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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 13:42:02 GMT
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



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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
>
>
>
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>
>
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> 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
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>
> 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
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>>>
>>>
>>>
>>> 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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