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From Mich Talebzadeh <mich.talebza...@gmail.com>
Subject Re: Loading data into Hbase table throws NoClassDefFoundError: org/apache/htrace/Trace error
Date Mon, 03 Oct 2016 15:40:24 GMT
Hi,

I decided to create a composite key *ticker-date* from the csv file

I just did some manipulation on CSV file

export IFS=",";sed -i 1d tsco.csv; cat tsco.csv | while read a b c d e f;
do echo "TSCO-$a,TESCO PLC,TSCO,$a,$b,$c,$d,$e,$f"; done > temp; mv -f temp
tsco.csv

Which basically takes the csv file, tells the shell that field separator
IFS=",", drops the header, reads every field in every line (1,b,c ..),
creates the composite key TSCO-$a, adds the stock name and ticker to the
csv file. The whole process can be automated and parameterised.

Once the csv file is put into HDFS then, I run the following command

$HBASE_HOME/bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv
-Dimporttsv.separator=',' -Dimporttsv.columns="HBASE_ROW
_KEY,stock_info:stock,stock_info:ticker,stock_daily:Date,sto
ck_daily:open,stock_daily:high,stock_daily:low,stock_daily:c
lose,stock_daily:volume" tsco hdfs://rhes564:9000/data/stocks/tsco.csv

The Hbase table is created as below

create 'tsco','stock_info','stock_daily'

and this is the data (2 rows each 2 family and with 8 attributes)

hbase(main):132:0> scan 'tsco', LIMIT => 2
ROW                                                    COLUMN+CELL
 TSCO-1-Apr-08
column=stock_daily:Date, timestamp=1475507091676, value=1-Apr-08
 TSCO-1-Apr-08
column=stock_daily:close, timestamp=1475507091676, value=405.25
 TSCO-1-Apr-08
column=stock_daily:high, timestamp=1475507091676, value=406.75
 TSCO-1-Apr-08
column=stock_daily:low, timestamp=1475507091676, value=379.25
 TSCO-1-Apr-08
column=stock_daily:open, timestamp=1475507091676, value=380.00
 TSCO-1-Apr-08
column=stock_daily:volume, timestamp=1475507091676, value=49664486
 TSCO-1-Apr-08
column=stock_info:stock, timestamp=1475507091676, value=TESCO PLC
 TSCO-1-Apr-08
column=stock_info:ticker, timestamp=1475507091676, value=TSCO

 TSCO-1-Apr-09
column=stock_daily:Date, timestamp=1475507091676, value=1-Apr-09
 TSCO-1-Apr-09
column=stock_daily:close, timestamp=1475507091676, value=333.30
 TSCO-1-Apr-09
column=stock_daily:high, timestamp=1475507091676, value=334.60
 TSCO-1-Apr-09
column=stock_daily:low, timestamp=1475507091676, value=326.50
 TSCO-1-Apr-09
column=stock_daily:open, timestamp=1475507091676, value=331.10
 TSCO-1-Apr-09
column=stock_daily:volume, timestamp=1475507091676, value=24877341
 TSCO-1-Apr-09
column=stock_info:stock, timestamp=1475507091676, value=TESCO PLC
 TSCO-1-Apr-09
column=stock_info:ticker, timestamp=1475507091676, value=TSCO

Any suggestions

Thanks

Dr Mich Talebzadeh



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On 3 October 2016 at 14:42, Mich Talebzadeh <mich.talebzadeh@gmail.com>
wrote:

