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https://issues.apache.org/jira/browse/HBASE-16417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15626398#comment-15626398
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stack commented on HBASE-16417:
-------------------------------
Smile. On the answer to the first, yeah, per client we'll do 1M rows.
On second question, answer is the second option.... value is per column.
See below:
I ran ./bin/hbase org.apache.hadoop.hbase.PerformanceEvaluation sequentialWrite
2
... and when I did a count I got:
....
Current count: 2094000, row: 00000000000000000002093999
Current count: 2095000, row: 00000000000000000002094999
Current count: 2096000, row: 00000000000000000002095999
Current count: 2097000, row: 00000000000000000002096999
2097146 row(s)
Took 61.3450 seconds
And after dropping above table, I did this:
$ ./bin/hbase pe --rows=10 --columns=2 --valueSize=3 sequentialWrite 3
... then scanning in shell:
{code}
....
00000000000000000000000025
column=info:0, timestamp=1478027694055, value=YYY
00000000000000000000000025
column=info:1, timestamp=1478027694055, value=AAA
00000000000000000000000026
column=info:0, timestamp=1478027695245, value=XXX
00000000000000000000000026
column=info:1, timestamp=1478027695245, value=CCC
00000000000000000000000027
column=info:0, timestamp=1478027695658, value=XXX
00000000000000000000000027
column=info:1, timestamp=1478027695658, value=HHH
00000000000000000000000028
column=info:0, timestamp=1478027694647, value=KKK
00000000000000000000000028
column=info:1, timestamp=1478027694647, value=PPP
00000000000000000000000029
column=info:0, timestamp=1478027694949, value=BBB
00000000000000000000000029
column=info:1, timestamp=1478027694949, value=UUU
30 row(s)
Took 15.4920 seconds
{code}
> In-Memory MemStore Policy for Flattening and Compactions
> --------------------------------------------------------
>
> Key: HBASE-16417
> URL: https://issues.apache.org/jira/browse/HBASE-16417
> Project: HBase
> Issue Type: Sub-task
> Reporter: Anastasia Braginsky
> Assignee: Eshcar Hillel
> Fix For: 2.0.0
>
>
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