[Sent this same message from another account, apologies if anyone gets a
double-post]

Thanks for the update. I hadn’t even seen the ‘SPARK_DIST_CLASSPATH’
setting until just now, but I suspect for CDH that might be the only way to
do it.

The reason for the class path errors you see is that the ‘client’ JAR on
its own ships a few extra dependencies (i.e. com.fasterxml.jackson) which
are incompatible with newer versions of Spark. The ‘client-spark’ JAR
attempts to remove those dependencies which would conflict with Spark,
although a more elegant solution will likely come with PHOENIX-2535 (
https://issues.apache.org/jira/browse/PHOENIX-2535)

Re: speed, the spark integration should be just about as fast as the
MapReduce and Pig integration. At the 3T level, your likely bottleneck is
disk IO just to load the data in, although network IO is also a possibility
here as well. Assuming you have a sufficient number of Spark workers with
enough RAM allocated, once the data is loaded into Spark initially,
operations on that dataset should proceed much faster, as much of the data
will be available in RAM vs disk.

Best of luck,

Josh


On Fri, Jan 8, 2016 at 7:34 AM, sac...@outlook.com <sac...@outlook.com>
wrote:

> hi josh
>
>              Yes ,it is still  the same 'No suitable driver' exception.
>              And my boss may solve the problem. the method is amazing but
> it did succeed.
>              he add the "export 
> SPARK_DIST_CLASSPATH=$SPARK_DIST_CLASSPATH:/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client.jar"
> in
> spark-env.sh ,and restart the spark .   And later ,everythig seems good.
>   What he add is the "phoenix-1.2.0-client.jar" which cause the exception
>  "java.lang.NoSuchMethodError:
> com.fasterxml.jackson.databind.Module$SetupContext.setClassIntrospector"
>  。 It is incredible.   I  really appreciate what you have done for me .  If
>  you could tell me why  it happens,  i will be more happy.
>
>             Besides ,this afternoon  i met  anothor  problem.  I  have
> made a table  which  include 13 columns,  such as (A.B.C.....)  and the
> primary key is (A,B),  When i import all the data to this table ,i  delete
> the  original data.   But now  i want to get another table ,which should
> inculde the same 13 columns ,but the diffrent  primary key  which should be
> (B,C).   The data is big ,about 3T .   Could you tell me how to do it
>  fastly.    I have tried to do this by spark, but it seems not  fast.
>
>
>
> Best wishes for  you!
>
>
>
>
>
> ------------------------------
> sac...@outlook.com
>
>
> *From:* Josh Mahonin <jmaho...@gmail.com>
> *Date:* 2016-01-06 23:02
> *To:* user <user@phoenix.apache.org>
> *Subject:* Re: Re: error when get data from Phoenix 4.5.2 on CDH 5.5.x by
> spark 1.5
> Hi,
>
> Is it still the same 'No suitable driver' exception, or is it something
> else?
>
> Have you tried using the 'yarn-cluster' mode? I've had success with that
> personally, although I don't have any experience on the CDH stack.
>
> Josh
>
>
>
> On Wed, Jan 6, 2016 at 2:59 AM, sac...@outlook.com <sac...@outlook.com>
> wrote:
>
>> hi josh:
>>
>>             I did what you say, and now i can run my codes in
>>  spark-shell --master local without any other confs , but when it comes
>> to 'yarn-client'  ,the error is as the same .
>>
>>             I  try to give you more informations, we have 11 nodes,3
>> zks,2 masters.  I am sure all the 11nodes have the client-spark.jar in
>> the path referred in the spark-defaults.conf.
>>             We use the CDH5.5 with spark1.5. our phoenix version is   "
>> http://archive.cloudera.com/cloudera-labs/phoenix/parcels/1.2/";
>> <http://archive.cloudera.com/cloudera-labs/phoenix/parcels/1.2/> which
>> based phoenix 4.5.2.
>>             I built the spark-client jar  in the following steps
>>             1.download the  base code in "
>> https://github.com/cloudera-labs/phoenix";
>> <https://github.com/cloudera-labs/phoenix>
