The term filter that is used:
curl -XGET 'http://localhost:9200/my-index/my-doc-type/_search' -d '{ "filter": { "term": {"void": false} }, "fields": [["user_id1", "user_name", "date", "status", "q1", "q1_unique_code", "q2", "q3"]], "size": 50000, "sort": ["date_value"]}' - The 'void' field is a boolean field. - The index store size is 504mb. - The elastic search setup consists of only a single node and the index consists of only a single shard and 0 replicas. The version of elasticsearch is 0.90.7 - The fields mentioned above is only the first 8 fields. The actual term filter that we execute has 350 fields mentioned. *We noticed the memory spiking by about 2-3gb though the store size is only 504mb.* *Running the query multiple times seems to continuously increase the memory.* Could someone explain why this memory spike occurs? -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/7c4ea660-9411-4d1d-a86c-84f1c43f4f7e%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
