PS: The following works, but it seems rather awkward having to use the
SQLContext here.
SQLContext sqlContext = new SQLContext(sparkContext);
Dataset<Row> data = sqlContext
.createDataset(textList, Encoders.STRING())
.withColumnRenamed("value", "text");
Am 2021-11-18 11:26, schrieb [email protected]:
Hello,
I am struggling with a task that should be super simple: I would like
to create a Spark DF of Type Dataset<Row> with one column from a single
String (or from a one-element List of Strings). The column header
should be "text".
SparkContext.parallelize() does not work, because it returns RDD<T> and
not Dataset<Row> and it takes a "ClassTag" as 3rd parameter.
I am able to convert a List of Strings to JavaRDD<Row> using this:
JavaSparkContext javaSparkContext = new JavaSparkContext(sparkContext);
JavaRDD<String> javaRdd = javaSparkContext.parallelize(textList);
But then I am stuck with this javaRDD. Besides, it seems overly complex
having to create an intermediate representation.
There is also this SO post with a solution in Scala that I have not
been able to convert to Java, because the APIs differ:
https://stackoverflow.com/questions/44028677/how-to-create-a-dataframe-from-a-string
Basically, what I am looking for is something simple like:
Dataset<Row> myData = sparkSession.createDataFrame(textList, "text");
Any hints? Thanks a lot.
Cheers,
Martin
