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hazelcast-spark's Issues

Size of cache/map couldnt be increased

I have below configuration and one HC server running with that.

<map name="mycache">
       <in-memory-format>BINARY</in-memory-format>
       <statistics-enabled>true</statistics-enabled>
       <optimize-queries>true</optimize-queries>
       <cache-deserialized-values>INDEX-ONLY</cache-deserialized-values>
       <backup-count>1</backup-count>
       <async-backup-count>0</async-backup-count>
       <time-to-live-seconds>0</time-to-live-seconds>
       <max-idle-seconds>0</max-idle-seconds>
       <eviction-policy>NONE</eviction-policy>
       <max-size policy="PER_NODE">1000000</max-size>
       <eviction-percentage>25</eviction-percentage>
       <cache-deserialized-values>INDEX-ONLY</cache-deserialized-values>
       <near-cache>
           <max-size>1000000</max-size>
           <time-to-live-seconds>0</time-to-live-seconds>
           <max-idle-seconds>60</max-idle-seconds>
           <eviction-policy>LRU</eviction-policy>
           <invalidate-on-change>true</invalidate-on-change>
           <in-memory-format>BINARY</in-memory-format>
           <cache-local-entries>false</cache-local-entries>
           <eviction size="1000" max-size-policy="ENTRY_COUNT" eviction-policy="LFU"/>
       </near-cache>
   </map>

And In my Producer Spark App, I have million User records generated and saveToHazelcastMap() and count of cached rdd is a million which is as expected.

And In my Consumer Spark App, when i read cache using fromHazelcastMap(), i get only 10k records. I tried to tweak the default configs, but it didnt help. It looks like a bug to me.

java.util.NoSuchElementException: hazelcast.server.addresses

I have a spark cluster running in Amazon EMR, and I have set a tag based AwsConfig in the Hazelcast config, disabling the multicast one. Then got the following exception:

17/04/23 08:45:15 ERROR [Driver] ApplicationMaster: User class threw exception: java.util.NoSuchElementException: hazelcast.server.addresses
java.util.NoSuchElementException: hazelcast.server.addresses
	at org.apache.spark.SparkConf$$anonfun$get$1.apply(SparkConf.scala:235)
	at org.apache.spark.SparkConf$$anonfun$get$1.apply(SparkConf.scala:235)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.SparkConf.get(SparkConf.scala:235)
	at com.hazelcast.spark.connector.conf.ConfigurationProperties$.getServerAddress(ConfigurationProperties.scala:30)
	at com.hazelcast.spark.connector.conf.SerializableConf.<init>(SerializableConf.scala:8)
	at com.hazelcast.spark.connector.rdd.HazelcastRDDFunctions.<init>(HazelcastRDDFunctions.scala:18)
	at com.hazelcast.spark.connector.package$.toHazelcastRDDFunctions(package.scala:15)
	at ...

Looking at the code, I saw that the hazelcast.server.addresses is mandatory and has no default value like the README says.

Also, it seems it wouldn't work if I want to use just an external configuration file, and not add a configuration in the SparkConf.

Is it a bug or intended behavior? How do I create an hazelcast cluster based on the EMR membership?

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