Examples with HiveVarcharWritable org.apache.hadoop.hive.serde2.io.HiveVarcharWritable used on opensource projects

Example 21 with HiveVarcharWritable

use of org.apache.hadoop.hive.serde2.io.HiveVarcharWritable in project hive by apache.

the class VerifyFastRow method serializeWrite.

public static void serializeWrite(SerializeWrite serializeWrite, TypeInfo typeInfo, Object object) throws IOException {
    if (object == null) {
        serializeWrite.writeNull();
        return;
    }
    switch(typeInfo.getCategory()) {
        case PRIMITIVE:
            {
                PrimitiveTypeInfo primitiveTypeInfo = (PrimitiveTypeInfo) typeInfo;
                switch(primitiveTypeInfo.getPrimitiveCategory()) {
                    case BOOLEAN:
                        {
                            boolean value = ((BooleanWritable) object).get();
                            serializeWrite.writeBoolean(value);
                        }
                        break;
                    case BYTE:
                        {
                            byte value = ((ByteWritable) object).get();
                            serializeWrite.writeByte(value);
                        }
                        break;
                    case SHORT:
                        {
                            short value = ((ShortWritable) object).get();
                            serializeWrite.writeShort(value);
                        }
                        break;
                    case INT:
                        {
                            int value = ((IntWritable) object).get();
                            serializeWrite.writeInt(value);
                        }
                        break;
                    case LONG:
                        {
                            long value = ((LongWritable) object).get();
                            serializeWrite.writeLong(value);
                        }
                        break;
                    case FLOAT:
                        {
                            float value = ((FloatWritable) object).get();
                            serializeWrite.writeFloat(value);
                        }
                        break;
                    case DOUBLE:
                        {
                            double value = ((DoubleWritable) object).get();
                            serializeWrite.writeDouble(value);
                        }
                        break;
                    case STRING:
                        {
                            Text value = (Text) object;
                            byte[] stringBytes = value.getBytes();
                            int stringLength = stringBytes.length;
                            serializeWrite.writeString(stringBytes, 0, stringLength);
                        }
                        break;
                    case CHAR:
                        {
                            HiveChar value = ((HiveCharWritable) object).getHiveChar();
                            serializeWrite.writeHiveChar(value);
                        }
                        break;
                    case VARCHAR:
                        {
                            HiveVarchar value = ((HiveVarcharWritable) object).getHiveVarchar();
                            serializeWrite.writeHiveVarchar(value);
                        }
                        break;
                    case DECIMAL:
                        {
                            HiveDecimal value = ((HiveDecimalWritable) object).getHiveDecimal();
                            DecimalTypeInfo decTypeInfo = (DecimalTypeInfo) primitiveTypeInfo;
                            serializeWrite.writeHiveDecimal(value, decTypeInfo.scale());
                        }
                        break;
                    case DATE:
                        {
                            Date value = ((DateWritable) object).get();
                            serializeWrite.writeDate(value);
                        }
                        break;
                    case TIMESTAMP:
                        {
                            Timestamp value = ((TimestampWritable) object).getTimestamp();
                            serializeWrite.writeTimestamp(value);
                        }
                        break;
                    case INTERVAL_YEAR_MONTH:
                        {
                            HiveIntervalYearMonth value = ((HiveIntervalYearMonthWritable) object).getHiveIntervalYearMonth();
                            serializeWrite.writeHiveIntervalYearMonth(value);
                        }
                        break;
                    case INTERVAL_DAY_TIME:
                        {
                            HiveIntervalDayTime value = ((HiveIntervalDayTimeWritable) object).getHiveIntervalDayTime();
                            serializeWrite.writeHiveIntervalDayTime(value);
                        }
                        break;
                    case BINARY:
                        {
                            BytesWritable byteWritable = (BytesWritable) object;
                            byte[] binaryBytes = byteWritable.getBytes();
                            int length = byteWritable.getLength();
                            serializeWrite.writeBinary(binaryBytes, 0, length);
                        }
                        break;
                    default:
                        throw new Error("Unknown primitive category " + primitiveTypeInfo.getPrimitiveCategory().name());
                }
            }
            break;
        case LIST:
            {
                ListTypeInfo listTypeInfo = (ListTypeInfo) typeInfo;
                TypeInfo elementTypeInfo = listTypeInfo.getListElementTypeInfo();
                ArrayList<Object> elements = (ArrayList<Object>) object;
                serializeWrite.beginList(elements);
                boolean isFirst = true;
                for (Object elementObject : elements) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateList();
                    }
                    if (elementObject == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, elementTypeInfo, elementObject);
                    }
                }
                serializeWrite.finishList();
            }
            break;
        case MAP:
            {
                MapTypeInfo mapTypeInfo = (MapTypeInfo) typeInfo;
                TypeInfo keyTypeInfo = mapTypeInfo.getMapKeyTypeInfo();
                TypeInfo valueTypeInfo = mapTypeInfo.getMapValueTypeInfo();
                HashMap<Object, Object> hashMap = (HashMap<Object, Object>) object;
                serializeWrite.beginMap(hashMap);
                boolean isFirst = true;
                for (Map.Entry<Object, Object> entry : hashMap.entrySet()) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateKeyValuePair();
                    }
                    if (entry.getKey() == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, keyTypeInfo, entry.getKey());
                    }
                    serializeWrite.separateKey();
                    if (entry.getValue() == null) {
                        serializeWrite.writeNull();
                    } else {
                        serializeWrite(serializeWrite, valueTypeInfo, entry.getValue());
                    }
                }
                serializeWrite.finishMap();
            }
            break;
        case STRUCT:
            {
                StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo;
                ArrayList<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos();
                ArrayList<Object> fieldValues = (ArrayList<Object>) object;
                final int size = fieldValues.size();
                serializeWrite.beginStruct(fieldValues);
                boolean isFirst = true;
                for (int i = 0; i < size; i++) {
                    if (isFirst) {
                        isFirst = false;
                    } else {
                        serializeWrite.separateStruct();
                    }
                    serializeWrite(serializeWrite, fieldTypeInfos.get(i), fieldValues.get(i));
                }
                serializeWrite.finishStruct();
            }
            break;
        case UNION:
            {
                UnionTypeInfo unionTypeInfo = (UnionTypeInfo) typeInfo;
                List<TypeInfo> fieldTypeInfos = unionTypeInfo.getAllUnionObjectTypeInfos();
                final int size = fieldTypeInfos.size();
                StandardUnionObjectInspector.StandardUnion standardUnion = (StandardUnionObjectInspector.StandardUnion) object;
                byte tag = standardUnion.getTag();
                serializeWrite.beginUnion(tag);
                serializeWrite(serializeWrite, fieldTypeInfos.get(tag), standardUnion.getObject());
                serializeWrite.finishUnion();
            }
            break;
        default:
            throw new Error("Unknown category " + typeInfo.getCategory().name());
    }
}