> or may be add ticker+date like similar
>
>
> [image: Inline images 1]
>
> So the new row key would be TSCO-1-Apr-08
>
> and this will be added as row key. Both Date and ticker will stay as they
> are as column family attributes?
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
> On 3 October 2016 at 14:32, Mich Talebzadeh <mich.talebzadeh@gmail.com>
> wrote:
>
>> with ticker+date I can c reate something like below for row key
>>
>> TSCO_1-Apr-08
>>
>>
>> or TSCO1-Apr-08
>>
>> if I understood you correctly
>>
>>
>> Dr Mich Talebzadeh
>>
>>
>>
>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>> On 3 October 2016 at 13:13, ayan guha <guha.ayan@gmail.com> wrote:
>>
>>> Hi
>>>
>>> Looks like you are saving to new.csv but still loading tsco.csv? Its
>>> definitely the header.
>>>
>>> Suggestion: ticker+date as row key has following benefits:
>>>
>>> 1. using ticker+date as row key will enable you to hold multiple ticker
>>> in this single hbase table. (Think composite primary key)
>>> 2. Using date itself as row key will lead to hotspots (Look up
>>> hotspoting due to monotonically increasing row key). To distribute the
>>> load, it is suggested to use a salting. Ticker can be used as a natural
>>> salt in this case.
>>> 3. Also, you may want to hash the rowkey value to give it little more
>>> flexible (Think surrogate key).
>>>
>>>
>>>
>>> On Mon, Oct 3, 2016 at 10:17 PM, Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>> Hi Ayan,
>>>>
>>>> Sounds like the row key has to be unique much like a primary key in
>>>> RDBMS
>>>>
>>>> This is what I download as a csv for stock from Google Finance
>>>>
>>>>   Date Open High Low Close Volume
>>>> 27-Sep-16 177.4 177.75 172.5 177.75 24117196
>>>>
>>>>
>>>> So What I do I add the stock and ticker myself to end of the row via
>>>> shell script and get rid of header
>>>>
>>>> sed -i 1d tsco.csv; cat tsco.csv|awk '{print $0,",TESCO PLC,TSCO"}' >
>>>> new.csv
>>>>
>>>> The New table has two column families: stock_price, stock_info and row
>>>> key date (one row per date)
>>>>
>>>> This creates a new csv file with two additional columns appended to the
>>>> end of each line
>>>>
>>>> Then I run the following command
>>>>
>>>> $HBASE_HOME/bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv
>>>> -Dimporttsv.separator=',' -Dimporttsv.columns="HBASE_ROW_KEY,
>>>> stock_daily:open, stock_daily:high, stock_daily:low, stock_daily:close,
>>>> stock_daily:volume, stock_info:stock, stock_info:ticker" tsco
>>>> hdfs://rhes564:9000/data/stocks/tsco.csv
>>>>
>>>> This is in Hbase table for a given day
>>>>
>>>> hbase(main):090:0> scan 'tsco', LIMIT => 10
>>>> ROW                                                    COLUMN+CELL
>>>>  1-Apr-08
>>>> column=stock_daily:close, timestamp=1475492248665, value=405.25
>>>>  1-Apr-08
>>>> column=stock_daily:high, timestamp=1475492248665, value=406.75
>>>>  1-Apr-08
>>>> column=stock_daily:low, timestamp=1475492248665, value=379.25
>>>>  1-Apr-08
>>>> column=stock_daily:open, timestamp=1475492248665, value=380.00
>>>>  1-Apr-08
>>>> column=stock_daily:volume, timestamp=1475492248665, value=49664486
>>>>  1-Apr-08
>>>> column=stock_info:stock, timestamp=1475492248665, value=TESCO PLC
>>>>  1-Apr-08
>>>> column=stock_info:ticker, timestamp=1475492248665, value=TSCO
>>>>
>>>>
>>>> But I also have this at the bottom
>>>>
>>>>   Date
>>>> column=stock_daily:close, timestamp=1475491189158, value=Close
>>>>  Date
>>>> column=stock_daily:high, timestamp=1475491189158, value=High
