hi josh :
    
            I met another two problems when i  'copy ' a table to another  with 
spark. The trouble should be decribed as "some null and empty values when 
copied from another table "
            The main code is as follows:
val sqlContext = new SQLContext(sc)
val pred = s"mmsi like '0%'"
val df = sqlContext.phoenixTableAsDataFrame("ais_mmsi", 
Array("MMSI","TIME","C1.RID","C3.NAV_STATUS","C2.ROT....(total 13 
columns)"),predicate = Some(pred),conf = configuration)
df.saveToPhoenix("ais_area_test3",conf = configuration).
            when  it finished. I check the table 'ais_area_test3', all the rid 
seems to be empty,and  some of other columns to be null.  I really do not know 
what happened.

           And  if  i use  phoenixTableAsDataFrame without any  predicate .  It 
will cause another exception " 
org.apache.phoenix.schema.StaleRegionBoundaryCacheException: ERROR 1108 
(XCL08): Cache of region boundaries are out of date."   I have search the 
mailing list and googled it ,there is nothing help to me.

             Here is code to generate the two tables(both 13 columns and 3 cfs, 
the diffrent should be  the primary key,and one column):
                create table ais_area_test3 (
                rid  varchar,
                time INTEGER(10) not null,
               mmsi varchar(9),
              c3.nav_status INTEGER(2),.......etc.

create table ais_mmsi (
mmsi varchar(9) not null,
time INTEGER(10) not null,
c1.rid  varchar(10),
c3.nav_status INTEGER(2),......etc.

Yours very sincerely


sac...@outlook.com
 
From: Josh Mahonin
Date: 2016-01-08 23:23
To: user
Subject: Re: Re: error when get data from Phoenix 4.5.2 on CDH 5.5.x by spark 
1.5
[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
Date: 2016-01-06 23:02
To: user
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/"; 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";  
            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
Date: 2016-01-05 23:41
To: user
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
Date: 2015-12-30 00:56
To: user
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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