Example 22 with HiveVarcharWritable

use of org.apache.hadoop.hive.serde2.io.HiveVarcharWritable in project hive by apache.

the class TestGenericUDFLikeAny method testTrue.

@Test
public void testTrue() throws HiveException {
    udf = new GenericUDFLikeAny();
    ObjectInspector valueOIOne = PrimitiveObjectInspectorFactory.writableStringObjectInspector;
    ObjectInspector valueOITwo = PrimitiveObjectInspectorFactory.writableStringObjectInspector;
    ObjectInspector valueOIThree = PrimitiveObjectInspectorFactory.writableStringObjectInspector;
    ObjectInspector[] arguments = { valueOIOne, valueOITwo, valueOIThree };
    udf.initialize(arguments);
    DeferredJavaObject valueObjOne = new DeferredJavaObject(new Text("abc"));
    DeferredJavaObject valueObjTwo = new DeferredJavaObject(new Text("%b%"));
    HiveVarchar vc = new HiveVarchar();
    vc.setValue("a%");
    GenericUDF.DeferredJavaObject[] args = { valueObjOne, valueObjTwo, new GenericUDF.DeferredJavaObject(new HiveVarcharWritable(vc)) };
    BooleanWritable output = (BooleanWritable) udf.evaluate(args);
    assertEquals(true, output.get());
}

Example 23 with HiveVarcharWritable

use of org.apache.hadoop.hive.serde2.io.HiveVarcharWritable in project hive by apache.

the class ReaderWriter method readDatum.