>>>>  Date
>>>> column=stock_daily:low, timestamp=1475491189158, value=Low
>>>>  Date
>>>> column=stock_daily:open, timestamp=1475491189158, value=Open
>>>>  Date
>>>> column=stock_daily:volume, timestamp=1475491189158, value=Volume
>>>>  Date
>>>> column=stock_info:stock, timestamp=1475491189158, value=TESCO PLC
>>>>  Date
>>>> column=stock_info:ticker, timestamp=1475491189158, value=TSCO
>>>>
>>>> Sounds like the table header?
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> Dr Mich Talebzadeh
>>>>
>>>>
>>>>
>>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>
>>>>
>>>>
>>>> http://talebzadehmich.wordpress.com
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>> On 3 October 2016 at 11:24, ayan guha <guha.ayan@gmail.com> wrote:
>>>>
>>>>> I am not well versed with importtsv, but you can create a CSV file
>>>>> using a simple spark program to create first column as ticker+tradedate.
I
>>>>> remember doing similar manipulation to create row key format in pig.
>>>>> On 3 Oct 2016 20:40, "Mich Talebzadeh" <mich.talebzadeh@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Thanks Ayan,
>>>>>>
>>>>>> How do you specify ticker+rtrade as row key in the below
>>>>>>
>>>>>> hbase org.apache.hadoop.hbase.mapreduce.ImportTsv
>>>>>> -Dimporttsv.separator=',' -Dimporttsv.columns="HBASE_ROW_KEY,
>>>>>> stock_daily:ticker, stock_daily:tradedate, stock_daily:open,stock_daily:h
>>>>>> igh,stock_daily:low,stock_daily:close,stock_daily:volume" tsco
>>>>>> hdfs://rhes564:9000/data/stocks/tsco.csv
>>>>>>
>>>>>> I always thought that Hbase will take the first column as row key
so
>>>>>> it takes stock as the row key which is tsco plc for every row!
>>>>>>
>>>>>> Does row key need to be unique?
>>>>>>
>>>>>> cheers
>>>>>>
>>>>>>
>>>>>> Dr Mich Talebzadeh
>>>>>>
>>>>>>
>>>>>>
>>>>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>
>>>>>>
>>>>>>
>>>>>> http://talebzadehmich.wordpress.com
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property
which may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary
damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>> On 3 October 2016 at 10:30, ayan guha <guha.ayan@gmail.com>
wrote:
>>>>>>
>>>>>>> Hi Mitch
>>>>>>>
>>>>>>> It is more to do with hbase than spark.
>>>>>>>
>>>>>>> Row key can be anything, yes but essentially what you are doing
is
>>>>>>> insert and update tesco PLC row. Given your schema, ticker+trade
date seems
>>>>>>> to be a good row key
>>>>>>> On 3 Oct 2016 18:25, "Mich Talebzadeh" <mich.talebzadeh@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> thanks again.
>>>>>>>>
>>>>>>>> I added that jar file to the classpath and that part worked.
>>>>>>>>
>>>>>>>> I was using spark shell so I have to use spark-submit for
it to be
>>>>>>>> able to interact with map-reduce job.
>>>>>>>>
>>>>>>>> BTW when I use the command line utility ImportTsv  to load
a file
>>>>>>>> into Hbase with the following table format
>>>>>>>>
>>>>>>>> describe 'marketDataHbase'
>>>>>>>> Table marketDataHbase is ENABLED
>>>>>>>> marketDataHbase
>>>>>>>> COLUMN FAMILIES DESCRIPTION
>>>>>>>> {NAME => 'price_info', BLOOMFILTER => 'ROW', VERSIONS
=> '1',
>>>>>>>> IN_MEMORY => 'false', KEEP_DELETED_CELLS => 'FALSE',
DATA_BLOCK_ENCODING =>
>>>>>>>> 'NONE', TTL => 'FOREVER', COMPRESSION => 'NONE', MIN_VERSIONS
=> '0', BLOCKC
>>>>>>>> ACHE => 'true', BLOCKSIZE => '65536', REPLICATION_SCOPE
=> '0'}
>>>>>>>> 1 row(s) in 0.0930 seconds
>>>>>>>>
>>>>>>>>
