Examples with HiveVarchar org.apache.hadoop.hive.common.type.HiveVarchar used on opensource projects

Example 6 with HiveVarchar

use of org.apache.hadoop.hive.common.type.HiveVarchar in project presto by prestodb.

the class TestHiveFileFormats method testTruncateVarcharColumn.

@Test
public void testTruncateVarcharColumn() throws Exception {
    TestColumn writeColumn = new TestColumn("varchar_column", getPrimitiveJavaObjectInspector(new VarcharTypeInfo(4)), new HiveVarchar("test", 4), utf8Slice("test"));
    TestColumn readColumn = new TestColumn("varchar_column", getPrimitiveJavaObjectInspector(new VarcharTypeInfo(3)), new HiveVarchar("tes", 3), utf8Slice("tes"));
    assertThatFileFormat(RCTEXT).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByPageSource(new RcFilePageSourceFactory(FUNCTION_AND_TYPE_MANAGER, HDFS_ENVIRONMENT, STATS)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT));
    assertThatFileFormat(RCBINARY).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByPageSource(new RcFilePageSourceFactory(FUNCTION_AND_TYPE_MANAGER, HDFS_ENVIRONMENT, STATS)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT));
    assertThatFileFormat(ORC).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByPageSource(new OrcBatchPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, false, HDFS_ENVIRONMENT, STATS, 100, new StorageOrcFileTailSource(), StripeMetadataSourceFactory.of(new StorageStripeMetadataSource())));
    assertThatFileFormat(PARQUET).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).withSession(parquetPageSourceSession).isReadableByPageSource(new ParquetPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, HDFS_ENVIRONMENT, STATS, METADATA_READER));
    assertThatFileFormat(AVRO).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT));
    assertThatFileFormat(SEQUENCEFILE).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT));
    assertThatFileFormat(TEXTFILE).withWriteColumns(ImmutableList.of(writeColumn)).withReadColumns(ImmutableList.of(readColumn)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT));
}

Example 7 with HiveVarchar

use of org.apache.hadoop.hive.common.type.HiveVarchar in project flink by apache.

the class HiveParserRexNodeConverter method convertConstant.

