use of org.apache.hadoop.hive.serde2.io.ByteWritable in project hive by apache.
the class VectorAssignRow method assignRowColumn.
private void assignRowColumn(ColumnVector columnVector, int batchIndex, TypeInfo targetTypeInfo, Object object) {
if (object == null) {
assignNullRowColumn(columnVector, batchIndex, targetTypeInfo);
return;
}
switch(targetTypeInfo.getCategory()) {
case PRIMITIVE:
{
final PrimitiveCategory targetPrimitiveCategory = ((PrimitiveTypeInfo) targetTypeInfo).getPrimitiveCategory();
switch(targetPrimitiveCategory) {
case VOID:
VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
return;
case BOOLEAN:
if (object instanceof Boolean) {
((LongColumnVector) columnVector).vector[batchIndex] = (((Boolean) object) ? 1 : 0);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = (((BooleanWritable) object).get() ? 1 : 0);
}
break;
case BYTE:
if (object instanceof Byte) {
((LongColumnVector) columnVector).vector[batchIndex] = ((Byte) object);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((ByteWritable) object).get();
}
break;
case SHORT:
if (object instanceof Short) {
((LongColumnVector) columnVector).vector[batchIndex] = ((Short) object);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((ShortWritable) object).get();
}
break;
case INT:
if (object instanceof Integer) {
((LongColumnVector) columnVector).vector[batchIndex] = ((Integer) object);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((IntWritable) object).get();
}
break;
case LONG:
if (object instanceof Long) {
((LongColumnVector) columnVector).vector[batchIndex] = ((Long) object);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((LongWritable) object).get();
}
break;
case TIMESTAMP:
if (object instanceof Timestamp) {
((TimestampColumnVector) columnVector).set(batchIndex, ((Timestamp) object).toSqlTimestamp());
} else {
((TimestampColumnVector) columnVector).set(batchIndex, ((TimestampWritableV2) object).getTimestamp().toSqlTimestamp());
}
break;
case DATE:
if (object instanceof Date) {
((LongColumnVector) columnVector).vector[batchIndex] = DateWritableV2.dateToDays((Date) object);
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((DateWritableV2) object).getDays();
}
break;
case FLOAT:
if (object instanceof Float) {
((DoubleColumnVector) columnVector).vector[batchIndex] = ((Float) object);
} else {
((DoubleColumnVector) columnVector).vector[batchIndex] = ((FloatWritable) object).get();
}
break;
case DOUBLE:
if (object instanceof Double) {
((DoubleColumnVector) columnVector).vector[batchIndex] = ((Double) object);
} else {
((DoubleColumnVector) columnVector).vector[batchIndex] = ((DoubleWritable) object).get();
}
break;
case BINARY:
{
if (object instanceof byte[]) {
byte[] bytes = (byte[]) object;
((BytesColumnVector) columnVector).setVal(batchIndex, bytes, 0, bytes.length);
} else {
BytesWritable bw = (BytesWritable) object;
((BytesColumnVector) columnVector).setVal(batchIndex, bw.getBytes(), 0, bw.getLength());
}
}
break;
case STRING:
{
if (object instanceof String) {
String string = (String) object;
byte[] bytes = string.getBytes();
((BytesColumnVector) columnVector).setVal(batchIndex, bytes, 0, bytes.length);
} else {
Text tw = (Text) object;
((BytesColumnVector) columnVector).setVal(batchIndex, tw.getBytes(), 0, tw.getLength());
}
}
break;
case VARCHAR:
{
// UNDONE: Performance problem with conversion to String, then bytes...
// We store VARCHAR type stripped of pads.
HiveVarchar hiveVarchar;
if (object instanceof HiveVarchar) {
hiveVarchar = (HiveVarchar) object;
} else {
hiveVarchar = ((HiveVarcharWritable) object).getHiveVarchar();
}
// TODO: HIVE-13624 Do we need maxLength checking?
byte[] bytes = hiveVarchar.getValue().getBytes();
((BytesColumnVector) columnVector).setVal(batchIndex, bytes, 0, bytes.length);
}
break;
case CHAR:
{
// UNDONE: Performance problem with conversion to String, then bytes...
// We store CHAR type stripped of pads.
