[
https://issues.apache.org/jira/browse/HIVE-17210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Saihiel Bakshi updated HIVE-17210:
----------------------------------
Hi, Please could you help me resolve this issue?
> Failed With Exception
> java.io.IOException:java.lang.ArrayIndexOutOfBoundsException: 1 Using Java
> UDTF for Hive
> --------------------------------------------------------------------------------------------------------------
>
> Key: HIVE-17210
> URL: https://issues.apache.org/jira/browse/HIVE-17210
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Affects Versions: 2.0.0
> Environment: Using apache hive UDTF function from java, after running
> temporary function it is constantly returning ArrayIndexOutofBounds: 1
> Reporter: Saihiel Bakshi
> Labels: Arrayindex, Hive, Java, UDTF
> Original Estimate: 5h
> Remaining Estimate: 5h
>
> This is the Java code I am using:
> I am trying to take in a row and return either the same row split into two
> rows or only of the the two rows from the split.
> package com;
>
> import java.util.ArrayList;
>
> import java.util.Iterator;
> import java.util.List;
> import java.util.Random;
> import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
> import org.apache.hadoop.hive.ql.metadata.HiveException;
> import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
> import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
> import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
> import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
> import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
> import
> org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
> import info.debatty.java.stringsimilarity.*;
> public class similarity_report extends GenericUDTF
> {
> private PrimitiveObjectInspector stringOI = null;
> @Override
> public StructObjectInspector initialize(ObjectInspector[] args)
> throws UDFArgumentException
> {
> //if (args.length != 1)
> // {
> // throw new UDFArgumentException("similarityReport() takes
> exactly one argument");
> // }
> if (args[0].getCategory() != ObjectInspector.Category.PRIMITIVE
> && ((PrimitiveObjectInspector) args[0]).getPrimitiveCategory()
> != PrimitiveObjectInspector.PrimitiveCategory.STRING)
> {
> throw new UDFArgumentException("similarityReport() takes a string
> as a parameter");
> }
>
> stringOI = (PrimitiveObjectInspector) args[0];
>
> List<String> fieldNames = new ArrayList<String>(41);
> List<ObjectInspector> fieldOIs = new ArrayList<ObjectInspector>(41);
> fieldNames.add("NAME_x");
> fieldNames.add("VOTER ID_x");
> fieldNames.add("FATHERS' NAME_x");
> fieldNames.add("PIN CODE_x");
> fieldNames.add("AREA_x");
> fieldNames.add("TEHSIL_x");
> fieldNames.add("DISTRICT_x");
> fieldNames.add("POLICE STATION_x");
> fieldNames.add("AGE_x");
> fieldNames.add("Y-O-B_x");
> fieldNames.add("GENDER_x");
> fieldNames.add("HOUSE NUMBER_x");
> fieldNames.add("STREET ADDRESS_x");
> fieldNames.add("UNIQUE ID_x");
> fieldNames.add("EDIT MAX_x");
> fieldNames.add("MATCH ID_x");
> fieldNames.add("FAKE MAX_x");
>
> fieldNames.add("NAME_y");
> fieldNames.add("VOTER ID_y");
> fieldNames.add("FATHERS' NAME_y");
> fieldNames.add("PIN CODE_y");
> fieldNames.add("AREA_y");
> fieldNames.add("TEHSIL_y");
> fieldNames.add("DISTRICT_y");
> fieldNames.add("POLICE STATION_y");
> fieldNames.add("AGE_y");
> fieldNames.add("Y-O-B_y");
> fieldNames.add("GENDER_y");
> fieldNames.add("HOUSE NUMBER_y");
> fieldNames.add("STREET ADDRESS_y");
> fieldNames.add("UNIQUE ID_y");
> fieldNames.add("EDIT MAX_y");
> fieldNames.add("MATCH ID_y");
> fieldNames.add("FAKE MAX_y");
>
> fieldNames.add("NAME SCORE");
> fieldNames.add("ADDRESS SCORE");
