Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/20087#discussion_r162671108
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/CompressionCodecSuite.scala
---
@@ -0,0 +1,349 @@
+/*
+ * 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
+
+import java.io.File
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.fs.Path
+import org.apache.orc.OrcConf.COMPRESS
+import org.apache.parquet.hadoop.ParquetOutputFormat
+import org.scalatest.BeforeAndAfterAll
+
+import org.apache.spark.sql.execution.datasources.orc.OrcOptions
+import org.apache.spark.sql.execution.datasources.parquet.{ParquetOptions,
ParquetTest}
+import org.apache.spark.sql.hive.orc.OrcFileOperator
+import org.apache.spark.sql.hive.test.TestHiveSingleton
+import org.apache.spark.sql.internal.SQLConf
+
+class CompressionCodecSuite extends TestHiveSingleton with ParquetTest
with BeforeAndAfterAll {
+ import spark.implicits._
+
+ override def beforeAll(): Unit = {
+ super.beforeAll()
+ (0 until
maxRecordNum).toDF("a").createOrReplaceTempView("table_source")
+ }
+
+ override def afterAll(): Unit = {
+ try {
+ spark.catalog.dropTempView("table_source")
+ } finally {
+ super.afterAll()
+ }
+ }
+
+ private val maxRecordNum = 50
+
+ private def getConvertMetastoreConfName(format: String): String =
format.toLowerCase match {
+ case "parquet" => HiveUtils.CONVERT_METASTORE_PARQUET.key
+ case "orc" => HiveUtils.CONVERT_METASTORE_ORC.key
+ }
+
+ private def getSparkCompressionConfName(format: String): String =
format.toLowerCase match {
+ case "parquet" => SQLConf.PARQUET_COMPRESSION.key
+ case "orc" => SQLConf.ORC_COMPRESSION.key
+ }
+
+ private def getHiveCompressPropName(format: String): String =
format.toLowerCase match {
+ case "parquet" => ParquetOutputFormat.COMPRESSION
+ case "orc" => COMPRESS.getAttribute
+ }
+
+ private def normalizeCodecName(format: String, name: String): String = {
+ format.toLowerCase match {
+ case "parquet" => ParquetOptions.getParquetCompressionCodecName(name)
+ case "orc" => OrcOptions.getORCCompressionCodecName(name)
+ }
+ }
+
+ private def getTableCompressionCodec(path: String, format: String):
Seq[String] = {
+ val hadoopConf = spark.sessionState.newHadoopConf()
+ val codecs = format.toLowerCase match {
+ case "parquet" => for {
+ footer <- readAllFootersWithoutSummaryFiles(new Path(path),
hadoopConf)
+ block <- footer.getParquetMetadata.getBlocks.asScala
+ column <- block.getColumns.asScala
+ } yield column.getCodec.name()
+ case "orc" => new File(path).listFiles().filter { file =>
+ file.isFile && !file.getName.endsWith(".crc") && file.getName !=
"_SUCCESS"
+ }.map { orcFile =>
+
OrcFileOperator.getFileReader(orcFile.toPath.toString).get.getCompression.toString
+ }.toSeq
+ }
+ codecs.distinct
+ }
+
+ private def createTable(
+ rootDir: File,
+ tableName: String,
+ isPartitioned: Boolean,
+ format: String,
+ compressionCodec: Option[String]): Unit = {
+ val tblProperties = compressionCodec match {
+ case Some(prop) =>
s"TBLPROPERTIES('${getHiveCompressPropName(format)}'='$prop')"
+ case _ => ""
+ }
+ val partitionCreate = if (isPartitioned) "PARTITIONED BY (p string)"
else ""
+ sql(
+ s"""
+ |CREATE TABLE $tableName(a int)
+ |$partitionCreate
+ |STORED AS $format
+ |LOCATION '${rootDir.toURI.toString.stripSuffix("/")}/$tableName'
+ |$tblProperties
+ """.stripMargin)
+ }
+
+ private def writeDataToTable(
+ tableName: String,
+ partitionValue: Option[String]): Unit = {
+ val partitionInsert = partitionValue.map(p => s"partition
(p='$p')").mkString
+ sql(
+ s"""
+ |INSERT INTO TABLE $tableName
+ |$partitionInsert
+ |SELECT * FROM table_source
+ """.stripMargin)
+ }
+
+ private def writeDateToTableUsingCTAS(
+ rootDir: File,
+ tableName: String,
+ partitionValue: Option[String],
+ format: String,
+ compressionCodec: Option[String]): Unit = {
+ val partitionCreate = partitionValue.map(p => s"PARTITIONED BY
(p)").mkString
+ val compressionOption = compressionCodec.map { codec =>
+ s",'${getHiveCompressPropName(format)}'='$codec'"
+ }.mkString
+ val partitionSelect = partitionValue.map(p => s",'$p' AS p").mkString
+ sql(
+ s"""
+ |CREATE TABLE $tableName
+ |USING $format
+
|OPTIONS('path'='${rootDir.toURI.toString.stripSuffix("/")}/$tableName'
$compressionOption)
+ |$partitionCreate
+ |AS SELECT * $partitionSelect FROM table_source
+ """.stripMargin)
+ }
+
+ private def getPreparedTablePath(
+ tmpDir: File,
+ tableName: String,
+ isPartitioned: Boolean,
+ format: String,
+ compressionCodec: Option[String],
+ usingCTAS: Boolean): String = {
+ val partitionValue = if (isPartitioned) Some("test") else None
+ if (usingCTAS) {
+ writeDateToTableUsingCTAS(tmpDir, tableName, partitionValue, format,
compressionCodec)
+ } else {
+ createTable(tmpDir, tableName, isPartitioned, format,
compressionCodec)
+ writeDataToTable(tableName, partitionValue)
+ }
+ getTablePartitionPath(tmpDir, tableName, partitionValue)
+ }
+
+ private def getTableSize(path: String): Long = {
+ val dir = new File(path)
+ val files = dir.listFiles().filter(_.getName.startsWith("part-"))
+ files.map(_.length()).sum
+ }
+
+ private def getTablePartitionPath(
+ dir: File,
+ tableName: String,
+ partitionValue: Option[String]) = {
+ val partitionPath = partitionValue.map(p => s"p=$p").mkString
+ s"${dir.getPath.stripSuffix("/")}/$tableName/$partitionPath"
+ }
+
+ private def getUncompressedDataSizeByFormat(
+ format: String, isPartitioned: Boolean, usingCTAS: Boolean): Long = {
+ var totalSize = 0L
+ val tableName = s"tbl_$format"
+ val codecName = normalizeCodecName(format, "uncompressed")
+ withSQLConf(getSparkCompressionConfName(format) -> codecName) {
+ withTempDir { tmpDir =>
+ withTable(tableName) {
+ val compressionCodec = Option(codecName)
+ val path = getPreparedTablePath(
+ tmpDir, tableName, isPartitioned, format, compressionCodec,
usingCTAS)
+ totalSize = getTableSize(path)
+ }
+ }
+ }
+ assert(totalSize > 0L)
+ totalSize
+ }
+
+ private def checkCompressionCodecForTable(
+ format: String,
+ isPartitioned: Boolean,
+ compressionCodec: Option[String],
+ usingCTAS: Boolean)
+ (assertion: (String, Long) => Unit): Unit = {
+ val tableName =
+ if (usingCTAS) s"tbl_$format$isPartitioned" else
s"tbl_$format${isPartitioned}_CAST"
+ withTempDir { tmpDir =>
+ withTable(tableName) {
+ val path = getPreparedTablePath(
+ tmpDir, tableName, isPartitioned, format, compressionCodec,
usingCTAS)
+ val relCompressionCodecs = getTableCompressionCodec(path, format)
+ assert(relCompressionCodecs.length == 1)
+ val tableSize = getTableSize(path)
+ assertion(relCompressionCodecs.head, tableSize)
+ }
+ }
+ }
+
+ private def checkTableCompressionCodecForCodecs(
+ format: String,
+ isPartitioned: Boolean,
+ convertMetastore: Boolean,
+ usingCTAS: Boolean,
+ compressionCodecs: List[String],
+ tableCompressionCodecs: List[String])
+ (assertionCompressionCodec: (Option[String], String, String, Long)
=> Unit): Unit = {
+ withSQLConf(getConvertMetastoreConfName(format) ->
convertMetastore.toString) {
+ tableCompressionCodecs.foreach { tableCompression =>
+ compressionCodecs.foreach { sessionCompressionCodec =>
+ withSQLConf(getSparkCompressionConfName(format) ->
sessionCompressionCodec) {
+ // 'tableCompression = null' means no table-level compression
+ val compression = Option(tableCompression)
+ checkCompressionCodecForTable(format, isPartitioned,
compression, usingCTAS) {
+ case (realCompressionCodec, tableSize) =>
+ assertionCompressionCodec(
+ compression, sessionCompressionCodec,
realCompressionCodec, tableSize)
+ }
+ }
+ }
+ }
+ }
+ }
+
+ // When the amount of data is small, compressed data size may be larger
than uncompressed one,
+ // so we just check the difference when compressionCodec is not NONE or
UNCOMPRESSED.
+ private def checkTableSize(
+ format: String,
+ compressionCodec: String,
+ isPartitioned: Boolean,
+ convertMetastore: Boolean,
+ usingCTAS: Boolean,
+ tableSize: Long): Boolean = {
+ val uncompressedSize = getUncompressedDataSizeByFormat(format,
isPartitioned, usingCTAS)
+ compressionCodec match {
+ case "UNCOMPRESSED" if format == "parquet" => tableSize ==
uncompressedSize
+ case "NONE" if format == "orc" => tableSize == uncompressedSize
+ case _ => tableSize != uncompressedSize
+ }
+ }
+
+ def checkForTableWithCompressProp(format: String, compressCodecs:
List[String]): Unit = {
+ Seq(true, false).foreach { isPartitioned =>
+ Seq(true, false).foreach { convertMetastore =>
+ Seq(true, false).foreach { usingCTAS =>
+ checkTableCompressionCodecForCodecs(
+ format,
+ isPartitioned,
+ convertMetastore,
+ usingCTAS,
+ compressionCodecs = compressCodecs,
+ tableCompressionCodecs = compressCodecs) {
+ case
+ (tableCompressionCodec, sessionCompressionCodec,
realCompressionCodec, tableSize) =>
--- End diff --
`case (tableCodec, sessionCodec, realCodec, tableSize) =>`
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