HiveChar hiveChar;
if (object instanceof HiveChar) {
hiveChar = (HiveChar) object;
} else {
hiveChar = ((HiveCharWritable) object).getHiveChar();
}
// TODO: HIVE-13624 Do we need maxLength checking?
// We store CHAR in vector row batch with padding stripped.
byte[] bytes = hiveChar.getStrippedValue().getBytes();
((BytesColumnVector) columnVector).setVal(batchIndex, bytes, 0, bytes.length);
}
break;
case DECIMAL:
if (columnVector instanceof DecimalColumnVector) {
if (object instanceof HiveDecimal) {
((DecimalColumnVector) columnVector).set(batchIndex, (HiveDecimal) object);
} else {
((DecimalColumnVector) columnVector).set(batchIndex, (HiveDecimalWritable) object);
}
} else {
if (object instanceof HiveDecimal) {
((Decimal64ColumnVector) columnVector).set(batchIndex, (HiveDecimal) object);
} else {
((Decimal64ColumnVector) columnVector).set(batchIndex, (HiveDecimalWritable) object);
}
}
break;
case INTERVAL_YEAR_MONTH:
if (object instanceof HiveIntervalYearMonth) {
((LongColumnVector) columnVector).vector[batchIndex] = ((HiveIntervalYearMonth) object).getTotalMonths();
} else {
((LongColumnVector) columnVector).vector[batchIndex] = ((HiveIntervalYearMonthWritable) object).getHiveIntervalYearMonth().getTotalMonths();
}
break;
case INTERVAL_DAY_TIME:
if (object instanceof HiveIntervalDayTime) {
((IntervalDayTimeColumnVector) columnVector).set(batchIndex, (HiveIntervalDayTime) object);
} else {
((IntervalDayTimeColumnVector) columnVector).set(batchIndex, ((HiveIntervalDayTimeWritable) object).getHiveIntervalDayTime());
}
break;
default:
throw new RuntimeException("Primitive category " + targetPrimitiveCategory.name() + " not supported");
}
}
break;
case LIST:
{
final ListColumnVector listColumnVector = (ListColumnVector) columnVector;
final ListTypeInfo listTypeInfo = (ListTypeInfo) targetTypeInfo;
final TypeInfo elementTypeInfo = listTypeInfo.getListElementTypeInfo();
final List list = (List) object;
final int size = list.size();
final int childCount = listColumnVector.childCount;
listColumnVector.offsets[batchIndex] = childCount;
listColumnVector.lengths[batchIndex] = size;
listColumnVector.childCount = childCount + size;
listColumnVector.child.ensureSize(childCount + size, true);
for (int i = 0; i < size; i++) {
assignRowColumn(listColumnVector.child, childCount + i, elementTypeInfo, list.get(i));
}
}
break;
case MAP:
{
final MapColumnVector mapColumnVector = (MapColumnVector) columnVector;
final MapTypeInfo mapTypeInfo = (MapTypeInfo) targetTypeInfo;
final Map<Object, Object> map = (Map<Object, Object>) object;
final int size = map.size();
int childCount = mapColumnVector.childCount;
mapColumnVector.offsets[batchIndex] = childCount;
mapColumnVector.lengths[batchIndex] = size;
mapColumnVector.keys.ensureSize(childCount + size, true);
mapColumnVector.values.ensureSize(childCount + size, true);
for (Map.Entry<Object, Object> entry : map.entrySet()) {
assignRowColumn(mapColumnVector.keys, childCount, mapTypeInfo.getMapKeyTypeInfo(), entry.getKey());
assignRowColumn(mapColumnVector.values, childCount, mapTypeInfo.getMapValueTypeInfo(), entry.getValue());
childCount++;
}
mapColumnVector.childCount = childCount;
}
break;
case STRUCT:
{
final StructColumnVector structColumnVector = (StructColumnVector) columnVector;
final StructTypeInfo targetStructTypeInfo = (StructTypeInfo) targetTypeInfo;
final List<TypeInfo> targetFieldTypeInfos = targetStructTypeInfo.getAllStructFieldTypeInfos();
final int size = targetFieldTypeInfos.size();
if (object instanceof List) {
final List struct = (List) object;
for (int i = 0; i < size; i++) {
assignRowColumn(structColumnVector.fields[i], batchIndex, targetFieldTypeInfos.get(i), struct.get(i));
}
} else {
final Object[] array = (Object[]) object;
for (int i = 0; i < size; i++) {
assignRowColumn(structColumnVector.fields[i], batchIndex, targetFieldTypeInfos.get(i), array[i]);
}
}
}
break;
case UNION:
{
final StandardUnion union = (StandardUnion) object;
final UnionColumnVector unionColumnVector = (UnionColumnVector) columnVector;
final UnionTypeInfo unionTypeInfo = (UnionTypeInfo) targetTypeInfo;
final List<TypeInfo> objectTypeInfos = unionTypeInfo.getAllUnionObjectTypeInfos();
final byte tag = union.getTag();
unionColumnVector.tags[batchIndex] = tag;
assignRowColumn(unionColumnVector.fields[tag], batchIndex, objectTypeInfos.get(tag), union.getObject());
}
break;
default:
throw new RuntimeException("Category " + targetTypeInfo.getCategory().name() + " not supported");
}
/*
* We always set the null flag to false when there is a value.
