io.prediction.data.storage.hdfs.HDFSModels.scala Maven / Gradle / Ivy

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/** Copyright 2015 TappingStone, Inc.
  *
  * Licensed 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 io.prediction.data.storage.hdfs

import java.io.IOException

import com.google.common.io.ByteStreams
import grizzled.slf4j.Logging
import io.prediction.data.storage.Model
import io.prediction.data.storage.Models
import io.prediction.data.storage.StorageClientConfig
import org.apache.hadoop.fs.FileSystem
import org.apache.hadoop.fs.Path

class HDFSModels(fs: FileSystem, config: StorageClientConfig, prefix: String)
  extends Models with Logging {

  def insert(i: Model): Unit = {
    try {
      val fsdos = fs.create(new Path(s"$prefix${i.id}"))
      fsdos.write(i.models)
      fsdos.close
    } catch {
      case e: IOException => error(e.getMessage)
    }
  }

  def get(id: String): Option[Model] = {
    try {
      val p = new Path(s"$prefix$id")
      Some(Model(
        id = id,
        models = ByteStreams.toByteArray(fs.open(p))))
    } catch {
      case e: Throwable =>
        error(e.getMessage)
        None
    }
  }

  def delete(id: String): Unit = {
    val p = new Path(s"$prefix$id")
    if (!fs.delete(p, false)) {
      error(s"Unable to delete ${fs.makeQualified(p).toString}!")
    }
  }
}