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
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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
>>
>>
>>
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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 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 *
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>>>> <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:423)
>>>>>> 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/h
>>>>>> base-server-1.2.3.jar,/home/hduser/jars/hbase-common-1.2.3.j
>>>>>> ar,/home/hduser/jars/hbase-protocol-1.2.3.jar,/home/hduser/j
>>>>>> ars/htrace-core-3.0.4.jar,/home/hduser/jars/hive-hbase-handl
>>>>>> er-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.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>
>>
