Scala InternalRow类代码示例

本文整理汇总了Scala中org.apache.spark.sql.catalyst.InternalRow类的典型用法代码示例。如果您正苦于以下问题：Scala InternalRow类的具体用法？Scala InternalRow怎么用？Scala InternalRow使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

在下文中一共展示了InternalRow类的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Scala代码示例。

示例1: TreeBloom

//设置package包名称以及导入依赖的类
import org.apache.spark.util.sketch.BloomFilter
import org.apache.spark.sql._
import org.apache.spark.sql.catalyst.InternalRow
import Main.sc

object TreeBloom {
  // Implements bloom filter using treeAggregate instead of aggregate
  // See https://issues.apache.org/jira/browse/SPARK-21039
  def bloomFilter(singleCol: DataFrame, expectedNumItems:Long, fpp:Double): BloomFilter = {
    val zero = BloomFilter.create(expectedNumItems, fpp)
    sc.setJobGroup("bloomFilter", "Bloom filter creation")
    singleCol.queryExecution.toRdd.treeAggregate(zero)(
      (filter: BloomFilter, row: InternalRow) => {
        filter.putLong(row.getInt(0))
        filter
      },
      (filter1, filter2) => filter1.mergeInPlace(filter2)
    )
  }
}

开发者ID:lovasoa，项目名称:spark-joinapp，代码行数:21，代码来源:TreeBloom.scala

示例2: TextualUtil

//设置package包名称以及导入依赖的类
package edu.utah.cs.simba.util

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.{Attribute, BindReferences, Expression}
import org.apache.spark.sql.catalyst.util.ArrayData

import scala.collection.mutable


object TextualUtil {
  def simFilter(leftText: ArrayData, rightText:ArrayData, sim: Double): Boolean = {
    val l = leftText.numElements()
    val r = rightText.numElements()
    if(sim * l > r || sim * r > l ) return false
    var sameText = 0
    val data = mutable.Set[String]()
    var i = 0
    while (i < l) {
      data.add(leftText.getUTF8String(i).toString)
      i += 1
    }
    var j = 0
    while (j < r){
      val tmp_str = rightText.getUTF8String(j).toString
      if(data.contains(tmp_str)) sameText += 1
      else data.add(tmp_str)
      j += 1
    }
    if(sameText/1.0/data.size >= sim) return true
    false
  }

  def getText(expression: Expression, schema: Seq[Attribute], input: InternalRow): ArrayData = {
    BindReferences.bindReference(expression, schema).eval(input).asInstanceOf[ArrayData]
  }
}

开发者ID:zdccc，项目名称:SimbaExpand，代码行数:37，代码来源:TextualUtil.scala

示例3: PointZMUDT

//设置package包名称以及导入依赖的类
package com.esri.udt

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericMutableRow
import org.apache.spark.sql.types._


class PointZMUDT extends UserDefinedType[PointZMType] {

  override def sqlType: DataType = StructType(Seq(
    StructField("x", DoubleType, false),
    StructField("y", DoubleType, false),
    StructField("z", DoubleType, false),
    StructField("m", DoubleType, false)
  ))

  override def serialize(obj: Any): InternalRow = {
    obj match {
      case PointZMType(x, y, z, m) => {
        val row = new GenericMutableRow(4)
        row.setDouble(0, x)
        row.setDouble(1, y)
        row.setDouble(2, z)
        row.setDouble(3, m)
        row
      }
    }
  }

  override def deserialize(datum: Any): PointZMType = {
    datum match {
      case row: InternalRow => PointZMType(row.getDouble(0), row.getDouble(1), row.getDouble(2), row.getDouble(3))
    }
  }

  override def userClass: Class[PointZMType] = classOf[PointZMType]

  override def pyUDT: String = "com.esri.udt.PointZMUDT"

  override def typeName: String = "pointZM"

  override def equals(o: Any): Boolean = {
    o match {
      case v: PointZMUDT => true
      case _ => false
    }
  }

  // see [SPARK-8647], this achieves the needed constant hash code without constant no.
  override def hashCode(): Int = classOf[PointZMUDT].getName.hashCode()

  override def asNullable: PointZMUDT = this

}

开发者ID:mraad，项目名称:spark-gdb，代码行数:55，代码来源:PointZMUDT.scala

示例4: PointMUDT

//设置package包名称以及导入依赖的类
package com.esri.udt

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericMutableRow
import org.apache.spark.sql.types._


class PointMUDT extends UserDefinedType[PointMType] {

  override def sqlType: DataType = StructType(Seq(
    StructField("x", DoubleType, false),
    StructField("y", DoubleType, false),
    StructField("m", DoubleType, false)
  ))

  override def serialize(obj: Any): InternalRow = {
    obj match {
      case PointMType(x, y, m) => {
        val row = new GenericMutableRow(3)
        row.setDouble(0, x)
        row.setDouble(1, y)
        row.setDouble(2, m)
        row
      }
    }
  }

  override def deserialize(datum: Any): PointMType = {
    datum match {
      case row: InternalRow => PointMType(row.getDouble(0), row.getDouble(1), row.getDouble(2))
    }
  }

  override def userClass: Class[PointMType] = classOf[PointMType]

  override def pyUDT: String = "com.esri.udt.PointMUDT"

  override def typeName: String = "pointM"

  override def equals(o: Any): Boolean = {
    o match {
      case v: PointMUDT => true
      case _ => false
    }
  }

