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    /*
 * 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 org.apache.hadoop.hive.serde2;

import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.nio.charset.CharacterCodingException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.common.type.Date;
import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveDecimal;
import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.common.type.Timestamp;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StandardStructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.UnionObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.BinaryObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.BooleanObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.ByteObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.DoubleObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.FloatObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveCharObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveDecimalObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveVarcharObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.LongObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.ShortObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.BaseCharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hive.common.util.HiveStringUtils;
import org.apache.hive.common.util.TimestampParser;
import org.codehaus.jackson.JsonFactory;
import org.codehaus.jackson.JsonParseException;
import org.codehaus.jackson.JsonParser;
import org.codehaus.jackson.JsonToken;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

@SerDeSpec(schemaProps = {serdeConstants.LIST_COLUMNS,
  serdeConstants.LIST_COLUMN_TYPES,
  serdeConstants.TIMESTAMP_FORMATS})

// FIXME: move TestJsonSerDe from hcat to serde2
public class JsonSerDe extends AbstractSerDe {

  private static final Logger LOG = LoggerFactory.getLogger(JsonSerDe.class);
  private List columnNames;
  private StructTypeInfo schema;

  private JsonFactory jsonFactory = null;

  private StandardStructObjectInspector cachedObjectInspector;
  private TimestampParser tsParser;

  @Override
  public void initialize(Configuration conf, Properties tbl)
    throws SerDeException {
    List columnTypes;
    StructTypeInfo rowTypeInfo;

    LOG.debug("Initializing JsonSerDe: {}", tbl.entrySet());

    // Get column names and types
    String columnNameProperty = tbl.getProperty(serdeConstants.LIST_COLUMNS);
    String columnTypeProperty = tbl.getProperty(serdeConstants.LIST_COLUMN_TYPES);
    final String columnNameDelimiter = tbl.containsKey(serdeConstants.COLUMN_NAME_DELIMITER) ? tbl
      .getProperty(serdeConstants.COLUMN_NAME_DELIMITER) : String.valueOf(SerDeUtils.COMMA);
    // all table column names
    if (columnNameProperty.isEmpty()) {
      columnNames = Collections.emptyList();
    } else {
      columnNames = Arrays.asList(columnNameProperty.split(columnNameDelimiter));
    }

    // all column types
    if (columnTypeProperty.isEmpty()) {
      columnTypes = Collections.emptyList();
    } else {
      columnTypes = TypeInfoUtils.getTypeInfosFromTypeString(columnTypeProperty);
    }

    LOG.debug("columns: {}, {}", columnNameProperty, columnNames);
    LOG.debug("types: {}, {} ", columnTypeProperty, columnTypes);

    assert (columnNames.size() == columnTypes.size());

    rowTypeInfo = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNames, columnTypes);
    schema = rowTypeInfo;
    LOG.debug("schema : {}", schema);
    cachedObjectInspector = (StandardStructObjectInspector) TypeInfoUtils.getStandardJavaObjectInspectorFromTypeInfo(rowTypeInfo);

    jsonFactory = new JsonFactory();
    tsParser = new TimestampParser(
      HiveStringUtils.splitAndUnEscape(tbl.getProperty(serdeConstants.TIMESTAMP_FORMATS)));
  }

  /**
   * Takes JSON string in Text form, and has to return an object representation above
   * it that's readable by the corresponding object inspector.
   * For this implementation, since we're using the jackson parser, we can construct
   * our own object implementation, and we use HCatRecord for it
   */
  @Override
  public Object deserialize(Writable blob) throws SerDeException {

    Text t = (Text) blob;
    JsonParser p;
    List r = new ArrayList<>(Collections.nCopies(columnNames.size(), null));
    try {
      p = jsonFactory.createJsonParser(new ByteArrayInputStream((t.getBytes())));
      if (p.nextToken() != JsonToken.START_OBJECT) {
        throw new IOException("Start token not found where expected");
      }
      JsonToken token;
      while (((token = p.nextToken()) != JsonToken.END_OBJECT) && (token != null)) {
        // iterate through each token, and create appropriate object here.
        populateRecord(r, token, p, schema);
      }
    } catch (JsonParseException e) {
      LOG.warn("Error [{}] parsing json text [{}].", e, t);
      throw new SerDeException(e);
    } catch (IOException e) {
      LOG.warn("Error [{}] parsing json text [{}].", e, t);
      throw new SerDeException(e);
    }

