itholic commented on a change in pull request #32053:
URL: https://github.com/apache/spark/pull/32053#discussion_r607572400
##########
File path:
examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java
##########
@@ -389,6 +392,67 @@ private static void runCsvDatasetExample(SparkSession
spark) {
// $example off:csv_dataset$
}
+ private static void runTextDatasetExample(SparkSession spark) {
+ // $example on:text_dataset$
+ // A text dataset is pointed to by path.
+ // The path can be either a single text file or a directory of text files
+ String path = "examples/src/main/resources/people.text";
+
+ Dataset<Row> df1 = spark.read().text(path);
+ df1.show();
+ // +-----------+
+ // | value|
+ // +-----------+
+ // |Michael, 29|
+ // | Andy, 30|
+ // | Justin, 19|
+ // +-----------+
+
+ // You can use 'lineSep' option to define the line separator.
+ // If None is set, it covers all `\r`, `\r\n` and `\n` (default).
+ Dataset<Row> df2 = spark.read().option("lineSep", ",").text(path);
+ df2.show();
+ // +-----------+
+ // | value|
+ // +-----------+
+ // | Michael|
+ // | 29\nAndy|
+ // | 30\nJustin|
+ // | 19\n|
+ // +-----------+
+
+ // You can also use 'wholetext' option to read each input file as a single
row.
+ Dataset<Row> df3 = spark.read().option("wholetext", "true").text(path);
+ df3.show();
+ // +--------------------+
+ // | value|
+ // +--------------------+
+ // |Michael, 29\nAndy...|
+ // +--------------------+
+
+ // "output" is a folder which contains multiple text files and a _SUCCESS
file.
+ df1.write().text("output");
+
+ // You can specify the compression format using the 'compression' option.
+ df1.write().option("compression", "gzip").text("output_compressed");
+
+ // Read all files in a folder.
+ String folderPath = "examples/src/main/resources";
+ Dataset<Row> df = spark.read().text(folderPath);
+ df.show();
+ // +-----------+
+ // | value|
+ // +-----------+
+ // |238val_238|
Review comment:
Yeah, the output is really look so as below. Should we align the output
anyway ??
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