We have XML data loaded into Hadoop as a single string column named XML. We are trying to retrieve to levels of data an normalize or explode it into single rows for processing (you know, like a table!) Have tried explode function, but not getting exactly what we want.
<Reports>
<Report ID="1">
<Locations>
<Location ID="20001">
<LocationName>Irvine Animal Shelter</LocationName>
</Location>
<Location ID="20002">
<LocationName>Irvine City Hall</LocationName>
</Location>
</Locations>
</Report>
<Report ID="2">
<Locations>
<Location ID="10001">
<LocationName>California Fish Grill</LocationName>
</Location>
<Location ID="10002">
<LocationName>Fukada</LocationName>
</Location>
</Locations>
</Report>
</Reports>
We are querying the higher level Report.Id and then the id and name from the child (Locations/Location). The following gives us essentially a cartesian product of all possible combinations (in this example, 8 rows instead of the 4 we are hoping for.)
SELECT xpath_int(xml, '/Reports/Report/@ID') AS id, location_id, location_name
FROM xmlreports
LATERAL VIEW explode(xpath(xml, '/Reports/Report/Locations/Location/@ID')) myTable1 AS location_id
LATERAL VIEW explode(xpath(xml, '/Reports/Report/Locations/Location/LocationName/text()')) myTable2 AS location_name;
Tried to group into a structure and then explode, but this returns two rows and two arrays.
SELECT id, loc.col1, loc.col2
FROM (
SELECT xpath_int(xml, '/Reports/Report/@ID') AS id,
array(struct(xpath(xml, '/Reports/Report/Locations/Location/@ID'), xpath(xml, '/Reports/Report/Locations/Location/LocationName/text()'))) As foo
FROM xmlreports) x
LATERAL VIEW explode(foo) exploded_table as loc;
RESULTS
1 ["20001","20002"] ["Irvine Animal Shelter","Irvine City Hall"]
2 ["10001","10002"] ["California Fish Grill","Irvine Spectrum"]
WHAT WE WANT IS
1 "20001" "Irvine Animal Shelter"
1 "20002" "Irvine City Hall"
2 "10001" "California Fish Grill"
2 "10002" "Irvine Spectrum"
Seems like a common thing to want to do, but can't find any examples. Any help is greatly appreciated.
I see two ways to solve this problem.
Create custom UDF which will parse one XML element and return array that you need. After that explode array.
Use subselects.
I implemented solution 2 using subselects. Even when using subselects Hive is "smart enough" to create only one map-reduce job for this, so I think you will not have performance problems.
SELECT
l2.key,
l2.rid,
l2.location_id,
location_name
FROM (
SELECT
l1.key as key,
l1.rid as rid,
location_id as location_id,
l1.xml as xml
FROM (
SELECT key, xml, rid
FROM xmlreports
LATERAL VIEW explode(xpath(xml, '/Reports/Report/@ID')) rids as rid
) l1
LATERAL VIEW explode(xpath(l1.xml, concat('/Reports/Report[@ID = ',l1.rid, ']/Locations/Location/@ID'))) locids as location_id
) l2
LATERAL VIEW explode(xpath(l2.xml, concat('/Reports/Report[@ID = ',l2.rid, ']/Locations/Location[@ID = ', l2.location_id ,' ]/LocationName/text()'))) locnames as location_name;
After running this query on XML file you provided I got results that you are searching for
1 1 20001 Irvine Animal Shelter
1 1 20002 Irvine City Hall
1 2 10001 California Fish Grill
1 2 10002 Fukada
Hope this solves your problem.
Regards, Dino
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