I have a name
field which is a completion suggester, and indexing generates a mapper_parsing_exception
error, stating value must have a length > 0
.
There are indeed some empty values in this field. How do I accommodate them?
ignore_malformed
had no effect, either at the properties
or index
level.
I tried filtering out empty strings in the analyzer, setting a min length:
PUT /genes
{
"settings": {
"analysis": {
"filter": {
"remove_empty": {
"type": "length",
"min": 1
}
},
"analyzer": {
"keyword_lowercase": {
"type": "custom",
"tokenizer": "keyword",
"filter": [
"lowercase",
"remove_empty"
]
}
}
}
},
"mappings": {
"gene": {
"name": {
"type": "completion",
"analyzer": "keyword_lowercase"
}
}
}
}
}
Or filter empty strings as a stopword:
"remove_empty": {
"type": "stop",
"stopwords": [""]
}
Attempting to apply a filter to the name mapping generates an unsupported parameter error:
"mappings": {
"gene": {
"name": {
"type": "completion",
"analyzer": "keyword_lowercase",
"filter": "remove_empty"
}
}
}
}
This sure feels like it ought to be simple. Is there a way to do this?
Thanks!
I have faced the same issue. After some research it seems to me that currently the only option is to change data (e.g. replace empty values with some dummy non-empty values) before indexing.
But there is also good news. This issue exists on GitHub and was resolved about a month ago. It is planned to be released in version 6.4.0.