Examples with PRIMITIVE org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE used on opensource projects

Example 1 with PRIMITIVE

use of org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE in project hive by apache.

the class MultiDelimitSerDe method serializeNoEncode.

// This is basically the same as LazySimpleSerDe.serialize. Except that we don't use
// Base64 to encode binary data because we're using printable string as delimiter.
// Consider such a row "strAQ==\1", str is a string, AQ== is the delimiter and \1
// is the binary data.
private static void serializeNoEncode(ByteStream.Output out, Object obj, ObjectInspector objInspector, byte[] separators, int level, Text nullSequence, boolean escaped, byte escapeChar, boolean[] needsEscape) throws IOException, SerDeException {
    if (obj == null) {
        out.write(nullSequence.getBytes(), 0, nullSequence.getLength());
        return;
    }
    char separator;
    List<?> list;
    switch(objInspector.getCategory()) {
        case PRIMITIVE:
            PrimitiveObjectInspector oi = (PrimitiveObjectInspector) objInspector;
            if (oi.getPrimitiveCategory() == PrimitiveCategory.BINARY) {
                BytesWritable bw = ((BinaryObjectInspector) oi).getPrimitiveWritableObject(obj);
                byte[] toWrite = new byte[bw.getLength()];
                System.arraycopy(bw.getBytes(), 0, toWrite, 0, bw.getLength());
                out.write(toWrite, 0, toWrite.length);
            } else {
                LazyUtils.writePrimitiveUTF8(out, obj, oi, escaped, escapeChar, needsEscape);
            }
            return;
        case LIST:
            separator = (char) separators[level];
            ListObjectInspector loi = (ListObjectInspector) objInspector;
            list = loi.getList(obj);
            ObjectInspector eoi = loi.getListElementObjectInspector();
            if (list == null) {
                out.write(nullSequence.getBytes(), 0, nullSequence.getLength());
            } else {
                for (int i = 0; i < list.size(); i++) {
                    if (i > 0) {
                        out.write(separator);
                    }
                    serializeNoEncode(out, list.get(i), eoi, separators, level + 1, nullSequence, escaped, escapeChar, needsEscape);
                }
            }
            return;
        case MAP:
            separator = (char) separators[level];
            char keyValueSeparator = (char) separators[level + 1];
            MapObjectInspector moi = (MapObjectInspector) objInspector;
            ObjectInspector koi = moi.getMapKeyObjectInspector();
            ObjectInspector voi = moi.getMapValueObjectInspector();
            Map<?, ?> map = moi.getMap(obj);
            if (map == null) {
                out.write(nullSequence.getBytes(), 0, nullSequence.getLength());
            } else {
                boolean first = true;
                for (Map.Entry<?, ?> entry : map.entrySet()) {
                    if (first) {
                        first = false;
                    } else {
                        out.write(separator);
                    }
                    serializeNoEncode(out, entry.getKey(), koi, separators, level + 2, nullSequence, escaped, escapeChar, needsEscape);
                    out.write(keyValueSeparator);
                    serializeNoEncode(out, entry.getValue(), voi, separators, level + 2, nullSequence, escaped, escapeChar, needsEscape);
                }
            }
            return;
        case STRUCT:
            separator = (char) separators[level];
            StructObjectInspector soi = (StructObjectInspector) objInspector;
            List<? extends StructField> fields = soi.getAllStructFieldRefs();
            list = soi.getStructFieldsDataAsList(obj);
            if (list == null) {
                out.write(nullSequence.getBytes(), 0, nullSequence.getLength());
            } else {
                for (int i = 0; i < list.size(); i++) {
                    if (i > 0) {
                        out.write(separator);
                    }
                    serializeNoEncode(out, list.get(i), fields.get(i).getFieldObjectInspector(), separators, level + 1, nullSequence, escaped, escapeChar, needsEscape);
                }
            }
            return;
    }
    throw new RuntimeException("Unknown category type: " + objInspector.getCategory());
}

Example 2 with PRIMITIVE

use of org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE in project hive by apache.

the class VectorizedParquetRecordReader method buildVectorizedParquetReader.

