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
>>>
>>>
>>
>
