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Example 16 with HiveIntervalDayTime

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

the class VectorAssignRow method assignRowColumn.

private void assignRowColumn(ColumnVector columnVector, int batchIndex, TypeInfo targetTypeInfo, Object object) {
    if (object == null) {
        VectorizedBatchUtil.setNullColIsNullValue(columnVector, batchIndex);
        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));
                        } else {
                            ((TimestampColumnVector) columnVector).set(batchIndex, ((TimestampWritable) object).getTimestamp());
                        }
                        break;
                    case DATE:
                        if (object instanceof Date) {
                            ((LongColumnVector) columnVector).vector[batchIndex] = DateWritable.dateToDays((Date) object);
                        } else {
                            ((LongColumnVector) columnVector).vector[batchIndex] = ((DateWritable) 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 (object instanceof HiveDecimal) {
                            ((DecimalColumnVector) columnVector).set(batchIndex, (HiveDecimal) object);
                        } else {
                            ((DecimalColumnVector) 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;
}
Also used : HiveChar(org.apache.hadoop.hive.common.type.HiveChar) TimestampWritable(org.apache.hadoop.hive.serde2.io.TimestampWritable) DoubleWritable(org.apache.hadoop.hive.serde2.io.DoubleWritable) StructTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo) ShortWritable(org.apache.hadoop.hive.serde2.io.ShortWritable) Timestamp(java.sql.Timestamp) HiveDecimal(org.apache.hadoop.hive.common.type.HiveDecimal) List(java.util.List) LongWritable(org.apache.hadoop.io.LongWritable) PrimitiveCategory(org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory) ByteWritable(org.apache.hadoop.hive.serde2.io.ByteWritable) IntWritable(org.apache.hadoop.io.IntWritable) HiveIntervalDayTime(org.apache.hadoop.hive.common.type.HiveIntervalDayTime) DateWritable(org.apache.hadoop.hive.serde2.io.DateWritable) HiveDecimalWritable(org.apache.hadoop.hive.serde2.io.HiveDecimalWritable) BytesWritable(org.apache.hadoop.io.BytesWritable) Text(org.apache.hadoop.io.Text) HiveIntervalDayTimeWritable(org.apache.hadoop.hive.serde2.io.HiveIntervalDayTimeWritable) HiveVarchar(org.apache.hadoop.hive.common.type.HiveVarchar) MapTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo) StructTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo) PrimitiveTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo) VarcharTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo) ListTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo) TypeInfo(org.apache.hadoop.hive.serde2.typeinfo.TypeInfo) UnionTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo) CharTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo) Date(java.sql.Date) FloatWritable(org.apache.hadoop.io.FloatWritable) HiveIntervalYearMonth(org.apache.hadoop.hive.common.type.HiveIntervalYearMonth) BooleanWritable(org.apache.hadoop.io.BooleanWritable) ListTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo) MapTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo) StandardUnion(org.apache.hadoop.hive.serde2.objectinspector.StandardUnionObjectInspector.StandardUnion) Map(java.util.Map) UnionTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo)

Example 17 with HiveIntervalDayTime

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

the class CastStringToIntervalDayTime method evaluate.

private void evaluate(IntervalDayTimeColumnVector outputColVector, BytesColumnVector inputColVector, int i) {
    try {
        HiveIntervalDayTime interval = HiveIntervalDayTime.valueOf(new String(inputColVector.vector[i], inputColVector.start[i], inputColVector.length[i], "UTF-8"));
        outputColVector.set(i, interval);
    } catch (Exception e) {
        outputColVector.setNullValue(i);
        outputColVector.isNull[i] = true;
        outputColVector.noNulls = false;
    }
}
Also used : HiveIntervalDayTime(org.apache.hadoop.hive.common.type.HiveIntervalDayTime)

Example 18 with HiveIntervalDayTime

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

the class DateColSubtractDateColumn method evaluate.