> fieldNames.add("CITY MATCH");
> fieldNames.add("ZIP MATCH");
> fieldNames.add("RELATIVE NAME SCORE");
> fieldNames.add("VOTER ID MATCH");
>
> fieldNames.add("KEY");
>
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
>
> return
> ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
>
> }
> public ArrayList<Object[]> processInputRecord(String row)
> {
> ArrayList<Object[]> result = new ArrayList<Object[]>();
> //ensure none of the fields are empty
> String[] tokens = row.split("\t");
>
> String Name_x = tokens[0];
> String VoterID_x = tokens[1];
> String FathersName_x = tokens[2];
> String PinCode_x = tokens[3];
> String Area_x = tokens[4];
> String Tehsil_x = tokens[5];
> String District_x = tokens[6];
> String PoliceStation_x = tokens[7];
> String Age_x = tokens[8];
> String YOB_x = tokens[9];
> String Gender_x = tokens[10];
> String HouseNumber_x = tokens[11];
> String StreetAddress_x = tokens[12];
> String UniqueID_x = tokens[1];
> String EditMax_x = tokens[14];
> String MatchID_x = tokens[15];
> String FakeMax_x = tokens[16];
>
> String Name_y = tokens[17];
> String VoterID_y = tokens[18];
> String FathersName_y = tokens[19];
> String PinCode_y = tokens[20];
> String Area_y = tokens[21];
> String Tehsil_y = tokens[22];
> String District_y = tokens[23];
> String PoliceStation_y = tokens[24];
> String Age_y = tokens[25];
> String YOB_y = tokens[26];
> String Gender_y = tokens[27];
> String HouseNumber_y = tokens[28];
> String StreetAddress_y = tokens[29];
> String UniqueID_y = tokens[18];
> String EditMax_y = tokens[31];
> String MatchID_y = tokens[32];
> String FakeMax_y = tokens[33];
>
> String NameScore = tokens[34];
> String AddressScore = tokens[35];
> String CityMatch = tokens[36];
> String ZipMatch = tokens[37];
> String RelativeNameScore = tokens[38];
> String VoterIDMatch = tokens[39];
> String Key = tokens[40];
>
> String Address_x;
> String Address_y;
>
> String matchType = "";
>
> if (HouseNumber_x != null)
> {
> Address_x = HouseNumber_x + StreetAddress_x;
> }
> else
> {
> Address_x = StreetAddress_x;
> }
>
> if (HouseNumber_y != null)
> {
> Address_y = HouseNumber_y + StreetAddress_y;
> }
> else
> {
> Address_y = StreetAddress_y;
> }
>
> NormalizedLevenshtein l = new NormalizedLevenshtein();
> double lDistance = l.distance(Name_x, Name_y);
> double lSimilarity = 1 - lDistance;
> NameScore = Double.toString(lSimilarity);
> double lRDistance = l.distance(FathersName_x,
> FathersName_y);
> double lRSimilarity = 1 - lRDistance;
> RelativeNameScore = Double.toString(lRSimilarity);
>
> NGram twogram = new NGram(2);
> double biGramDistance = twogram.distance(Address_x,
> Address_y);
> AddressScore = Double.toString(biGramDistance);
>
> if (Area_x != null && Area_y != null)
> {
> if (Area_x == Area_y)
> {
> CityMatch = "1";
> }
> else
> {
> CityMatch = "0";
> }
>
> }
> else if (District_x != null && District_y != null)
> {
> if (District_x == District_y)
> {
> CityMatch = "1";
> }
> else
> {
> CityMatch = "0";
> }
> }
>
> if (PinCode_x != null && PinCode_y != null)
> {
> if (PinCode_x == PinCode_y)
> {
> ZipMatch = "1";
> }
> else
> {
> ZipMatch = "0";
> }
>
> }
>
> if (VoterID_x != null && VoterID_y != null)
> {
> if (VoterID_x == VoterID_y)
> {
> VoterIDMatch = "1";
> }
> else
> {
> VoterIDMatch = "0";
> }
>
> }
>
>
> //rule 1
> if (Name_x != null && Name_y != null && Address_x != null
> && Address_y != null && FathersName_x != null && FathersName_y != null &&
> VoterID_x != null && VoterID_y != null && PinCode_x != null && PinCode_y !=
> null)
> { //returns both rows with max
> if (Integer.parseInt(NameScore) >= 0.85 &&
> Integer.parseInt(AddressScore) >= 0.45 && Integer.parseInt(RelativeNameScore)