    return r;
  }

  private void populateRecord(List r, JsonToken token, JsonParser p, StructTypeInfo s) throws IOException {
    if (token != JsonToken.FIELD_NAME) {
      throw new IOException("Field name expected");
    }
    String fieldName = p.getText().toLowerCase();
    int fpos = s.getAllStructFieldNames().indexOf(fieldName);
    if (fpos == -1) {
      fpos = getPositionFromHiveInternalColumnName(fieldName);
      LOG.debug("NPE finding position for field [{}] in schema [{}],"
        + " attempting to check if it is an internal column name like _col0", fieldName, s);
      if (fpos == -1) {
        skipValue(p);
        return; // unknown field, we return. We'll continue from the next field onwards.
      }
      // If we get past this, then the column name did match the hive pattern for an internal
      // column name, such as _col0, etc, so it *MUST* match the schema for the appropriate column.
      // This means people can't use arbitrary column names such as _col0, and expect us to ignore it
      // if we find it.
      if (!fieldName.equalsIgnoreCase(getHiveInternalColumnName(fpos))) {
        LOG.error("Hive internal column name {} and position "
          + "encoding {} for the column name are at odds", fieldName, fpos);
        throw new IOException("Hive internal column name (" + fieldName
          + ") and position encoding (" + fpos
          + ") for the column name are at odds");
      }
      // If we reached here, then we were successful at finding an alternate internal
      // column mapping, and we're about to proceed.
    }
    Object currField = extractCurrentField(p, s.getStructFieldTypeInfo(fieldName), false);
    r.set(fpos, currField);
  }

  public String getHiveInternalColumnName(int fpos) {
    return HiveConf.getColumnInternalName(fpos);
  }

  public int getPositionFromHiveInternalColumnName(String internalName) {
    //    return HiveConf.getPositionFromInternalName(fieldName);
    // The above line should have been all the implementation that
    // we need, but due to a bug in that impl which recognizes
    // only single-digit columns, we need another impl here.
    Pattern internalPattern = Pattern.compile("_col([0-9]+)");
    Matcher m = internalPattern.matcher(internalName);
    if (!m.matches()) {
      return -1;
    } else {
      return Integer.parseInt(m.group(1));
    }
  }

  /**
   * Utility method to extract (and forget) the next value token from the JsonParser,
   * as a whole. The reason this function gets called is to yank out the next value altogether,
   * because it corresponds to a field name that we do not recognize, and thus, do not have
   * a schema/type for. Thus, this field is to be ignored.
   *
   * @throws IOException
   * @throws JsonParseException
   */
  private void skipValue(JsonParser p) throws JsonParseException, IOException {
    JsonToken valueToken = p.nextToken();

    if ((valueToken == JsonToken.START_ARRAY) || (valueToken == JsonToken.START_OBJECT)) {
      // if the currently read token is a beginning of an array or object, move stream forward
      // skipping any child tokens till we're at the corresponding END_ARRAY or END_OBJECT token
      p.skipChildren();
    }
    // At the end of this function, the stream should be pointing to the last token that
    // corresponds to the value being skipped. This way, the next call to nextToken
    // will advance it to the next field name.
  }

  /**
   * Utility method to extract current expected field from given JsonParser
   * isTokenCurrent is a boolean variable also passed in, which determines
   * if the JsonParser is already at the token we expect to read next, or
   * needs advancing to the next before we read.
   */
  private Object extractCurrentField(JsonParser p, TypeInfo fieldTypeInfo,
    boolean isTokenCurrent) throws IOException {
    Object val = null;
    JsonToken valueToken;
    if (isTokenCurrent) {
      valueToken = p.getCurrentToken();
    } else {
      valueToken = p.nextToken();
    }