@Override
public void evaluate(VectorizedRowBatch batch) {
    if (childExpressions != null) {
        super.evaluateChildren(batch);
    }
    // Input #1 is type date (epochDays).
    LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
    // Input #2 is type date (epochDays).
    LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
    // Output is type interval_day_time.
    IntervalDayTimeColumnVector outputColVector = (IntervalDayTimeColumnVector) batch.cols[outputColumnNum];
    int[] sel = batch.selected;
    int n = batch.size;
    long[] vector1 = inputColVector1.vector;
    long[] vector2 = inputColVector2.vector;
    // return immediately if batch is empty
    if (n == 0) {
        return;
    }
    /*
     * Propagate null values for a two-input operator and set isRepeating and noNulls appropriately.
     */
    NullUtil.propagateNullsColCol(inputColVector1, inputColVector2, outputColVector, sel, n, batch.selectedInUse);
    HiveIntervalDayTime resultIntervalDayTime = outputColVector.getScratchIntervalDayTime();
    /* Disregard nulls for processing. In other words,
     * the arithmetic operation is performed even if one or
     * more inputs are null. This is to improve speed by avoiding
     * conditional checks in the inner loop.
     */
    if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
        scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[0]));
        scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[0]));
        dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
        outputColVector.setFromScratchIntervalDayTime(0);
    } else if (inputColVector1.isRepeating) {
        scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[0]));
        if (batch.selectedInUse) {
            for (int j = 0; j != n; j++) {
                int i = sel[j];
                scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        } else {
            for (int i = 0; i != n; i++) {
                scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        }
    } else if (inputColVector2.isRepeating) {
        scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[0]));
        if (batch.selectedInUse) {
            for (int j = 0; j != n; j++) {
                int i = sel[j];
                scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        } else {
            for (int i = 0; i != n; i++) {
                scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        }
    } else {
        if (batch.selectedInUse) {
            for (int j = 0; j != n; j++) {
                int i = sel[j];
                scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[i]));
                scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        } else {
            for (int i = 0; i != n; i++) {
                scratchTimestamp1.setTime(DateWritable.daysToMillis((int) vector1[i]));
                scratchTimestamp2.setTime(DateWritable.daysToMillis((int) vector2[i]));
                dtm.subtract(scratchTimestamp1, scratchTimestamp2, outputColVector.getScratchIntervalDayTime());
                outputColVector.setFromScratchIntervalDayTime(i);
            }
        }
    }
    /* For the case when the output can have null values, follow
     * the convention that the data values must be 1 for long and
     * NaN for double. This is to prevent possible later zero-divide errors
     * in complex arithmetic expressions like col2 / (col1 - 1)
     * in the case when some col1 entries are null.
     */
    NullUtil.setNullDataEntriesIntervalDayTime(outputColVector, batch.selectedInUse, sel, n);
}
Also used : HiveIntervalDayTime(org.apache.hadoop.hive.common.type.HiveIntervalDayTime)

Example 19 with HiveIntervalDayTime

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

the class VerifyFastRow method doVerifyDeserializeRead.