>>>>>>>> hbase org.apache.hadoop.hbase.mapreduce.ImportTsv
>>>>>>>> -Dimporttsv.separator=',' -Dimporttsv.columns="HBASE_ROW_KEY,
>>>>>>>> stock_daily:ticker, stock_daily:tradedate, stock_daily:open,stock_daily:h
>>>>>>>> igh,stock_daily:low,stock_daily:close,stock_daily:volume"
tsco
>>>>>>>> hdfs://rhes564:9000/data/stocks/tsco.csv
>>>>>>>>
>>>>>>>> There are with 1200 rows in the csv file,* but it only loads
the
>>>>>>>> first row!*
>>>>>>>>
>>>>>>>> scan 'tsco'
>>>>>>>> ROW                                                    COLUMN+CELL
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:close, timestamp=1475447365118, value=325.25
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:high, timestamp=1475447365118, value=332.00
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:low, timestamp=1475447365118, value=324.00
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:open, timestamp=1475447365118, value=331.75
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:ticker, timestamp=1475447365118, value=TSCO
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:tradedate, timestamp=1475447365118, value=
3-Jan-06
>>>>>>>>  Tesco PLC
>>>>>>>> column=stock_daily:volume, timestamp=1475447365118, value=46935045
>>>>>>>> 1 row(s) in 0.0390 seconds
>>>>>>>>
>>>>>>>> Is this because the hbase_row_key --> Tesco PLC is the
same for
>>>>>>>> all? I thought that the row key can be anything.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> Dr Mich Talebzadeh
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> http://talebzadehmich.wordpress.com
>>>>>>>>
>>>>>>>>
>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>> for any loss, damage or destruction of data or any other
property which may
>>>>>>>> arise from relying on this email's technical content is explicitly
>>>>>>>> disclaimed. The author will in no case be liable for any
monetary damages
>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On 3 October 2016 at 07:44, Benjamin Kim <bbuild11@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> We installed Apache Spark 1.6.0 at the time alongside
CDH 5.4.8
>>>>>>>>> because Cloudera only had Spark 1.3.0 at the time, and
we wanted to use
>>>>>>>>> Spark 1.6.0’s features. We borrowed the /etc/spark/conf/spark-env.sh
file
>>>>>>>>> that Cloudera generated because it was customized to
add jars first from
>>>>>>>>> paths listed in the file /etc/spark/conf/classpath.txt.
So, we entered the
>>>>>>>>> path for the htrace jar into the /etc/spark/conf/classpath.txt
file. Then,
>>>>>>>>> it worked. We could read/write to HBase.
>>>>>>>>>
>>>>>>>>> On Oct 2, 2016, at 12:52 AM, Mich Talebzadeh <
>>>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>> Thanks Ben
>>>>>>>>>
>>>>>>>>> The thing is I am using Spark 2 and no stack from CDH!
>>>>>>>>>
>>>>>>>>> Is this approach to reading/writing to Hbase specific
to Cloudera?
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Dr Mich Talebzadeh
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> http://talebzadehmich.wordpress.com
>>>>>>>>>
>>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>>> for any loss, damage or destruction of data or any other
property which may
>>>>>>>>> arise from relying on this email's technical content
is explicitly
>>>>>>>>> disclaimed. The author will in no case be liable for
any monetary damages
>>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On 1 October 2016 at 23:39, Benjamin Kim <bbuild11@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Mich,
