Austin:
Looks like oversight to me. As you suggest, you'd think the split point --
if present -- would be passed to the admin split call.
Mind putting up a patch sir?
Thanks,
S
On Mon, May 27, 2019 at 2:36 PM aheyne wrote:
> Hey all,
>
> We've been having good fun working with custom
TableInputFormat doesn't read the filesystem directly it essentially issues
a scan over the whole table (or the specified range) so it'll read the data
you expect to read if you'd done a scan from any client.
There is a TableSnapshotInputFormat that bypasses the hbase server itself
I can't comment whether we need every Hadoop release but at the minimum,
2.8.5 as we recently switched to it from 2.7.7. I ran into issues with
2.8.5 and 2.1.5rc0 and used workaround in
https://issues.apache.org/jira/browse/HBASE-22052 to overcome it. I guess
if 2.1 will not live past 2.1.6 then
See the comments here
https://issues.apache.org/jira/browse/HBASE-22394
Although we claim that hbase 2.1.x can work together with hadoop 3.1.x,
actually we require users to build the hbase binary with hadoop 3.1.x by
their own if they really want to use hbase together with hadoop 3.1.x
clients.
Do you have a list of files that was being opened? I'd like to know if
those are files opened for writes or for reads.
If you are on the more recent version of Hadoop (2.8.0 and above),
there's a HDFS command to interrupt ongoing writes to DataNodes (HDFS-9945
Just to be sure, if I execute Scan inside Spark, the execution is goig
through RegionServers and I get all the features of HBase/Scan (filters and
so on), all the parallelization is in charge of the RegionServers (even
I'm running the program with spark)
If I use TableInputFormat I read all the
Another little doubt it's: if I use the class TableinputFormat to read a
HBase table, Am I going to read the whole table? or data what haven't been
flushed to storefiles it's not going to be read?
El mié., 29 may. 2019 a las 0:14, Guillermo Ortiz Fernández (<
guillermo.ortiz.f...@gmail.com>)
