Monthly search timeout

Hi
So we have and ELK server (1) where we are storing netflow data of 4 devices, apart from being recenlty a little slow we dont have many issues, but when we perform a search (From the dashboard tab in kibana) for more than 15 days, kibana simply timeout.
I see some logs related to overloading of the server but i have no idea what to do....
Should i scale vertically or horizontally? > I have already increased vm resources to double but they do not seem to solve the issue
Its there a way to improve the performance ?

Server Specs Actual
1 Core
RAM 3.5Gbs

Server Specs increase test
2 Core
RAM 7Gbs

Logs on the server ==================

Caused by: com.google.common.util.concurrent.UncheckedExecutionException: ElasticsearchException[CircuitBreakingException[[fielddata] Data too large, data for [netflow.ipv4_dst_addr] would be larger than limit of [2002806374/1.8gb]]]; nested: UncheckedExecutionException[CircuitBreakingException[[fielddata] Data too large, data for [netflow.ipv4_dst_addr] would be larger than limit of [2002806374/1.8gb]]]; nested: CircuitBreakingException[[fielddata] Data too large, data for [netflow.ipv4_dst_addr] would be larger than limit of [2002806374/1.8gb]];
at com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2203)
at com.google.common.cache.LocalCache.get(LocalCache.java:3937)
at com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4739)
at org.elasticsearch.indices.fielddata.cache.IndicesFieldDataCache$IndexFieldCache.load(IndicesFieldDataCache.java:183)
at org.elasticsearch.index.fielddata.plain.AbstractIndexOrdinalsFieldData.loadGlobal(AbstractIndexOrdinalsFieldData.java:86)
... 19 more

============

[2016-12-07 17:26:03,869][DEBUG][action.search ] [node-node-1] [XXXXX_netflow-2016.11.13][2], node[3TnCPr9PTdWLzulS_PlQTQ], [P], v[20], s[STARTED],$
RemoteTransportException[[node-node-1][172.28.63.7:9300][indices:data/read/search[phase/query]]]; nested: EsRejectedExecutionException[rejected execution of org$
Caused by: EsRejectedExecutionException[rejected execution of org.elasticsearch.transport.TransportService$4@5816b15e on EsThreadPoolExecutor[search, queue capacity = $
at org.elasticsearch.common.util.concurrent.EsAbortPolicy.rejectedExecution(EsAbortPolicy.java:50)
at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823)
at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369)
at org.elasticsearch.common.util.concurrent.EsThreadPoolExecutor.execute(EsThreadPoolExecutor.java:85)
at org.elasticsearch.transport.TransportService.sendLocalRequest(TransportService.java:372)
at org.elasticsearch.transport.TransportService.sendRequest(TransportService.java:327)
at org.elasticsearch.transport.TransportService.sendRequest(TransportService.java:299)
at org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteQuery(SearchServiceTransportAction.java:142)
at org.elasticsearch.action.search.SearchCountAsyncAction.sendExecuteFirstPhase(SearchCountAsyncAction.java:53)
at org.elasticsearch.action.search.AbstractSearchAsyncAction.performFirstPhase(AbstractSearchAsyncAction.java:144)
at org.elasticsearch.action.search.AbstractSearchAsyncAction.start(AbstractSearchAsyncAction.java:126)
at org.elasticsearch.action.search.TransportSearchAction.doExecute(TransportSearchAction.java:115)
at org.elasticsearch.action.search.TransportSearchAction.doExecute(TransportSearchAction.java:47)
at org.elasticsearch.action.support.TransportAction.doExecute(TransportAction.java:149)
at org.elasticsearch.action.support.TransportAction.execute(TransportAction.java:137)
at org.elasticsearch.action.support.TransportAction.execute(TransportAction.java:85)
at org.elasticsearch.action.search.TransportMultiSearchAction.doExecute(TransportMultiSearchAction.java:63)
at org.elasticsearch.action.search.TransportMultiSearchAction.doExecute(TransportMultiSearchAction.java:39)

==============

We have 8 visualizations configured, mostly Aggregation>Terms

{
"title": "New Visualization",
"type": "table",
"params": {
"perPage": 10,
"showPartialRows": false,
"showMeticsAtAllLevels": false
},
"aggs": [
{
"id": "1",
"type": "sum",
"schema": "metric",
"params": {
"field": "netflow.in_bytes"
}
},
{
"id": "2",
"type": "terms",
"schema": "bucket",
"params": {
"field": "netflow.ipv4_src_addr",
"size": 20,
"order": "desc",
"orderBy": "1"
}
}
],
"listeners": {}
}

i am attaching the mapping being use for this index

{
"template" : "XXXX-netflow9-",
"settings" : {
"number_of_shards" : 2,
"number_of_replicas" : 0,
"index.cache.field.type" : "soft",
"index.refresh_interval" : "5s",
"index.store.compress.stored" : true,
"index.query.default_field" : "message",
"index.routing.allocation.total_shards_per_node" : 2
},
"mappings" : {
"default" : {
"_all" : {"enabled" : false},
"dynamic_templates" : [ {
"message_field" : {
"match" : "message",
"match_mapping_type" : "string",
"mapping" : {
"type" : "string", "index" : "not_analyzed", "omit_norms" : true, "doc_values" : true
}
}
}, {
"string_fields" : {
"match" : "
",
"match_mapping_type" : "string",
"mapping" : {
"type" : "string", "index" : "not_analyzed", "omit_norms" : true, "doc_values" : true
}
}
} ],
"properties" : {
"@version": { "type": "string", "index": "not_analyzed" },
"@timestamp" : { "type" : "date", "format" : "date_optional_time", "omit_norms" : true, "doc_values" : true },
"version" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"flow_seq_num" : { "type": "long", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"flowset_id" : { "type": "long", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"last_switched" : { "type": "date", "format": "date_optional_time", "index": "not_analyzed", "omit_norms" : true, "doc_values": true },
"first_switched" : { "type": "date", "format": "date_optional_time", "index": "not_analyzed", "omit_norms" : true, "doc_values": true },
"in_bytes" : { "type": "byte", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"in_pkts" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"input_snmp" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"output_snmp" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"ipv4_dst_addr" : { "type": "ip" },
"ipv4_src_addr" : { "type": "ip" },
"protocol" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"src_tos" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"l4_dst_port" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"l4_src_port" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"flow_sampler_id" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"ipv4_next_hop" : { "type": "ip" },
"dst_mask" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"src_mask" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"tcp_flags" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"dst_as" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"src_as" : { "type": "integer", "index": "not_analyzed", "omit_norms" : true, "doc_values" : true },
"host" : { "type": "ip" }
}
}
}
}

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