    switch (fieldTypeInfo.getCategory()) {
      case PRIMITIVE:
        PrimitiveObjectInspector.PrimitiveCategory primitiveCategory = PrimitiveObjectInspector.PrimitiveCategory.UNKNOWN;
        if (fieldTypeInfo instanceof PrimitiveTypeInfo) {
          primitiveCategory = ((PrimitiveTypeInfo) fieldTypeInfo).getPrimitiveCategory();
        }
        switch (primitiveCategory) {
          case INT:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getIntValue();
            break;
          case BYTE:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getByteValue();
            break;
          case SHORT:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getShortValue();
            break;
          case LONG:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getLongValue();
            break;
          case BOOLEAN:
            String bval = (valueToken == JsonToken.VALUE_NULL) ? null : p.getText();
            if (bval != null) {
              val = Boolean.valueOf(bval);
            } else {
              val = null;
            }
            break;
          case FLOAT:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getFloatValue();
            break;
          case DOUBLE:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getDoubleValue();
            break;
          case STRING:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : p.getText();
            break;
          case BINARY:
            String b = (valueToken == JsonToken.VALUE_NULL) ? null : p.getText();
            if (b != null) {
              try {
                String t = Text.decode(b.getBytes(), 0, b.getBytes().length);
                return t.getBytes();
              } catch (CharacterCodingException e) {
                LOG.warn("Error generating json binary type from object.", e);
                return null;
              }
            } else {
              val = null;
            }
            break;
          case DATE:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : Date.valueOf(p.getText());
            break;
          case TIMESTAMP:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : tsParser.parseTimestamp(p.getText());
            break;
          case DECIMAL:
            val = (valueToken == JsonToken.VALUE_NULL) ? null : HiveDecimal.create(p.getText());
            break;
          case VARCHAR:
            int vLen = ((BaseCharTypeInfo) fieldTypeInfo).getLength();
            val = (valueToken == JsonToken.VALUE_NULL) ? null : new HiveVarchar(p.getText(), vLen);
            break;
          case CHAR:
            int cLen = ((BaseCharTypeInfo) fieldTypeInfo).getLength();
            val = (valueToken == JsonToken.VALUE_NULL) ? null : new HiveChar(p.getText(), cLen);
            break;
        }
        break;
      case LIST:
        if (valueToken == JsonToken.VALUE_NULL) {
          val = null;
          break;
        }
        if (valueToken != JsonToken.START_ARRAY) {
          throw new IOException("Start of Array expected");
        }
        List arr = new ArrayList();
        while ((valueToken = p.nextToken()) != JsonToken.END_ARRAY) {
          arr.add(extractCurrentField(p, ((ListTypeInfo)fieldTypeInfo).getListElementTypeInfo(), true));
        }
        val = arr;
        break;
      case MAP:
        if (valueToken == JsonToken.VALUE_NULL) {
          val = null;
          break;
        }
        if (valueToken != JsonToken.START_OBJECT) {
          throw new IOException("Start of Object expected");
        }
        Map map = new LinkedHashMap();
        while ((valueToken = p.nextToken()) != JsonToken.END_OBJECT) {
          Object k = getObjectOfCorrespondingPrimitiveType(p.getCurrentName(),
            (PrimitiveTypeInfo) ((MapTypeInfo)fieldTypeInfo).getMapKeyTypeInfo());
          Object v = extractCurrentField(p, ((MapTypeInfo) fieldTypeInfo).getMapValueTypeInfo(), false);
          map.put(k, v);
        }
        val = map;
        break;
      case STRUCT:
        if (valueToken == JsonToken.VALUE_NULL) {
          val = null;
          break;
        }
        if (valueToken != JsonToken.START_OBJECT) {
          throw new IOException("Start of Object expected");
        }
        ArrayList subSchema = ((StructTypeInfo)fieldTypeInfo).getAllStructFieldTypeInfos();
        int sz = subSchema.size();
        List struct = new ArrayList(Collections.nCopies(sz, null));
        while ((valueToken = p.nextToken()) != JsonToken.END_OBJECT) {
          populateRecord(struct, valueToken, p, ((StructTypeInfo) fieldTypeInfo));
        }
        val = struct;
        break;
      default:
        LOG.error("Unknown type found: " + fieldTypeInfo);
        return null;
    }
    return val;
  }

  private Object getObjectOfCorrespondingPrimitiveType(String s, PrimitiveTypeInfo mapKeyType)
    throws IOException {
    switch (mapKeyType.getPrimitiveCategory()) {
      case INT:
        return Integer.valueOf(s);
      case BYTE:
        return Byte.valueOf(s);
      case SHORT:
        return Short.valueOf(s);
      case LONG:
        return Long.valueOf(s);
      case BOOLEAN:
        return (s.equalsIgnoreCase("true"));
      case FLOAT:
        return Float.valueOf(s);
      case DOUBLE:
        return Double.valueOf(s);
      case STRING:
        return s;
      case BINARY:
        try {
          String t = Text.decode(s.getBytes(), 0, s.getBytes().length);
          return t.getBytes();
        } catch (CharacterCodingException e) {
          LOG.warn("Error generating json binary type from object.", e);
          return null;
        }
      case DATE:
        return Date.valueOf(s);
      case TIMESTAMP:
        return Timestamp.valueOf(s);
      case DECIMAL:
        return HiveDecimal.create(s);
      case VARCHAR:
        return new HiveVarchar(s, ((BaseCharTypeInfo) mapKeyType).getLength());
      case CHAR:
        return new HiveChar(s, ((BaseCharTypeInfo) mapKeyType).getLength());
    }
    throw new IOException("Could not convert from string to map type " + mapKeyType.getTypeName());
  }

