Hi all,

we today got (for the first time) warning messages which seem to indicate a 
memory problem:
[2015-03-24 09:08:12,960][WARN ][monitor.jvm              ] [Danger] 
[gc][young][413224][18109] duration [5m], collections [1]/[5.3m], total 
[5m]/[16.7m], memory [7.9gb]->[3.7gb]/[9.8gb], all_pools {[young] 
[853.9mb]->[6.1mb]/[1.1gb]}{[survivor] [149.7mb]->[0b]/[149.7mb]}{[old] 
[6.9gb]->[3.7gb]/[8.5gb]}
[2015-03-24 09:08:12,960][WARN ][monitor.jvm              ] [Danger] 
[gc][old][413224][104] duration [18.4s], collections [1]/[5.3m], total 
[18.4s]/[58s], memory [7.9gb]->[3.7gb]/[9.8gb], all_pools {[young] 
[853.9mb]->[6.1mb]/[1.1gb]}{[survivor] [149.7mb]->[0b]/[149.7mb]}{[old] 
[6.9gb]->[3.7gb]/[8.5gb]}
[2015-03-24 09:08:15,372][WARN ][monitor.jvm              ] [Danger] 
[gc][young][413225][18110] duration [1.4s], collections [1]/[2.4s], total 
[1.4s]/[16.7m], memory [3.7gb]->[5gb]/[9.8gb], all_pools {[young] 
[6.1mb]->[2.7mb]/[1.1gb]}{[survivor] [0b]->[149.7mb]/[149.7mb]}{[old] 
[3.7gb]->[4.9gb]/[8.5gb]}
[2015-03-24 09:08:18,192][WARN ][monitor.jvm              ] [Danger] 
[gc][young][413227][18111] duration [1.4s], collections [1]/[1.8s], total 
[1.4s]/[16.7m], memory [5.8gb]->[6.2gb]/[9.8gb], all_pools {[young] 
[845.4mb]->[1.2mb]/[1.1gb]}{[survivor] 
[149.7mb]->[149.7mb]/[149.7mb]}{[old] [4.9gb]->[6gb]/[8.5gb]}
[2015-03-24 09:08:21,506][WARN ][monitor.jvm              ] [Danger] 
[gc][young][413229][18112] duration [1.2s], collections [1]/[2.3s], total 
[1.2s]/[16.7m], memory [7gb]->[7.3gb]/[9.8gb], all_pools {[young] 
[848.6mb]->[2.1mb]/[1.1gb]}{[survivor] 
[149.7mb]->[149.7mb]/[149.7mb]}{[old] [6gb]->[7.2gb]/[8.5gb]}

We're using ES 1.4.2 as a single node cluster, ES_HEAP is set to 10g, other 
settings are defaults. From previous posts related to this issue, it is 
said that field data cache may be a problem.

Requesting */_nodes/stats/indices/fielddata *says:
{
   "cluster_name": "my_cluster",
   "nodes": {
      "ILUggMfTSvix8Kc0nfNVAw": {
         "timestamp": 1427188716203,
         "name": "Danger",
         "transport_address": "inet[/192.168.110.91:9300]",
         "host": "xxx",
         "ip": [
            "inet[/192.168.110.91:9300]",
            "NONE"
         ],
         "indices": {
            "fielddata": {
               "memory_size_in_bytes": 64822224,
               "evictions": 0
            }
         }
      }
   }
}

Running top results in:
PID USER      PR  NI  VIRT  RES  SHR S   %CPU %MEM    TIME+  COMMAND
12735 root   20   0 15.8g  10g    0 S     74 13.2   2485:26 java

Any ideas what to do? If possible I would rather avoid increasing ES_HEAP 
as there isn't that much free memory left on the host.

Regards,

Abid

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