As I've been trying to explain in Slack:
1. Are you including the salt in the data that you are writing, such
that you are spreading the data across all Regions per their boundaries?
Or, as I think you are, just creating split points with this arbitrary
"salt" and not including it when you write data?
If, as I am assuming, you are not, all of your data will go into the
first or last region. If you are still not getting my point, I'd suggest
that you share the exact splitpoints and one rowkey that you are writing
to HBase. That will make it quite clear if my guess is correct or not.
2. The number of Regions controls the number of RegionServers that will
be involved with reads/writes against that table. This is a calculation
that you need to figure out based on your cluster configuration and the
magnitude of your workload.
On 8/30/18 1:11 AM, Manjeet Singh wrote:
Hi All,
I have two Question
*Question 1 : *
I want to understand how rowkey distribution happen if I create my table
with out applying any policy but opting prefix salting.
Example I have rowkey like
SALT_ID_DayStartTimestamp_DayEndTimeStamp_IDTimeStamp
So it will look like as below
*_99_1516838400_1516924800_1516865160
Question is : now I can not see that my data is getting distributed only
because of salt.
So does I have only choice of pre splitting? Or do I have any other option?
I have seen two more approaches
i.e.
hbase org.apache.hadoop.hbase.util.RegionSplitter test_table HexStringSplit
-c 10 -f f1
I guess its scope is limited as number of region created at the time table
creation and it will fix? Not sure.
and
*UniformSplit
<https://hbase.apache.org/0.94/apidocs/org/apache/hadoop/hbase/util/RegionSplitter.UniformSplit.html>*
*Second 2: Does number of split point anywhere related to the number of RS
in cluster, If yes what is the calculation? *