public static void doVerifyDeserializeRead(DeserializeRead deserializeRead, TypeInfo typeInfo, Object object, boolean isNull) throws IOException {
    if (isNull) {
        if (object != null) {
            TestCase.fail("Field reports null but object is not null (class " + object.getClass().getName() + ", " + object.toString() + ")");
        }
        return;
    } else if (object == null) {
        TestCase.fail("Field report not null but object is null");
    }
    switch(typeInfo.getCategory()) {
        case PRIMITIVE:
            {
                PrimitiveTypeInfo primitiveTypeInfo = (PrimitiveTypeInfo) typeInfo;
                switch(primitiveTypeInfo.getPrimitiveCategory()) {
                    case BOOLEAN:
                        {
                            boolean value = deserializeRead.currentBoolean;
                            if (!(object instanceof BooleanWritable)) {
                                TestCase.fail("Boolean expected writable not Boolean");
                            }
                            boolean expected = ((BooleanWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Boolean field mismatch (expected " + expected + " found " + value + ")");
                            }
                        }
                        break;
                    case BYTE:
                        {
                            byte value = deserializeRead.currentByte;
                            if (!(object instanceof ByteWritable)) {
                                TestCase.fail("Byte expected writable not Byte");
                            }
                            byte expected = ((ByteWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Byte field mismatch (expected " + (int) expected + " found " + (int) value + ")");
                            }
                        }
                        break;
                    case SHORT:
                        {
                            short value = deserializeRead.currentShort;
                            if (!(object instanceof ShortWritable)) {
                                TestCase.fail("Short expected writable not Short");
                            }
                            short expected = ((ShortWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Short field mismatch (expected " + expected + " found " + value + ")");
                            }
                        }
                        break;
                    case INT:
                        {
                            int value = deserializeRead.currentInt;
                            if (!(object instanceof IntWritable)) {
                                TestCase.fail("Integer expected writable not Integer");
                            }
                            int expected = ((IntWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Int field mismatch (expected " + expected + " found " + value + ")");
                            }
                        }
                        break;
                    case LONG:
                        {
                            long value = deserializeRead.currentLong;
                            if (!(object instanceof LongWritable)) {
                                TestCase.fail("Long expected writable not Long");
                            }
                            Long expected = ((LongWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Long field mismatch (expected " + expected + " found " + value + ")");
                            }
                        }
                        break;
                    case FLOAT:
                        {
                            float value = deserializeRead.currentFloat;
                            if (!(object instanceof FloatWritable)) {
                                TestCase.fail("Float expected writable not Float");
                            }
                            float expected = ((FloatWritable) object).get();
                            if (value != expected) {
                                TestCase.fail("Float field mismatch (expected " + expected + " found " + value + ")");
                            }
                        }
                        break;
                    case DOUBLE:
                        {
                            double value = deserializeRead.currentDouble;
                            if (!(object instanceof DoubleWritable)) {
                                TestCase.fail("Double expected writable not Double");
                            }
                            double expected = ((DoubleWritable) object).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) object).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) object).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) object).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) object).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) object).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) object).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) object).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) object).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) object;
                            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());
                }
            }
            break;
        case LIST:
        case MAP:
        case STRUCT:
        case UNION:
            throw new Error("Complex types need to be handled separately");
        default:
            throw new Error("Unknown category " + typeInfo.getCategory());
    }
}
Also used : HiveChar(org.apache.hadoop.hive.common.type.HiveChar) TimestampWritable(org.apache.hadoop.hive.serde2.io.TimestampWritable) DoubleWritable(org.apache.hadoop.hive.serde2.io.DoubleWritable) ShortWritable(org.apache.hadoop.hive.serde2.io.ShortWritable) Timestamp(java.sql.Timestamp) PrimitiveTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo) HiveDecimal(org.apache.hadoop.hive.common.type.HiveDecimal) LongWritable(org.apache.hadoop.io.LongWritable) ByteWritable(org.apache.hadoop.hive.serde2.io.ByteWritable) IntWritable(org.apache.hadoop.io.IntWritable) HiveIntervalDayTime(org.apache.hadoop.hive.common.type.HiveIntervalDayTime) HiveDecimalWritable(org.apache.hadoop.hive.serde2.io.HiveDecimalWritable) DateWritable(org.apache.hadoop.hive.serde2.io.DateWritable) HiveCharWritable(org.apache.hadoop.hive.serde2.io.HiveCharWritable) HiveVarcharWritable(org.apache.hadoop.hive.serde2.io.HiveVarcharWritable) Text(org.apache.hadoop.io.Text) HiveIntervalDayTimeWritable(org.apache.hadoop.hive.serde2.io.HiveIntervalDayTimeWritable) BytesWritable(org.apache.hadoop.io.BytesWritable) HiveVarchar(org.apache.hadoop.hive.common.type.HiveVarchar) HiveIntervalYearMonthWritable(org.apache.hadoop.hive.serde2.io.HiveIntervalYearMonthWritable) Date(java.sql.Date) DecimalTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo) FloatWritable(org.apache.hadoop.io.FloatWritable) HiveIntervalYearMonth(org.apache.hadoop.hive.common.type.HiveIntervalYearMonth) BooleanWritable(org.apache.hadoop.io.BooleanWritable)

