to scan.

    output

    Output attributes of the scan, including data attributes and partition attributes.

    requiredSchema

    Required schema of the underlying relation, excluding partition columns.

    partitionFilters

    Predicates to use for partition pruning.

    optionalBucketSet

    Bucket ids for bucket pruning.

    optionalNumCoalescedBuckets

    Number of coalesced buckets.

    dataFilters

    Filters on non-partition columns.

    tableIdentifier

    Identifier for the table in the metastore.

    disableBucketedScan

    Disable bucketed scan based on physical query plan, see rule DisableUnnecessaryBucketedScan for details.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. lazy val allAttributes: AttributeSeq
    Definition Classes
    QueryPlan
  5. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  6. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  7. def asCode: String
    Definition Classes
    TreeNode
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. lazy val bucketedScan: Boolean
  10. final lazy val canonicalized: SparkPlan
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  11. final def children: Seq[SparkPlan]
    Definition Classes
    LeafExecNode → TreeNode
  12. def cleanupResources(): Unit

    Cleans up the resources used by the physical operator (if any).

    Cleans up the resources used by the physical operator (if any). In general, all the resources should be cleaned up when the task finishes but operators like SortMergeJoinExec and LimitExec may want eager cleanup to free up tight resources (e.g., memory).

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  13. def clone(): SparkPlan
    Definition Classes
    TreeNode → AnyRef
  14. def collect[B](pf: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    TreeNode
  15. def collectFirst[B](pf: PartialFunction[SparkPlan, B]): Option[B]
    Definition Classes
    TreeNode
  16. def collectLeaves(): Seq[SparkPlan]
    Definition Classes
    TreeNode
  17. def collectWithSubqueries[B](f: PartialFunction[SparkPlan, B]): Seq[B]
    Definition Classes
    QueryPlan
  18. def conf: SQLConf
    Definition Classes
    SQLConfHelper
  19. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  20. def copyTagsFrom(other: SparkPlan): Unit
    Definition Classes
    TreeNode
  21. val dataFilters: Seq[Expression]
  22. val disableBucketedScan: Boolean
  23. def doCanonicalize(): FileSourceScanExec
    Definition Classes
    FileSourceScanExec → QueryPlan
  24. def doExecute(): RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Produces the result of the query as an RDD[InternalRow]

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected
    Definition Classes
    FileSourceScanExec → SparkPlan
  25. def doExecuteBroadcast[T](): Broadcast[T]

    Produces the result of the query as a broadcast variable.

    Produces the result of the query as a broadcast variable.

    Overridden by concrete implementations of SparkPlan.

    Attributes
    protected[sql]
    Definition Classes
    SparkPlan
  26. def doExecuteColumnar(): RDD[ColumnarBatch]

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true.

    Produces the result of the query as an RDD[ColumnarBatch] if supportsColumnar returns true. By convention the executor that creates a ColumnarBatch is responsible for closing it when it is no longer needed. This allows input formats to be able to reuse batches if needed.

    Attributes
    protected
    Definition Classes
    FileSourceScanExec → SparkPlan
  27. def doPrepare(): Unit

    Overridden by concrete implementations of SparkPlan.

    Overridden by concrete implementations of SparkPlan. It is guaranteed to run before any execute of SparkPlan. This is helpful if we want to set up some state before executing the query, e.g., BroadcastHashJoin uses it to broadcast asynchronously.

    Attributes
    protected
    Definition Classes
    SparkPlan
    Note

    prepare method has already walked down the tree, so the implementation doesn't have to call children's prepare methods. This will only be called once, protected by this.

  28. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  29. final def execute(): RDD[InternalRow]

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Returns the result of this query as an RDD[InternalRow] by delegating to doExecute after preparations.

    Concrete implementations of SparkPlan should override doExecute.

    Definition Classes
    SparkPlan
  30. final def executeBroadcast[T](): Broadcast[T]

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Returns the result of this query as a broadcast variable by delegating to doExecuteBroadcast after preparations.

    Concrete implementations of SparkPlan should override doExecuteBroadcast.

    Definition Classes
    SparkPlan
  31. def executeCollect(): Array[InternalRow]

    Runs this query returning the result as an array.