// Build VectorizedParquetColumnReader via Hive typeInfo and Parquet schema
private VectorizedColumnReader buildVectorizedParquetReader(TypeInfo typeInfo, Type type, PageReadStore pages, List<ColumnDescriptor> columnDescriptors, String conversionTimeZone, int depth) throws IOException {
    List<ColumnDescriptor> descriptors = getAllColumnDescriptorByType(depth, type, columnDescriptors);
    switch(typeInfo.getCategory()) {
        case PRIMITIVE:
            if (columnDescriptors == null || columnDescriptors.isEmpty()) {
                throw new RuntimeException("Failed to find related Parquet column descriptor with type " + type);
            } else {
                return new VectorizedPrimitiveColumnReader(descriptors.get(0), pages.getPageReader(descriptors.get(0)), conversionTimeZone, type);
            }
        case STRUCT:
            StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo;
            List<VectorizedColumnReader> fieldReaders = new ArrayList<>();
            List<TypeInfo> fieldTypes = structTypeInfo.getAllStructFieldTypeInfos();
            List<Type> types = type.asGroupType().getFields();
            for (int i = 0; i < fieldTypes.size(); i++) {
                VectorizedColumnReader r = buildVectorizedParquetReader(fieldTypes.get(i), types.get(i), pages, descriptors, conversionTimeZone, depth + 1);
                if (r != null) {
                    fieldReaders.add(r);
                } else {
                    throw new RuntimeException("Fail to build Parquet vectorized reader based on Hive type " + fieldTypes.get(i).getTypeName() + " and Parquet type" + types.get(i).toString());
                }
            }
            return new VectorizedStructColumnReader(fieldReaders);
        case LIST:
        case MAP:
        case UNION:
        default:
            throw new RuntimeException("Unsupported category " + typeInfo.getCategory().name());
    }
}

Example 3 with PRIMITIVE

use of org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE in project hive by apache.

the class BinarySortableDeserializeRead method readNextField.

