Loading xml data into hive table :org.apache.hadoop.hive.ql.metadata.HiveException

做~自己de王妃 提交于 2019-12-03 04:56:18

Reason for error :

1) case-1 : (your case) - xml content is being fed to hive as line by line.

input xml:

<?xml version="1.0" encoding="UTF-8"?>
<catalog>
<book>
  <id>11</id>
  <genre>Computer</genre>
  <price>44</price>
</book>
<book>
  <id>44</id>
  <genre>Fantasy</genre>
  <price>5</price>
</book>
</catalog>  

check in hive :

select count(*) from xmltable;  // return 13 rows - means each line in individual row with col xmldata  

Reason for err :

XML is being read as 13 pieces not at unified. so invalid XML

2) case-2 : xml content should be fed to hive as singleString - XpathUDFs works refer syntax : All functions follow the form: xpath_(xml_string, xpath_expression_string).* source

input.xml

<?xml version="1.0" encoding="UTF-8"?><catalog><book><id>11</id><genre>Computer</genre><price>44</price></book><book><id>44</id><genre>Fantasy</genre><price>5</price></book></catalog>

check in hive:

select count(*) from xmltable; // returns 1 row - XML is properly read as complete XML.

Means :

xmldata   = <?xml version="1.0" encoding="UTF-8"?><catalog><book> ...... </catalog>

then apply your xpathUDF like this

select xpath(xmldata, 'xpath_expression_string' ) from xmltable
vijay kumar

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:

First try to load file my add file path-to-file, that will solve your problem as It is solved in my case

Oracle XML Extensions for Hive can be used to create Hive tables over XML like this. https://docs.oracle.com/cd/E54130_01/doc.26/e54142/oxh_hive.htm#BDCUG691

then follow the below steps to get the solution as like as you want, just change the source data this

 <catalog><book><id>11</id><genre>Computer</genre><price>44</price></book></catalog>
<catalog><book><id>44</id><genre>Fantasy</genre><price>5</price></book></catalog> 

now try below steps:

select xpath(xmldata, '/catalog/book/id/text()')as id,
xpath(xmldata, '/catalog/book/genre/text()')as genre,
xpath(xmldata, '/catalog/book/price/text()')as price FROM xmltable;

now you will get ans as like this:

["11"] ["Computer"] ["44"]

["44"] ["Fantasy"] ["5"]

if you apply xapth_string, xpath_int, xpath_int udfs the you will get ans like

11 computer 44

44 Fantasy 5.

Thanks

Also ensure that the XML file doesn't contain any empty spaces at the end of the last closing tag. In my case, the source file had one, and whenever I loaded the file into hive, my resulting table contained NULLS in them. So whenever I applied an xpath function, the result would have a few of these [] [] [] [] [] []

Although the xpath_string function worked, the xpath_double and xpath_int functions never did. It kept throwing this exception -

Diagnostic Messages for this Task:
java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while processing row {"line":""}
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