dongjoon-hyun commented on a change in pull request #24005: [SPARK-27085][SQL] 
Migrate CSV to File Data Source V2
URL: https://github.com/apache/spark/pull/24005#discussion_r268044726
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/csv/CSVScan.scala
 ##########
 @@ -0,0 +1,85 @@
+/*
+ * 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.v2.csv
+
+import scala.collection.JavaConverters._
+
+import org.apache.hadoop.fs.Path
+
+import org.apache.spark.sql.{AnalysisException, SparkSession}
+import org.apache.spark.sql.catalyst.csv.CSVOptions
+import org.apache.spark.sql.catalyst.expressions.ExprUtils
+import org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex
+import org.apache.spark.sql.execution.datasources.csv.CSVDataSource
+import org.apache.spark.sql.execution.datasources.v2.TextBasedFileScan
+import org.apache.spark.sql.sources.v2.reader.PartitionReaderFactory
+import org.apache.spark.sql.types.{DataType, StructType}
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+import org.apache.spark.util.SerializableConfiguration
+
+case class CSVScan(
+    sparkSession: SparkSession,
+    fileIndex: PartitioningAwareFileIndex,
+    dataSchema: StructType,
+    readSchema: StructType,
+    options: CaseInsensitiveStringMap)
+  extends TextBasedFileScan(sparkSession, fileIndex, readSchema, options) {
+
+  private val optionsAsScala = options.asScala.toMap
+  private lazy val parsedOptions: CSVOptions = new CSVOptions(
+    optionsAsScala,
+    columnPruning = sparkSession.sessionState.conf.csvColumnPruning,
+    sparkSession.sessionState.conf.sessionLocalTimeZone,
+    sparkSession.sessionState.conf.columnNameOfCorruptRecord)
+
+  override def isSplitable(path: Path): Boolean = {
+    CSVDataSource(parsedOptions).isSplitable && super.isSplitable(path)
+  }
+
+  override def createReaderFactory(): PartitionReaderFactory = {
+    // Check a field requirement for corrupt records here to throw an 
exception in a driver side
+    ExprUtils.verifyColumnNameOfCorruptRecord(dataSchema, 
parsedOptions.columnNameOfCorruptRecord)
+
+    if (readSchema.length == 1 &&
+      readSchema.head.name == parsedOptions.columnNameOfCorruptRecord) {
+      throw new AnalysisException(
+        "Since Spark 2.3, the queries from raw JSON/CSV files are disallowed 
when the\n" +
+          "referenced columns only include the internal corrupt record 
column\n" +
+          s"(named _corrupt_record by default). For example:\n" +
 
 Review comment:
   I know this is a copied one. But, shall we remove `s` from `s"`?

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