Anybody seen this in their logs?
yz_solrq_sup:stop_queue_pair:130 Stopping solrq supervisor for index
<<"search1">>
Searching using the index still works, however I am getting log notices
for most my indexes?
If you know, please tell me... Thank you!
Sincerely,
Robert
g, and multiple
installs of it, I might suggest using kerl
(https://github.com/kerl/kerl). It's an excellent tool for dealing
with the problem.
On Sat, May 21, 2016 at 12:01 PM, Robert Latko
wrote:
Hi all,
Quick question:
I have an instance with OTP18 and I want to make it a Riak Node. I
D
ls of it, I might suggest using kerl
(https://github.com/kerl/kerl). It's an excellent tool for dealing
with the problem.
On Sat, May 21, 2016 at 12:01 PM, Robert Latko wrote:
Hi all,
Quick question:
I have an instance with OTP18 and I want to make it a Riak Node. I
DL/install the OTP16 p
Hi all,
Quick question:
I have an instance with OTP18 and I want to make it a Riak Node. I
DL/install the OTP16 patch 8 for Riak 2.1.4. How then do I use make
rel to use OTP16 instead of the default OTP18??
Thanks in advance.
Sincerely,
Robert
__
Hi Saran,
I have a 5 node AWS c3.2xlarge instance cluster running ubuntu
14.04lts and I have my solr set to the below (yeah I know, but -Xmx will
never get the full 16g's!) ;
search.solr.jvm_options = -d64 -Xms1g -Xmx16g -XX:+UseG1GC
-XX:+ParallelRefProcEnabled -XX:G1HeapRegionSize=8m
-XX
it, change the conf for a ring size of 256,
then start, then stage, plan, and commit.
I am still not sure the relation ship with ring size and ring partitions.
Sincerely,
Robert
On 03/06/2016 02:10 PM, Robert Latko wrote:
Hi All,
I've got a cluster in 2.1.1 and was wanting to join a
Hi All,
I've got a cluster in 2.1.1 and was wanting to join a 2.1.3 node to it
I am getting the following error:
# ./bin/riak-admin cluster join a-backend@10.0.0.199
Failed: a-backend@10.0.0.199 has a different ring_creation_size
So... for the new 2.1.3
# ./bin/riak-admin status | grep ring
ri
Hi all,
I have used M3.2xlarge instances in the past because of the
compute(8CPU)/memory(30GB RAM)combo. I also played around with
C3.8xlarge's using similar to test against the same dataset for
performance and was able to double the performance.
I am to create a new cluster with 1.5 mil rec
e.codecs.lucene41.Lucene41PostingsWriter.encodeTerm(Lucene41PostingsWriter.java:572)
at
org.apache.lucene.codecs.BlockTreeTermsWriter$TermsWriter.writeBlock(BlockTreeTermsWriter.java:882)
at
org.apache.lucene.codecs.BlockTreeTermsWriter$TermsWriter.writeBlocks(BlockTreeTermsWriter.java:579)
Sincerely,
Robert Latko
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