Github user vanzin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8880#discussion_r40597441
  
    --- Diff: core/src/main/scala/org/apache/spark/crypto/CryptoCodec.scala ---
    @@ -0,0 +1,144 @@
    +/*
    + * 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.crypto
    +
    +import java.lang.ClassCastException
    +
    +import scala.reflect.runtime.universe
    +
    +import 
org.apache.spark.crypto.CommonConfigurationKeys.SPARK_SECURITY_CRYPTO_CIPHER_SUITE_DEFAULT
    +import 
org.apache.spark.crypto.CommonConfigurationKeys.SPARK_SECURITY_CRYPTO_CIPHER_SUITE_KEY
    +import 
org.apache.spark.crypto.CommonConfigurationKeys.SPARK_SECURITY_CRYPTO_CODEC_CLASSES_AES_CTR_NOPADDING_KEY
    +import org.apache.spark.{SparkConf, Logging}
    +
    +/**
    + * Crypto codec class, encapsulates encryptor/decryptor pair.
    + */
    +abstract case class CryptoCodec() {
    +  /**
    +   *
    +   * @return the CipherSuite for this codec.
    +   */
    +  def getCipherSuite(): CipherSuite
    +
    +  /**
    +   * This interface is only for Counter (CTR) mode. Generally the Encryptor
    +   * or Decryptor calculates the IV and maintain encryption context 
internally.
    +   * For example a {@link javax.crypto.Cipher} will maintain its encryption
    +   * context internally when we do encryption/decryption using the
    +   * Cipher#update interface.
    +   * <p/>
    +   * The IV can be calculated by combining the initial IV and the counter 
with
    +   * a lossless operation (concatenation, addition, or XOR).
    +   * @see 
http://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Counter_.28CTR.29
    +   * @param initIV
    +   * @param counter
    +   * @param IV
    +   */
    +  def calculateIV(initIV: Array[Byte], counter: Long, IV: Array[Byte])
    +
    +  /**
    +   * @return Encryptor the encryptor
    +   */
    +  def createEncryptor: Encryptor
    +
    +  /**
    +   * @return Decryptor the decryptor
    +   */
    +  def createDecryptor: Decryptor
    +
    +  /**
    +   * Generate a number of secure, random bytes suitable for cryptographic 
use.
    +   * This method needs to be thread-safe.
    +   * @param bytes byte array to populate with random data
    +   */
    +  def generateSecureRandom(bytes: Array[Byte])
    +}
    +
    +object CryptoCodec extends Logging {
    +  def getInstance(conf: SparkConf): CryptoCodec = {
    +    var name: String = conf.get(SPARK_SECURITY_CRYPTO_CIPHER_SUITE_KEY,
    +      SPARK_SECURITY_CRYPTO_CIPHER_SUITE_DEFAULT)
    +    getInstance(conf, CipherSuite.convert(name))
    +  }
    +
    +  def getInstance(conf: SparkConf, cipherSuite: CipherSuite): CryptoCodec 
= {
    +    var klasses: List[String] = getCodecClasses(conf, cipherSuite)
    +    var codec: CryptoCodec = null
    +    for (klass <- klasses) {
    +      try {
    +        val m = universe.runtimeMirror(getClass.getClassLoader)
    +        var c: CryptoCodec = null
    +        if (klass.equals("org.apache.spark.crypto.JceAesCtrCryptoCodec")) {
    +          val classCryptoCodec = 
universe.typeOf[org.apache.spark.crypto.JceAesCtrCryptoCodec]
    --- End diff --
    
    Why do you need to use reflection here? Why can't you just instantiate the 
class directly, since it's part of Spark already?


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