Skip to content
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion docs/quick-start.md
Original file line number Diff line number Diff line change
Expand Up @@ -297,12 +297,13 @@ We'll create a very simple Spark application, `SimpleApp.java`:
{% highlight java %}
/* SimpleApp.java */
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.Dataset;

public class SimpleApp {
public static void main(String[] args) {
String logFile = "YOUR_SPARK_HOME/README.md"; // Should be some file on your system
SparkSession spark = SparkSession.builder().appName("Simple Application").getOrCreate();
Dataset<String> logData = spark.read.textFile(logFile).cache();
Dataset<String> logData = spark.read().textFile(logFile).cache();

long numAs = logData.filter(s -> s.contains("a")).count();
long numBs = logData.filter(s -> s.contains("b")).count();
Expand Down
6 changes: 3 additions & 3 deletions docs/structured-streaming-programming-guide.md
Original file line number Diff line number Diff line change
Expand Up @@ -1041,8 +1041,8 @@ streamingDf.join(staticDf, "type", "right_join") // right outer join with a sta
<div data-lang="java" markdown="1">

{% highlight java %}
Dataset<Row> staticDf = spark.read. ...;
Dataset<Row> streamingDf = spark.readStream. ...;
Dataset<Row> staticDf = spark.read(). ...;
Dataset<Row> streamingDf = spark.readStream(). ...;
streamingDf.join(staticDf, "type"); // inner equi-join with a static DF
streamingDf.join(staticDf, "type", "right_join"); // right outer join with a static DF
{% endhighlight %}
Expand Down Expand Up @@ -1087,7 +1087,7 @@ streamingDf
<div data-lang="java" markdown="1">

{% highlight java %}
Dataset<Row> streamingDf = spark.readStream. ...; // columns: guid, eventTime, ...
Dataset<Row> streamingDf = spark.readStream(). ...; // columns: guid, eventTime, ...

// Without watermark using guid column
streamingDf.dropDuplicates("guid");
Expand Down