/*
   * Reads the the next field.
   *
   * Afterwards, reading is positioned to the next field.
   *
   * @return  Return true when the field was not null and data is put in the appropriate
   *          current* member.
   *          Otherwise, false when the field is null.
   *
   */
@Override
public boolean readNextField() throws IOException {
    // We start with fieldIndex as -1 so we can increment once here and then the read
    // field data methods don't increment.
    fieldIndex++;
    if (fieldIndex >= fieldCount) {
        return false;
    }
    if (inputByteBuffer.isEof()) {
        // Also, reading beyond our byte range produces NULL.
        return false;
    }
    fieldStart = inputByteBuffer.tell();
    byte isNullByte = inputByteBuffer.read(columnSortOrderIsDesc[fieldIndex]);
    if (isNullByte == 0) {
        return false;
    }
    /*
     * We have a field and are positioned to it.  Read it.
     */
    switch(primitiveCategories[fieldIndex]) {
        case BOOLEAN:
            currentBoolean = (inputByteBuffer.read(columnSortOrderIsDesc[fieldIndex]) == 2);
            return true;
        case BYTE:
            currentByte = (byte) (inputByteBuffer.read(columnSortOrderIsDesc[fieldIndex]) ^ 0x80);
            return true;
        case SHORT:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int v = inputByteBuffer.read(invert) ^ 0x80;
                v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                currentShort = (short) v;
            }
            return true;
        case INT:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int v = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 3; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                currentInt = v;
            }
            return true;
        case LONG:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                long v = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 7; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                currentLong = v;
            }
            return true;
        case DATE:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int v = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 3; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                currentDateWritable.set(v);
            }
            return true;
        case TIMESTAMP:
            {
                if (tempTimestampBytes == null) {
                    tempTimestampBytes = new byte[TimestampWritable.BINARY_SORTABLE_LENGTH];
                }
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                for (int i = 0; i < tempTimestampBytes.length; i++) {
                    tempTimestampBytes[i] = inputByteBuffer.read(invert);
                }
                currentTimestampWritable.setBinarySortable(tempTimestampBytes, 0);
            }
            return true;
        case FLOAT:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int v = 0;
                for (int i = 0; i < 4; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                if ((v & (1 << 31)) == 0) {
                    // negative number, flip all bits
                    v = ~v;
                } else {
                    // positive number, flip the first bit
                    v = v ^ (1 << 31);
                }
                currentFloat = Float.intBitsToFloat(v);
            }
            return true;
        case DOUBLE:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                long v = 0;
                for (int i = 0; i < 8; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                if ((v & (1L << 63)) == 0) {
                    // negative number, flip all bits
                    v = ~v;
                } else {
                    // positive number, flip the first bit
                    v = v ^ (1L << 63);
                }
                currentDouble = Double.longBitsToDouble(v);
            }
            return true;
        case BINARY:
        case STRING:
        case CHAR:
        case VARCHAR:
            {
                /*
         * This code is a modified version of BinarySortableSerDe.deserializeText that lets us
         * detect if we can return a reference to the bytes directly.
         */
                // Get the actual length first
                bytesStart = inputByteBuffer.tell();
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int length = 0;
                do {
                    byte b = inputByteBuffer.read(invert);
                    if (b == 0) {
                        // end of string
                        break;
                    }
                    if (b == 1) {
                        // the last char is an escape char. read the actual char
                        inputByteBuffer.read(invert);
                    }
                    length++;
                } while (true);
                if (length == 0 || (!invert && length == inputByteBuffer.tell() - bytesStart - 1)) {
                    // No inversion or escaping happened, so we are can reference directly.
                    currentExternalBufferNeeded = false;
                    currentBytes = inputByteBuffer.getData();
                    currentBytesStart = bytesStart;
                    currentBytesLength = length;
                } else {
                    // We are now positioned at the end of this field's bytes.
                    if (useExternalBuffer) {
                        // If we decided not to reposition and re-read the buffer to copy it with
                        // copyToExternalBuffer, we we will still be correctly positioned for the next field.
                        currentExternalBufferNeeded = true;
                        currentExternalBufferNeededLen = length;
                    } else {
                        // The copyToBuffer will reposition and re-read the input buffer.
                        currentExternalBufferNeeded = false;
                        if (internalBufferLen < length) {
                            internalBufferLen = length;
                            internalBuffer = new byte[internalBufferLen];
                        }
                        copyToBuffer(internalBuffer, 0, length);
                        currentBytes = internalBuffer;
                        currentBytesStart = 0;
                        currentBytesLength = length;
                    }
                }
            }
            return true;
        case INTERVAL_YEAR_MONTH:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int v = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 3; i++) {
                    v = (v << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                currentHiveIntervalYearMonthWritable.set(v);
            }
            return true;
        case INTERVAL_DAY_TIME:
            {
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                long totalSecs = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 7; i++) {
                    totalSecs = (totalSecs << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                int nanos = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 3; i++) {
                    nanos = (nanos << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                currentHiveIntervalDayTimeWritable.set(totalSecs, nanos);
            }
            return true;
        case DECIMAL:
            {
                // Since enforcing precision and scale can cause a HiveDecimal to become NULL,
                // we must read it, enforce it here, and either return NULL or buffer the result.
                final boolean invert = columnSortOrderIsDesc[fieldIndex];
                int b = inputByteBuffer.read(invert) - 1;
                if (!(b == 1 || b == -1 || b == 0)) {
                    throw new IOException("Unexpected byte value " + (int) b + " in binary sortable format data (invert " + invert + ")");
                }
                boolean positive = b != -1;
                int factor = inputByteBuffer.read(invert) ^ 0x80;
                for (int i = 0; i < 3; i++) {
                    factor = (factor << 8) + (inputByteBuffer.read(invert) & 0xff);
                }
                if (!positive) {
                    factor = -factor;
                }
                int decimalStart = inputByteBuffer.tell();
                int length = 0;
                do {
                    b = inputByteBuffer.read(positive ? invert : !invert);
                    if (b == 1) {
                        throw new IOException("Expected -1 and found byte value " + (int) b + " in binary sortable format data (invert " + invert + ")");
                    }
                    if (b == 0) {
                        // end of digits
                        break;
                    }
                    length++;
                } while (true);
                // CONSIDER: Allocate a larger initial size.
                if (tempDecimalBuffer == null || tempDecimalBuffer.length < length) {
                    tempDecimalBuffer = new byte[length];
                }
                inputByteBuffer.seek(decimalStart);
                for (int i = 0; i < length; ++i) {
                    tempDecimalBuffer[i] = inputByteBuffer.read(positive ? invert : !invert);
                }
                // read the null byte again
                inputByteBuffer.read(positive ? invert : !invert);
                String digits = new String(tempDecimalBuffer, 0, length, StandardCharsets.UTF_8);
                // Set the value of the writable from the decimal digits that were written with no dot.
                int scale = length - factor;
                currentHiveDecimalWritable.setFromDigitsOnlyBytesWithScale(!positive, tempDecimalBuffer, 0, length, scale);
                boolean decimalIsNull = !currentHiveDecimalWritable.isSet();
                if (!decimalIsNull) {
                    // We have a decimal.  After we enforce precision and scale, will it become a NULL?
                    DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) typeInfos[fieldIndex];
                    int enforcePrecision = decimalTypeInfo.getPrecision();
                    int enforceScale = decimalTypeInfo.getScale();
                    decimalIsNull = !currentHiveDecimalWritable.mutateEnforcePrecisionScale(enforcePrecision, enforceScale);
                }
                if (decimalIsNull) {
                    return false;
                }
            }
            return true;
        default:
            throw new RuntimeException("Unexpected primitive type category " + primitiveCategories[fieldIndex]);
    }
}

