Hi!
I am experimenting with v2.1 persistence store enabled.
1. Created 8 caches and pumped data into them.
2. Restarted the ignite cluster.
3. Waited for all server nodes to join the cluster.
4. called Ignite.active(true);
I observed the cluster activation time is more than 1 hour with the
Hi,
1. Persistence and Data Eviction are alternative options to handle
out-of-memory scenarios.Persistence makes Ignite fill all available RAM and
move the oldest page to the “disk” part of the cache when there is not enough
memory.
Data eviction policy makes Ignite to completely remove some
Hi,
Provided configuration works as expected on Ignite version 2.1.
On my side, in this configuration, I got 3 memory segment allocations.
Have you tried requesting cache.size() after populating the cache?
Please provide the full configuration files so as I could check them.
Kind regards,
Alex.
Hi Rodrigo,
I'm not sure how Flink works, but to write to IGFS you need to use special
implantation of HDFS:
fs.igfs.impl
org.apache.ignite.hadoop.fs.v1.IgniteHadoopFileSystem
fs.AbstractFileSystem.igfs.impl
org.apache.ignite.hadoop.fs.v2.IgniteHadoopFileSystem
Hi Rodrigo,
I'm not sure how Flink works, but to write to IGFS you need to use special
implantation of HDFS:
fs.igfs.impl
org.apache.ignite.hadoop.fs.v1.IgniteHadoopFileSystem
fs.AbstractFileSystem.igfs.impl
org.apache.ignite.hadoop.fs.v2.IgniteHadoopFileSystem
Hello,
the cache counts that are shown in Visor seem to be twice the number that is
expected.
I am using ver. 2.1.0#20170720-sha1:a6ca5c8a, with native persistence.
For a replicated cache, with 363 objects loaded (select count(*) returns 363):
Nodes for: FabricCache(@c0)
Path for log files is ${IGNITE_HOME}/work/log/, as specified in the log4j
file. If log4j logger is used and if configuration was not changed, then
most likely the change to IGNITE_HOME property variable you made was not
picked by the process. You can check it in the log - Ignite prints out
Hi Roger,
It's a known issue and fixed in master. You can try to build from there or
check the latest nightly build:
https://builds.apache.org/view/H-L/view/Ignite/job/Ignite-nightly/lastSuccessfulBuild/
-Val
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Ravi,
Have you seen the Hadoop Accelerator?
https://apacheignite-fs.readme.io/docs/hadoop-accelerator
It also provides custom implementation of MR engine.
-Val
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Ravi,
If you need to speed up SQL, you should make sure Ignite uses indexes to
execute queries. I think you can do the following:
- Create Hive RDD and map it to RDD of key value pairs.
- Create new IgniteRDD on top of a cache and use IgniteRDD#savePairs method
to load data from Hive to Ignite.
-
Hi,
Please share full logs from all nodes so I can help in investigating of your
problem.
Evgenii
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Thank you.
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Hi all,
I intend to use log4j for Apache Ignite logging. The steps I followed are
1) add maven dependency of
org.apache.ignite
ignite-log4j
2.0.0
2) set the following in IgniteConfiguration file
Folks,
I’ve updated the documentation avoiding any misunderstanding - " If Ignite
Persistence is enabled then the page-based evictions have no effect because the
oldest pages will be evicted from RAM automatically if there is not enough
space available.”
Hi
Thanks for the details. I have sent the email to subscribe now and got
confirmation back. The reason i have asked the question about Tez and LLAP
is apache hive community has deprecated the MR as execution engine and
moving towards Tez and LLAP, Will Ignite have equivalent In Memory Tez/LLAP
Hi Val,
Can you help me out with the configuration change for log4j ? I have
provided the value of LOG_HOME in environment variables in eclipse. Here is
what I have
I am having similar problem setting
Val, please see thread print attached.
This is take after a server is run by "bin\ignite.bat
config\ignite-writebehind.xml" and the service initialization didn't
complete.
Thank you very much for helping out!
"srvc-deploy-#33%null%" #59 prio=5 os_prio=0 tid=0x577b8000
nid=0x1ef8 waiting
Val, thanks for pointing it out. Now I call AtomicLong Function from
service#execute() and it's working. Thank you very much!
Jessie
On Thu, Aug 10, 2017 at 3:08 PM, vkulichenko
wrote:
> Jessie,
>
> You still call atomicLong() method from Service#init(). As I
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