itholic commented on a change in pull request #32053: URL: https://github.com/apache/spark/pull/32053#discussion_r608315679
########## File path: docs/sql-data-sources-text.md ########## @@ -0,0 +1,40 @@ +--- +layout: global +title: Text Files +displayTitle: Text 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. +--- + +Spark SQL provides `spark.read().text("file_name")` to read a file or directory of files in text format into a Spark DataFrame, and `dataframe.write().text("path")` to write to a text file. When reading a text file, rows separated by newline characters are created in the DataFrame, and the data type is string. This separator can be changed by option as shown in the example below. The `option()` function can be used to customize the behavior of reading or writing, such as controlling behavior of the line separator, compression, and so on. Review comment: Looks better. Thanks! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
