Hi,
I have an Ignite cluster with 10nodes. Here is the snippet from one of the
ignite server log.
>>> [13:03:54] Topology snapshot [ver=11, servers=10, clients=0, CPUs=352,
>>> heap=1000.0GB]
Now I created a cache with mode PARTITIONED and loaded some data into the
cache without
Hi Sergey,
Changing the configuration to the one you proposed did the trick. I am no
longer hitting the OutOfMemoryException error. Thanks.
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I am hitting the following exception in the Ignite Client when trying to load
data into Ignite Cache. The exception says that the default policy size is
27GB but on the server configuration I have set it to much higher value.
Here is the snippet of the server configuration.
TcpDiscoveryZookeeperIpFinder#setBasePath worked. Thanks Alex.
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Hi, Is it possible to create multiple Ignite Grids using the same zookeeper
cluster nodes if I am using the Zookeeper based IpFinder to start the Ignite
clusters? If yes, how do I configure that?
Right now I find all the nodes forming the same Ignite cluster as all the
Ignite nodes uses the same
Hi, Can someone help me with this question?
1) Is there any limit on how many caches I can create in Ignite Grid?
The reason I am asking this question is because I have a huge Ignite Grid
(capacity ~3.5TB Memory) launched on Apache Yarn and I am trying to create
like 3K caches with the
Hi ,
Can someone let me know how to get the stats of the cache like how large
(like how many MB/GB) is the cache in memory (both on and off heap)?
Currently, I can only get number of entries in the cache using the
cache.size(CachePeekMode.ONHEAP), cache.size(CachePeekMode.OFFHEAP).
Thanks Val !!
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Hi, Can someone throw more light on how cache.destroy() api works?
Does the cache gets deleted immediately and is the cleared cache memory
available immediately for Ignite to use for other caches or new caches?
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I am using savePairs method of the IgniteRdd with overwrite set to true.
I am hitting the following exception when the loading of data from HDFS to
Ignite is happening.
Here is the snippet of code:
val igniteRDD = igniteContext.fromCache(cacheCfg)
igniteRDD.savePairs(inputRdd,
I am hitting the following exception when running Ignite with Spark on Yarn.
Here is the snippet of the code.
The same job runs fine in spark local mode (spark-master: local). Only
failing when running on Yarn.
val config = new IgniteConfiguration()
val tcpDiscoverySpi = new TcpDiscoverySpi()
Thanks Denis for looking into the problem.
Here are the dependencies from my build.sbt file
lazy val Versions = new {
val igniteVersion = "2.2.0"
}
libraryDependencies ++= Seq(
"org.apache.ignite" % "ignite-core" % Versions.igniteVersion,
"org.apache.ignite" % "ignite-spring" %
Thanks Denis for looking into the problem.
Here are the dependencies from my build.sbt file
val Versions = new {
val igniteVersion = "2.2.0"
}
libraryDependencies ++= Seq(
"org.apache.ignite" % "ignite-core" % Versions.igniteVersion,
"org.apache.ignite" % "ignite-spring" %
Hitting the following exception when starting the Ignite context.
Here is the snippet of the code. Also double checked that no other curator
jars are present in the class path except from the one from ignite.
Here are the versions I am using.
Apache Ignite : 2.2.0
Apache Spark: 2.1.0
Can
I am hitting this error when I add ignite-spark 2.2.0 artifact to by project.
[error] Modules were resolved with conflicting cross-version suffixes in
{file://ignite-poc/}ignite-poc:
[error]org.scalatest:scalatest _2.11, _2.10
[error]com.twitter:chill _2.11, _2.10
[error]
Any update on this ?
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I couldn't get it running with the v1.9.0.
I bumped the version to the latest v2.1.0 and could get the ignite services
up. (Zeppelin only supports v1.9.0 btw)
I am attaching my config file to this message.
default-config.xml
Looks like the files did not get uploaded correctly. I am pasting the
contents of the files here.
*Ignite default-config.xml *:
http://www.springframework.org/schema/beans;
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance;
xmlns:util="http://www.springframework.org/schema/util;
Hi Mikhail,
Thanks for the response. Here are the details you asked.
Spark Version : 2.1.0
Secondary FS : HDFS (Hadoop version : 2.6.0)
Ignite Version : 2.1.0 (built from src binaries using command : mvn clean
package -DskipTests -Dignite.edition=hadoop -Dhadoop.version=2.6.0 -Prelease
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