Example 20 with HiveIntervalDayTime

use of org.apache.hadoop.hive.common.type.HiveIntervalDayTime 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());
    }
}
Also used : StandardUnionObjectInspector(org.apache.hadoop.hive.serde2.objectinspector.StandardUnionObjectInspector) HashMap(java.util.HashMap) HiveChar(org.apache.hadoop.hive.common.type.HiveChar) ArrayList(java.util.ArrayList) TimestampWritable(org.apache.hadoop.hive.serde2.io.TimestampWritable) DoubleWritable(org.apache.hadoop.hive.serde2.io.DoubleWritable) StructTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo) ShortWritable(org.apache.hadoop.hive.serde2.io.ShortWritable) Timestamp(java.sql.Timestamp) PrimitiveTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo) HiveDecimal(org.apache.hadoop.hive.common.type.HiveDecimal) ArrayList(java.util.ArrayList) List(java.util.List) LongWritable(org.apache.hadoop.io.LongWritable) ByteWritable(org.apache.hadoop.hive.serde2.io.ByteWritable) IntWritable(org.apache.hadoop.io.IntWritable) HiveIntervalDayTime(org.apache.hadoop.hive.common.type.HiveIntervalDayTime) HiveDecimalWritable(org.apache.hadoop.hive.serde2.io.HiveDecimalWritable) DateWritable(org.apache.hadoop.hive.serde2.io.DateWritable) HiveCharWritable(org.apache.hadoop.hive.serde2.io.HiveCharWritable) HiveVarcharWritable(org.apache.hadoop.hive.serde2.io.HiveVarcharWritable) Text(org.apache.hadoop.io.Text) HiveIntervalDayTimeWritable(org.apache.hadoop.hive.serde2.io.HiveIntervalDayTimeWritable) BytesWritable(org.apache.hadoop.io.BytesWritable) HiveVarchar(org.apache.hadoop.hive.common.type.HiveVarchar) HiveIntervalYearMonthWritable(org.apache.hadoop.hive.serde2.io.HiveIntervalYearMonthWritable) MapTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo) ListTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo) StructTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo) PrimitiveTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo) DecimalTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo) TypeInfo(org.apache.hadoop.hive.serde2.typeinfo.TypeInfo) UnionTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo) VarcharTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo) CharTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo) Date(java.sql.Date) DecimalTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo) FloatWritable(org.apache.hadoop.io.FloatWritable) HiveIntervalYearMonth(org.apache.hadoop.hive.common.type.HiveIntervalYearMonth) BooleanWritable(org.apache.hadoop.io.BooleanWritable) ListTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo) MapTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo) UnionTypeInfo(org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo)

Aggregations

HiveIntervalDayTime (org.apache.hadoop.hive.common.type.HiveIntervalDayTime)35 Timestamp (java.sql.Timestamp)18 HiveIntervalYearMonth (org.apache.hadoop.hive.common.type.HiveIntervalYearMonth)18 HiveChar (org.apache.hadoop.hive.common.type.HiveChar)14 HiveDecimal (org.apache.hadoop.hive.common.type.HiveDecimal)14 HiveVarchar (org.apache.hadoop.hive.common.type.HiveVarchar)14 BytesWritable (org.apache.hadoop.io.BytesWritable)14 Text (org.apache.hadoop.io.Text)14 Date (java.sql.Date)12 ByteWritable (org.apache.hadoop.hive.serde2.io.ByteWritable)12 ShortWritable (org.apache.hadoop.hive.serde2.io.ShortWritable)12 DateWritable (org.apache.hadoop.hive.serde2.io.DateWritable)11 DoubleWritable (org.apache.hadoop.hive.serde2.io.DoubleWritable)11 FloatWritable (org.apache.hadoop.io.FloatWritable)11 IntWritable (org.apache.hadoop.io.IntWritable)11 LongWritable (org.apache.hadoop.io.LongWritable)11 HiveDecimalWritable (org.apache.hadoop.hive.serde2.io.HiveDecimalWritable)10 TimestampWritable (org.apache.hadoop.hive.serde2.io.TimestampWritable)10 PrimitiveTypeInfo (org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo)10 BooleanWritable (org.apache.hadoop.io.BooleanWritable)10