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.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> 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.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> >>> 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.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> >>>>> 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 <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> 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 <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> 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 >