public static RexNode convertConstant(ExprNodeConstantDesc literal, RelOptCluster cluster) throws SemanticException {
    RexBuilder rexBuilder = cluster.getRexBuilder();
    RelDataTypeFactory dtFactory = rexBuilder.getTypeFactory();
    PrimitiveTypeInfo hiveType = (PrimitiveTypeInfo) literal.getTypeInfo();
    RelDataType calciteDataType = HiveParserTypeConverter.convert(hiveType, dtFactory);
    PrimitiveObjectInspector.PrimitiveCategory hiveTypeCategory = hiveType.getPrimitiveCategory();
    ConstantObjectInspector coi = literal.getWritableObjectInspector();
    Object value = ObjectInspectorUtils.copyToStandardJavaObject(coi.getWritableConstantValue(), coi);
    RexNode calciteLiteral;
    HiveShim hiveShim = HiveParserUtils.getSessionHiveShim();
    // If value is null, the type should also be VOID.
    if (value == null) {
        hiveTypeCategory = PrimitiveObjectInspector.PrimitiveCategory.VOID;
    }
    // TODO: Verify if we need to use ConstantObjectInspector to unwrap data
    switch(hiveTypeCategory) {
        case BOOLEAN:
            calciteLiteral = rexBuilder.makeLiteral((Boolean) value);
            break;
        case BYTE:
            calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Byte) value), calciteDataType);
            break;
        case SHORT:
            calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Short) value), calciteDataType);
            break;
        case INT:
            calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Integer) value));
            break;
        case LONG:
            calciteLiteral = rexBuilder.makeBigintLiteral(new BigDecimal((Long) value));
            break;
        // TODO: is Decimal an exact numeric or approximate numeric?
        case DECIMAL:
            if (value instanceof HiveDecimal) {
                value = ((HiveDecimal) value).bigDecimalValue();
            } else if (value instanceof Decimal128) {
                value = ((Decimal128) value).toBigDecimal();
            }
            if (value == null) {
                // For now, we will not run CBO in the presence of invalid decimal literals.
                throw new SemanticException("Expression " + literal.getExprString() + " is not a valid decimal");
            // TODO: return createNullLiteral(literal);
            }
            BigDecimal bd = (BigDecimal) value;
            BigInteger unscaled = bd.unscaledValue();
            if (unscaled.compareTo(MIN_LONG_BI) >= 0 && unscaled.compareTo(MAX_LONG_BI) <= 0) {
                calciteLiteral = rexBuilder.makeExactLiteral(bd);
            } else {
                // CBO doesn't support unlimited precision decimals. In practice, this
                // will work...
                // An alternative would be to throw CboSemanticException and fall back
                // to no CBO.
                RelDataType relType = cluster.getTypeFactory().createSqlType(SqlTypeName.DECIMAL, unscaled.toString().length(), bd.scale());
                calciteLiteral = rexBuilder.makeExactLiteral(bd, relType);
            }
            break;
        case FLOAT:
            calciteLiteral = rexBuilder.makeApproxLiteral(new BigDecimal(Float.toString((Float) value)), calciteDataType);
            break;
        case DOUBLE:
            // TODO: The best solution is to support NaN in expression reduction.
            if (Double.isNaN((Double) value)) {
                throw new SemanticException("NaN");
            }
            calciteLiteral = rexBuilder.makeApproxLiteral(new BigDecimal(Double.toString((Double) value)), calciteDataType);
            break;
        case CHAR:
            if (value instanceof HiveChar) {
                value = ((HiveChar) value).getValue();
            }
            calciteLiteral = rexBuilder.makeCharLiteral(asUnicodeString((String) value));
            break;
        case VARCHAR:
            if (value instanceof HiveVarchar) {
                value = ((HiveVarchar) value).getValue();
            }
            calciteLiteral = rexBuilder.makeCharLiteral(asUnicodeString((String) value));
            break;
        case STRING:
            Object constantDescVal = literal.getValue();
            constantDescVal = constantDescVal instanceof NlsString ? constantDescVal : asUnicodeString((String) value);
            // calcite treat string literal as char type, we should treat it as string just like
            // hive
            RelDataType type = HiveParserTypeConverter.convert(hiveType, dtFactory);
            // if we get here, the value is not null
            type = dtFactory.createTypeWithNullability(type, false);
            calciteLiteral = rexBuilder.makeLiteral(constantDescVal, type, true);
            break;
        case DATE:
            LocalDate localDate = HiveParserUtils.getSessionHiveShim().toFlinkDate(value);
            DateString dateString = new DateString(localDate.getYear(), localDate.getMonthValue(), localDate.getDayOfMonth());
            calciteLiteral = rexBuilder.makeDateLiteral(dateString);
            break;
        case TIMESTAMP:
            TimestampString timestampString;
            if (value instanceof Calendar) {
                timestampString = TimestampString.fromCalendarFields((Calendar) value);
            } else {
                LocalDateTime localDateTime = HiveParserUtils.getSessionHiveShim().toFlinkTimestamp(value);
                timestampString = new TimestampString(localDateTime.getYear(), localDateTime.getMonthValue(), localDateTime.getDayOfMonth(), localDateTime.getHour(), localDateTime.getMinute(), localDateTime.getSecond());
                timestampString = timestampString.withNanos(localDateTime.getNano());
            }
            // hive always treats timestamp with precision 9
            calciteLiteral = rexBuilder.makeTimestampLiteral(timestampString, 9);
            break;
        case VOID:
            calciteLiteral = cluster.getRexBuilder().makeLiteral(null, dtFactory.createSqlType(SqlTypeName.NULL), true);
            break;
        case BINARY:
        case UNKNOWN:
        default:
            if (hiveShim.isIntervalYearMonthType(hiveTypeCategory)) {
                // Calcite year-month literal value is months as BigDecimal
                BigDecimal totalMonths = BigDecimal.valueOf(((HiveParserIntervalYearMonth) value).getTotalMonths());
                calciteLiteral = rexBuilder.makeIntervalLiteral(totalMonths, new SqlIntervalQualifier(TimeUnit.YEAR, TimeUnit.MONTH, new SqlParserPos(1, 1)));
            } else if (hiveShim.isIntervalDayTimeType(hiveTypeCategory)) {
                // Calcite day-time interval is millis value as BigDecimal
                // Seconds converted to millis
                BigDecimal secsValueBd = BigDecimal.valueOf(((HiveParserIntervalDayTime) value).getTotalSeconds() * 1000);
                // Nanos converted to millis
                BigDecimal nanosValueBd = BigDecimal.valueOf(((HiveParserIntervalDayTime) value).getNanos(), 6);
                calciteLiteral = rexBuilder.makeIntervalLiteral(secsValueBd.add(nanosValueBd), new SqlIntervalQualifier(TimeUnit.MILLISECOND, null, new SqlParserPos(1, 1)));
            } else {
                throw new RuntimeException("UnSupported Literal type " + hiveTypeCategory);
            }
    }
    return calciteLiteral;
}

Example 8 with HiveVarchar

use of org.apache.hadoop.hive.common.type.HiveVarchar in project hive by apache.

the class VectorizationContext method castConstantToLong.

private Long castConstantToLong(Object scalar, TypeInfo type, PrimitiveCategory integerPrimitiveCategory) throws HiveException {
    if (null == scalar) {
        return null;
    }
    PrimitiveTypeInfo ptinfo = (PrimitiveTypeInfo) type;
    PrimitiveCategory primitiveCategory = ptinfo.getPrimitiveCategory();
    switch(primitiveCategory) {
        case FLOAT:
        case DOUBLE:
        case BYTE:
        case SHORT:
        case INT:
        case LONG:
            return ((Number) scalar).longValue();
        case STRING:
        case CHAR:
        case VARCHAR:
            {
                final long longValue;
                if (primitiveCategory == PrimitiveCategory.STRING) {
                    longValue = Long.valueOf((String) scalar);
                } else if (primitiveCategory == PrimitiveCategory.CHAR) {
                    longValue = Long.valueOf(((HiveChar) scalar).getStrippedValue());
                } else {
                    longValue = Long.valueOf(((HiveVarchar) scalar).getValue());
                }
                switch(integerPrimitiveCategory) {
                    case BYTE:
                        if (longValue != ((byte) longValue)) {
                            // Accurate byte value cannot be obtained.
                            return null;
                        }
                        break;
                    case SHORT:
                        if (longValue != ((short) longValue)) {
                            // Accurate short value cannot be obtained.
                            return null;
                        }
                        break;
                    case INT:
                        if (longValue != ((int) longValue)) {
                            // Accurate int value cannot be obtained.
                            return null;
                        }
                        break;
                    case LONG:
                        // No range check needed.
                        break;
                    default:
                        throw new RuntimeException("Unexpected integer primitive type " + integerPrimitiveCategory);
                }
                return longValue;
            }
        case DECIMAL:
            HiveDecimal decimalVal = (HiveDecimal) scalar;
            switch(integerPrimitiveCategory) {
                case BYTE:
                    if (!decimalVal.isByte()) {
                        // Accurate byte value cannot be obtained.
                        return null;
                    }
                    break;
                case SHORT:
                    if (!decimalVal.isShort()) {
                        // Accurate short value cannot be obtained.
                        return null;
                    }
                    break;
                case INT:
                    if (!decimalVal.isInt()) {
                        // Accurate int value cannot be obtained.
                        return null;
                    }
                    break;
                case LONG:
                    if (!decimalVal.isLong()) {
                        // Accurate long value cannot be obtained.
                        return null;
                    }
                    break;
                default:
                    throw new RuntimeException("Unexpected integer primitive type " + integerPrimitiveCategory);
            }
            // We only store longs in our LongColumnVector.
            return decimalVal.longValue();
        default:
            throw new HiveException("Unsupported primitive category " + primitiveCategory + " for cast to LONG");
    }
}

Example 9 with HiveVarchar

use of org.apache.hadoop.hive.common.type.HiveVarchar 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;
}

Example 10 with HiveVarchar

use of org.apache.hadoop.hive.common.type.HiveVarchar in project hive by apache.

the class VectorAssignRow method assignConvertRowColumn.

