removing the columnFamilyAccumulator

sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StatefulProcessorHandleImpl.scala

@@ -85,7 +85,7 @@ class StatefulProcessorHandleImpl(
     isStreaming: Boolean = true,
     batchTimestampMs: Option[Long] = None,
     metrics: Map[String, SQLMetric] = Map.empty,
-    existingColFamilies: Map[String, ColumnFamilyAccumulator] = Map.empty)
+    existingColFamilies: Map[String, ColumnFamilySchemaV1] = Map.empty)
   extends StatefulProcessorHandle with Logging {
   import StatefulProcessorHandleState._
 

sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/TransformWithStateExec.scala

@@ -93,19 +93,19 @@ case class TransformWithStateExec(
       "operatorPropsFromExecutor"
     )
 
-  private lazy val colFamilyAccumulators: Map[String, ColumnFamilyAccumulator] =
+  private lazy val colFamilySchemas: Map[String, ColumnFamilySchemaV1] =
     initializeColFamilyAccumulators()
 
-  private def initializeColFamilyAccumulators(): Map[String, ColumnFamilyAccumulator] = {
+  private def initializeColFamilyAccumulators(): Map[String, ColumnFamilySchemaV1] = {
     val stateCheckpointPath = new Path(stateInfo.get.checkpointLocation,
       getStateInfo.operatorId.toString)
     val hadoopConf = session.sqlContext.sessionState.newHadoopConf()
 
     val reader = new SchemaV3Reader(stateCheckpointPath, hadoopConf)
 
     reader.read.map { colFamilyMetadata =>
-      val acc = ColumnFamilyAccumulator.create(colFamilyMetadata, sparkContext)
-      colFamilyMetadata.asInstanceOf[ColumnFamilySchemaV1].columnFamilyName -> acc
+      val schemaV1 = colFamilyMetadata.asInstanceOf[ColumnFamilySchemaV1]
+      schemaV1.columnFamilyName -> schemaV1
     }.toMap
   }
 
@@ -430,7 +430,7 @@ case class TransformWithStateExec(
 
   override protected def doExecute(): RDD[InternalRow] = {
     metrics // force lazy init at driver
-    colFamilyAccumulators
+    colFamilySchemas
 
     validateTimeMode()
 
@@ -549,7 +549,7 @@ case class TransformWithStateExec(
     CompletionIterator[InternalRow, Iterator[InternalRow]] = {
     val processorHandle = new StatefulProcessorHandleImpl(
       store, getStateInfo.queryRunId, keyEncoder, timeMode,
-      isStreaming, batchTimestampMs, metrics, colFamilyAccumulators)
+      isStreaming, batchTimestampMs, metrics, colFamilySchemas)
     assert(processorHandle.getHandleState == StatefulProcessorHandleState.CREATED)
     statefulProcessor.setHandle(processorHandle)
     statefulProcessor.init(outputMode, timeMode)

sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/SchemaHelper.scala

@@ -26,10 +26,9 @@ import org.json4s.JsonDSL._
 import org.json4s.jackson.JsonMethods
 import org.json4s.jackson.JsonMethods.{compact, render}
 
-import org.apache.spark.SparkContext
 import org.apache.spark.sql.execution.streaming.{CheckpointFileManager, MetadataVersionUtil}
 import org.apache.spark.sql.types.StructType
-import org.apache.spark.util.{AccumulatorV2, Utils}
+import org.apache.spark.util.Utils
 
 sealed trait ColumnFamilySchema extends Serializable {
   def jsonValue: JsonAST.JObject
@@ -56,63 +55,6 @@ case class ColumnFamilySchemaV1(
     }
 }
 
-class ColumnFamilyAccumulator(
-    columnFamilyMetadata: ColumnFamilySchema) extends
-  AccumulatorV2[ColumnFamilySchema, ColumnFamilySchema] {
-
-  private var _value: ColumnFamilySchema = columnFamilyMetadata
-  /**
-   * Returns if this accumulator is zero value or not. e.g. for a counter accumulator, 0 is zero
-   * value; for a list accumulator, Nil is zero value.
-   */
-  override def isZero: Boolean = _value == null
-
-  /**
-   * Creates a new copy of this accumulator.
-   */
-  override def copy(): AccumulatorV2[ColumnFamilySchema, ColumnFamilySchema] = {
-    new ColumnFamilyAccumulator(_value)
-  }
-
-  /**
-   * Resets this accumulator, which is zero value. i.e. call `isZero` must
-   * return true.
-   */
-  override def reset(): Unit = {
-    _value = null
-  }
-
-  /**
-   * Takes the inputs and accumulates.
-   */
-  override def add(v: ColumnFamilySchema): Unit = {
-    _value = v
-  }
-
-  /**
-   * Merges another same-type accumulator into this one and update its state, i.e. this should be
-   * merge-in-place.
-   */
-  override def merge(other: AccumulatorV2[ColumnFamilySchema, ColumnFamilySchema]): Unit = {
-    _value = other.value
-  }
-
-  /**
-   * Defines the current value of this accumulator
-   */
-  override def value: ColumnFamilySchema = _value
-}
-
-object ColumnFamilyAccumulator {
-  def create(
-              columnFamilyMetadata: ColumnFamilySchema,
-              sparkContext: SparkContext): ColumnFamilyAccumulator = {
-    val acc = new ColumnFamilyAccumulator(columnFamilyMetadata)
-    acc.register(sparkContext)
-    acc
-  }
-}
-
 object ColumnFamilySchemaV1 {
   def fromJson(json: List[Map[String, Any]]): List[ColumnFamilySchema] = {
     assert(json.isInstanceOf[List[_]])