    Runs this query returning the result as an array.

    Definition Classes
    SparkPlan
  32. def executeCollectPublic(): Array[Row]

    Runs this query returning the result as an array, using external Row format.

    Runs this query returning the result as an array, using external Row format.

    Definition Classes
    SparkPlan
  33. final def executeColumnar(): RDD[ColumnarBatch]

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Returns the result of this query as an RDD[ColumnarBatch] by delegating to doColumnarExecute after preparations.

    Concrete implementations of SparkPlan should override doColumnarExecute if supportsColumnar returns true.

    Definition Classes
    SparkPlan
  34. final def executeQuery[T](query: ⇒ T): T

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Executes a query after preparing the query and adding query plan information to created RDDs for visualization.

    Attributes
    protected
    Definition Classes
    SparkPlan
  35. def executeTail(n: Int): Array[InternalRow]

    Runs this query returning the last n rows as an array.

    Runs this query returning the last n rows as an array.

    This is modeled after RDD.take but never runs any job locally on the driver.

    Definition Classes
    SparkPlan
  36. def executeTake(n: Int): Array[InternalRow]

    Runs this query returning the first n rows as an array.

    Runs this query returning the first n rows as an array.

    This is modeled after RDD.take but never runs any job locally on the driver.

    Definition Classes
    SparkPlan
  37. def executeToIterator(): Iterator[InternalRow]

    Runs this query returning the result as an iterator of InternalRow.

    Runs this query returning the result as an iterator of InternalRow.

    Definition Classes
    SparkPlan
    Note

    Triggers multiple jobs (one for each partition).

  38. final def expressions: Seq[Expression]
    Definition Classes
    QueryPlan
  39. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  40. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  41. def find(f: (SparkPlan) ⇒ Boolean): Option[SparkPlan]
    Definition Classes
    TreeNode
  42. def flatMap[A](f: (SparkPlan) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  43. def foreach(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  44. def foreachUp(f: (SparkPlan) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  45. def formattedNodeName: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  46. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  47. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  48. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  49. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  50. val id: Int
    Definition Classes
    SparkPlan
  51. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  52. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def innerChildren: Seq[QueryPlan[_]]
    Definition Classes
    QueryPlan → TreeNode
  54. lazy val inputRDD: RDD[InternalRow]
  55. def inputRDDs(): Seq[RDD[InternalRow]]

    The data being read in.

    The data being read in. This is to provide input to the tests in a way compatible with InputRDDCodegen which all implementations used to extend.

    Definition Classes
    FileSourceScanExec → DataSourceScanExec
  56. def inputSet: AttributeSet
    Definition Classes
    QueryPlan
  57. def isCanonicalizedPlan: Boolean
    Attributes
    protected
    Definition Classes
    QueryPlan
  58. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  59. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  60. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  61. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  62. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  69. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logicalLink: Option[LogicalPlan]

    returns

    The logical plan this plan is linked to.

    Definition Classes
    SparkPlan
  74. def longMetric(name: String): SQLMetric

    returns

    SQLMetric for the name.

    Definition Classes
    SparkPlan
  75. def makeCopy(newArgs: Array[AnyRef]): SparkPlan

    Overridden make copy also propagates sqlContext to copied plan.

    Overridden make copy also propagates sqlContext to copied plan.

    Definition Classes
    SparkPlan → TreeNode
  76. def map[A](f: (SparkPlan) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  77. def mapChildren(f: (SparkPlan) ⇒ SparkPlan): SparkPlan
    Definition Classes
    TreeNode
  78. def mapExpressions(f: (Expression) ⇒ Expression): FileSourceScanExec.this.type
    Definition Classes
    QueryPlan
  79. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  80. val maxMetadataValueLength: Int
    Attributes
    protected
    Definition Classes
    DataSourceScanExec
  81. lazy val metadata: Map[String, String]
    Definition Classes
    FileSourceScanExec → DataSourceScanExec
  82. lazy val metrics: Map[String, SQLMetric]

    returns

    All metrics containing metrics of this SparkPlan.

