Hi,
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.
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.