To be clear, we have this load handled across 3 EC2 instances running Flume so each individually we are asking to handle 3.3k (5k). With 16GB of data in the channel, I would have expected the replay to be faster.On Wed, Aug 20, 2014 at 12:12 AM, Gary Malouf <email@example.com> wrote:
Our capacity setting is:
agent-1.channels.trdbuy-bid-req-ch1.capacity = 100000000
Our current channel size can not be accessed because it still is in this odd 'replay' mode. There's not logs, but the cpu is cranking on the flume node and the avro source ports have not yet opened. The pattern we see is that after anywhere from 15-30 minutes, the ports magically open and we can continue.
This is because we are logging around 10k messages/second and did not want to lose any data during brief interruptions.On Wed, Aug 20, 2014 at 12:02 AM, Hari Shreedharan <firstname.lastname@example.org> wrote:How large is your channel (and how long does it take to replay?)
Gary Malouf wrote:
For the record, we are using Flume 1.4.0 packaged with CDH5.0.2
On Tue, Aug 19, 2014 at 11:55 PM, Gary Malouf <email@example.com<mailto:firstname.lastname@example.org>> wrote:<http://mail-archives.apache.org/mod_mbox/flume-dev/201306.mbox/%3CCAHbPYVbmeD6pKZkDADmyaW_gC_p7cQDefPsycWKnkY72TFiAuQ@mail.gmail.com%3E>,
We are repeatedly running into cases where the replays of from a
file channel going to HDFS take an eternity.
I've read this thread
but I just am not convinced that our checkpoints are constantly
We are seeing messages such as:
20 Aug 2014 03:52:26,849 INFO [lifecycleSupervisor-1-2]
- Reading checkpoint metadata from
How can it be that this takes so long?