Can you try submitting a very simple job to the cluster.
> On Jul 16, 2014, at 10:25 AM, Sarath Chandra
> <sarathchandra.jos...@algofusiontech.com> wrote:
>
> Yes it is appearing on the Spark UI, and remains there with state as
> "RUNNING" till I press Ctrl+C in the terminal to kill the execution.
>
> Barring the statements to create the spark context, if I copy paste the lines
> of my code in spark shell, runs perfectly giving the desired output.
>
> ~Sarath
>
>> On Wed, Jul 16, 2014 at 7:48 PM, Soumya Simanta <soumya.sima...@gmail.com>
>> wrote:
>> When you submit your job, it should appear on the Spark UI. Same with the
>> REPL. Make sure you job is submitted to the cluster properly.
>>
>>
>>> On Wed, Jul 16, 2014 at 10:08 AM, Sarath Chandra
>>> <sarathchandra.jos...@algofusiontech.com> wrote:
>>> Hi Soumya,
>>>
>>> Data is very small, 500+ lines in each file.
>>>
>>> Removed last 2 lines and placed this at the end
>>> "matched.collect().foreach(println);". Still no luck. It's been more than
>>> 5min, the execution is still running.
>>>
>>> Checked logs, nothing in stdout. In stderr I don't see anything going
>>> wrong, all are info messages.
>>>
>>> What else do I need check?
>>>
>>> ~Sarath
>>>
>>>> On Wed, Jul 16, 2014 at 7:23 PM, Soumya Simanta <soumya.sima...@gmail.com>
>>>> wrote:
>>>> Check your executor logs for the output or if your data is not big collect
>>>> it in the driver and print it.
>>>>
>>>>
>>>>
>>>>> On Jul 16, 2014, at 9:21 AM, Sarath Chandra
>>>>> <sarathchandra.jos...@algofusiontech.com> wrote:
>>>>>
>>>>> Hi All,
>>>>>
>>>>> I'm trying to do a simple record matching between 2 files and wrote
>>>>> following code -
>>>>>
>>>>> import org.apache.spark.sql.SQLContext;
>>>>> import org.apache.spark.rdd.RDD
>>>>> object SqlTest {
>>>>> case class Test(fld1:String, fld2:String, fld3:String, fld4:String,
>>>>> fld4:String, fld5:Double, fld6:String);
>>>>> sc.addJar("test1-0.1.jar");
>>>>> val file1 = sc.textFile("hdfs://localhost:54310/user/hduser/file1.csv");
>>>>> val file2 = sc.textFile("hdfs://localhost:54310/user/hduser/file2.csv");
>>>>> val sq = new SQLContext(sc);
>>>>> val file1_recs: RDD[Test] = file1.map(_.split(",")).map(l => Test(l(0),
>>>>> l(1), l(2), l(3), l(4), l(5).toDouble, l(6)));
>>>>> val file2_recs: RDD[Test] = file2.map(_.split(",")).map(s => Test(s(0),
>>>>> s(1), s(2), s(3), s(4), s(5).toDouble, s(6)));
>>>>> val file1_schema = sq.createSchemaRDD(file1_recs);
>>>>> val file2_schema = sq.createSchemaRDD(file2_recs);
>>>>> file1_schema.registerAsTable("file1_tab");
>>>>> file2_schema.registerAsTable("file2_tab");
>>>>> val matched = sq.sql("select * from file1_tab l join file2_tab s on
>>>>> l.fld6=s.fld6 where l.fld3=s.fld3 and l.fld4=s.fld4 and l.fld5=s.fld5 and
>>>>> l.fld2=s.fld2");
>>>>> val count = matched.count();
>>>>> System.out.println("Found " + matched.count() + " matching records");
>>>>> }
>>>>>
>>>>> When I run this program on a standalone spark cluster, it keeps running
>>>>> for long with no output or error. After waiting for few mins I'm forcibly
>>>>> killing it.
>>>>> But the same program is working well when executed from a spark shell.
>>>>>
>>>>> What is going wrong? What am I missing?
>>>>>
>>>>> ~Sarath
>
