Hi,
Es-Hadoop doesn't perform strict mapping - it uses the Hive mapping to infer the JSON types used by the document which
in turn are interpreted by Elasticsearch, which by default, will try to figure out the type of the data sent, in your
case, a timestamp.
The solution to this is create the mapping before hand in Elasticsearch - this gives you full control over what fields
and types you want (not to mention indexing options,etc).
This is discussed at length in the docs as well - see
http://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/mapping.html#mapping-date
Cheers,
On 4/9/14 9:31 PM, P lva wrote:
Hello,
I have an event timestamp in hive table which I'm breaking into
evnt_time(timestamp) and an evnt_date(string) columns.
The idea is to use the evnt_time as timestamp in kibana and be able to search
for date and stack one day on top of
another in a histogram plot in kibana. Eventually giving me comparison between
two days as a stacked chart.
As per elasticsearch-hive documentation, strings in hive will be of type string
in elasticsearch also. However when I
load data into elasticsearch the date column is being considered as timestamp.
How do I prevent this ? Please share if you have any ideas on how to get a
stacked chart.
Thanks
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