private void assignConvertRowColumn(ColumnVector columnVector, int batchIndex, TypeInfo targetTypeInfo, ObjectInspector sourceObjectInspector, Writable convertTargetWritable, Object object) {
    final Category targetCategory = targetTypeInfo.getCategory();
    if (targetCategory == null) {
        /*
       * This is a column that we don't want (i.e. not included) -- we are done.
       */
        return;
    }
    if (object == null) {
        VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
        return;
    }
    try {
        switch(targetCategory) {
            case PRIMITIVE:
                final PrimitiveObjectInspector sourcePrimitiveOI = (PrimitiveObjectInspector) sourceObjectInspector;
                final PrimitiveCategory targetPrimitiveCategory = ((PrimitiveTypeInfo) targetTypeInfo).getPrimitiveCategory();
                switch(targetPrimitiveCategory) {
                    case VOID:
                        VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                        return;
                    case BOOLEAN:
                        ((LongColumnVector) columnVector).vector[batchIndex] = (PrimitiveObjectInspectorUtils.getBoolean(object, sourcePrimitiveOI) ? 1 : 0);
                        break;
                    case BYTE:
                        ((LongColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getByte(object, sourcePrimitiveOI);
                        break;
                    case SHORT:
                        ((LongColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getShort(object, sourcePrimitiveOI);
                        break;
                    case INT:
                        ((LongColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getInt(object, sourcePrimitiveOI);
                        break;
                    case LONG:
                        ((LongColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getLong(object, sourcePrimitiveOI);
                        break;
                    case TIMESTAMP:
                        {
                            final Timestamp timestamp = PrimitiveObjectInspectorUtils.getTimestamp(object, sourcePrimitiveOI);
                            if (timestamp == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            ((TimestampColumnVector) columnVector).set(batchIndex, timestamp.toSqlTimestamp());
                        }
                        break;
                    case DATE:
                        {
                            final Date date = PrimitiveObjectInspectorUtils.getDate(object, sourcePrimitiveOI);
                            if (date == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            DateWritableV2 dateWritable = (DateWritableV2) convertTargetWritable;
                            if (dateWritable == null) {
                                dateWritable = new DateWritableV2();
                            }
                            dateWritable.set(date);
                            ((LongColumnVector) columnVector).vector[batchIndex] = dateWritable.getDays();
                        }
                        break;
                    case FLOAT:
                        ((DoubleColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getFloat(object, sourcePrimitiveOI);
                        break;
                    case DOUBLE:
                        ((DoubleColumnVector) columnVector).vector[batchIndex] = PrimitiveObjectInspectorUtils.getDouble(object, sourcePrimitiveOI);
                        break;
                    case BINARY:
                        {
                            final BytesWritable bytesWritable = PrimitiveObjectInspectorUtils.getBinary(object, sourcePrimitiveOI);
                            if (bytesWritable == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            ((BytesColumnVector) columnVector).setVal(batchIndex, bytesWritable.getBytes(), 0, bytesWritable.getLength());
                        }
                        break;
                    case STRING:
                        {
                            final String string = PrimitiveObjectInspectorUtils.getString(object, sourcePrimitiveOI);
                            if (string == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            Text text = (Text) convertTargetWritable;
                            if (text == null) {
                                text = new Text();
                            }
                            text.set(string);
                            ((BytesColumnVector) columnVector).setVal(batchIndex, text.getBytes(), 0, text.getLength());
                        }
                        break;
                    case VARCHAR:
                        {
                            // UNDONE: Performance problem with conversion to String, then bytes...
                            final HiveVarchar hiveVarchar = PrimitiveObjectInspectorUtils.getHiveVarchar(object, sourcePrimitiveOI);
                            if (hiveVarchar == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            // TODO: 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...
                            final HiveChar hiveChar = PrimitiveObjectInspectorUtils.getHiveChar(object, sourcePrimitiveOI);
                            if (hiveChar == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            // We store CHAR in vector row batch with padding stripped.
                            // TODO: Do we need maxLength checking?
                            final byte[] bytes = hiveChar.getStrippedValue().getBytes();
                            ((BytesColumnVector) columnVector).setVal(batchIndex, bytes, 0, bytes.length);
                        }
                        break;
                    case DECIMAL:
                        {
                            final HiveDecimal hiveDecimal = PrimitiveObjectInspectorUtils.getHiveDecimal(object, sourcePrimitiveOI);
                            if (hiveDecimal == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            if (columnVector instanceof Decimal64ColumnVector) {
                                Decimal64ColumnVector dec64ColVector = (Decimal64ColumnVector) columnVector;
                                dec64ColVector.set(batchIndex, hiveDecimal);
                                if (dec64ColVector.isNull[batchIndex]) {
                                    return;