*/
columnVector.isNull[batchIndex] = false;
}
use of org.apache.hadoop.hive.serde2.io.ByteWritable in project hive by apache.
the class TestHBaseSerDe method testHBaseSerDeWithHiveMapToHBaseColumnFamily.
@Test
public void testHBaseSerDeWithHiveMapToHBaseColumnFamily() throws SerDeException {
byte[] cfint = "cf-int".getBytes();
byte[] cfbyte = "cf-byte".getBytes();
byte[] cfshort = "cf-short".getBytes();
byte[] cflong = "cf-long".getBytes();
byte[] cffloat = "cf-float".getBytes();
byte[] cfdouble = "cf-double".getBytes();
byte[] cfbool = "cf-bool".getBytes();
byte[][] columnFamilies = new byte[][] { cfint, cfbyte, cfshort, cflong, cffloat, cfdouble, cfbool };
byte[][] rowKeys = new byte[][] { Integer.toString(1).getBytes(), Integer.toString(Integer.MIN_VALUE).getBytes(), Integer.toString(Integer.MAX_VALUE).getBytes() };
byte[][][] columnQualifiersAndValues = new byte[][][] { { Bytes.toBytes(1), new byte[] { 1 }, Bytes.toBytes((short) 1), Bytes.toBytes((long) 1), Bytes.toBytes(1.0F), Bytes.toBytes(1.0), Bytes.toBytes(true) }, { Bytes.toBytes(Integer.MIN_VALUE), new byte[] { Byte.MIN_VALUE }, Bytes.toBytes(Short.MIN_VALUE), Bytes.toBytes(Long.MIN_VALUE), Bytes.toBytes(Float.MIN_VALUE), Bytes.toBytes(Double.MIN_VALUE), Bytes.toBytes(false) }, { Bytes.toBytes(Integer.MAX_VALUE), new byte[] { Byte.MAX_VALUE }, Bytes.toBytes(Short.MAX_VALUE), Bytes.toBytes(Long.MAX_VALUE), Bytes.toBytes(Float.MAX_VALUE), Bytes.toBytes(Double.MAX_VALUE), Bytes.toBytes(true) } };
List<Cell> kvs = new ArrayList<Cell>();
Result[] r = new Result[] { null, null, null };
Put[] p = new Put[] { null, null, null };
for (int i = 0; i < r.length; i++) {
kvs.clear();
p[i] = new Put(rowKeys[i]);
for (int j = 0; j < columnQualifiersAndValues[i].length; j++) {
kvs.add(new KeyValue(rowKeys[i], columnFamilies[j], columnQualifiersAndValues[i][j], columnQualifiersAndValues[i][j]));
p[i].addColumn(columnFamilies[j], columnQualifiersAndValues[i][j], columnQualifiersAndValues[i][j]);
}
r[i] = Result.create(kvs);
}
Object[][] expectedData = { { new Text(Integer.toString(1)), new IntWritable(1), new ByteWritable((byte) 1), new ShortWritable((short) 1), new LongWritable(1), new FloatWritable(1.0F), new DoubleWritable(1.0), new BooleanWritable(true) }, { new Text(Integer.toString(Integer.MIN_VALUE)), new IntWritable(Integer.MIN_VALUE), new ByteWritable(Byte.MIN_VALUE), new ShortWritable(Short.MIN_VALUE), new LongWritable(Long.MIN_VALUE), new FloatWritable(Float.MIN_VALUE), new DoubleWritable(Double.MIN_VALUE), new BooleanWritable(false) }, { new Text(Integer.toString(Integer.MAX_VALUE)), new IntWritable(Integer.MAX_VALUE), new ByteWritable(Byte.MAX_VALUE), new ShortWritable(Short.MAX_VALUE), new LongWritable(Long.MAX_VALUE), new FloatWritable(Float.MAX_VALUE), new DoubleWritable(Double.MAX_VALUE), new BooleanWritable(true) } };
HBaseSerDe hbaseSerDe = new HBaseSerDe();
