I have memory problems with aggregation queries.
my elastic version is 1.3.2
I tired to define _timestamp as doc value ,
but when I checked the mapping I can see it didn't work
It didn't happen in other fields.
Is there any known issue with timestamp field and doc values?
Lib
Have you tried this mapping?
{
"tweet" : {
"_timestamp" : {
"enabled" : true,
"format" : "YYYY-MM-dd"
}
}
I'm using specified version (13.2). I set up custom date field in my project like this and it's worked for me:
PUT 'http://127.0.0.1:9200/a252e39969665bb4d065/' -d
'{
"a252e39969665bb4d065": {
"mappings": {
"_default_": {
"properties": {
"createdDate": {
"type": "date",
"format": "dateOptionalTime"
}
}
}
}
}
}'
Please, note that i'm using default mapping here (default mapping for all types in index). You can use specified type in an index by replacing "default" in mapping.
Related
I have an EFK pipeline set up. Everyday a new index is created using the logstash-* prefix. Every time a new field is sent by Fluentd, the field is added to the index pattern logstash-*. I'm trying to create an index template that will disable indexing on a specific field when an index is created. I got this to work in ES 7.1 using the PUT below:
PUT _template/logstash-test
{
"index_patterns": ["logstash-*"],
"mappings": {
"dynamic_templates" : [
{
"params" : {
"path_match" : "params",
"mapping" : {
"enabled": false
}
}
}
]
}
}
However when I try this on Elasticsearch 6.8 I get the following error:
"type": "illegal_argument_exception",
"reason": "Malformed [mappings] section for type [dynamic_templates], should include an inner object describing the mapping"
It is a little different in Elasticsearch 6.X as it had mapping types, which is not used anymore.
Try something like this:
PUT _template/logstash-test
{
"index_patterns": ["logstash-*"],
"mappings": {
"_doc": {
"dynamic_templates" : [
{
"params" : {
"path_match" : "params",
"mapping" : {
"enabled": false
}
}
}
]
}
}
}
If your index has a different custom type and is not using the _doc type, you should use that in the mapping.
I am trying to populate dashboard in kibana with Elasticsearch data on date fields .
I have log file with dates and i find that i don't have #timestamp in it.
Here is mapping :
PUT test2
{
"settings": {
"index.mapping.ignore_malformed": true
},
"mappings": {
"my_type": {
"properties": {
"Size": {"type": "integer","ignore_malformed": true },
"Copy Size": {"type": "integer","ignore_malformed": true }
"Email Sent Time": {"type": "date"},
"Creation Time": {"type": "date"},
"Modification Time": {"type": "date"}
}
}
}
}
How to add default timestamp? To create area chart in kibana.
Once upon a time, Elasticsearch used to support adding default timestamps automatically to all documents you put in an index. The mapping was something like this when creating your index:
"mappings" : {
"_default_":{
"_timestamp" : {
"enabled" : true,
"store" : true
}
}
}
However, as you can see at this link, it was deprecated by version 5.x. Today, it is recommended to populate a regular date field with the current timestamp on application side.
I'm trying to create an index with mappings.
I need it to contain default timestamp in each of his documents.
I searched everywhere on the Internet and did exactly what they asked me. but the code does not work.
curl -X PUT "localhost:9200/demo-index-new12345" -H 'Content-Type:
application/json' -d'
{
"mappings": {
"doco" : {
"properties" : {
"test_date": {
"type": "date",
"format": "yyyy-MM-dd"
},
"test_status": {
"type": "string"
}
},
"default":{
"_timestamp" : {
"enabled" : true,
"store" : true
}
}
}
}
}
'
What version of Elasticsearch are you running? Default timestamps were deprecated in 2.x and removed. If you need a timestamp field to be on every document, you need to add a field on the mapping, call it "timestamp", or "created" or something. Then you can do one of two things:
Send "timestamp" field with the current date from your app for each document populated.
Add an ingest pipeline that your app uses. Example for setting a date field to the current time with the ingest pipeline: https://www.elastic.co/guide/en/elasticsearch/reference/current/accessing-data-in-pipelines.html#accessing-ingest-metadata. For more information on ingest pipelines, see here, here, and here
_timestamp has been deprecated, reference documentation says we should have our own fields which will have time, how we set the default value to current timestamp fields in milliseconds in ElasticSearch 6.2:
{
"properties":{
"defautlt_time":{
"type":"date",
"default_value":"current_now()"
}
}
}
You could use a "date" type and use the build in format epoch_millis
That means first change your mappings
PUT my_index
{
"mappings": {
"_doc": {
"properties": {
"default_time": {
"type": "date",
"format": "epoch_millis"
}
}
}
}
}
and then set the current time in your client.
Having the following mapping:
curl -X PUT 'localhost:9200/cambio_indice?pretty=true' -d '{
"mappings" : {
"el_tipo" : {
"properties" : {
"name" : { "type" : "string" },
"age" : { "type" : "integer" },
"read" : { "type" : "integer" }
}}}}'
If I add the following code it works perfectly even though it doesn't match with the mapping (read is missing) but ES doesn't complain.
curl -X PUT 'localhost:9200/cambio_indice/el_tipo/1?pretty=true' -d '{
"name" : "Eduardo Inda",
"age" : 23
}'
And if I add the following entry, it also works.
curl -X PUT 'localhost:9200/cambio_indice/el_tipo/2?pretty=true' -d '{
"jose" : "stuff",
"ramon" : 23,
"garcia" : 1
}'
It seems that the mapping is not taking effect on the elements I'm adding. I'm doing something wrong when I try to map my type?
This is the default behaviour of Elasticsearch and is desirable in most of the cases. But for your case, if you do not want to allow indexing of fields not defined in your mapping, you need to update the mapping and set its "dynamic" property to "strict". Basically, your mapping definition should look like below:
{
"mappings": {
"el_tipo": {
"dynamic": "strict",
"properties": {
"name": {
"type": "string"
},
"age": {
"type": "integer"
},
"read": {
"type": "integer"
}
}
}
}
}
Then if you try to index fields like "jose", "ramon" or "garcia", Elasticsearch will throw with an appropriate message saying that the dynamic addition of these fields is prohibited.
As per documentation Of ES:
By default, Elasticsearch provides automatic index and mapping when data is added under an index that has not been created before. In other words, data can be added into Elasticsearch without the index and the mappings being defined a priori. This is quite convenient since Elasticsearch automatically adapts to the data being fed to it - moreover, if certain entries have extra fields, Elasticsearch schema-less nature allows them to be indexed without any issues.
So new fields added by you will get automatically added to your mappings.
See this for more info