Github user takuti commented on a diff in the pull request:

    https://github.com/apache/incubator-hivemall/pull/118#discussion_r142296940
  
    --- Diff: core/src/main/java/hivemall/tools/text/NgramsUDF.java ---
    @@ -0,0 +1,76 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + *   http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing,
    + * software distributed under the License is distributed on an
    + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    + * KIND, either express or implied.  See the License for the
    + * specific language governing permissions and limitations
    + * under the License.
    + */
    +package hivemall.tools.text;
    +
    +import hivemall.utils.lang.StringUtils;
    +
    +import org.apache.hadoop.hive.ql.exec.Description;
    +import org.apache.hadoop.hive.ql.exec.UDF;
    +import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
    +import org.apache.hadoop.hive.ql.metadata.HiveException;
    +import org.apache.hadoop.hive.ql.udf.UDFType;
    +import org.apache.hadoop.io.Text;
    +
    +import javax.annotation.Nonnegative;
    +import javax.annotation.Nonnull;
    +
    +import java.util.ArrayList;
    +import java.util.List;
    +
    +@Description(name = "to_ngrams", value = "_FUNC_(array<string> words, int 
minSize, int maxSize])"
    +        + " - Returns list of n-grams for given words, where `minSize <= n 
<= maxSize`")
    +@UDFType(deterministic = true, stateful = false)
    +public final class NgramsUDF extends UDF {
    +
    +    public List<Text> evaluate(final List<Text> words, final int minSize, 
final int maxSize)
    +            throws HiveException {
    +        if (words == null) {
    +            return null;
    +        }
    +        if (minSize <= 0) {
    +            throw new UDFArgumentException("`minSize` must be greater than 
zero: " + minSize);
    +        }
    +        if (minSize > maxSize) {
    +            throw new UDFArgumentException("`maxSize` must be greater than 
or equal to `minSize`: "
    +                    + maxSize);
    +        }
    +        return getNgrams(words, minSize, maxSize);
    +    }
    +
    +    @Nonnull
    +    private List<Text> getNgrams(@Nonnull final List<Text> words, 
@Nonnegative final int minSize,
    +            @Nonnegative final int maxSize) {
    +        final List<Text> ngrams = new ArrayList<Text>();
    +        for (int i = 0, numWords = words.size(); i < numWords; i++) {
    +            for (int ngramSize = minSize; ngramSize <= maxSize; 
ngramSize++) {
    +                if (i + ngramSize > numWords) { // exceeds the final 
element
    +                    continue;
    +                }
    +
    +                final List<String> ngram = new ArrayList<String>();
    +                for (int j = i; j < i + ngramSize; j++) {
    +                    ngram.add(words.get(j).toString());
    +                }
    +                ngrams.add(new Text(StringUtils.join(ngram, " ")));
    --- End diff --
    
    `ngram` will never be empty thanks to `if (i + ngramSize > numWords) 
continue;`. Notice that the for-loop creating `ngram` increments `j` from `i` 
to `i + ngramSize - 1`.


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