Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14564#discussion_r74036579
--- Diff:
examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredNetworkWordCountWindowed.java
---
@@ -75,28 +75,30 @@ public static void main(String[] args) throws Exception
{
.getOrCreate();
// Create DataFrame representing the stream of input lines from
connection to host:port
- Dataset<Tuple2<String, Timestamp>> lines = spark
+ Dataset<Row> lines = spark
.readStream()
.format("socket")
.option("host", host)
.option("port", port)
.option("includeTimestamp", true)
- .load().as(Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP()));
+ .load();
// Split the lines into words, retaining timestamps
- Dataset<Row> words = lines.flatMap(
--- End diff --
This diff looks a lot but the actual change is only
```java
- .load().as(Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP()));
+ .load();
```
and
```java
- Dataset<Row> words = lines.flatMap(
+ Dataset<Row> words = lines
+ .as(Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP()))
+ .flatMap(
```
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