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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* 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
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.hive.orc
import java.io.File
import scala.reflect.ClassTag
import scala.reflect.runtime.universe.TypeTag
import org.apache.spark.sql._
import org.apache.spark.sql.hive.test.TestHiveSingleton
import org.apache.spark.sql.test.SQLTestUtils
private[sql] trait OrcTest extends SQLTestUtils with TestHiveSingleton {
import testImplicits._
/**
* Writes `data` to a Orc file, which is then passed to `f` and will be deleted after `f`
* returns.
*/
protected def withOrcFile[T <: Product: ClassTag: TypeTag]
(data: Seq[T])
(f: String => Unit): Unit = {
withTempPath { file =>
sparkContext.parallelize(data).toDF().write.orc(file.getCanonicalPath)
f(file.getCanonicalPath)
}
}
/**
* Writes `data` to a Orc file and reads it back as a `DataFrame`,
* which is then passed to `f`. The Orc file will be deleted after `f` returns.
*/
protected def withOrcDataFrame[T <: Product: ClassTag: TypeTag]
(data: Seq[T])
(f: DataFrame => Unit): Unit = {
withOrcFile(data)(path => f(spark.read.orc(path)))
}
/**
* Writes `data` to a Orc file, reads it back as a `DataFrame` and registers it as a
* temporary table named `tableName`, then call `f`. The temporary table together with the
* Orc file will be dropped/deleted after `f` returns.
*/
protected def withOrcTable[T <: Product: ClassTag: TypeTag]
(data: Seq[T], tableName: String)
(f: => Unit): Unit = {
withOrcDataFrame(data) { df =>
df.createOrReplaceTempView(tableName)
withTempView(tableName)(f)
}
}
protected def makeOrcFile[T <: Product: ClassTag: TypeTag](
data: Seq[T], path: File): Unit = {
data.toDF().write.mode(SaveMode.Overwrite).orc(path.getCanonicalPath)
}
protected def makeOrcFile[T <: Product: ClassTag: TypeTag](
df: DataFrame, path: File): Unit = {
df.write.mode(SaveMode.Overwrite).orc(path.getCanonicalPath)
}
}
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