> >= 0.85 && Integer.parseInt(VoterIDMatch) == 1 && Integer.parseInt(ZipMatch)
> == 1)
> {
> EditMax_x = "1";
> EditMax_y = "1";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "similar";
>
> }
> //if identical match, only return one row with low max
> if (Integer.parseInt(NameScore) == 1 &&
> Integer.parseInt(AddressScore) == 1 && Integer.parseInt(RelativeNameScore) ==
> 1 && Integer.parseInt(VoterIDMatch) == 1 && Integer.parseInt(ZipMatch) == 1)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "identical";
>
> }
> //if non-similar rows, return both rows with low max
> if (Integer.parseInt(NameScore) < 0.85 &&
> Integer.parseInt(AddressScore) < 0.45 && Integer.parseInt(RelativeNameScore)
> < 0.85 && Integer.parseInt(VoterIDMatch) == 0 && Integer.parseInt(ZipMatch)
> == 0)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> MatchID_x = Long.toString(n);
> MatchID_y = Long.toString(m);
>
> FakeMax_x = "0";
> FakeMax_y = "0";
>
> matchType = "different";
>
> }
>
> }
> //rule 2
> else if (Name_x != null && Name_y != null && Address_x !=
> null && Address_y != null && FathersName_x != null && FathersName_y != null
> && VoterID_x != null && VoterID_y != null)
> { //returns both rows with max
> if (Integer.parseInt(NameScore) >= 0.85 &&
> Integer.parseInt(AddressScore) >= 0.45 && Integer.parseInt(RelativeNameScore)
> >= 0.85 && Integer.parseInt(VoterIDMatch) == 1)
> {
> EditMax_x = "1";
> EditMax_y = "1";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "similar";
>
> }
> //if identical match, only return one row with low max
> if (Integer.parseInt(NameScore) == 1 &&
> Integer.parseInt(AddressScore) == 1 && Integer.parseInt(RelativeNameScore) ==
> 1 && Integer.parseInt(VoterIDMatch) == 1)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "identical";
>
> }
> //if non-similar rows, return both rows with low max
> if (Integer.parseInt(NameScore) < 0.85 &&
> Integer.parseInt(AddressScore) < 0.45 && Integer.parseInt(RelativeNameScore)
> < 0.85 && Integer.parseInt(VoterIDMatch) == 0)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> MatchID_x = Long.toString(n);
> MatchID_y = Long.toString(m);
>
> FakeMax_x = "0";
> FakeMax_y = "0";
>
> matchType = "different";
>
> }
>
> }
> //rule 3
> else if (Name_x != null && Name_y != null && Address_x !=
> null && Address_y != null && FathersName_x != null && FathersName_y != null)
> { //returns both rows with max
> if (Integer.parseInt(NameScore) >= 0.85 &&
> Integer.parseInt(AddressScore) >= 0.45 && Integer.parseInt(RelativeNameScore)
> >= 0.85)
> {
> EditMax_x = "1";
> EditMax_y = "1";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "similar";
>
> }
> //if identical match, only return one row with low max
> if (Integer.parseInt(NameScore) == 1 &&
> Integer.parseInt(AddressScore) == 1 && Integer.parseInt(RelativeNameScore) ==
> 1)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "identical";
>
> }
> //if non-similar rows, return both rows with low max
> if (Integer.parseInt(NameScore) < 0.85 &&
> Integer.parseInt(AddressScore) < 0.45 && Integer.parseInt(RelativeNameScore)
> < 0.85)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> MatchID_x = Long.toString(n);
> MatchID_y = Long.toString(m);
>
> FakeMax_x = "0";
> FakeMax_y = "0";
>
> matchType = "different";
>
> }
>
> }
> //rule 4
> else if (Name_x != null && Name_y != null && Address_x !=
> null && Address_y != null)
> { //returns both rows with max
> if (Integer.parseInt(NameScore) >= 0.85 &&
> Integer.parseInt(AddressScore) >= 0.45)
> {
> EditMax_x = "1";
> EditMax_y = "1";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "similar";
>
> }
> //if identical match, only return one row with low max
> if (Integer.parseInt(NameScore) == 1 &&