>>>>>>>>>>
>>>>>>>>>> I know up until CDH 5.4 we had to add the HTrace
jar to the
>>>>>>>>>> classpath to make it work using the command below.
But after upgrading to
>>>>>>>>>> CDH 5.7, it became unnecessary.
>>>>>>>>>>
>>>>>>>>>> echo "/opt/cloudera/parcels/CDH/jars/htrace-core-3.2.0-incubating.jar"
>>>>>>>>>> >> /etc/spark/conf/classpath.txt
>>>>>>>>>>
>>>>>>>>>> Hope this helps.
>>>>>>>>>>
>>>>>>>>>> Cheers,
>>>>>>>>>> Ben
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On Oct 1, 2016, at 3:22 PM, Mich Talebzadeh <
>>>>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>>>>
>>>>>>>>>> Trying bulk load using Hfiles in Spark as below example:
>>>>>>>>>>
>>>>>>>>>> import org.apache.spark._
>>>>>>>>>> import org.apache.spark.rdd.NewHadoopRDD
>>>>>>>>>> import org.apache.hadoop.hbase.{HBaseConfiguration,
>>>>>>>>>> HTableDescriptor}
>>>>>>>>>> import org.apache.hadoop.hbase.client.HBaseAdmin
>>>>>>>>>> import org.apache.hadoop.hbase.mapreduce.TableInputFormat
>>>>>>>>>> import org.apache.hadoop.fs.Path;
>>>>>>>>>> import org.apache.hadoop.hbase.HColumnDescriptor
>>>>>>>>>> import org.apache.hadoop.hbase.util.Bytes
>>>>>>>>>> import org.apache.hadoop.hbase.client.Put;
>>>>>>>>>> import org.apache.hadoop.hbase.client.HTable;
>>>>>>>>>> import org.apache.hadoop.hbase.mapred.TableOutputFormat
>>>>>>>>>> import org.apache.hadoop.mapred.JobConf
>>>>>>>>>> import org.apache.hadoop.hbase.io.ImmutableBytesWritable
>>>>>>>>>> import org.apache.hadoop.mapreduce.Job
>>>>>>>>>> import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
>>>>>>>>>> import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat
>>>>>>>>>> import org.apache.hadoop.hbase.KeyValue
>>>>>>>>>> import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat
>>>>>>>>>> import org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles
>>>>>>>>>>
>>>>>>>>>> So far no issues.
>>>>>>>>>>
>>>>>>>>>> Then I do
>>>>>>>>>>
>>>>>>>>>> val conf = HBaseConfiguration.create()
>>>>>>>>>> conf: org.apache.hadoop.conf.Configuration = Configuration:
>>>>>>>>>> core-default.xml, core-site.xml, mapred-default.xml,
mapred-site.xml,
>>>>>>>>>> yarn-default.xml, yarn-site.xml, hbase-default.xml,
hbase-site.xml
>>>>>>>>>> val tableName = "testTable"
>>>>>>>>>> tableName: String = testTable
>>>>>>>>>>
>>>>>>>>>> But this one fails:
>>>>>>>>>>
>>>>>>>>>> scala> val table = new HTable(conf, tableName)
>>>>>>>>>> java.io.IOException: java.lang.reflect.InvocationTargetException
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionFactory.createConne
>>>>>>>>>> ction(ConnectionFactory.java:240)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionManager.createConne
>>>>>>>>>> ction(ConnectionManager.java:431)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionManager.createConne
>>>>>>>>>> ction(ConnectionManager.java:424)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionManager.getConnecti
>>>>>>>>>> onInternal(ConnectionManager.java:302)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:185
>>>>>>>>>> )
>>>>>>>>>>   at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:151
>>>>>>>>>> )
>>>>>>>>>>   ... 52 elided
>>>>>>>>>> Caused by: java.lang.reflect.InvocationTargetException:
>>>>>>>>>> java.lang.NoClassDefFoundError: org/apache/htrace/Trace
>>>>>>>>>>   at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
>>>>>>>>>> Method)
>>>>>>>>>>   at sun.reflect.NativeConstructorAccessorImpl.newInstance(Native