  /**
   * Given an object and object inspector pair, traverse the object
   * and generate a Text representation of the object.
   */
  @Override
  public Writable serialize(Object obj, ObjectInspector objInspector)
    throws SerDeException {
    StringBuilder sb = new StringBuilder();
    try {

      StructObjectInspector soi = (StructObjectInspector) objInspector;
      List structFields = soi.getAllStructFieldRefs();
      assert (columnNames.size() == structFields.size());
      if (obj == null) {
        sb.append("null");
      } else {
        sb.append(SerDeUtils.LBRACE);
        for (int i = 0; i < structFields.size(); i++) {
          if (i > 0) {
            sb.append(SerDeUtils.COMMA);
          }
          appendWithQuotes(sb, columnNames.get(i));
          sb.append(SerDeUtils.COLON);
          buildJSONString(sb, soi.getStructFieldData(obj, structFields.get(i)),
            structFields.get(i).getFieldObjectInspector());
        }
        sb.append(SerDeUtils.RBRACE);
      }

    } catch (IOException e) {
      LOG.warn("Error generating json text from object.", e);
      throw new SerDeException(e);
    }
    return new Text(sb.toString());
  }

  private static StringBuilder appendWithQuotes(StringBuilder sb, String value) {
    return sb == null ? null : sb.append(SerDeUtils.QUOTE).append(value).append(SerDeUtils.QUOTE);
  }

  // TODO : code section copied over from SerDeUtils because of non-standard json production there
  // should use quotes for all field names. We should fix this there, and then remove this copy.
  // See http://jackson.codehaus.org/1.7.3/javadoc/org/codehaus/jackson/JsonParser.Feature.html#ALLOW_UNQUOTED_FIELD_NAMES
  // for details - trying to enable Jackson to ignore that doesn't seem to work(compilation failure
  // when attempting to use that feature, so having to change the production itself.
  // Also, throws IOException when Binary is detected.
  private static void buildJSONString(StringBuilder sb, Object o, ObjectInspector oi) throws IOException {