> Integer.parseInt(AddressScore) == 1)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "identical";
>
> }
> //if non-similar rows, return both rows with low max
> if (Integer.parseInt(NameScore) < 0.85 &&
> Integer.parseInt(AddressScore) < 0.45)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> MatchID_x = Long.toString(n);
> MatchID_y = Long.toString(m);
>
> FakeMax_x = "0";
> FakeMax_y = "0";
>
> matchType = "different";
>
> }
>
> }
> //rule 5
> else if (Name_x != null && Name_y != null && Address_x !=
> null && Address_y != null && VoterID_x != null && VoterID_y != null)
> { //returns both rows with max
> if (Integer.parseInt(NameScore) >= 0.85 &&
> Integer.parseInt(AddressScore) >= 0.45 && Integer.parseInt(VoterIDMatch) == 1)
> {
> EditMax_x = "1";
> EditMax_y = "1";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "similar";
>
> }
> //if identical match, only return one row with low max
> if (Integer.parseInt(NameScore) == 1 &&
> Integer.parseInt(AddressScore) == 1 && Integer.parseInt(VoterIDMatch) == 1)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> long rand = n + m;
> MatchID_x = Long.toString(rand);
> MatchID_y = MatchID_x;
>
> FakeMax_x = "1";
> FakeMax_y = "0";
>
> matchType = "identical";
>
> }
> //if non-similar rows, return both rows with low max
> if (Integer.parseInt(NameScore) < 0.85 &&
> Integer.parseInt(AddressScore) < 0.45 && Integer.parseInt(VoterIDMatch) == 0)
> {
> EditMax_x = "0";
> EditMax_y = "0";
>
> Random rnd = new Random();
> int n = 100000000 + rnd.nextInt(900000000);
> int m = 100000000 + rnd.nextInt(900000000);
> MatchID_x = Long.toString(n);
> MatchID_y = Long.toString(m);
>
> FakeMax_x = "0";
> FakeMax_y = "0";
>
> matchType = "different";
>
> }
>
> }
>
>
> if (matchType == "similar")
> {
>
> result.add(new Object[] { Name_x, VoterID_x,
> FathersName_x, PinCode_x, Area_x, Tehsil_x, District_x,
> PoliceStation_x, Age_x, YOB_x,
> Gender_x, HouseNumber_x, StreetAddress_x, UniqueID_x,
> EditMax_x, MatchID_x, FakeMax_x,
> NameScore, AddressScore, CityMatch, ZipMatch, RelativeNameScore,
> VoterIDMatch, Key});
> result.add(new Object[] { Name_y, VoterID_y,
> FathersName_y, PinCode_y, Area_y, Tehsil_y, District_y,
> PoliceStation_y, Age_y, YOB_y,
> Gender_y, HouseNumber_y, StreetAddress_y, UniqueID_y,
> EditMax_y, MatchID_y, FakeMax_y,
> NameScore, AddressScore, CityMatch, ZipMatch, RelativeNameScore,
> VoterIDMatch, Key});
>
> }
>
> else if (matchType == "identical")
> {
>
> result.add(new Object[] { Name_x, VoterID_x,
> FathersName_x, PinCode_x, Area_x, Tehsil_x, District_x,
> PoliceStation_x, Age_x, YOB_x,
> Gender_x, HouseNumber_x, StreetAddress_x, UniqueID_x,
> EditMax_x, MatchID_x, FakeMax_x,
> NameScore, AddressScore, CityMatch, ZipMatch, RelativeNameScore,
> VoterIDMatch, Key});
>
> }
> else if (matchType == "different")
> {
>
> result.add(new Object[] { Name_x, VoterID_x,
> FathersName_x, PinCode_x, Area_x, Tehsil_x, District_x,
> PoliceStation_x, Age_x, YOB_x,
> Gender_x, HouseNumber_x, StreetAddress_x, UniqueID_x,
> EditMax_x, MatchID_x, FakeMax_x,
> NameScore, AddressScore, CityMatch, ZipMatch, RelativeNameScore,
> VoterIDMatch, Key});
> result.add(new Object[] { Name_y, VoterID_y,
> FathersName_y, PinCode_y, Area_y, Tehsil_y, District_y,
> PoliceStation_y, Age_y, YOB_y,
> Gender_y, HouseNumber_y, StreetAddress_y, UniqueID_y,
> EditMax_y, MatchID_y, FakeMax_y,
> NameScore, AddressScore, CityMatch, ZipMatch, RelativeNameScore,
> VoterIDMatch, Key});
>
> }
>
> return result;
>
> }
> @Override
>
> public void process(Object[] record) throws HiveException
> {
>
> final String row =
> stringOI.getPrimitiveJavaObject(record[0]).toString();
>
