I am trying to insert records in Elasticsearch using bulk api and I am getting below error
"error": "MapperParsingException[failed to parse [created_date]]; nested: MapperParsingException[failed to parse date field [2015-07-18 13:00:22], tried both date format [dateOptionalTime], and timestamp number with locale []]; nested: IllegalArgumentException[Invalid format: \"2015-07-18 13:00:22\" is malformed at \" 13:00:22\"]; "
while I am passing below date
"created_date":"2015-07-18 13:00:22"
and below mapping is used
"created_date": {
"format": "yyyy-MM-DD HH:mm:ss",
"type": "date"
},
I can see that date is correct and mapping is also correct, error is giving for this particular record only and other records are inserted successfully. What could be the reason?
I doubt your mapping has been applied to the field you are expecting.
Logs says tried both date format [dateOptionalTime], and timestamp number with locale []
It does not say that it tries yyyy-MM-DD HH:mm:ss.
May be your created_date is another created_date field?
use "created_date":"2015-07-18T13:00:22"
It may help You
Related
I have a date column in my table that I fetch using jdbc input in logstash. The problem is logstash gives a wrong value to elasticsearch stack.
For example if I have a date start_date="2018-03-01" in elasticsearch I would get the value "2018-02-28 23:00:00.000".
What I want is to keep the format of start_date or at least output the value "2018-03-01 00:00:00.000" to elasticsearch.
I tried to use this filter :
date {
timezone => "UTC"
match => ["start_date" , "ISO8601", "yyyy-MM-dd HH:mm:ss"]
}
but it didn't work.
It is because, you are trying to convert it to UTC timezone. You need to change your configuration like this:
date {
match => ["start_date" , "yyyy-MM-dd"]
}
This would be enough to parse your date.
Let me know if that works.
I have a date field defined in index as
"_reportDate": {
"type": "date",
"format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
}
and I have a query to query from _source field which gives _reportDate field in string of 2015-12-05 01:05:00.
I can't seems to find a way to get date in different date format during query retrieval apart from using script field (which is not preferable). From what I understand a date field will be parse to long value to be indexed in elastic search, can we retrieve the long value as well during elasticsearch query?
You need to store the field and at search time ask for this stored field.
If it does not work you can always apply the script at index time with ingest feature and a script processor.
I'm parsing a log that have previously loaded in my localhost and I would like to get the event date field in each row as a timestamp, but kibana only can gets it as a string.
Example:
I have this event
2016/09/27 13:33:49.701 GMT(09/27 15:33:49 +0200) INFO BILLINGGW ConvergysDelegate.getCustomer(): Calling getCustomerFromCache: 0001:606523
It was loaded on September 27th 2016, 16:04:53.222, but the logdate field (the event date) is: 2016/09/27 13:33:49.701.
On logstash filter I defined:
(?<logdate>%{NUMBER:year}/%{NUMBER:month}/%{NUMBER:day} %{HOUR:hday}:%{MINUTE:min}:%{SECOND:sec}) %{GREEDYDATA:result}
I also proved with:
(?<logdate>%{YEAR:year}/%{MONTHNUM:month}/%{MONTHDAY:day} %{HOUR:hday}:%{MINUTE:min}:%{SECOND:sec}) %{GREEDYDATA:result}
And kibana reads logdate like string. How can I get that kibana could read it as timestamp?
I proved only with the date:
(?<logdate>%{NUMBER:year}/%{NUMBER:month}/%{NUMBER:day})
and Kibana interpreted it properly like timestamp, but the problem is how to add correctly the hours, minutes and seconds to the logdate field.
Could anyone help me?
Best regards.
You'll have to convert from a string to a timestamp, using the date filter.
date {
match => [ "logdate", "yyyy/MM/dd HH:mm:ss"]
}
This will attempt to parse the logdate field with this date pattern yyyy/MM/dd HH:mm:ss and, if successful, will replace the #timestamp field with the result. You can specify another field for the parsed date with the target option.
I'm using Kibana version 4.4.1 with ES 2.2.0 from the Debian repos.
I have a field with the following type defined:
"InvitationTime" : {
"type" : "date",
"format" : "dd/MM/yyyy HH:mm:ss Z"
}
I created a data table visualization with a date histogram aggregation on this field:
When I click on one of the dates to filter though, I get an error where it tries to parse the millis-since-epoch value of the field in my field format:
Is this a bug or am I doing something wrong?
Thanks
Wong
You need to modify your mapping with the following format instead:
"format" : "dd/MM/yyyy HH:mm:ss Z||epoch_millis"
You also need to recreate your index and re-index your data. It should work fine.
I have an Elasticsearch index with the following mapping:
"pickup_datetime": {
"type": "date",
"format": "dateOptionalTime"
}
Here is an example of a date contained in the file that is being read in
"pickup_datetime": "2013-01-07 06:08:51"
I am using Logstash to read and insert data into ES with the following lines to attempt to convert the date string into the date type.
date {
match => [ "pickup_datetime", "yyyy-MM-dd HH:mm:ss" ]
target => "pickup_datetime"
}
But the match never seems to occur.
What am I doing wrong?
It turns out the date filter was before the csv filter, where the columns get named, hence the date filter was not finding the pickup_datetime column since it had not yet been named.
It might be a good idea to clearly mention the sequentiality of the filters in the documentation to avoid others having similar problems in the future.