Example 4 with PRIMITIVE

use of org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE in project hive by apache.

the class VerifyFast 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("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 5 with PRIMITIVE

use of org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category.PRIMITIVE in project hive by apache.

the class GenericUDTFGetSplits method convertTypeString.

private TypeDesc convertTypeString(String typeString) throws HiveException {
    TypeDesc typeDesc;
    TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(typeString);
    Preconditions.checkState(typeInfo.getCategory() == ObjectInspector.Category.PRIMITIVE, "Unsupported non-primitive type " + typeString);
    switch(((PrimitiveTypeInfo) typeInfo).getPrimitiveCategory()) {
        case BOOLEAN:
            typeDesc = new TypeDesc(TypeDesc.Type.BOOLEAN);
            break;
        case BYTE:
            typeDesc = new TypeDesc(TypeDesc.Type.TINYINT);
            break;
        case SHORT:
            typeDesc = new TypeDesc(TypeDesc.Type.SMALLINT);
            break;
        case INT:
            typeDesc = new TypeDesc(TypeDesc.Type.INT);
            break;
        case LONG:
            typeDesc = new TypeDesc(TypeDesc.Type.BIGINT);
            break;
        case FLOAT:
            typeDesc = new TypeDesc(TypeDesc.Type.FLOAT);
            break;
        case DOUBLE:
            typeDesc = new TypeDesc(TypeDesc.Type.DOUBLE);
            break;
        case STRING:
            typeDesc = new TypeDesc(TypeDesc.Type.STRING);
            break;
        case CHAR:
            CharTypeInfo charTypeInfo = (CharTypeInfo) typeInfo;
            typeDesc = new TypeDesc(TypeDesc.Type.CHAR, charTypeInfo.getLength());
            break;
        case VARCHAR:
            VarcharTypeInfo varcharTypeInfo = (VarcharTypeInfo) typeInfo;
            typeDesc = new TypeDesc(TypeDesc.Type.VARCHAR, varcharTypeInfo.getLength());
            break;
        case DATE:
            typeDesc = new TypeDesc(TypeDesc.Type.DATE);
            break;
        case TIMESTAMP:
            typeDesc = new TypeDesc(TypeDesc.Type.TIMESTAMP);
            break;
        case BINARY:
            typeDesc = new TypeDesc(TypeDesc.Type.BINARY);
            break;
        case DECIMAL:
            DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) typeInfo;
            typeDesc = new TypeDesc(TypeDesc.Type.DECIMAL, decimalTypeInfo.getPrecision(), decimalTypeInfo.getScale());
            break;
        default:
            throw new HiveException("Unsupported type " + typeString);
    }
    return typeDesc;
}