I am trying to bulk upload my data to ES but it ends up showing parsing exception. I want to create mapping for my index but the main problem is i have more than 70 columns in my dataset, for which specifying data type individually is not possible.
Is there any other way or do i need to set them manually?
I didn't get it, is 5 the value of count? Wasn't clear to me.Can you give a clear explanation, What exactly is count is in this case?
Which count? What do you mean ?
PUT data/_doc/1 
{ "count": 5 }
What is this count?
It's a field. It's just an example of a document which doesn't have any fixed mapping.
At the end of the page you have 2 links which introduce dynamic mapping. Did you read?
Yeah it's a little complicated for me since i am a beginner
Please read the documentation I linked to. If there's something you don't understand, feel free to ask. We are happy to help.
@dadoonet thanks for your replies,
I would like to know how would you approach to create index mapping for the data in the link:-
This is just a document and the time_stamp field is giving me hard time.
What is the mapping you'd like to have with those documents?
I have approx 50,000 entries in the time_stamp column but elastic is giving a hard time to display the correct data type for the time stamp rather ends up giving text there as well. Even when i have turned the format off. And i also did this:-
PUT my_index
{
"mappings": {
"properties": {
"date": {
"type": "date",
"format": "HH.mm.ss.SSS" #valid format in their official documentation.
}
}
}
}
But ends up showing
Rejecting mapping update to [latest] as the final mapping would have more than 1 type: [_doc, purge]
Even though i have only one entry in the index.
That's because you have already something defined in your index. Drop it.
If you still have problems please provide a full recreation script as described in About the Elasticsearch category. It will help to better understand what you are doing. Please, try to keep the example as simple as possible.
A full reproduction script will help readers to understand, reproduce and if needed fix your problem. It will also most likely help to get a faster answer.
Can you please check your private message?
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