Hi Cheng, I made sure the only hive server running on the machine is hivethriftserver2.
/usr/lib/jvm/default-java/bin/java -cp /usr/lib/hadoop/lib/hadoop-lzo.jar::/mnt/sadhan/spark-3/sbin/../conf:/mnt/sadhan/spark-3/spark-assembly-1.2.0-SNAPSHOT-hadoop2.3.0-cdh5.0.2.jar:/etc/hadoop/conf -Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit --class org.apache.spark.sql.hive.thriftserver.HiveThriftServer2 --master yarn --jars reporting.jar spark-internal The query I am running is a simple count(*): "select count(*) from Xyz where date_prefix=20141031" and pretty sure it's submitting a map reduce job based on the spark logs: TakesRest=false Total jobs = 1 Launching Job 1 out of 1 Number of reduce tasks determined at compile time: 1 In order to change the average load for a reducer (in bytes): set hive.exec.reducers.bytes.per.reducer=<number> In order to limit the maximum number of reducers: set hive.exec.reducers.max=<number> In order to set a constant number of reducers: set mapreduce.job.reduces=<number> 14/11/11 16:23:17 INFO ql.Context: New scratch dir is hdfs://fdsfdsfsdfsdf:9000/tmp/hive-ubuntu/hive_2014-11-11_16-23-17_333_5669798325805509526-2 Starting Job = job_1414084656759_0142, Tracking URL = http://xxxxxxx:8100/proxy/application_1414084656759_0142/ <http://t.signauxdix.com/e1t/c/5/f18dQhb0S7lC8dDMPbW2n0x6l2B9nMJW7t5XYg2zGvG-W8rBGxP1p8d-TW64zBkx56dS1Dd58vwq02?t=http%3A%2F%2Fec2-54-83-34-89.compute-1.amazonaws.com%3A8100%2Fproxy%2Fapplication_1414084656759_0142%2F&si=6222577584832512&pi=626685a9-b628-43cc-91a1-93636171ce77> Kill Command = /usr/lib/hadoop/bin/hadoop job -kill job_1414084656759_0142 On Mon, Nov 10, 2014 at 9:59 PM, Cheng Lian <lian.cs....@gmail.com> wrote: > Hey Sadhan, > > I really don't think this is Spark log... Unlike Shark, Spark SQL doesn't > even provide a Hive mode to let you execute queries against Hive. Would you > please check whether there is an existing HiveServer2 running there? Spark > SQL HiveThriftServer2 is just a Spark port of HiveServer2, and they share > the same default listening port. I guess the Thrift server didn't start > successfully because the HiveServer2 occupied the port, and your Beeline > session was probably linked against HiveServer2. > > Cheng > > > On 11/11/14 8:29 AM, Sadhan Sood wrote: > > I was testing out the spark thrift jdbc server by running a simple query > in the beeline client. The spark itself is running on a yarn cluster. > > However, when I run a query in beeline -> I see no running jobs in the > spark UI(completely empty) and the yarn UI seem to indicate that the > submitted query is being run as a map reduce job. This is probably also > being indicated from the spark logs but I am not completely sure: > > 2014-11-11 00:19:00,492 INFO ql.Context > (Context.java:getMRScratchDir(267)) - New scratch dir is > hdfs://xxxxxxxx:9000/tmp/hive-ubuntu/hive_2014-11-11_00-19-00_367_3847629323646885865-1 > > 2014-11-11 00:19:00,877 INFO ql.Context > (Context.java:getMRScratchDir(267)) - New scratch dir is > hdfs://xxxxxxxx:9000/tmp/hive-ubuntu/hive_2014-11-11_00-19-00_367_3847629323646885865-2 > > 2014-11-11 00:19:04,152 INFO ql.Context > (Context.java:getMRScratchDir(267)) - New scratch dir is > hdfs://xxxxxxxx:9000/tmp/hive-ubuntu/hive_2014-11-11_00-19-00_367_3847629323646885865-2 > > 2014-11-11 00:19:04,425 INFO Configuration.deprecation > (Configuration.java:warnOnceIfDeprecated(1009)) - mapred.submit.replication > is deprecated. Instead, use mapreduce.client.submit.file.replication > > 2014-11-11 00:19:04,516 INFO client.RMProxy > (RMProxy.java:createRMProxy(92)) - Connecting to ResourceManager > at xxxxxxxx:8032 > > 2014-11-11 00:19:04,607 INFO client.RMProxy > (RMProxy.java:createRMProxy(92)) - Connecting to ResourceManager > at xxxxxxxx:8032 > > 2014-11-11 00:19:04,639 WARN mapreduce.JobSubmitter > (JobSubmitter.java:copyAndConfigureFiles(150)) - Hadoop command-line option > parsing not performed. Implement the Tool interface and execute your > application with ToolRunner to remedy this > > 2014-11-11 00:00:08,806 INFO input.FileInputFormat > (FileInputFormat.java:listStatus(287)) - Total input paths to process : > 14912 > > 2014-11-11 00:00:08,864 INFO lzo.GPLNativeCodeLoader > (GPLNativeCodeLoader.java:<clinit>(34)) - Loaded native gpl library > > 2014-11-11 00:00:08,866 INFO lzo.LzoCodec (LzoCodec.java:<clinit>(76)) - > Successfully loaded & initialized native-lzo library [hadoop-lzo rev > 8e266e052e423af592871e2dfe09d54c03f6a0e8] > > 2014-11-11 00:00:09,873 INFO input.CombineFileInputFormat > (CombineFileInputFormat.java:createSplits(413)) - DEBUG: Terminated node > allocation with : CompletedNodes: 1, size left: 194541317 > > 2014-11-11 00:00:10,017 INFO mapreduce.JobSubmitter > (JobSubmitter.java:submitJobInternal(396)) - number of splits:615 > > 2014-11-11 00:00:10,095 INFO mapreduce.JobSubmitter > (JobSubmitter.java:printTokens(479)) - Submitting tokens for job: > job_1414084656759_0115 > > 2014-11-11 00:00:10,241 INFO impl.YarnClientImpl > (YarnClientImpl.java:submitApplication(167)) - Submitted application > application_1414084656759_0115 > > > It seems like the query is being run as a hive query instead of spark > query. The same query works fine when run from spark-sql cli. > > >
