yes there is. Each document has a UUID as its identifier. The actual output of
my map reduce job that produces the list of person names looks like this
docId Name
Type length offset
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Lea PERSON 3 10858
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Lea PERSON 3 11063
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Ken PERSON 3 11186
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Marottoli PERSON 9 11234
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Berkowitz PERSON 9 17073
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Lea PERSON 3 17095
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Stephanie PERSON 9 17330
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Putt PERSON 4 17340
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Stephanie PERSON 9 17347
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Stephanie PERSON 9 17480
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Putt PERSON 4 17490
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Berkowitz PERSON 9 19498
f83c6ca3-9585-4c66-b9b0-f4c3bd57ccf4 Stephanie PERSON 9 19530
Use the following code to produce a table inside Hive.
DROP TABLE IF EXISTS entities_extract;
CREATE TABLE entities_extract (doc_id STRING, name STRING, type STRING, len
INT, offset BIGINT)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LINES TERMINATED BY '\n'
STORED AS TEXTFILE
LOCATION '/research/45924/hive/entities_extract';
LOAD DATA LOCAL INPATH
'/home/researcher/hadoop-runnables/files/entitie_extract_by_doc.txt' OVERWRITE
INTO TABLE entities_extract;
On Feb 3, 2013, at 8:07 PM, John Omernik <j...@omernik.com> wrote:
> Is there some think akin to a document I'd so we can assure all rows
> belonging to the same document can be sent to one mapper?
>
> On Feb 3, 2013 1:00 PM, "Martijn van Leeuwen" <icodesh...@gmail.com> wrote:
> Hi John,
>
> Here is some background about my data and what I want as output.
>
> I have a 215K documents containing text. From those text files I extract
> names of persons, organisations and locations by using the Stanford NER
> library. (see http://nlp.stanford.edu/software/CRF-NER.shtml)
>
> Looking at the following line:
>
> Jan Janssen was on this way to Klaas to sell vehicle Jan Janssen stole from
> his father.
>
> when the classifier is done annotating the line looks like this:
>
> <PERSON>Jan<PERSON><OFFSET>0<OFFSET> <PERSON>Janssen<PERSON><OFFSET>5<OFFSET>
> was on this way to <PERSON>Klaas<PERSON><OFFSET>26<OFFSET> to sell the
> vehicle <PERSON>Jan<PERSON><OFFSET>48<OFFSET>
> <PERSON>Janssen<PERSON><OFFSET>50<OFFSET> stole from his father.
>
> When looping through this annotated line you can save the persons and its
> offsets, please note that offset is a LONG value, inside a Map for example:
>
> MAP<STRING, LONG> entities
>
> Jan, 0
> Janssen, 5
> Klaas, 26
> Jan, 48
> Janssen, 50
>
> Jan Janssen in the line is actually the one person and not two. Jan occurs at
> offset 0, to determine if Janssen belongs to Jan I could subtract the length
> of Jan (3) + 1 (whitespace) from Janssen's offset (5) and if outcome isn't
> greater then 1 then combine the two person into one person.
>
> (offset Jansen) - (offset Jan + whitespace) not greater then 1
>
> If this is true then combine the two person and save this inside a new
> MAP<STRING, LONG[]> like
> Jan Janssen, [ 0 ].
>
> The next time we come across Jan Janssen inside the text then just save the
> offset. Which produces the following MAP<STRING, LONG[]>
>
> Jan Janssen, [0, 48]
>
> I hope this clarifies my question.
> If things are still unclear please don't hesitate to ask me to clarify my
> question further.
>
> Kind regards,
> Martijn
>
> On Feb 3, 2013, at 1:05 PM, John Omernik <j...@omernik.com> wrote:
>
>> Well there are some methods that may work, but I'd have to understand your
>> data and your constraints more. You want to be able to (As it sounds) sort
>> by offset, and then look at the one row, and then the next row, to determine
>> if the the two items should be joined. It "looks" like you are doing a
>> string comparison between numbers ("100 "to "104" there is only one
>> "position" out of three that is different (0 vs 4). Trouble is, look at id
>> 3 and id 4. 150 to 160 is only one position different as well, are you
>> looking for Klaas Jan? Also, is the ID fields filled from the first match?
>> It seems like you have some very odd data here. I don't think you've
>> provided enough information on the data for us to be able to help you.
>>
>>
>>
>> On Sat, Feb 2, 2013 at 1:21 PM, Martijn van Leeuwen <icodesh...@gmail.com>
>> wrote:
>> Hi all,
>>
>> I new to Apache Hive and I am doing some test to see if it fits my needs,
>> one of the questions I have if it is possible to "peek" for the next row in
>> order to find out if the values should be combined. Let me explain by an
>> example.
>>
>> Let say my data looks like this
>>
>> Id name offset
>> 1 Jan 100
>> 2 Janssen 104
>> 3 Klaas 150
>> 4 Jan 160
>> 5 Janssen 164
>>
>> An my output to another table should be this
>>
>> Id fullname offsets
>> 1 Jan Janssen [ 100, 160 ]
>>
>> I would like to combine the name values from two rows where the offset of
>> the two rows are no more then 1 character apart.
>>
>> Is this type of data manipulation is possible and if it is could someone
>> point me to the right direction hopefully with some explaination?
>>
>> Kind regards
>> Martijn
>>
>