Configuration conf = new Configuration();
Properties tbl = createPropertiesForHiveMapHBaseColumnFamily();
hbaseSerDe.initialize(conf, tbl, null);
deserializeAndSerializeHiveMapHBaseColumnFamily(hbaseSerDe, r, p, expectedData, rowKeys, columnFamilies, columnQualifiersAndValues);
hbaseSerDe = new HBaseSerDe();
conf = new Configuration();
tbl = createPropertiesForHiveMapHBaseColumnFamilyII();
hbaseSerDe.initialize(conf, tbl, null);
deserializeAndSerializeHiveMapHBaseColumnFamily(hbaseSerDe, r, p, expectedData, rowKeys, columnFamilies, columnQualifiersAndValues);
}
use of org.apache.hadoop.hive.serde2.io.ByteWritable in project hive by apache.
the class TestHBaseSerDe method testHBaseSerDeWithHiveMapToHBaseColumnFamilyII.
@Test
public void testHBaseSerDeWithHiveMapToHBaseColumnFamilyII() throws SerDeException {
byte[] cfbyte = "cf-byte".getBytes();
byte[] cfshort = "cf-short".getBytes();
byte[] cfint = "cf-int".getBytes();
byte[] cflong = "cf-long".getBytes();
byte[] cffloat = "cf-float".getBytes();
byte[] cfdouble = "cf-double".getBytes();
byte[] cfstring = "cf-string".getBytes();
byte[] cfbool = "cf-bool".getBytes();
byte[][] columnFamilies = new byte[][] { cfbyte, cfshort, cfint, cflong, cffloat, cfdouble, cfstring, cfbool };
byte[] rowKey = Bytes.toBytes("row-key");
byte[][] columnQualifiersAndValues = new byte[][] { Bytes.toBytes("123"), Bytes.toBytes("456"), Bytes.toBytes("789"), Bytes.toBytes("1000"), Bytes.toBytes("-0.01"), Bytes.toBytes("5.3"), Bytes.toBytes("Hive"), Bytes.toBytes("true") };
Put p = new Put(rowKey);
List<Cell> kvs = new ArrayList<Cell>();
for (int j = 0; j < columnQualifiersAndValues.length; j++) {
kvs.add(new KeyValue(rowKey, columnFamilies[j], columnQualifiersAndValues[j], columnQualifiersAndValues[j]));
p.addColumn(columnFamilies[j], columnQualifiersAndValues[j], columnQualifiersAndValues[j]);
}
Result r = Result.create(kvs);
Object[] expectedData = { new Text("row-key"), new ByteWritable((byte) 123), new ShortWritable((short) 456), new IntWritable(789), new LongWritable(1000), new FloatWritable(-0.01F), new DoubleWritable(5.3), new Text("Hive"), new BooleanWritable(true) };
HBaseSerDe hbaseSerDe = new HBaseSerDe();
Configuration conf = new Configuration();
Properties tbl = createPropertiesForHiveMapHBaseColumnFamilyII_I();
hbaseSerDe.initialize(conf, tbl, null);
deserializeAndSerializeHiveMapHBaseColumnFamilyII(hbaseSerDe, r, p, expectedData, columnFamilies, columnQualifiersAndValues);
hbaseSerDe = new HBaseSerDe();
conf = new Configuration();
tbl = createPropertiesForHiveMapHBaseColumnFamilyII_II();
hbaseSerDe.initialize(conf, tbl, null);
deserializeAndSerializeHiveMapHBaseColumnFamilyII(hbaseSerDe, r, p, expectedData, columnFamilies, columnQualifiersAndValues);
}
use of org.apache.hadoop.hive.serde2.io.ByteWritable in project hive by apache.
the class TestHBaseSerDe method testHBaseSerDeI.
