Details
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New Feature
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Status: Open
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Major
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Resolution: Unresolved
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1.12.0
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None
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None
Description
Hi Team,
While exploring parquet encryption, it is found that, if a field in nested column is encrypted , and If I want to read this parquet directory from other applications which does not have encryption keys to decrypt it, I cannot read the remaining fields of the nested column without keys.
Example
`
case class nestedItem(ic: Int = 0, sic : Double, pc: Int = 0) case class SquareItem(int_column: Int, square_int_column : Double, partitionCol: Int, nestedCol :nestedItem) `
In the case class `SquareItem` , `nestedCol` field is nested field and I want to encrypt a field `ic` within it.
I also want the footer to be non encrypted , so that I can use the encrypted parquet file by legacy applications.
Encryption is successful, however, when I query the parquet file using spark 3.3.0 without having any configuration for parquet encryption set up , I cannot non encrypted fields of `nestedCol` `sic`. I was expecting that only `nestedCol` `ic` field will not be querable.
Reproducer.
Spark 3.3.0 Using Spark-shell
Downloaded the file parquet-hadoop-1.12.0-tests.jar and added it to spark-jars folder
Code to create encrypted data. #
sc.hadoopConfiguration.set("parquet.crypto.factory.class" ,"org.apache.parquet.crypto.keytools.PropertiesDrivenCryptoFactory") sc.hadoopConfiguration.set("parquet.encryption.kms.client.class" ,"org.apache.parquet.crypto.keytools.mocks.InMemoryKMS") sc.hadoopConfiguration.set("parquet.encryption.key.list","key1a: BAECAwQFBgcICQoLDA0ODw==, key2a: BAECAAECAAECAAECAAECAA==, keyz: BAECAAECAAECAAECAAECAA==") sc.hadoopConfiguration.set("parquet.encryption.key.material.store.internally","false") val encryptedParquetPath = "/tmp/par_enc_footer_non_encrypted" valpartitionCol = 1 case class nestedItem(ic: Int = 0, sic : Double, pc: Int = 0) case class SquareItem(int_column: Int, square_int_column : Double, partitionCol: Int, nestedCol :nestedItem) val dataRange = (1 to 100).toList val squares = sc.parallelize(dataRange.map(i => new SquareItem(i, scala.math.pow(i,2), partitionCol,nestedItem(i,i)))) squares.toDS().show() squares.toDS().write.partitionBy("partitionCol").mode("overwrite").option("parquet.encryption.column.keys", "key1a:square_int_column,nestedCol.ic;").option("parquet.encryption.plaintext.footer",true).option("parquet.encryption.footer.key", "keyz").parquet(encryptedParquetPath)
Code to read the data trying to access non encrypted nested field by opening a new spark-shell
val encryptedParquetPath = "/tmp/par_enc_footer_non_encrypted" spark.sqlContext.read.parquet(encryptedParquetPath).createOrReplaceTempView("test") spark.sql("select nestedCol.sic from test").show()
As you can see that nestedCol.sic is not encrypted , I was expecting the results, but
I get the below error
Caused by: org.apache.parquet.crypto.ParquetCryptoRuntimeException: [square_int_column]. Null File Decryptor at org.apache.parquet.hadoop.metadata.EncryptedColumnChunkMetaData.decryptIfNeeded(ColumnChunkMetaData.java:602) at org.apache.parquet.hadoop.metadata.ColumnChunkMetaData.getEncodings(ColumnChunkMetaData.java:348) at org.apache.parquet.hadoop.ParquetRecordReader.checkDeltaByteArrayProblem(ParquetRecordReader.java:191) at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:177) at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$1(ParquetFileFormat.scala:375) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:209) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:270) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:136) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) at java.base/java.lang.Thread.run(Thread.java:833)
Attachments
Issue Links
- is caused by
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PARQUET-2297 Encrypted files should not be checked for delta encoding problem
- Resolved