Optimizing indexing of documents containing large number of objects

Is there any way to make indexing of documents with large number of nested objects less dependent on memory? I need to index documents containing array with up to million objects with this mapping: 'myobject': { 'properties': { 'name': {'type': 'string'},

Updating single field in large documents

What strategy could one do when you need to frequently update single field in large document? What can you do to improve update performance in case like that? Thanks -- You received this message because you are subscribed to the Google Groups elasticsearch group. To unsubscribe from this

Is aggregation of nested objects affected by properties in parent object?

Will performance of aggregation operations on nested objects be affected by properties in parent object? In other words, if i add more properties to parent objects (which i don't use in aggregation query), will performance drop? Thanks -- You received this message because you are subscribed