/**
* Test the default behavior of the Lazy family of objects and object inspectors.
*/
@Test
public void testHBaseSerDeI() throws SerDeException {
byte[] cfa = "cola".getBytes();
byte[] cfb = "colb".getBytes();
byte[] cfc = "colc".getBytes();
byte[] qualByte = "byte".getBytes();
byte[] qualShort = "short".getBytes();
byte[] qualInt = "int".getBytes();
byte[] qualLong = "long".getBytes();
byte[] qualFloat = "float".getBytes();
byte[] qualDouble = "double".getBytes();
byte[] qualString = "string".getBytes();
byte[] qualBool = "boolean".getBytes();
byte[] rowKey = Bytes.toBytes("test-row1");
// Data
List<Cell> kvs = new ArrayList<Cell>();
kvs.add(new KeyValue(rowKey, cfa, qualByte, Bytes.toBytes("123")));
kvs.add(new KeyValue(rowKey, cfb, qualShort, Bytes.toBytes("456")));
kvs.add(new KeyValue(rowKey, cfc, qualInt, Bytes.toBytes("789")));
kvs.add(new KeyValue(rowKey, cfa, qualLong, Bytes.toBytes("1000")));
kvs.add(new KeyValue(rowKey, cfb, qualFloat, Bytes.toBytes("-0.01")));
kvs.add(new KeyValue(rowKey, cfc, qualDouble, Bytes.toBytes("5.3")));
kvs.add(new KeyValue(rowKey, cfa, qualString, Bytes.toBytes("Hadoop, HBase, and Hive")));
kvs.add(new KeyValue(rowKey, cfb, qualBool, Bytes.toBytes("true")));
Collections.sort(kvs, KeyValue.COMPARATOR);
Result r = Result.create(kvs);
Put p = new Put(rowKey);
p.addColumn(cfa, qualByte, Bytes.toBytes("123"));
p.addColumn(cfb, qualShort, Bytes.toBytes("456"));
p.addColumn(cfc, qualInt, Bytes.toBytes("789"));
p.addColumn(cfa, qualLong, Bytes.toBytes("1000"));
p.addColumn(cfb, qualFloat, Bytes.toBytes("-0.01"));
p.addColumn(cfc, qualDouble, Bytes.toBytes("5.3"));
p.addColumn(cfa, qualString, Bytes.toBytes("Hadoop, HBase, and Hive"));
p.addColumn(cfb, qualBool, Bytes.toBytes("true"));
Object[] expectedFieldsData = { new Text("test-row1"), new ByteWritable((byte) 123), new ShortWritable((short) 456), new IntWritable(789), new LongWritable(1000), new FloatWritable(-0.01F), new DoubleWritable(5.3), new Text("Hadoop, HBase, and Hive"), new BooleanWritable(true) };
// Create, initialize, and test the SerDe
HBaseSerDe serDe = new HBaseSerDe();
Configuration conf = new Configuration();
Properties tbl = createPropertiesI_I();
serDe.initialize(conf, tbl, null);
deserializeAndSerialize(serDe, r, p, expectedFieldsData);
serDe = new HBaseSerDe();
conf = new Configuration();
tbl = createPropertiesI_II();
serDe.initialize(conf, tbl, null);
deserializeAndSerialize(serDe, r, p, expectedFieldsData);
serDe = new HBaseSerDe();
conf = new Configuration();
tbl = createPropertiesI_III();
serDe.initialize(conf, tbl, null);
deserializeAndSerialize(serDe, r, p, expectedFieldsData);
serDe = new HBaseSerDe();
conf = new Configuration();
tbl = createPropertiesI_IV();
serDe.initialize(conf, tbl, null);
deserializeAndSerialize(serDe, r, p, expectedFieldsData);
}
use of org.apache.hadoop.hive.serde2.io.ByteWritable in project hive by apache.
the class TestLazyHBaseObject method testLazyHBaseRow3.
/**
* Test the LazyHBaseRow class with a one-to-one/onto mapping between Hive columns and
* HBase column family/column qualifier pairs. The column types are primitive and fields
* are stored in binary format in HBase.
