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

    https://github.com/apache/phoenix/pull/74#discussion_r29096976
  
    --- Diff: 
phoenix-hive/src/main/java/org/apache/phoenix/hive/util/HiveTypeUtil.java ---
    @@ -0,0 +1,151 @@
    +/*
    + * Copyright 2010 The Apache Software Foundation Licensed to the Apache 
Software Foundation (ASF)
    + * under one or more contributor license agreements. See the NOTICE 
filedistributed 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 maynot 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 
applicablelaw 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 org.apache.phoenix.hive.util;
    +
    +import java.sql.Date;
    +import java.sql.Timestamp;
    +import java.util.List;
    +
    +import org.apache.commons.logging.Log;
    +import org.apache.commons.logging.LogFactory;
    +import org.apache.hadoop.hive.common.type.HiveChar;
    +import org.apache.hadoop.hive.common.type.HiveVarchar;
    +import org.apache.hadoop.hive.serde2.SerDeException;
    +import org.apache.hadoop.hive.serde2.io.DateWritable;
    +import org.apache.hadoop.hive.serde2.io.DoubleWritable;
    +import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
    +import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
    +import org.apache.hadoop.hive.serde2.io.ShortWritable;
    +import org.apache.hadoop.hive.serde2.io.TimestampWritable;
    +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
    +import org.apache.hadoop.io.BooleanWritable;
    +import org.apache.hadoop.io.FloatWritable;
    +import org.apache.hadoop.io.IntWritable;
    +import org.apache.hadoop.io.LongWritable;
    +import org.apache.hadoop.io.Text;
    +import org.apache.hadoop.io.Writable;
    +import org.apache.phoenix.schema.types.PBinary;
    +import org.apache.phoenix.schema.types.PBoolean;
    +import org.apache.phoenix.schema.types.PChar;
    +import org.apache.phoenix.schema.types.PDataType;
    +import org.apache.phoenix.schema.types.PDate;
    +import org.apache.phoenix.schema.types.PDouble;
    +import org.apache.phoenix.schema.types.PFloat;
    +import org.apache.phoenix.schema.types.PInteger;
    +import org.apache.phoenix.schema.types.PLong;
    +import org.apache.phoenix.schema.types.PSmallint;
    +import org.apache.phoenix.schema.types.PTime;
    +import org.apache.phoenix.schema.types.PTimestamp;
    +import org.apache.phoenix.schema.types.PVarchar;
    +
    +public class HiveTypeUtil {
    +    private static final Log LOG = LogFactory.getLog(HiveTypeUtil.class);
    +
    +    private HiveTypeUtil() {
    +    }
    +
    +    /**
    +     * This method returns an array of most appropriates PDataType 
associated with a list of
    +     * incoming hive types.
    +     * @param List of TypeInfo
    +     * @return Array PDataType
    +     */
    +    public static PDataType[] hiveTypesToSqlTypes(List<TypeInfo> 
columnTypes) throws SerDeException {
    +        final PDataType[] result = new PDataType[columnTypes.size()];
    +        for (int i = 0; i < columnTypes.size(); i++) {
    +            result[i] = HiveType2PDataType(columnTypes.get(i));
    +        }
    +        return result;
    +    }
    +
    +    /**
    +     * This method returns the most appropriate PDataType associated with 
the incoming primitive
    +     * hive type.
    +     * @param hiveType
    +     * @return PDataType
    +     */
    +    public static PDataType HiveType2PDataType(TypeInfo hiveType) throws 
SerDeException {
    +        switch (hiveType.getCategory()) {
    +        /* Integrate Complex types like Array */
    +        case PRIMITIVE:
    +            return HiveType2PDataType(hiveType.getTypeName());
    +        default:
    +            throw new SerDeException("Phoenix unsupported column type: "
    +                    + hiveType.getCategory().name());
    +        }
    +    }
    +
    +    /**
    +     * This method returns the most appropriate PDataType associated with 
the incoming hive type
    +     * name.
    +     * @param hiveType
    +     * @return PDataType
    +     */
    +    public static PDataType HiveType2PDataType(String hiveType) throws 
SerDeException {
    +        final String lctype = hiveType.toLowerCase();
    +        if ("string".equals(lctype)) {
    --- End diff --
    
    Looks like the same as the earlier one?


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