  // see [SPARK-8647], this achieves the needed constant hash code without constant no.
  override def hashCode(): Int = classOf[PointMUDT].getName.hashCode()

  override def asNullable: PointMUDT = this

}

开发者ID:mraad，项目名称:spark-gdb，代码行数:53，代码来源:PointMUDT.scala

示例5: PointZUDT

//设置package包名称以及导入依赖的类
package com.esri.udt

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericMutableRow
import org.apache.spark.sql.types._


class PointZUDT extends UserDefinedType[PointZType] {

  override def sqlType: DataType = StructType(Seq(
    StructField("x", DoubleType, false),
    StructField("y", DoubleType, false),
    StructField("z", DoubleType, false)
  ))

  override def serialize(obj: Any): InternalRow = {
    obj match {
      case PointZType(x, y, z) => {
        val row = new GenericMutableRow(3)
        row.setDouble(0, x)
        row.setDouble(1, y)
        row.setDouble(2, z)
        row
      }
    }
  }

  override def deserialize(datum: Any): PointZType = {
    datum match {
      case row: InternalRow => PointZType(row.getDouble(0), row.getDouble(1), row.getDouble(2))
    }
  }

  override def userClass: Class[PointZType] = classOf[PointZType]

  override def pyUDT: String = "com.esri.udt.PointZUDT"

  override def typeName: String = "pointZ"

  override def equals(o: Any): Boolean = {
    o match {
      case v: PointZUDT => true
      case _ => false
    }
  }

  // see [SPARK-8647], this achieves the needed constant hash code without constant no.
  override def hashCode(): Int = classOf[PointZUDT].getName.hashCode()

  override def asNullable: PointZUDT = this

}

开发者ID:mraad，项目名称:spark-gdb，代码行数:53，代码来源:PointZUDT.scala

示例6: PointUDT

//设置package包名称以及导入依赖的类
package com.esri.udt

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericMutableRow
import org.apache.spark.sql.types._


class PointUDT extends UserDefinedType[PointType] {

  override def sqlType: DataType = StructType(Seq(
    StructField("x", DoubleType, false),
    StructField("y", DoubleType, false)
  ))

  override def serialize(obj: Any): InternalRow = {
    obj match {
      case PointType(x, y) => {
        val row = new GenericMutableRow(2)
        row.setDouble(0, x)
        row.setDouble(1, y)
        row
      }
    }
  }

  override def deserialize(datum: Any): PointType = {
    datum match {
      case row: InternalRow => PointType(row.getDouble(0), row.getDouble(1))
    }
  }

  override def userClass: Class[PointType] = classOf[PointType]

  override def pyUDT: String = "com.esri.udt.PointUDT"

  override def typeName: String = "point"

  override def equals(o: Any): Boolean = {
    o match {
      case v: PointUDT => true
      case _ => false
    }
  }

  // see [SPARK-8647], this achieves the needed constant hash code without constant no.
  override def hashCode(): Int = classOf[PointUDT].getName.hashCode()

  override def asNullable: PointUDT = this

}

开发者ID:mraad，项目名称:spark-gdb，代码行数:51，代码来源:PointUDT.scala

示例7: DefaultSource

//设置package包名称以及导入依赖的类
package pl.jborkowskijmartin.spark.mf

import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.FileStatus
import org.apache.hadoop.mapreduce.Job
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.execution.datasources.{FileFormat, OutputWriterFactory, PartitionedFile}
import org.apache.spark.sql.sources.Filter
import org.apache.spark.sql.types.{StringType, StructField, StructType}
import org.apache.spark.unsafe.types.UTF8String


class DefaultSource extends FileFormat {
  override def inferSchema(sparkSession: SparkSession, options: Map[String, String], files: Seq[FileStatus]):
  Option[StructType] = {
    println(">>>InferSchema")
    Some(StructType(
      StructField("line", StringType, nullable = true) :: Nil
    ))
  }

  override def prepareWrite(sparkSession: SparkSession, job: Job, options: Map[String, String], dataSchema: StructType):
  OutputWriterFactory = {
    println(">>> prepareWrite")
    null
  }

  override def buildReader(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType,
                           requiredSchema: StructType, filters: Seq[Filter], options: Map[String, String],
                           hadoopConf: Configuration): (PartitionedFile) => Iterator[InternalRow] = {
    pf => Iterator(InternalRow(UTF8String.fromString("hello")))
  }
}

开发者ID:jborkowski，项目名称:plugin-for-jacek，代码行数:35，代码来源:DefaultSource.scala

注：本文中的org.apache.spark.sql.catalyst.InternalRow类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。