Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/16147
Hi @srowen I just manually downloaded spark 2.1.0 rc1 and then tested as
below:
I tested both
```
.\bin\spark-shell.cmd --master local-cluster[2,1,1024]
```
```
spark.stop()
val spark =
SparkSession.builder().master("local-cluster[2,1,1024]").appName("testing").getOrCreate()
```
with the codes below:
```scala
val df1 = spark.createDataFrame(Seq((1, "4"), (2, "2"))).toDF("key",
"value")
val df2 = spark.createDataFrame(Seq((1, "1"), (2, "2"))).toDF("key",
"value")
df1.join(df2, df1("key") === df2("key") && df1("value") > df2("value"),
"inner").show()
```
```
+---+-----+---+-----+
|key|value|key|value|
+---+-----+---+-----+
| 1| 4| 1| 1|
+---+-----+---+-----+
```
In this case, the executor was executed with the command below:
```
"C:\Program Files\Java\jdk 1.8.0_91\bin\java" -cp
C:\spark\bin\..\conf\;C:\spark\bin\..\jars\*
-Xmx1024M -Dspark.driver.port=49235
org.apache.spark.executor.CoarseGrainedExecutorBackend
--driver-url spark://[email protected]:49235 --executor-id 0
--hostname 10.0.2.15
--cores 1 --app-id app-20161205174932-0000 --worker-url
spark://[email protected]:49258
```
which is pretty short. So, I think this might be okay.
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