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.