public static Object readDatum(DataInput in) throws IOException {
    byte type = in.readByte();
    switch(type) {
        case DataType.STRING:
            byte[] buffer = new byte[in.readInt()];
            in.readFully(buffer);
            return new String(buffer, UTF8);
        case DataType.INTEGER:
            VIntWritable vint = new VIntWritable();
            vint.readFields(in);
            return vint.get();
        case DataType.LONG:
            VLongWritable vlong = new VLongWritable();
            vlong.readFields(in);
            return vlong.get();
        case DataType.FLOAT:
            return in.readFloat();
        case DataType.DOUBLE:
            return in.readDouble();
        case DataType.BOOLEAN:
            return in.readBoolean();
        case DataType.BYTE:
            return in.readByte();
        case DataType.SHORT:
            return in.readShort();
        case DataType.NULL:
            return null;
        case DataType.BINARY:
            int len = in.readInt();
            byte[] ba = new byte[len];
            in.readFully(ba);
            return ba;
        case DataType.MAP:
            int size = in.readInt();
            Map<Object, Object> m = new HashMap<Object, Object>(size);
            for (int i = 0; i < size; i++) {
                m.put(readDatum(in), readDatum(in));
            }
            return m;
        case DataType.LIST:
            int sz = in.readInt();
            List<Object> list = new ArrayList<Object>(sz);
            for (int i = 0; i < sz; i++) {
                list.add(readDatum(in));
            }
            return list;
        case DataType.CHAR:
            HiveCharWritable hcw = new HiveCharWritable();
            hcw.readFields(in);
            return hcw.getHiveChar();
        case DataType.VARCHAR:
            HiveVarcharWritable hvw = new HiveVarcharWritable();
            hvw.readFields(in);
            return hvw.getHiveVarchar();
        case DataType.DECIMAL:
            HiveDecimalWritable hdw = new HiveDecimalWritable();
            hdw.readFields(in);
            return hdw.getHiveDecimal();
        case DataType.DATE:
            DateWritable dw = new DateWritable();
            dw.readFields(in);
            return dw.get();
        case DataType.TIMESTAMP:
            TimestampWritable tw = new TimestampWritable();
            tw.readFields(in);
            return tw.getTimestamp();
        default:
            throw new IOException("Unexpected data type " + type + " found in stream.");
    }
}

Example 24 with HiveVarcharWritable

use of org.apache.hadoop.hive.serde2.io.HiveVarcharWritable in project hive by apache.

the class VerifyFastRow method verifyDeserializeRead.