>>             2. path the PHOENIX-2503.patch manualy
>>             3 build
>>
>>             it is amazing that it did work in local ,but not in
>> yarn-client mode .  Waiting for your reply eagerly.Thank you very much.
>>
>>
>>             my spark-defaults.conf is
>>
>> spark.authenticate=false
>> spark.dynamicAllocation.enabled=true
>> spark.dynamicAllocation.executorIdleTimeout=60
>> spark.dynamicAllocation.minExecutors=0
>> spark.dynamicAllocation.schedulerBacklogTimeout=1
>> spark.eventLog.dir=hdfs://cdhcluster1/user/spark/applicationHistory
>> spark.eventLog.enabled=true
>> spark.serializer=org.apache.spark.serializer.KryoSerializer
>> spark.shuffle.service.enabled=true
>> spark.shuffle.service.port=7337
>>
>> spark.executor.extraClassPath=/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar
>>
>> spark.driver.extraClassPath=/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar
>> spark.yarn.historyServer.address=http://cdhmaster1.boloomo.com:18088
>>
>> spark.yarn.jar=local:/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/lib/spark-assembly.jar
>>
>> spark.driver.extraLibraryPath=/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/hadoop/lib/native
>>
>> spark.executor.extraLibraryPath=/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/hadoop/lib/native
>>
>> spark.yarn.am.extraLibraryPath=/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/hadoop/lib/native
>> spark.yarn.config.gatewayPath=/opt/cloudera/parcels
>> spark.yarn.config.replacementPath={{HADOOP_COMMON_HOME}}/../../..
>> spark.master=yarn-client
>>
>> And here is my code again
>> import org.apache.spark.sql.SQLContext
>> import org.apache.phoenix.spark._
>> import org.apache.spark.SparkContext
>> import org.apache.spark.sql.SQLContext
>> import org.apache.phoenix.jdbc.PhoenixDriver
>> import java.sql.DriverManager
>>  DriverManager.registerDriver(new PhoenixDriver)
>>  Class.forName("org.apache.phoenix.jdbc.PhoenixDriver");
>> val pred = s"RID like 'wtwb2%' and TIME between 1325440922 and 1336440922"
>> val rdd = sc.phoenixTableAsRDD(
>>       "AIS_AREA",
>>       Seq("MMSI","LON","LAT","RID"),
>>       predicate = Some(pred),
>>       zkUrl = Some("cdhzk3.boloomo.com:2181"))
>>
>> and  i use only spark-shell to run the code this time.
>>
>>
>> ------------------------------
>> sac...@outlook.com
>>
>>
>> *From:* Josh Mahonin <jmaho...@gmail.com>
>> *Date:* 2016-01-05 23:41
>> *To:* user <user@phoenix.apache.org>
>> *Subject:* Re: Re: error when get data from Phoenix 4.5.2 on CDH 5.5.x
>> by spark 1.5
>> Hi,
>>
>> The error "java.sql.SQLException: No suitable driver found..." is
>> typically thrown when the worker nodes can't find Phoenix on the class path.
>>
>> I'm not certain that passing those values using '--conf' actually works
>> or not with Spark. I tend to set them in my 'spark-defaults.conf' in the
>> Spark configuration folder. I think restarting the master and workers may
>> be required as well.
>>
>> Josh
>>
>> On Tue, Jan 5, 2016 at 5:38 AM, mengfei <sac...@outlook.com> wrote:
>>
>>> hi josh:
>>>
>>>                 thank you for your advice,and it did work . i build the
>>> client-spark jar refreed the patch with thr CDH code and it succeed.
>>>                 Then i run some code with the "local" mode ,and the
>>> result is correct. But when it comes to the "yarn-client" mode ,some error
>>> happend:
>>>
>>>
>>>  java.lang.RuntimeException: java.sql.SQLException: No suitable driver 
>>> found for jdbc:phoenix:
>>> cdhzk1.boloomo.com,cdhzk2.boloomo.com,cdhzk3.boloomo.com:2181;
>>>
>>>                 I did try every way i know or i find in the commities: but
>>>  they don`t help.  So i want to get help from you ,Thank you for your
>>> patience.
>>>
>>>                 My code is :
>>>
>>> import org.apache.spark.sql.SQLContext
>>>
>>> import org.apache.phoenix.spark._
>>>
>>> import org.apache.spark.SparkContext
>>>