>>>>>>>>>> ConstructorAccessorImpl.java:62)
>>>>>>>>>>   at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(De
>>>>>>>>>> legatingConstructorAccessorImpl.java:45)
>>>>>>>>>>   at java.lang.reflect.Constructor.newInstance(Constructor.java:4
>>>>>>>>>> 23)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionFactory.createConne
>>>>>>>>>> ction(ConnectionFactory.java:238)
>>>>>>>>>>   ... 57 more
>>>>>>>>>> Caused by: java.lang.NoClassDefFoundError:
>>>>>>>>>> org/apache/htrace/Trace
>>>>>>>>>>   at org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper.exist
>>>>>>>>>> s(RecoverableZooKeeper.java:216)
>>>>>>>>>>   at org.apache.hadoop.hbase.zookeeper.ZKUtil.checkExists(ZKUtil.
>>>>>>>>>> java:419)
>>>>>>>>>>   at org.apache.hadoop.hbase.zookeeper.ZKClusterId.readClusterIdZ
>>>>>>>>>> Node(ZKClusterId.java:65)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ZooKeeperRegistry.getClusterI
>>>>>>>>>> d(ZooKeeperRegistry.java:105)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionManager$HConnection
>>>>>>>>>> Implementation.retrieveClusterId(ConnectionManager.java:905)
>>>>>>>>>>   at org.apache.hadoop.hbase.client.ConnectionManager$HConnection
>>>>>>>>>> Implementation.<init>(ConnectionManager.java:648)
>>>>>>>>>>   ... 62 more
>>>>>>>>>> Caused by: java.lang.ClassNotFoundException:
>>>>>>>>>> org.apache.htrace.Trace
>>>>>>>>>>
>>>>>>>>>> I have got all the jar files in spark-defaults.conf
>>>>>>>>>>
>>>>>>>>>> spark.driver.extraClassPath      /home/hduser/jars/ojdbc6.jar:/
>>>>>>>>>> home/hduser/jars/jconn4.jar:/home/hduser/jars/hbase-client-1
>>>>>>>>>> .2.3.jar:/home/hduser/jars/hbase-server-1.2.3.jar:/home/hdus
>>>>>>>>>> er/jars/hbase-common-1.2.3.jar:/home/hduser/jars/hbase-proto
>>>>>>>>>> col-1.2.3.jar:/home/hduser/jars/htrace-core-3.0.4.jar:/home/
>>>>>>>>>> hduser/jars/hive-hbase-handler-2.1.0.jar
>>>>>>>>>> spark.executor.extraClassPath    /home/hduser/jars/ojdbc6.jar:/
>>>>>>>>>> home/hduser/jars/jconn4.jar:/home/hduser/jars/hbase-client-1
>>>>>>>>>> .2.3.jar:/home/hduser/jars/hbase-server-1.2.3.jar:/home/hdus
>>>>>>>>>> er/jars/hbase-common-1.2.3.jar:/home/hduser/jars/hbase-proto
>>>>>>>>>> col-1.2.3.jar:/home/hduser/jars/htrace-core-3.0.4.jar:/home/
>>>>>>>>>> hduser/jars/hive-hbase-handler-2.1.0.jar
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> and also in Spark shell where I test the code
>>>>>>>>>>
>>>>>>>>>>  --jars /home/hduser/jars/hbase-client
>>>>>>>>>> -1.2.3.jar,/home/hduser/jars/hbase-server-1.2.3.jar,/home/hd
>>>>>>>>>> user/jars/hbase-common-1.2.3.jar,/home/hduser/jars/hbase-pro
>>>>>>>>>> tocol-1.2.3.jar,/home/hduser/jars/htrace-core-3.0.4.jar,/hom
>>>>>>>>>> e/hduser/jars/hive-hbase-handler-2.1.0.jar'
>>>>>>>>>>
>>>>>>>>>> So any ideas will be appreciated.
>>>>>>>>>>
>>>>>>>>>> Thanks
>>>>>>>>>>
>>>>>>>>>> Dr Mich Talebzadeh
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> http://talebzadehmich.wordpress.com
>>>>>>>>>>
>>>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all
>>>>>>>>>> responsibility for any loss, damage or destruction
of data or any other
>>>>>>>>>> property which may arise from relying on this email's
technical content is
>>>>>>>>>> explicitly disclaimed. The author will in no case
be liable for any
>>>>>>>>>> monetary damages arising from such loss, damage or
destruction.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>
>>>>
>>>
>>>
>>> --
>>> Best Regards,
>>> Ayan Guha
>>>
>>
>>
>

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