Hi,
I am playing with geo_shape type .
I am experiencing very slow indexing times. For example one simple
linestring with couple of hundred points could take up to 60 seconds to
index.
I tries geohash and quadtree implementations.
With quadtree it is faster (like 50% faster) , but still not fast enough.
Using Java API (bulk indexing)
Mapping:
{
"entity": {
"properties": {
"id" : {"type": "integer"},
"track" : {"type": "geo_shape","precision":"20m", "tree":
"quadtree"},
"date" : {"type": "date"}
}
}
}
My ES cluster is tuned for indexing like follows:
index.refresh_interval: 30s
index.translog.flush_threshold_ops: 100000
indices.memory.index_buffer_size:: 15%
threadpool.bulk.queue_size: 500
threadpool.bulk.size: 100
threadpool.bulk.type: fixed
Any tips how to make indexing faster ?
My estimation is that for one day data i could index it for 10 hours (and i
need to index like 3 years of data ).
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