>>> import org.apache.spark.sql.SQLContext
>>>
>>>  import org.apache.phoenix.jdbc.PhoenixDriver
>>>
>>> import java.sql.DriverManager
>>>
>>>  DriverManager.registerDriver(new PhoenixDriver)
>>>
>>> val pred = s"MMSI = '002190048'"
>>>
>>> val rdd = sc.phoenixTableAsRDD(
>>>
>>>     "AIS_WS",
>>>
>>>     Seq("MMSI","LON","LAT","RID"),
>>>
>>>     predicate = Some(pred),
>>>
>>>     zkUrl = Some("cdhzk1.boloomo.com,cdhzk2.boloomo.com,
>>> cdhzk3.boloomo.com"))
>>>
>>> println(rdd.count())
>>>
>>>
>>> my  scripts are:
>>>
>>>  spark-submit \
>>>
>>> --master yarn-cluster  \
>>>
>>>
>>> --driver-class-path  
>>> "/data/public/mengfei/lib/phoenix-1.2.0-client-spark.jar" \
>>>
>>>
>>> --conf 
>>> "spark.executor.extraClassPath=/data/public/mengfei/lib/phoenix-1.2.0-client-spark.jar"
>>>  \
>>>
>>>
>>> --conf 
>>> "spark.driver.extraClassPath=/data/public/mengfei/lib/phoenix-1.2.0-client-spark.jar"
>>>  \
>>>
>>> --jars /data/public/mengfei/lib/phoenix-1.2.0-client-spark.jar \
>>>
>>>
>>> spark-shell \
>>> --master yarn-client -v \
>>> --driver-class-path  
>>> "/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar"
>>>  \
>>>
>>> --conf 
>>> "spark.executor.extraClassPath=/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar"
>>>  \
>>>
>>> --conf 
>>> "spark.driver.extraClassPath=/opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar"
>>>  \
>>> --jars 
>>> /opt/cloudera/parcels/CLABS_PHOENIX/lib/phoenix/phoenix-1.2.0-client-spark.jar
>>>
>>>
>>>
>>> ps: i did copied the jar to every node,and give the even the 777 rghts.
>>>
>>> ------------------------------
>>> sac...@outlook.com
>>>
>>>
>>> *From:* Josh Mahonin <jmaho...@gmail.com>
>>> *Date:* 2015-12-30 00:56
>>> *To:* user <user@phoenix.apache.org>
>>> *Subject:* Re: error when get data from Phoenix 4.5.2 on CDH 5.5.x by
>>> spark 1.5
>>> Hi,
>>>
>>> This issue is fixed with the following patch, and using the resulting
>>> 'client-spark' JAR after compilation:
>>> https://issues.apache.org/jira/browse/PHOENIX-2503
>>>
>>> As an alternative, you may have some luck also including updated
>>> com.fasterxml.jackson jackson-databind JARs in your app that are in sync
>>> with Spark's versions. Unfortunately the client JAR right now is shipping
>>> fasterxml jars that conflict with the Spark runtime.
>>>
>>> Another user has also had success by bundling their own Phoenix
>>> dependencies, if you want to try that out instead:
>>>
>>> http://mail-archives.apache.org/mod_mbox/incubator-phoenix-user/201512.mbox/%3c0f96d592-74d7-431a-b301-015374a6b...@sandia.gov%3E
>>>
>>> Josh
>>>
>>>
>>>
>>> On Tue, Dec 29, 2015 at 9:11 AM, sac...@outlook.com <sac...@outlook.com>
>>> wrote:
>>>
>>>> The error is
>>>>
>>>> java.lang.NoSuchMethodError:
>>>> com.fasterxml.jackson.databind.Module$SetupContext.setClassIntrospector(Lcom/fasterxml/jackson/databind/introspect/ClassIntrospector;)V
>>>>
>>>>         at
>>>> com.fasterxml.jackson.module.scala.introspect.ScalaClassIntrospectorModule$$anonfun$1.apply(ScalaClassIntrospector.scala:32)
>>>>
>>>>         at
>>>> com.fasterxml.jackson.module.scala.introspect.ScalaClassIntrospectorModule$$anonfun$1.apply(ScalaClassIntrospector.scala:32)
>>>>
>>>>         at
>>>> com.fasterxml.jackson.module.scala.JacksonModule$$anonfun$setupModule$1.apply(JacksonModule.scala:47)
>>>>
>>>>       …..
>>>>
>>>> The scala code is
>>>>
>>>> val df = sqlContext.load(
>>>>
>>>>   "org.apache.phoenix.spark",
>>>>
>>>>   Map("table" -> "AIS ", "zkUrl" -> "cdhzk1.ccco.com:2181")
>>>>
>>>> )
>>>>
>>>>
>>>>
>>>> Maybe I got the resoon ,the Phoenix 4.5.2 on  CDH 5.5.x is build with
>>>> spark 1.4 ,and cdh5.5`defalut spark version is 1.5.
>>>>
>>>> So  how could I do?  To rebuild a phoenix 4.5.2 version with spark 1.5
>>>> Or change the cdh spark to 1.4.  Apreantly these are difficult for me .
>>>> Could someone help me ? Thank you vey much.
>>>>
>>>>
>>>>
>>>
>>>
>>
>

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