Optimizing indexing of documents containing large number of objects

Elastic Stack Elasticsearch
1

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'},
        'foo': {'type': 'long'},
        'bar': {'type': 'long'}
    }
}

I have set mapping field _all to{"enabled" : false}, and it helped a lot,
but for biggest files i still get OutOfMemoryError.
I tried setting type both to "object" and "nested".

Any tips?

Thanks

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