CarbonDatasourceHadoopRelation.scala

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 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
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 * distributed under the License is distributed on an "AS IS" BASIS,
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 * See the License for the specific language governing permissions and
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package org.apache.spark.sql

import scala.collection.JavaConverters._
import scala.collection.mutable.{ArrayBuffer, ListBuffer}
import scala.util.control.Breaks._

import org.apache.spark.CarbonInputMetrics
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.{Alias, AttributeReference, GetArrayItem, GetMapValue, GetStructField, NamedExpression}
import org.apache.spark.sql.execution.command.management.CarbonInsertIntoCommand
import org.apache.spark.sql.hive.CarbonRelation
import org.apache.spark.sql.optimizer.CarbonFilters
import org.apache.spark.sql.sources.{BaseRelation, Filter, InsertableRelation}
import org.apache.spark.sql.types.{ArrayType, StructType}
import org.apache.spark.sql.util.CarbonException

import org.apache.carbondata.core.constants.CarbonCommonConstants
import org.apache.carbondata.core.indexstore.PartitionSpec
import org.apache.carbondata.core.metadata.AbsoluteTableIdentifier
import org.apache.carbondata.core.metadata.schema.table.CarbonTable
import org.apache.carbondata.core.metadata.schema.table.column.CarbonDimension
import org.apache.carbondata.core.scan.expression.Expression
import org.apache.carbondata.core.scan.expression.logical.AndExpression
import org.apache.carbondata.hadoop.CarbonProjection
import org.apache.carbondata.spark.rdd.{CarbonScanRDD, SparkReadSupport}

case class CarbonDatasourceHadoopRelation(
    sparkSession: SparkSession,
    paths: Array[String],
    parameters: Map[String, String],
    tableSchema: Option[StructType],
    isSubquery: ArrayBuffer[Boolean] = new ArrayBuffer[Boolean]())
  extends BaseRelation with InsertableRelation {

  val caseInsensitiveMap: Map[String, String] = parameters.map(f => (f._1.toLowerCase, f._2))
  lazy val identifier: AbsoluteTableIdentifier = AbsoluteTableIdentifier.from(
    paths.head,
    CarbonEnv.getDatabaseName(caseInsensitiveMap.get("dbname"))(sparkSession),
    caseInsensitiveMap("tablename"))
  CarbonSession.updateSessionInfoToCurrentThread(sparkSession)

  @transient lazy val carbonRelation: CarbonRelation =
    CarbonEnv.getInstance(sparkSession).carbonMetaStore.
    createCarbonRelation(parameters, identifier, sparkSession)


  @transient lazy val carbonTable: CarbonTable = carbonRelation.carbonTable

  override def sqlContext: SQLContext = sparkSession.sqlContext

  override def schema: StructType = tableSchema.getOrElse(carbonRelation.schema)

  def buildScan(requiredColumns: Array[String],
      filterComplex: Seq[org.apache.spark.sql.catalyst.expressions.Expression],
      projects: Seq[NamedExpression],
      filters: Array[Filter],
      partitions: Seq[PartitionSpec]): RDD[InternalRow] = {
    val filterExpression: Option[Expression] = filters.flatMap { filter =>
      CarbonFilters.createCarbonFilter(schema, filter)
    }.reduceOption(new AndExpression(_, _))

    val projection = new CarbonProjection

    if (carbonTable.isChildDataMap) {
      val parentTableIdentifier = carbonTable.getTableInfo.getParentRelationIdentifiers.get(0)
      val path = CarbonEnv.getCarbonTable(Some(parentTableIdentifier.getDatabaseName),
        parentTableIdentifier.getTableName)(sparkSession).getTablePath
      for (carbonDimension: CarbonDimension <- carbonTable.getAllDimensions.asScala) {
        carbonDimension.getColumnSchema.getParentColumnTableRelations.get(0)
          .getRelationIdentifier.setTablePath(path)
      }
    }

