ggershinsky commented on a change in pull request #32146: URL: https://github.com/apache/spark/pull/32146#discussion_r612397160
########## File path: sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncryptionTest.scala ########## @@ -0,0 +1,139 @@ +/* + * 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.execution.datasources.parquet + +import java.io.File +import java.nio.charset.StandardCharsets +import java.util.{Base64, HashMap, Map} + +import org.apache.hadoop.conf.Configuration +import org.apache.parquet.crypto.{KeyAccessDeniedException, ParquetCryptoRuntimeException} +import org.apache.parquet.crypto.keytools.{KeyToolkit, KmsClient} +import org.apache.spark.sql.QueryTest +import org.apache.spark.sql.test.SharedSparkSession + +import scala.sys.process._ + +/** + * A test suite that tests parquet modular encryption usage in Spark. + */ +class ParquetEncryptionTest + extends QueryTest with SharedSparkSession { + + private val encoder = Base64.getEncoder + private val footerKey = encoder.encodeToString("0123456789012345".getBytes(StandardCharsets.UTF_8)) + private val key1 = encoder.encodeToString("1234567890123450".getBytes(StandardCharsets.UTF_8)) + private val key2 = encoder.encodeToString("1234567890123451".getBytes(StandardCharsets.UTF_8)) + + import testImplicits._ + + test("Write and read an encrypted parquet") { + withTempDir { dir => + spark.conf.set("parquet.crypto.factory.class", + "org.apache.parquet.crypto.keytools.PropertiesDrivenCryptoFactory") + spark.conf.set("parquet.encryption.kms.client.class", + "org.apache.spark.sql.execution.datasources.parquet.InMemoryKMS") + spark.conf.set("parquet.encryption.key.list", + s"footerKey: ${footerKey}, key1: ${key1}, key2: ${key2}") + + val df = Seq((1, 22, 333)).toDF("a", "b", "c") + val parquetDir = new File(dir, "parquet").getCanonicalPath + df.write + .option("parquet.encryption.column.keys", "key1: a, b; key2: c") + .option("parquet.encryption.footer.key", "footerKey") + .parquet(parquetDir) + + val parquetPartitionFile = Seq("ls", "-tr", parquetDir).!!.split("\\s+")(0) + val fullFilename = parquetDir + "/" + parquetPartitionFile + val magic = Seq("tail", "-c", "4", fullFilename).!! + assert(magic.stripLineEnd.trim() == "PARE") + + val parquetDF = spark.read.parquet(parquetDir) + assert(parquetDF.inputFiles.nonEmpty) + val ds = parquetDF.select("a", "b", "c") + ds.show() + } + } +} + +/** + * This is a mock class, built just for parquet encryption testing in Spark + * and based on InMemoryKMS in parquet-hadoop tests. + * Don't use it as an example of a KmsClient implementation. Review comment: It might be helpful to add a link to a sample KmsClient in this comment, https://github.com/apache/parquet-mr/blob/apache-parquet-1.12.0/parquet-hadoop/src/test/java/org/apache/parquet/crypto/keytools/samples/VaultClient.java -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