public static void verifyDeserializeRead(DeserializeRead deserializeRead, PrimitiveTypeInfo primitiveTypeInfo, Writable writable) throws IOException {
    boolean isNull;
    isNull = !deserializeRead.readNextField();
    if (isNull) {
        if (writable != null) {
            TestCase.fail(deserializeRead.getClass().getName() + " field reports null but object is not null " + "(class " + writable.getClass().getName() + ", " + writable.toString() + ")");
        }
        return;
    } else if (writable == null) {
        TestCase.fail("Field report not null but object is null");
    }
    switch(primitiveTypeInfo.getPrimitiveCategory()) {
        case BOOLEAN:
            {
                boolean value = deserializeRead.currentBoolean;
                if (!(writable instanceof BooleanWritable)) {
                    TestCase.fail("Boolean expected writable not Boolean");
                }
                boolean expected = ((BooleanWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Boolean field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case BYTE:
            {
                byte value = deserializeRead.currentByte;
                if (!(writable instanceof ByteWritable)) {
                    TestCase.fail("Byte expected writable not Byte");
                }
                byte expected = ((ByteWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Byte field mismatch (expected " + (int) expected + " found " + (int) value + ")");
                }
            }
            break;
        case SHORT:
            {
                short value = deserializeRead.currentShort;
                if (!(writable instanceof ShortWritable)) {
                    TestCase.fail("Short expected writable not Short");
                }
                short expected = ((ShortWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Short field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case INT:
            {
                int value = deserializeRead.currentInt;
                if (!(writable instanceof IntWritable)) {
                    TestCase.fail("Integer expected writable not Integer");
                }
                int expected = ((IntWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Int field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case LONG:
            {
                long value = deserializeRead.currentLong;
                if (!(writable instanceof LongWritable)) {
                    TestCase.fail("Long expected writable not Long");
                }
                Long expected = ((LongWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Long field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case FLOAT:
            {
                float value = deserializeRead.currentFloat;
                if (!(writable instanceof FloatWritable)) {
                    TestCase.fail("Float expected writable not Float");
                }
                float expected = ((FloatWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Float field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case DOUBLE:
            {
                double value = deserializeRead.currentDouble;
                if (!(writable instanceof DoubleWritable)) {
                    TestCase.fail("Double expected writable not Double");
                }
                double expected = ((DoubleWritable) writable).get();
                if (value != expected) {
                    TestCase.fail("Double field mismatch (expected " + expected + " found " + value + ")");
                }
            }
            break;
        case STRING:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                String expected = ((Text) writable).toString();
                if (!string.equals(expected)) {
                    TestCase.fail("String field mismatch (expected '" + expected + "' found '" + string + "')");
                }
            }
            break;
        case CHAR:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                HiveChar hiveChar = new HiveChar(string, ((CharTypeInfo) primitiveTypeInfo).getLength());
                HiveChar expected = ((HiveCharWritable) writable).getHiveChar();
                if (!hiveChar.equals(expected)) {
                    TestCase.fail("Char field mismatch (expected '" + expected + "' found '" + hiveChar + "')");
                }
            }
            break;
        case VARCHAR:
            {
                byte[] stringBytes = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                Text text = new Text(stringBytes);
                String string = text.toString();
                HiveVarchar hiveVarchar = new HiveVarchar(string, ((VarcharTypeInfo) primitiveTypeInfo).getLength());
                HiveVarchar expected = ((HiveVarcharWritable) writable).getHiveVarchar();
                if (!hiveVarchar.equals(expected)) {
                    TestCase.fail("Varchar field mismatch (expected '" + expected + "' found '" + hiveVarchar + "')");
                }
            }
            break;
        case DECIMAL:
            {
                HiveDecimal value = deserializeRead.currentHiveDecimalWritable.getHiveDecimal();
                if (value == null) {
                    TestCase.fail("Decimal field evaluated to NULL");
                }
                HiveDecimal expected = ((HiveDecimalWritable) writable).getHiveDecimal();
                if (!value.equals(expected)) {
                    DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) primitiveTypeInfo;
                    int precision = decimalTypeInfo.getPrecision();
                    int scale = decimalTypeInfo.getScale();
                    TestCase.fail("Decimal field mismatch (expected " + expected.toString() + " found " + value.toString() + ") precision " + precision + ", scale " + scale);
                }
            }
            break;
        case DATE:
            {
                Date value = deserializeRead.currentDateWritable.get();
                Date expected = ((DateWritable) writable).get();
                if (!value.equals(expected)) {
                    TestCase.fail("Date field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case TIMESTAMP:
            {
                Timestamp value = deserializeRead.currentTimestampWritable.getTimestamp();
                Timestamp expected = ((TimestampWritable) writable).getTimestamp();
                if (!value.equals(expected)) {
                    TestCase.fail("Timestamp field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case INTERVAL_YEAR_MONTH:
            {
                HiveIntervalYearMonth value = deserializeRead.currentHiveIntervalYearMonthWritable.getHiveIntervalYearMonth();
                HiveIntervalYearMonth expected = ((HiveIntervalYearMonthWritable) writable).getHiveIntervalYearMonth();
                if (!value.equals(expected)) {
                    TestCase.fail("HiveIntervalYearMonth field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case INTERVAL_DAY_TIME:
            {
                HiveIntervalDayTime value = deserializeRead.currentHiveIntervalDayTimeWritable.getHiveIntervalDayTime();
                HiveIntervalDayTime expected = ((HiveIntervalDayTimeWritable) writable).getHiveIntervalDayTime();
                if (!value.equals(expected)) {
                    TestCase.fail("HiveIntervalDayTime field mismatch (expected " + expected.toString() + " found " + value.toString() + ")");
                }
            }
            break;
        case BINARY:
            {
                byte[] byteArray = Arrays.copyOfRange(deserializeRead.currentBytes, deserializeRead.currentBytesStart, deserializeRead.currentBytesStart + deserializeRead.currentBytesLength);
                BytesWritable bytesWritable = (BytesWritable) writable;
                byte[] expected = Arrays.copyOfRange(bytesWritable.getBytes(), 0, bytesWritable.getLength());
                if (byteArray.length != expected.length) {
                    TestCase.fail("Byte Array field mismatch (expected " + Arrays.toString(expected) + " found " + Arrays.toString(byteArray) + ")");
                }
                for (int b = 0; b < byteArray.length; b++) {
                    if (byteArray[b] != expected[b]) {
                        TestCase.fail("Byte Array field mismatch (expected " + Arrays.toString(expected) + " found " + Arrays.toString(byteArray) + ")");
                    }
                }
            }
            break;
        default:
            throw new Error("Unknown primitive category " + primitiveTypeInfo.getPrimitiveCategory());
    }
}

Example 25 with HiveVarcharWritable

use of org.apache.hadoop.hive.serde2.io.HiveVarcharWritable in project hive by apache.

the class TestGenericUDFOPNegative method testVarchar.

@Test
public void testVarchar() throws HiveException {
    GenericUDFOPNegative udf = new GenericUDFOPNegative();
    HiveVarchar vc = new HiveVarchar("32300.004747", 12);
    HiveVarcharWritable input = new HiveVarcharWritable(vc);
    VarcharTypeInfo inputTypeInfo = TypeInfoFactory.getVarcharTypeInfo(12);
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(inputTypeInfo) };
    DeferredObject[] args = { new DeferredJavaObject(input) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(TypeInfoFactory.doubleTypeInfo, oi.getTypeInfo());
    DoubleWritable res = (DoubleWritable) udf.evaluate(args);
    Assert.assertEquals(new Double(-32300.004747), new Double(res.get()));
}