[GitHub] [spark] MaxGekk commented on a change in pull request #31827: [SPARK-34492][DOCS] Add "CSV Files" page for Data Source documents.

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MaxGekk commented on a change in pull request #31827:
URL: https://github.com/apache/spark/pull/31827#discussion_r598708489



##########
File path: docs/sql-data-sources-csv.md
##########
@@ -0,0 +1,40 @@
+---
+layout: global
+title: CSV Files
+displayTitle: CSV Files
+license: |
+  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.
+---
+
+<div class="codetabs">
+
+<div data-lang="scala"  markdown="1">
+
+Spark SQL provides `spark.read.csv("file_name")` to read a CSV file into Spark DataFrame and `dataframe.write.csv("path")` to save or write to the CSV file. Function `option()` provides customized behavior during reading csv files. The customized behavior includes but not limit to configuring header, delimiter, charset. The detailed usage can be found in [spark-csv](https://github.com/databricks/spark-csv).

Review comment:
       I am not sure that we should refer to the outdated https://github.com/databricks/spark-csv . Does anybody maintain it? For example,
   ```
   dateFormat: specifies a string that indicates the date format to use writing dates or timestamps. Custom date formats follow the formats at java.text.SimpleDateFormat. This applies to both DateType and TimestampType. If no dateFormat is specified, then "yyyy-MM-dd HH:mm:ss.S".
   ```
   is incorrect.




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