Hi,
Will it make any difference in terms of field data memory, if I set the
field data format to doc_values for all fields that have mapping "index" :
"no" ?
Are these (non-analyzed) fields ever loaded in memory on first place ?
Example field mapping :
"rot": {
"index": "no",
"type": "integer"
}
I don't need to query on these fields, but i need to fetch them .
Any negative impact on my queries ?
Doc values cannot be used to fetch values, they are only used for sorting,
scripts and aggregations. It is like fielddata, but computed at indexing
time and stored on disk.
Hi,
Will it make any difference in terms of field data memory, if I set the
field data format to doc_values for all fields that have mapping "index" :
"no" ?
Are these (non-analyzed) fields ever loaded in memory on first place ?
Example field mapping :
"rot": {
"index": "no",
"type": "integer"
}
I don't need to query on these fields, but i need to fetch them .
Any negative impact on my queries ?
Doc values cannot be used to fetch values, they are only used for sorting,
scripts and aggregations. It is like fielddata, but computed at indexing
time and stored on disk.
Hi,
Will it make any difference in terms of field data memory, if I set the
field data format to doc_values for all fields that have mapping "index" :
"no" ?
Are these (non-analyzed) fields ever loaded in memory on first place ?
Example field mapping :
"rot": {
"index": "no",
"type": "integer"
}
I don't need to query on these fields, but i need to fetch them .
Any negative impact on my queries ?
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