    Definition Classes
    FileSourceScanExec → SparkPlan
  83. final def missingInput: AttributeSet
    Definition Classes
    QueryPlan
  84. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  85. val nodeName: String
    Definition Classes
    DataSourceScanExec → TreeNode
  86. val nodeNamePrefix: String
    Definition Classes
    FileSourceScanExec → DataSourceScanExec
  87. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  88. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  89. def numberedTreeString: String
    Definition Classes
    TreeNode
  90. val optionalBucketSet: Option[BitSet]
  91. val optionalNumCoalescedBuckets: Option[Int]
  92. val origin: Origin
    Definition Classes
    TreeNode
  93. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  94. val output: Seq[Attribute]
    Definition Classes
    FileSourceScanExec → QueryPlan
  95. lazy val outputOrdering: Seq[SortOrder]

    Specifies how data is ordered in each partition.

    Specifies how data is ordered in each partition.

    Definition Classes
    FileSourceScanExec → SparkPlan
  96. lazy val outputPartitioning: Partitioning

    Specifies how data is partitioned across different nodes in the cluster.

    Specifies how data is partitioned across different nodes in the cluster. Note this method may fail if it is invoked before EnsureRequirements is applied since PartitioningCollection requires all its partitionings to have the same number of partitions.

    Definition Classes
    FileSourceScanExec → SparkPlan
  97. lazy val outputSet: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  98. def p(number: Int): SparkPlan
    Definition Classes
    TreeNode
  99. val partitionFilters: Seq[Expression]
  100. final def prepare(): Unit

    Prepares this SparkPlan for execution.

    Prepares this SparkPlan for execution. It's idempotent.

    Definition Classes
    SparkPlan
  101. def prepareSubqueries(): Unit

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Finds scalar subquery expressions in this plan node and starts evaluating them.

    Attributes
    protected
    Definition Classes
    SparkPlan
  102. def prettyJson: String
    Definition Classes
    TreeNode
  103. def printSchema(): Unit
    Definition Classes
    QueryPlan
  104. def producedAttributes: AttributeSet
    Definition Classes
    LeafExecNode → QueryPlan
  105. def redact(text: String): String

    Shorthand for calling redactString() without specifying redacting rules

    Shorthand for calling redactString() without specifying redacting rules

    Attributes
    protected
    Definition Classes
    DataSourceScanExec
  106. lazy val references: AttributeSet
    Definition Classes
    QueryPlan
    Annotations
    @transient()
  107. val relation: HadoopFsRelation
    Definition Classes
    FileSourceScanExec → DataSourceScanExec
  108. def requiredChildDistribution: Seq[Distribution]

    Specifies the data distribution requirements of all the children for this operator.

    Specifies the data distribution requirements of all the children for this operator. By default it's UnspecifiedDistribution for each child, which means each child can have any distribution.

    If an operator overwrites this method, and specifies distribution requirements(excluding UnspecifiedDistribution and BroadcastDistribution) for more than one child, Spark guarantees that the outputs of these children will have same number of partitions, so that the operator can safely zip partitions of these children's result RDDs. Some operators can leverage this guarantee to satisfy some interesting requirement, e.g., non-broadcast joins can specify HashClusteredDistribution(a,b) for its left child, and specify HashClusteredDistribution(c,d) for its right child, then it's guaranteed that left and right child are co-partitioned by a,b/c,d, which means tuples of same value are in the partitions of same index, e.g., (a=1,b=2) and (c=1,d=2) are both in the second partition of left and right child.

    Definition Classes
    SparkPlan
  109. def requiredChildOrdering: Seq[Seq[SortOrder]]

    Specifies sort order for each partition requirements on the input data for this operator.

    Specifies sort order for each partition requirements on the input data for this operator.

    Definition Classes
    SparkPlan
  110. val requiredSchema: StructType
  111. def resetMetrics(): Unit

    Resets all the metrics.

    Resets all the metrics.

    Definition Classes
    SparkPlan
  112. final def sameResult(other: SparkPlan): Boolean
    Definition Classes
    QueryPlan
  113. lazy val schema: StructType
    Definition Classes
    QueryPlan
  114. def schemaString: String
    Definition Classes
    QueryPlan
  115. lazy val selectedPartitions: Array[PartitionDirectory]
    Annotations
    @transient()
  116. final def semanticHash(): Int
    Definition Classes
    QueryPlan
  117. def setLogicalLink(logicalPlan: LogicalPlan): Unit

    Set logical plan link recursively if unset.