* @throws SerDeException
*/
@Test
public void testLazyHBaseRow3() throws SerDeException {
List<TypeInfo> fieldTypeInfos = TypeInfoUtils.getTypeInfosFromTypeString("string,int,tinyint,smallint,bigint,float,double,string,boolean");
List<String> fieldNames = Arrays.asList(new String[] { "key", "c_int", "c_byte", "c_short", "c_long", "c_float", "c_double", "c_string", "c_bool" });
Text nullSequence = new Text("\\N");
String hbaseColumnsMapping = ":key#str,cf-int:cq-int#bin,cf-byte:cq-byte#bin," + "cf-short:cq-short#bin,cf-long:cq-long#bin,cf-float:cq-float#bin,cf-double:cq-double#bin," + "cf-string:cq-string#str,cf-bool:cq-bool#bin";
ColumnMappings columnMappings = null;
try {
columnMappings = HBaseSerDe.parseColumnsMapping(hbaseColumnsMapping);
} catch (SerDeException e) {
fail(e.toString());
}
ColumnMapping[] columnsMapping = columnMappings.getColumnsMapping();
for (int i = 0; i < columnsMapping.length; i++) {
ColumnMapping colMap = columnsMapping[i];
if (i == 0 || i == 7) {
colMap.binaryStorage.add(false);
} else {
colMap.binaryStorage.add(true);
}
}
ObjectInspector oi = LazyFactory.createLazyStructInspector(fieldNames, fieldTypeInfos, new byte[] { ' ', ':', '=' }, nullSequence, false, false, (byte) 0);
LazyHBaseRow o = new LazyHBaseRow((LazySimpleStructObjectInspector) oi, columnMappings);
byte[] rowKey = "row-key".getBytes();
List<Cell> kvs = new ArrayList<Cell>();
byte[] value;
for (int i = 1; i < columnsMapping.length; i++) {
switch(i) {
case 1:
value = Bytes.toBytes(1);
break;
case 2:
value = new byte[] { (byte) 1 };
break;
case 3:
value = Bytes.toBytes((short) 1);
break;
case 4:
value = Bytes.toBytes((long) 1);
break;
case 5:
value = Bytes.toBytes(1.0F);
break;
case 6:
value = Bytes.toBytes(1.0);
break;
case 7:
value = "Hadoop, Hive, with HBase storage handler.".getBytes();
break;
case 8:
value = Bytes.toBytes(true);
break;
default:
throw new RuntimeException("Not expected: " + i);
}
ColumnMapping colMap = columnsMapping[i];
kvs.add(new KeyValue(rowKey, colMap.familyNameBytes, colMap.qualifierNameBytes, value));
}
Collections.sort(kvs, KeyValue.COMPARATOR);
Result result = Result.create(kvs);
o.init(result);
List<? extends StructField> fieldRefs = ((StructObjectInspector) oi).getAllStructFieldRefs();
for (int i = 0; i < fieldRefs.size(); i++) {
Object fieldData = ((StructObjectInspector) oi).getStructFieldData(o, fieldRefs.get(i));
assert (fieldData != null);
assert (fieldData instanceof LazyPrimitive<?, ?>);
Writable writable = ((LazyPrimitive<?, ?>) fieldData).getWritableObject();
switch(i) {
case 0:
Text text = new Text("row-key");
assertEquals(text, writable);
break;
case 1:
IntWritable iw = new IntWritable(1);
assertEquals(iw, writable);
break;
case 2:
ByteWritable bw = new ByteWritable((byte) 1);
assertEquals(bw, writable);
break;
case 3:
ShortWritable sw = new ShortWritable((short) 1);
assertEquals(sw, writable);
break;
case 4:
LongWritable lw = new LongWritable(1);
assertEquals(lw, writable);
break;
case 5:
FloatWritable fw = new FloatWritable(1.0F);
assertEquals(fw, writable);
break;
case 6:
DoubleWritable dw = new DoubleWritable(1.0);
assertEquals(dw, writable);
break;
case 7:
Text t = new Text("Hadoop, Hive, with HBase storage handler.");
assertEquals(t, writable);
break;
case 8:
BooleanWritable boolWritable = new BooleanWritable(true);
assertEquals(boolWritable, writable);
break;
default:
fail("Error: Unanticipated value in deserializing fields for HBaseSerDe.");
break;
}
}
}
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