    // As Filter pushdown for Complex datatype is not supported, if filter is applied on complex
    // column, then Projection pushdown on Complex Columns will not take effect. Hence, check if
    // filter contains Struct Complex Column.
    val complexFilterExists = filterComplex.map(col =>
      col.map(_.isInstanceOf[GetStructField]))

    if (!complexFilterExists.exists(f => f.contains(true))) {
      var parentColumn = new ListBuffer[String]
      // In case of Struct or StructofStruct Complex type, get the project column for given
      // parent/child field and pushdown the corresponding project column. In case of Array, Map,
      // ArrayofStruct, StructofArray, MapOfStruct or StructOfMap, pushdown parent column
      var reqColumns = projects.map {
        case a@Alias(s: GetStructField, name) =>
          var arrayOrMapTypeExists = false
          var ifGetArrayOrMapItemExists = s
          breakable({
            while (ifGetArrayOrMapItemExists.containsChild != null) {
              if (ifGetArrayOrMapItemExists.childSchema.toString().contains("ArrayType") ||
                  ifGetArrayOrMapItemExists.childSchema.toString().contains("MapType")) {
                arrayOrMapTypeExists = true
                break
              }
              if (ifGetArrayOrMapItemExists.child.isInstanceOf[AttributeReference]) {
                arrayOrMapTypeExists = s.childSchema.toString().contains("ArrayType") ||
                                       s.childSchema.toString().contains("MapType")
                break
              } else {
                if (ifGetArrayOrMapItemExists.child.isInstanceOf[GetArrayItem] ||
                    ifGetArrayOrMapItemExists.child.isInstanceOf[GetMapValue]) {
                  arrayOrMapTypeExists = true
                  break
                } else {
                  if (ifGetArrayOrMapItemExists.child.isInstanceOf[GetStructField]) {
                    ifGetArrayOrMapItemExists = ifGetArrayOrMapItemExists.child
                      .asInstanceOf[GetStructField]
                  } else {
                    arrayOrMapTypeExists = true
                    break
                  }
                }
              }
            }
          })
          if (!arrayOrMapTypeExists) {
            parentColumn += s.toString().split("\\.")(0).replaceAll("#.*", "").toLowerCase
            parentColumn = parentColumn.distinct
            s.toString().replaceAll("#[0-9]*", "").toLowerCase
          } else {
            s.toString().split("\\.")(0).replaceAll("#.*", "").toLowerCase
          }
        case a@Alias(s: GetArrayItem, name) =>
          s.toString().split("\\.")(0).replaceAll("#.*", "").toLowerCase
        case attributeReference: AttributeReference =>
          var columnName: String = attributeReference.name
          requiredColumns.foreach(colName =>
            if (colName.equalsIgnoreCase(attributeReference.name)) {
              columnName = colName
            })
          columnName
        case other =>
          None
      }

      reqColumns = reqColumns.filter(col => !col.equals(None))
      var output = new ListBuffer[String]

      if (null != requiredColumns && requiredColumns.nonEmpty) {
        requiredColumns.foreach(col => {

          if (null != reqColumns && reqColumns.nonEmpty) {
            reqColumns.foreach(reqCol => {
              if (!reqCol.toString.equalsIgnoreCase(col) &&
                  !reqCol.toString.startsWith(col.toLowerCase + ".") &&
                  !parentColumn.contains(col.toLowerCase)) {
                output += col
              } else {
                output += reqCol.toString
              }
            })
          } else {
            output += col
          }
          output = output.map(_.toLowerCase).distinct
        })
      }
      output.toArray.foreach(projection.addColumn)
    } else {
      requiredColumns.foreach(projection.addColumn)
    }

    CarbonSession.threadUnset(CarbonCommonConstants.SUPPORT_DIRECT_QUERY_ON_DATAMAP)
    val inputMetricsStats: CarbonInputMetrics = new CarbonInputMetrics
    new CarbonScanRDD(
      sparkSession,
      projection,
      filterExpression.orNull,
      identifier,
      carbonTable.getTableInfo.serialize(),
      carbonTable.getTableInfo,
      inputMetricsStats,
      partitions)
  }

  override def unhandledFilters(filters: Array[Filter]): Array[Filter] = new Array[Filter](0)

  override def toString: String = {
    "carbondata"
  }

  override def sizeInBytes: Long = carbonRelation.sizeInBytes

  override def insert(data: DataFrame, overwrite: Boolean): Unit = {
    if (carbonRelation.output.size > CarbonCommonConstants.DEFAULT_MAX_NUMBER_OF_COLUMNS) {
      CarbonException.analysisException("Maximum supported column by carbon is: " +
        CarbonCommonConstants.DEFAULT_MAX_NUMBER_OF_COLUMNS)
    }
    if (data.logicalPlan.output.size >= carbonRelation.output.size) {
      CarbonInsertIntoCommand(this, data.logicalPlan, overwrite, Map.empty).run(sparkSession)
    } else {
      CarbonException.analysisException(
        "Cannot insert into target table because number of columns mismatch")
    }
  }

}