> ArrayList<Object[]> results = processInputRecord(row);
>
> Iterator<Object[]> it = results.iterator();
>
> while (it.hasNext())
> {
>
> Object[] r = it.next();
>
> forward(r);
>
> }
>
> }
> @Override
>
> public void close() throws HiveException {
>
> // do nothing
>
> }
>
> }
>
> This is the Hive Code to Process above code on a hive table:
> set mapred.job.queue.name=buanlst;
>
> CREATE DATABASE IF NOT EXISTS saihieldb;
>
> USE saihieldb;
>
> CREATE TABLE datafile_to_dedupe (name_x String, voterid_x String,
> fathersname_x String, pincode_x String, area_x String, tehsil_x String,
> district_x String, policestation_x String, age_x String, yob_x String,
> gender_x String, housenumber_x String, streetaddress_x String)
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY '\t'
> LINES TERMINATED BY '\n'
> STORED AS TEXTFILE;
>
> LOAD DATA LOCAL INPATH
> '/idn/home/sbaks31/APRIORI_MUMBAI_SAMPLE_TAB_DELIMITED.txt' OVERWRITE INTO
> TABLE datafile_to_dedupe;
>
> ALTER TABLE datafile_to_dedupe ADD COLUMNS (uniqueid_x String, editmax_x
> String, matchid_x String, fakemax_x String);
>
> CREATE TABLE datafile_to_dedupe1 (name_y String, voterid_y String,
> fathersname_y String, pincode_y String, area_y String, tehsil_y String,
> district_y String, policestation_y String, age_y String, yob_y String,
> gender_y String, housenumber_y String, streetaddress_y String)
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY '\t'
> LINES TERMINATED BY '\n'
> STORED AS TEXTFILE;
>
> LOAD DATA LOCAL INPATH
> '/idn/home/sbaks31/APRIORI_MUMBAI_SAMPLE_TAB_DELIMITED.txt' OVERWRITE INTO
> TABLE datafile_to_dedupe1;
>
> ALTER TABLE datafile_to_dedupe ADD COLUMNS (uniqueid_y String, editmax_y
> String, matchid_y String, fakemax_y String);
>
> CREATE TABLE crossed (name_x String, voterid_x String, fathersname_x String,
> pincode_x String, area_x String, tehsil_x String, district_x String,
> policestation_x String, age_x String, yob_x String, gender_x String,
> housenumber_x String, streetaddress_x String, uniqueid_x String, editmax_x
> String, matchid_x String, fakemax_x String, name_y String, voterid_y String,
> fathersname_y String, pincode_y String, area_y String, tehsil_y String,
> district_y String, policestation_y String, age_y String, yob_y String,
> gender_y String, housenumber_y String, streetaddress_y String, uniqueid_y
> String, editmax_y String, matchid_y String, fakemax_y String)
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY '\t'
> LINES TERMINATED BY '\n'
> STORED AS TEXTFILE;
>
> INSERT OVERWRITE TABLE crossed SELECT * FROM saihieldb.datafile_to_dedupe
> CROSS JOIN saihieldb.datafile_to_dedupe1 on (datafile_to_dedupe.name_x =
> datafile_to_dedupe1.name_y);
>
> ALTER TABLE crossed ADD COLUMNS (namescore String, addressscore String,
> citymatch String, zipmatch String, relativenamescore String, voteridmatch
> String, Key String);
>
> add jar /idn/home/sbaks31/DedupeFinal1.jar.filepart;
>
> create temporary function fun3 as 'com.similarity_report';
>
> CREATE VIEW newview4 AS select fun3(name_x, voterid_x, fathersname_x,
> pincode_x, area_x, tehsil_x, district_x, policestation_x, age_x, yob_x,
> gender_x, housenumber_x, streetaddress_x, uniqueid_x, editmax_x, matchid_x,
> fakemax_x, name_y, voterid_y, fathersname_y, pincode_y, area_y, tehsil_y,
> district_y, policestation_y, age_y, yob_y, gender_y, housenumber_y,
> streetaddress_y, uniqueid_y, editmax_y, matchid_y, fakemax_y, namescore,
> addressscore, citymatch, zipmatch, relativenamescore, voteridmatch, Key) from
> saihieldb.crossed;
> select * from newview4 limit 10;
> ^^This is where i recieve the error. please let me know what is going wrong??
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