Recently, I have increased two disks on a single datanode . I encountered a
problem, in hdfs, part of the last contact value increases, resulting in hbase
the handler is occupied.
The datanode prints the log as follows:
2016-12-21 10:13:50,816 WARN
Congratulations and welcome Guanghao!
--
Cloudera, Inc.
On Wed, Dec 21, 2016 at 5:29 PM, Honghua Feng 冯宏华
wrote:
> Congratulations and welcome Guanghao!
>
> 发件人: saint@gmail.com 代表 Stack
Congratulations and welcome Guanghao!
发件人: saint@gmail.com 代表 Stack
发送时间: 2016年12月21日 2:01
收件人: HBase Dev List
抄送: hbase-user
主题: Re: [ANNOUNCE] New HBase committer Guanghao Zhang
Welcome Guanghao!
St.Ack
On
I am using hbase version 1.1.1
Also I didn't understand something here. Whenever a scanner.next() is
called it needs to return rows(based on caching value) within leasing
period or else scanner client will be closed eventually throwing this
exception. Correct me as I didn't get the clear
Which hbase release are you using ?
There is heartbeat support when scanning.
Looks like the version you use doesn't have this support.
Cheers
> On Dec 21, 2016, at 4:02 AM, Rajeshkumar J
> wrote:
>
> Hi,
>
> Thanks for the reply. I have properties as below
If your client caching is set to a large value, you will need to do a long scan
occasionally, and the rpc itself will be expensive in terms of IO. So it's
worth looking at hbase.client.scanner.caching to see if it is too large. If
you're scanning the whole table check you aren't churning the
Hi,
Thanks for the reply. I have properties as below
hbase.regionserver.lease.period
90
hbase.rpc.timeout
90>/value>
Correct me If I am wrong.
I know hbase.regionserver.lease.period, which says how long a scanner
lives between calls to scanner.next().
As
It means your lease on a region server has expired during a call to
resultscanner.next(). This happens on a slow call to next(). You can either
embrace it or "fix" it by making sure hbase.rpc.timeout exceeds
hbase.regionserver.lease.period.
https://richardstartin.com
On 21 Dec 2016, at 11:30,
Hi,
I have faced below issue in our production cluster
org.apache.hadoop.hbase.regionserver.LeaseException:
org.apache.hadoop.hbase.regionserver.LeaseException: lease '166881' does
not exist
at org.apache.hadoop.hbase.regionserver.Leases.removeLease(Leases.java:221)
at
Hello Guys,
I would like to understand different approach for Distributed Incremental
load from HBase, Is there any *tool / incubactor tool* which satisfy
requirement ?
*Approach 1:*
Write Kafka Producer and maintain manually column flag for events and
ingest it with Linkedin Gobblin to HDFS /
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