I\'m trying to load XML data into Hive but I\'m getting an error :
java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runt
Find Jar here -- > Brickhouse ,
sample example here --> Example
similar example in stackoverflow - here
Solution:
--Load xml data to table
DROP table xmltable;
Create TABLE xmltable(xmldata string) STORED AS TEXTFILE;
LOAD DATA lOCAL INPATH '/home/vijay/data-input.xml' OVERWRITE INTO TABLE xmltable;
-- check contents
SELECT * from xmltable;
-- create view
Drop view MyxmlView;
CREATE VIEW MyxmlView(id, genre, price) AS
SELECT
xpath(xmldata, 'catalog/book/id/text()'),
xpath(xmldata, 'catalog/book/genre/text()'),
xpath(xmldata, 'catalog/book/price/text()')
FROM xmltable;
-- check view
SELECT id, genre,price FROM MyxmlView;
ADD jar /home/vijay/brickhouse-0.7.0-SNAPSHOT.jar; --Add brickhouse jar
CREATE TEMPORARY FUNCTION array_index AS 'brickhouse.udf.collect.ArrayIndexUDF';
CREATE TEMPORARY FUNCTION numeric_range AS 'brickhouse.udf.collect.NumericRange';
SELECT
array_index( id, n ) as my_id,
array_index( genre, n ) as my_genre,
array_index( price, n ) as my_price
from MyxmlView
lateral view numeric_range( size( id )) MyxmlView as n;
Output:
hive > SELECT
> array_index( id, n ) as my_id,
> array_index( genre, n ) as my_genre,
> array_index( price, n ) as my_price
> from MyxmlView
> lateral view numeric_range( size( id )) MyxmlView as n;
Automatically selecting local only mode for query
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Execution log at: /tmp/vijay/.log
Job running in-process (local Hadoop)
Hadoop job information for null: number of mappers: 0; number of reducers: 0
2014-07-09 05:36:45,220 null map = 0%, reduce = 0%
2014-07-09 05:36:48,226 null map = 100%, reduce = 0%
Ended Job = job_local_0001
Execution completed successfully
Mapred Local Task Succeeded . Convert the Join into MapJoin
OK
my_id my_genre my_price
11 Computer 44
44 Fantasy 5
Time taken: 8.541 seconds, Fetched: 2 row(s)
Adding-more-info as requested by Question owner: