Not certain what you are referring to so I expect not. I have used the
elasticsearch mappings, but I cant see how those would directly integrate
with Tika.

On Fri, Mar 13, 2015 at 10:35 AM, Austin Harmon <[email protected]>
wrote:

> Thank you for the information. This going to be very difficult I can tell.
> Do you have experience with the mapper attachment?
>
> On Friday, March 13, 2015 at 11:15:18 AM UTC-5, Aaron Mefford wrote:
>>
>> Your going to have the same issue with SOLR, putting the contents in to
>> XML which is even heavier than JSON.
>>
>> I wish that I had some more experience using Tika, I do not.  I am aware
>> of its capabilities but have not had reason to myself.
>>
>> I see what you are saying about others not having the same issue, but
>> what you must realize is that most users are not indexing that type of
>> document.  They are indexing events, database records, web pages and so
>> on.  It is a very small subset that index things like word docs and pdfs.
>>
>> On Fri, Mar 13, 2015 at 9:42 AM, Austin Harmon <[email protected]>
>> wrote:
>>
>>> Thank you for the information. I've been trying to use the mapper
>>> attachment which has Apache Tika built into it. I am just surprised and
>>> confused that so many companies use elasticsearch but yet it is so
>>> difficult to index the contents of a document. If I need to index the
>>> contents of documents then would it be easier and more efficient to switch
>>> over to Apache Solr? As I said I have 2TB of data so it isn't efficient for
>>> me to manually input each document so it can be indexed with specific JSON.
>>> If you have any experience with Solr please let me know if it would be a
>>> good solution to my problem.
>>>
>>> thanks,
>>> Austin
>>>
>>> On Thursday, March 12, 2015 at 4:04:29 PM UTC-5, Aaron Mefford wrote:
>>>>
>>>> Take a look at Apache Tika http://tika.apache.org/
>>>> <http://www.google.com/url?q=http%3A%2F%2Ftika.apache.org%2F&sa=D&sntz=1&usg=AFQjCNFq7mCziZJJYGt9JOe_w89GwPFWng>.
>>>> It will allow you to extract the contents of the documents for indexing,
>>>> this is outside of the scope of the ElasticSearch indexing.  A good tool to
>>>> make these files downloadable is also out of scope, but I'll answer to what
>>>> is in scope.  You need to put the files some where that they can be
>>>> accessed by a URL.  Any webserver is capable of this, of course your needs
>>>> may very but this isnt the list for those questions.  Once you have a URL
>>>> that the document can be accessed by, include that in your indexing of the
>>>> document so that you can point to that URL in your search results.
>>>>
>>>> I am sure there are other options out there for extracting the contents
>>>> of word documents, Apache Tika is one that is frequently used for this
>>>> purpose though.
>>>>
>>>> On Thu, Mar 12, 2015 at 2:56 PM, Austin Harmon <[email protected]>
>>>> wrote:
>>>>
>>>>> Okay so I have a large amount of data 2 TB and its all microsoft
>>>>> office documents and pdfs and emails. What is the best way to go about
>>>>> indexing the body of these documents so making the contents of the 
>>>>> document
>>>>> searchable. I tried to use the php client but that isn't helping and I 
>>>>> know
>>>>> there are ways to convert files in php but is there nothing available that
>>>>> takes in these types of documents? I tried the file_get_contents function
>>>>> in php but it only takes in text documents. Also would you know of a good
>>>>> tool or a method to make the files that are searched downloadable?
>>>>>
>>>>> Thanks,
>>>>> Austin
>>>>>
>>>>>
>>>>> On Thursday, March 12, 2015 at 12:26:13 PM UTC-5, [email protected]
>>>>> wrote:
>>>>>>
>>>>>> Yes you need to include all the text you want indexed and searchable
>>>>>> as part of the JSON.
>>>>>>
>>>>>> How else would you expect ElasticSearch to receive the data?
>>>>>>
>>>>>> Regarding large scale production environments, this is why
>>>>>> ElasticSearch scales out.
>>>>>>
>>>>>> Aaron
>>>>>>
>>>>>> On Wednesday, March 11, 2015 at 12:50:25 PM UTC-6, Austin Harmon
>>>>>> wrote:
>>>>>>>
>>>>>>> Hello,
>>>>>>>
>>>>>>> I'm trying to get an understand of the how to have full text search
>>>>>>> on the document and have the body of the document be considered during
>>>>>>> search. I understand how to do the mapping and use analyzers but what I
>>>>>>> don't understand is how they get the body of the document. If your 
>>>>>>> fields
>>>>>>> are file name, file size, file path, file type how do the analyzers get 
>>>>>>> the
>>>>>>> body of the document. Surely you wouldn't have to put the body of every
>>>>>>> document into the JSON, that is how I've seen it done in all the 
>>>>>>> examples
>>>>>>> I've seen but that doesn't make sense for large scale production
>>>>>>> environments. If someone could please give me some  insight as to how 
>>>>>>> this
>>>>>>> process works it would be greatly appreciated.
>>>>>>>
>>>>>>> Thank you,
>>>>>>> Austin Harmon
>>>>>>>
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