Hi,
I have a nested object JSON which I am inserting into the Elasticsearch
1.4.0.
The nested object mapping is as follows:-
{
"mappings": {
"observations": {
"properties": {
"attribute": {
"type": "nested",
"properties": {
"name": {"type": "string"},
"value": {"type": "string"},
"type": {"type": "string"}
}
}
}
}
}
}
For testing, I inserted 50,000 of such observations JSON documents(each
with 5 attributes) in Elasticsearch three times. Testing environment is
the same for all the three cases.
The output of the " *GET /_cat/indices?v *" command is given below.
Test Case - 1
health status index pri rep docs.count docs.deleted store.size
pri.store.size
green open nested 1 0 *299960 * 0 16.3mb
16.3mb
Test Case - 2
health status index pri rep docs.count docs.deleted store.size
pri.store.size
green open nested 1 0 299997 0 9.4mb
9.4mb
Test Case - 3
health status index pri rep docs.count docs.deleted store.size
pri.store.size
green open nested 1 0 300000 0 9.4mb
9.4mb
In all the three cases, the docs.count is different. Also, there is a
difference in the storage sizes.
Are data points getting lost??
My target is to store 1,000,000 data points or more. This can cause issues
as the data points grows.
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