RE: Apache Ignite starts fast and then become really slow with out of memory

2019-02-17 Thread nadav.hoze
Hey Ilya, Yes you are right, the LinkedHashMaps entries are the dominate part. I was concentrating on the reader because I thought there may be an implicit connection.. Those LinkedHashMaps entries are part of the object structure I'm loading to cache, if needed I can send the model code

Apache Ignite starts fast and then become really slow with out of memory

2019-02-14 Thread nadav.hoze
Hey, Guys is this normal…? So many binary readers are opened without reuse? I saw an improvement issue on this https://jira.apache.org/jira/browse/IGNITE-5721 I'm running a simple compute tasks that split around 4K ids to compute job that each one takes from cache bulk of 500

RE: Apache Ignite starts fast and then become really slow with out of memory

2019-02-20 Thread nadav.hoze
Hey, Which thread pools are responsible for the compute jobs and cache operations ? Thanks, Nadav From: Ilya Kasnacheev Sent: Wednesday, February 20, 2019 12:26 PM To: user@ignite.apache.org Subject: Re: Apache Ignite starts fast and then become really slow with out of memory

RE: Apache Ignite starts fast and then become really slow with out of memory

2019-02-19 Thread nadav.hoze
Hey Ilya, I managed to stable the memory and avoid extreme slowness by send compute jobs one by one and not in bulk. The compute jobs takes objects from cache by bulks, so I guess that firing 50 compute jobs on a node where each job takes bulk of 100 is too heavy for it to handle… My node

Compress binary object to save storage spac

2019-05-29 Thread nadav.hoze
Hello, Is there a way in ignite to compress big binary objects ? something like cacheConfiguration.setCompressed(true)? I'm using the latest ignite 2.7 Thanks, Nadav System Architect +972-544821606 DocAuthority.com