    Set logical plan link recursively if unset.

    Definition Classes
    SparkPlan
  118. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  119. def simpleString(maxFields: Int): String
    Definition Classes
    DataSourceScanExec → QueryPlan → TreeNode
  120. def simpleStringWithNodeId(): String
    Definition Classes
    QueryPlan → TreeNode
  121. def sparkContext: SparkContext
    Attributes
    protected
    Definition Classes
    SparkPlan
  122. final val sqlContext: SQLContext

    A handle to the SQL Context that was used to create this plan.

    A handle to the SQL Context that was used to create this plan. Since many operators need access to the sqlContext for RDD operations or configuration this field is automatically populated by the query planning infrastructure.

    Definition Classes
    SparkPlan
  123. def statePrefix: String
    Attributes
    protected
    Definition Classes
    QueryPlan
  124. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  125. def subqueries: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  126. def subqueriesAll: Seq[SparkPlan]
    Definition Classes
    QueryPlan
  127. lazy val supportsColumnar: Boolean

    Return true if this stage of the plan supports columnar execution.

    Return true if this stage of the plan supports columnar execution.

    Definition Classes
    FileSourceScanExec → SparkPlan
  128. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  129. val tableIdentifier: Option[TableIdentifier]
    Definition Classes
    FileSourceScanExec → DataSourceScanExec
  130. def toJSON: String
    Definition Classes
    TreeNode
  131. def toString(): String
    Definition Classes
    TreeNode → AnyRef → Any
  132. def transform(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  133. def transformAllExpressions(rule: PartialFunction[Expression, Expression]): FileSourceScanExec.this.type
    Definition Classes
    QueryPlan
  134. def transformDown(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  135. def transformExpressions(rule: PartialFunction[Expression, Expression]): FileSourceScanExec.this.type
    Definition Classes
    QueryPlan
  136. def transformExpressionsDown(rule: PartialFunction[Expression, Expression]): FileSourceScanExec.this.type
    Definition Classes
    QueryPlan
  137. def transformExpressionsUp(rule: PartialFunction[Expression, Expression]): FileSourceScanExec.this.type
    Definition Classes
    QueryPlan
  138. def transformUp(rule: PartialFunction[SparkPlan, SparkPlan]): SparkPlan
    Definition Classes
    TreeNode
  139. def transformUpWithNewOutput(rule: PartialFunction[SparkPlan, (SparkPlan, Seq[(Attribute, Attribute)])], skipCond: (SparkPlan) ⇒ Boolean, canGetOutput: (SparkPlan) ⇒ Boolean): SparkPlan
    Definition Classes
    QueryPlan
  140. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  141. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  142. final def treeString: String
    Definition Classes
    TreeNode
  143. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  144. def vectorTypes: Option[Seq[String]]

    The exact java types of the columns that are output in columnar processing mode.

    The exact java types of the columns that are output in columnar processing mode. This is a performance optimization for code generation and is optional.

    Definition Classes
    FileSourceScanExec → SparkPlan
  145. def verboseString(maxFields: Int): String
    Definition Classes
    QueryPlan → TreeNode
  146. def verboseStringWithOperatorId(): String
    Definition Classes
    FileSourceScanExec → DataSourceScanExec → LeafExecNode → QueryPlan
  147. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  148. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  149. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  150. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  151. def waitForSubqueries(): Unit

    Blocks the thread until all subqueries finish evaluation and update the results.

    Blocks the thread until all subqueries finish evaluation and update the results.

    Attributes
    protected
    Definition Classes
    SparkPlan
  152. def withNewChildren(newChildren: Seq[SparkPlan]): SparkPlan
    Definition Classes
    TreeNode

Inherited from DataSourceScanExec

Inherited from LeafExecNode

Inherited from SparkPlan

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from QueryPlan[SparkPlan]

Inherited from SQLConfHelper

Inherited from TreeNode[SparkPlan]

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped