Lately, I’ve been experimenting with Kudu. It has been a much better experience than with HBase. Using it is much simpler, even from spark-shell.
spark-shell --packages org.apache.kudu:kudu-spark_2.10:1.0.0 It’s like going back to rudimentary DB systems where tables have just a primary key and the columns. Additional benefits include a home-grown spark package, fast upserts and table scans for analytics, time-series support just introduced, and (my favorite) simpler configuration and administration. It has just gone to version 1.0.0; so, I’m waiting for 1.0.1+ before I propose it as our HBase replacement for some bugs to shake out. All my performance tests have been stellar versus HBase especially with its simplicity. Just a thought… Cheers, Ben > On Oct 3, 2016, at 8:40 AM, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > > 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,stock_daily:open,stock_daily:high,stock_daily:low,stock_daily:close,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 > > LinkedIn > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> > > http://talebzadehmich.wordpress.com <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 14:42, Mich Talebzadeh <mich.talebza...@gmail.com > <mailto:mich.talebza...@gmail.com>> wrote: > or may be add ticker+date like similar > > > <image.png> > > 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 <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.talebza...@gmail.com > <mailto:mich.talebza...@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 <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.a...@gmail.com > <mailto:guha.a...@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.talebza...@gmail.com > <mailto:mich.talebza...@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 <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.a...@gmail.com > <mailto:guha.a...@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.talebza...@gmail.com > <mailto:mich.talebza...@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:high,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 <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.a...@gmail.com > <mailto:guha.a...@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.talebza...@gmail.com > <mailto:mich.talebza...@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:high,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 <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 <bbuil...@gmail.com > <mailto:bbuil...@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.talebza...@gmail.com >> <mailto:mich.talebza...@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 <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 <bbuil...@gmail.com >> <mailto:bbuil...@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.talebza...@gmail.com >>> <mailto:mich.talebza...@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 >>> <http://org.apache.hadoop.hbase.io/>.ImmutableBytesWritable >>> import org.apache.hadoop.mapreduce.Jo >>> <http://org.apache.hadoop.mapreduce.jo/>b >>> import org.apache.hadoop.mapreduce.li >>> <http://org.apache.hadoop.mapreduce.li/>b.input.FileInputFormat >>> import org.apache.hadoop.mapreduce.li >>> <http://org.apache.hadoop.mapreduce.li/>b.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.createConnection(ConnectionFactory.java:240) >>> at >>> org.apache.hadoop.hbase.client.ConnectionManager.createConnection(ConnectionManager.java:431) >>> at >>> org.apache.hadoop.hbase.client.ConnectionManager.createConnection(ConnectionManager.java:424) >>> at >>> org.apache.hadoop.hbase.client.ConnectionManager.getConnectionInternal(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(NativeConstructorAccessorImpl.java:62) >>> at >>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >>> at java.lang.reflect.Constructor.newInstance(Constructor.java:423) >>> at >>> org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:238) >>> ... 57 more >>> Caused by: java.lang.NoClassDefFoundError: org/apache/htrace/Trace >>> at >>> org.apache.hadoop.hbase.zookeeper.RecoverableZooKeeper.exists(RecoverableZooKeeper.java:216) >>> at org.apache.hadoop.hbase.zookeeper.ZKUtil.checkExists(ZKUtil.java:419) >>> at >>> org.apache.hadoop.hbase.zookeeper.ZKClusterId.readClusterIdZNode(ZKClusterId.java:65) >>> at >>> org.apache.hadoop.hbase.client.ZooKeeperRegistry.getClusterId(ZooKeeperRegistry.java:105) >>> at >>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.retrieveClusterId(ConnectionManager.java:905) >>> at >>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.<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/hduser/jars/hbase-common-1.2.3.jar:/home/hduser/jars/hbase-protocol-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/hduser/jars/hbase-common-1.2.3.jar:/home/hduser/jars/hbase-protocol-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/hduser/jars/hbase-common-1.2.3.jar,/home/hduser/jars/hbase-protocol-1.2.3.jar,/home/hduser/jars/htrace-core-3.0.4.jar,/home/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 <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 > > >