    switch (oi.getCategory()) {
      case PRIMITIVE: {
        PrimitiveObjectInspector poi = (PrimitiveObjectInspector) oi;
        if (o == null) {
          sb.append("null");
        } else {
          switch (poi.getPrimitiveCategory()) {
            case BOOLEAN: {
              boolean b = ((BooleanObjectInspector) poi).get(o);
              sb.append(b ? "true" : "false");
              break;
            }
            case BYTE: {
              sb.append(((ByteObjectInspector) poi).get(o));
              break;
            }
            case SHORT: {
              sb.append(((ShortObjectInspector) poi).get(o));
              break;
            }
            case INT: {
              sb.append(((IntObjectInspector) poi).get(o));
              break;
            }
            case LONG: {
              sb.append(((LongObjectInspector) poi).get(o));
              break;
            }
            case FLOAT: {
              sb.append(((FloatObjectInspector) poi).get(o));
              break;
            }
            case DOUBLE: {
              sb.append(((DoubleObjectInspector) poi).get(o));
              break;
            }
            case STRING: {
              String s =
                SerDeUtils.escapeString(((StringObjectInspector) poi).getPrimitiveJavaObject(o));
              appendWithQuotes(sb, s);
              break;
            }
            case BINARY:
              byte[] b = ((BinaryObjectInspector) oi).getPrimitiveJavaObject(o);
              Text txt = new Text();
              txt.set(b, 0, b.length);
              appendWithQuotes(sb, SerDeUtils.escapeString(txt.toString()));
              break;
            case DATE:
              Date d = ((DateObjectInspector) poi).getPrimitiveJavaObject(o);
              appendWithQuotes(sb, d.toString());
              break;
            case TIMESTAMP: {
              Timestamp t = ((TimestampObjectInspector) poi).getPrimitiveJavaObject(o);
              appendWithQuotes(sb, t.toString());
              break;
            }
            case DECIMAL:
              sb.append(((HiveDecimalObjectInspector) poi).getPrimitiveJavaObject(o));
              break;
            case VARCHAR: {
              String s = SerDeUtils.escapeString(
                ((HiveVarcharObjectInspector) poi).getPrimitiveJavaObject(o).toString());
              appendWithQuotes(sb, s);
              break;
            }
            case CHAR: {
              //this should use HiveChar.getPaddedValue() but it's protected; currently (v0.13)
              // HiveChar.toString() returns getPaddedValue()
              String s = SerDeUtils.escapeString(
                ((HiveCharObjectInspector) poi).getPrimitiveJavaObject(o).toString());
              appendWithQuotes(sb, s);
              break;
            }
            default:
              throw new RuntimeException("Unknown primitive type: " + poi.getPrimitiveCategory());
          }
        }
        break;
      }
      case LIST: {
        ListObjectInspector loi = (ListObjectInspector) oi;
        ObjectInspector listElementObjectInspector = loi
          .getListElementObjectInspector();
        List olist = loi.getList(o);
        if (olist == null) {
          sb.append("null");
        } else {
          sb.append(SerDeUtils.LBRACKET);
          for (int i = 0; i < olist.size(); i++) {
            if (i > 0) {
              sb.append(SerDeUtils.COMMA);
            }
            buildJSONString(sb, olist.get(i), listElementObjectInspector);
          }
          sb.append(SerDeUtils.RBRACKET);
        }
        break;
      }
      case MAP: {
        MapObjectInspector moi = (MapObjectInspector) oi;
        ObjectInspector mapKeyObjectInspector = moi.getMapKeyObjectInspector();
        ObjectInspector mapValueObjectInspector = moi
          .getMapValueObjectInspector();
        Map omap = moi.getMap(o);
        if (omap == null) {
          sb.append("null");
        } else {
          sb.append(SerDeUtils.LBRACE);
          boolean first = true;
          for (Object entry : omap.entrySet()) {
            if (first) {
              first = false;
            } else {
              sb.append(SerDeUtils.COMMA);
            }
            Map.Entry e = (Map.Entry) entry;
            StringBuilder keyBuilder = new StringBuilder();
            buildJSONString(keyBuilder, e.getKey(), mapKeyObjectInspector);
            String keyString = keyBuilder.toString().trim();
            if ((!keyString.isEmpty()) && (keyString.charAt(0) != SerDeUtils.QUOTE)) {
              appendWithQuotes(sb, keyString);
            } else {
              sb.append(keyString);
            }
            sb.append(SerDeUtils.COLON);
            buildJSONString(sb, e.getValue(), mapValueObjectInspector);
          }
          sb.append(SerDeUtils.RBRACE);
        }
        break;
      }
      case STRUCT: {
        StructObjectInspector soi = (StructObjectInspector) oi;
        List structFields = soi.getAllStructFieldRefs();
        if (o == null) {
          sb.append("null");
        } else {
          sb.append(SerDeUtils.LBRACE);
          for (int i = 0; i < structFields.size(); i++) {
            if (i > 0) {
              sb.append(SerDeUtils.COMMA);
            }
            appendWithQuotes(sb, structFields.get(i).getFieldName());
            sb.append(SerDeUtils.COLON);
            buildJSONString(sb, soi.getStructFieldData(o, structFields.get(i)),
              structFields.get(i).getFieldObjectInspector());
          }
          sb.append(SerDeUtils.RBRACE);
        }
        break;
      }
      case UNION: {
        UnionObjectInspector uoi = (UnionObjectInspector) oi;
        if (o == null) {
          sb.append("null");
        } else {
          sb.append(SerDeUtils.LBRACE);
          sb.append(uoi.getTag(o));
          sb.append(SerDeUtils.COLON);
          buildJSONString(sb, uoi.getField(o),
            uoi.getObjectInspectors().get(uoi.getTag(o)));
          sb.append(SerDeUtils.RBRACE);
        }
        break;
      }
      default:
        throw new RuntimeException("Unknown type in ObjectInspector!");
    }
  }


  /**
   * Returns an object inspector for the specified schema that
   * is capable of reading in the object representation of the JSON string
   */
  @Override
  public ObjectInspector getObjectInspector() throws SerDeException {
    return cachedObjectInspector;
  }

  @Override
  public Class getSerializedClass() {
    return Text.class;
  }

  @Override
  public SerDeStats getSerDeStats() {
    // no support for statistics yet
    return null;
  }

}
    
    
    
    

    




    
    
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