Sorry, my mistake. I realized it was a networking issue. Its fixed now.
What ports should I be whitelisting for the setup to work in a firewall?
On Mon, Mar 21, 2016 at 11:33 AM, babu prasad <babu...@gmail.com> wrote:
> Thank you!
> Here is the configuration.
>
Hi,
I am trying to automate ignite cluster build.
I am using apache-ignite-fabric-1.5.0.final-bin.zip.
Looks like the nodes are starting up as individual nodes and not as part of
the cluster.
I tried using both the AWS configuration(using S3) and static IP and I am
still running into the issue
And finally you should verify that network works well in your environment.
> Do you have 10G ethernet?
>
> D.
>
>> On Tue, Jan 12, 2016 at 8:27 PM, babu prasad <babu...@gmail.com> wrote:
>> Hi,
>>
>> I have configured 2 ignite servers with a heap siz
Hi,
I almost got Ignite client running on AWS Lambda.
But then, I hit this error,
Caused by: class org.apache.ignite.IgniteCheckedException: Failed to
bind time server socket within specified port range
[locHost=ip-10-0-73-203.ec2.internal/10.0.73.203, startPort=31100,
endPort=31199]
at
I was using Amazon EMR. Looks like there 1.4 jars.
Copied over the 1.5 jars, created a new ignite-jdbc.xml and updated the
jdbc url to use the new jdbc url.
Did the trick!
On Sun, Jan 17, 2016 at 3:50 PM, babu prasad <babu...@gmail.com> wrote:
> Hi,
>
> I have been trying to
Hi,
I have been trying to setup Zeppelin to talk to Apache Ignite, but no
success.
I have my ignite servers running on remote nodes.
I keep getting this error.
I followed this documentation to set it up -
http://apacheignite.gridgain.org/v1.1/docs/data-analysis-with-apache-zeppelin
ERROR
Thanks! This may still not help because my underlying datastore is a warehouse
where only batch queries are efficient,
Also, it looks like the key to partition mapping could change if the no of
partitions in the aff function , which will result in unnecessary backfills.
I think I might need to
Does ignite compress data in memory or is the data stored as such?
If there is no default compression, do you intend to provide an option at a
later point?
While storing large amounts of data in a distributed cache, compression may
help a lot.
I was loading data from AWS Redshift into Ignite through the loadcache API.
cache.loadCache(null, "java.lang.Integer", "select * from lineorder where
lo_orderdate > 19970101");
I ran this from a single client. The query basically ran on all the nodes.
I had 1 client and 2 servers and the same
Hi,
I have configured 2 ignite servers with a heap size of 8G each.
Running with backups=1 and primary_sync mode.
Ignite servers are being used as a write behind cache for my Aurora
database.
I am trying to run a load test with 3 clients talking to the remote cache
in the 2 ignite servers.
All
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