Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/22676#discussion_r223728765
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVHeaderChecker.scala
---
@@ -0,0 +1,131 @@
+/*
+ * 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.csv
+
+import com.univocity.parsers.csv.CsvParser
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.StructType
+
+/**
+ * Checks that column names in a CSV header and field names in the schema
are the same
+ * by taking into account case sensitivity.
+ *
+ * @param schema provided (or inferred) schema to which CSV must conform.
+ * @param options parsed CSV options.
+ * @param source name of CSV source that are currently checked. It is used
in error messages.
+ * @param isStartOfFile indicates if the currently processing partition is
the start of the file.
+ * if unknown or not applicable (for instance when
the input is a dataset),
+ * can be omitted.
+ */
+class CSVHeaderChecker(
--- End diff --
It's under execution package which is meant to be private. Since it's
accessed in DataFrameReader, it should be `private[sql]` which is removed in
SPARK-16964 for this reason.
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