use of org.apache.hadoop.hive.serde2.lazy.LazyPrimitive in project presto by prestodb.
the class RcFileTester method decodeRecordReaderValue.
private static Object decodeRecordReaderValue(Type type, Object actualValue) {
if (actualValue instanceof LazyPrimitive) {
actualValue = ((LazyPrimitive<?, ?>) actualValue).getWritableObject();
}
if (actualValue instanceof BooleanWritable) {
actualValue = ((BooleanWritable) actualValue).get();
} else if (actualValue instanceof ByteWritable) {
actualValue = ((ByteWritable) actualValue).get();
} else if (actualValue instanceof BytesWritable) {
actualValue = new SqlVarbinary(((BytesWritable) actualValue).copyBytes());
} else if (actualValue instanceof DateWritable) {
actualValue = new SqlDate(((DateWritable) actualValue).getDays());
} else if (actualValue instanceof DoubleWritable) {
actualValue = ((DoubleWritable) actualValue).get();
} else if (actualValue instanceof FloatWritable) {
actualValue = ((FloatWritable) actualValue).get();
} else if (actualValue instanceof IntWritable) {
actualValue = ((IntWritable) actualValue).get();
} else if (actualValue instanceof LongWritable) {
actualValue = ((LongWritable) actualValue).get();
} else if (actualValue instanceof ShortWritable) {
actualValue = ((ShortWritable) actualValue).get();
} else if (actualValue instanceof HiveDecimalWritable) {
DecimalType decimalType = (DecimalType) type;
HiveDecimalWritable writable = (HiveDecimalWritable) actualValue;
// writable messes with the scale so rescale the values to the Presto type
BigInteger rescaledValue = rescale(writable.getHiveDecimal().unscaledValue(), writable.getScale(), decimalType.getScale());
actualValue = new SqlDecimal(rescaledValue, decimalType.getPrecision(), decimalType.getScale());
} else if (actualValue instanceof Text) {
actualValue = actualValue.toString();
} else if (actualValue instanceof TimestampWritable) {
TimestampWritable timestamp = (TimestampWritable) actualValue;
actualValue = new SqlTimestamp((timestamp.getSeconds() * 1000) + (timestamp.getNanos() / 1000000L), UTC_KEY);
} else if (actualValue instanceof StructObject) {
StructObject structObject = (StructObject) actualValue;
actualValue = decodeRecordReaderStruct(type, structObject.getFieldsAsList());
} else if (actualValue instanceof LazyBinaryArray) {
actualValue = decodeRecordReaderList(type, ((LazyBinaryArray) actualValue).getList());
} else if (actualValue instanceof LazyBinaryMap) {
actualValue = decodeRecordReaderMap(type, ((LazyBinaryMap) actualValue).getMap());
} else if (actualValue instanceof LazyArray) {
actualValue = decodeRecordReaderList(type, ((LazyArray) actualValue).getList());
} else if (actualValue instanceof LazyMap) {
actualValue = decodeRecordReaderMap(type, ((LazyMap) actualValue).getMap());
} else if (actualValue instanceof List) {
actualValue = decodeRecordReaderList(type, ((List<?>) actualValue));
}
return actualValue;
}
use of org.apache.hadoop.hive.serde2.lazy.LazyPrimitive in project cdap by caskdata.
the class ObjectSerializer method fromLazyObject.
private Object fromLazyObject(TypeInfo type, Object data) {
if (data == null) {
return null;
}
switch(type.getCategory()) {
case PRIMITIVE:
Writable writable = ((LazyPrimitive) data).getWritableObject();
return fromWritable(writable);
case LIST:
ListTypeInfo listType = (ListTypeInfo) type;
TypeInfo listElementType = listType.getListElementTypeInfo();
List<Object> list = ((LazyArray) data).getList();
if (list.isEmpty()) {
return ImmutableList.of();
}
Object[] arrayContent = new Object[list.size()];
for (int i = 0; i < arrayContent.length; i++) {
arrayContent[i] = fromLazyObject(listElementType, list.get(i));
}
return arrayContent;
case MAP:
MapTypeInfo mapType = (MapTypeInfo) type;
Map<Object, Object> mapContent = Maps.newConcurrentMap();
Map<Object, Object> map = ((LazyMap) data).getMap();
for (Map.Entry<Object, Object> entry : map.entrySet()) {
mapContent.put(fromLazyObject(mapType.getMapKeyTypeInfo(), entry.getKey()), fromLazyObject(mapType.getMapValueTypeInfo(), entry.getValue()));
}
return mapContent;
case STRUCT:
StructTypeInfo structType = (StructTypeInfo) type;
List<TypeInfo> info = structType.getAllStructFieldTypeInfos();
List<String> names = structType.getAllStructFieldNames();
Map<String, Object> structMap = Maps.newConcurrentMap();
List<Object> struct = ((LazyStruct) data).getFieldsAsList();
for (int structIndex = 0; structIndex < info.size(); structIndex++) {
structMap.put(names.get(structIndex), fromLazyObject(info.get(structIndex), struct.get(structIndex)));
}
return structMap;
case UNION:
throw new UnsupportedOperationException("union not yet supported");
default:
return data.toString();
}
}
use of org.apache.hadoop.hive.serde2.lazy.LazyPrimitive in project cdap by caskdata.
the class ObjectSerializer method serialize.
public Writable serialize(Object o, ObjectInspector objectInspector) {
//overwrite field names (as they get lost by Hive)
StructTypeInfo structTypeInfo = (StructTypeInfo) TypeInfoUtils.getTypeInfoFromObjectInspector(objectInspector);
structTypeInfo.setAllStructFieldNames(columnNames);
List<TypeInfo> info = structTypeInfo.getAllStructFieldTypeInfos();
List<String> names = structTypeInfo.getAllStructFieldNames();
Map<String, Object> recordMap = new HashMap<>();
List<Object> recordObjects = ((StructObjectInspector) objectInspector).getStructFieldsDataAsList(o);
for (int structIndex = 0; structIndex < info.size(); structIndex++) {
Object obj = recordObjects.get(structIndex);
TypeInfo objType = info.get(structIndex);
if (obj instanceof LazyNonPrimitive || obj instanceof LazyPrimitive) {
// In case the SerDe that deserialized the object is the one of a native table
recordMap.put(names.get(structIndex), fromLazyObject(objType, obj));
} else if (obj instanceof Writable) {
// Native tables sometimes introduce primitive Writable objects at this point
recordMap.put(names.get(structIndex), fromWritable((Writable) obj));
} else {
// In case the deserializer is the DatasetSerDe
recordMap.put(names.get(structIndex), serialize(obj, objType));
}
}
// TODO Improve serialization logic - CDAP-11
return new Text(GSON.toJson(recordMap));
}
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