                                }
                            } else {
                                ((DecimalColumnVector) columnVector).set(batchIndex, hiveDecimal);
                            }
                        }
                        break;
                    case INTERVAL_YEAR_MONTH:
                        {
                            final HiveIntervalYearMonth intervalYearMonth = PrimitiveObjectInspectorUtils.getHiveIntervalYearMonth(object, sourcePrimitiveOI);
                            if (intervalYearMonth == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            ((LongColumnVector) columnVector).vector[batchIndex] = intervalYearMonth.getTotalMonths();
                        }
                        break;
                    case INTERVAL_DAY_TIME:
                        {
                            final HiveIntervalDayTime intervalDayTime = PrimitiveObjectInspectorUtils.getHiveIntervalDayTime(object, sourcePrimitiveOI);
                            if (intervalDayTime == null) {
                                VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
                                return;
                            }
                            ((IntervalDayTimeColumnVector) columnVector).set(batchIndex, intervalDayTime);
                        }
                        break;
                    default:
                        throw new RuntimeException("Primitive category " + targetPrimitiveCategory.name() + " not supported");
                }
                break;
            case LIST:
                {
                    final ListColumnVector listColumnVector = (ListColumnVector) columnVector;
                    final ListObjectInspector sourceListOI = (ListObjectInspector) sourceObjectInspector;
                    final ObjectInspector sourceElementOI = sourceListOI.getListElementObjectInspector();
                    final int size = sourceListOI.getListLength(object);
                    final TypeInfo targetElementTypeInfo = ((ListTypeInfo) targetTypeInfo).getListElementTypeInfo();
                    listColumnVector.offsets[batchIndex] = listColumnVector.childCount;
                    listColumnVector.childCount += size;
                    listColumnVector.ensureSize(listColumnVector.childCount, true);
                    listColumnVector.lengths[batchIndex] = size;
                    for (int i = 0; i < size; i++) {
                        final Object element = sourceListOI.getListElement(object, i);
                        final int offset = (int) (listColumnVector.offsets[batchIndex] + i);
                        assignConvertRowColumn(listColumnVector.child, offset, targetElementTypeInfo, sourceElementOI, null, element);
                    }
                }
                break;
            case MAP:
                {
                    final MapColumnVector mapColumnVector = (MapColumnVector) columnVector;
                    final MapObjectInspector mapObjectInspector = (MapObjectInspector) sourceObjectInspector;
                    final MapTypeInfo mapTypeInfo = (MapTypeInfo) targetTypeInfo;
                    final Map<?, ?> map = mapObjectInspector.getMap(object);
                    for (Map.Entry<?, ?> entry : map.entrySet()) {
                        assignConvertRowColumn(mapColumnVector.keys, batchIndex, mapTypeInfo.getMapKeyTypeInfo(), mapObjectInspector.getMapKeyObjectInspector(), null, entry.getKey());
                        assignConvertRowColumn(mapColumnVector.values, batchIndex, mapTypeInfo.getMapValueTypeInfo(), mapObjectInspector.getMapValueObjectInspector(), null, entry.getValue());
                    }
                }
                break;
            case STRUCT:
                {
                    final StructColumnVector structColumnVector = (StructColumnVector) columnVector;
                    final StructObjectInspector sourceStructOI = (StructObjectInspector) sourceObjectInspector;
                    final List<? extends StructField> sourceFields = sourceStructOI.getAllStructFieldRefs();
                    final StructTypeInfo targetStructTypeInfo = (StructTypeInfo) targetTypeInfo;
                    final List<TypeInfo> targetTypeInfos = targetStructTypeInfo.getAllStructFieldTypeInfos();
                    final int size = targetTypeInfos.size();
                    for (int i = 0; i < size; i++) {
                        if (i < sourceFields.size()) {
                            final StructField sourceStructField = sourceFields.get(i);
                            final ObjectInspector sourceFieldOI = sourceStructField.getFieldObjectInspector();
                            final Object sourceData = sourceStructOI.getStructFieldData(object, sourceStructField);
                            assignConvertRowColumn(structColumnVector.fields[i], batchIndex, targetTypeInfos.get(i), sourceFieldOI, null, sourceData);
                        } else {
                            final ColumnVector fieldColumnVector = structColumnVector.fields[i];
                            VectorizedBatchUtil.setNullColIsNullValue(fieldColumnVector, batchIndex);
                        }
                    }
                }
                break;
            case UNION:
                {
                    final UnionColumnVector unionColumnVector = (UnionColumnVector) columnVector;
                    final UnionObjectInspector unionObjectInspector = (UnionObjectInspector) sourceObjectInspector;
                    final UnionTypeInfo unionTypeInfo = (UnionTypeInfo) targetTypeInfo;
                    final int tag = unionObjectInspector.getTag(object);
                    assignConvertRowColumn(unionColumnVector.fields[tag], batchIndex, unionTypeInfo.getAllUnionObjectTypeInfos().get(tag), unionObjectInspector.getObjectInspectors().get(tag), null, unionObjectInspector.getField(tag));
                }
                break;
            default:
                throw new RuntimeException("Category " + targetCategory.name() + " not supported");
        }
    } catch (NumberFormatException e) {
        // Some of the conversion methods throw this exception on numeric parsing errors.
        VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
        return;
    }
    // We always set the null flag to false when there is a value.
    columnVector.isNull[batchIndex] = false;
}