use of java.sql.Timestamp in project hive by apache.
the class VectorUDFAdaptor method setOutputCol.
private void setOutputCol(ColumnVector colVec, int i, Object value) {
/* Depending on the output type, get the value, cast the result to the
* correct type if needed, and assign the result into the output vector.
*/
if (outputOI instanceof WritableStringObjectInspector) {
BytesColumnVector bv = (BytesColumnVector) colVec;
Text t;
if (value instanceof String) {
t = new Text((String) value);
} else {
t = ((WritableStringObjectInspector) outputOI).getPrimitiveWritableObject(value);
}
bv.setVal(i, t.getBytes(), 0, t.getLength());
} else if (outputOI instanceof WritableHiveCharObjectInspector) {
WritableHiveCharObjectInspector writableHiveCharObjectOI = (WritableHiveCharObjectInspector) outputOI;
int maxLength = ((CharTypeInfo) writableHiveCharObjectOI.getTypeInfo()).getLength();
BytesColumnVector bv = (BytesColumnVector) colVec;
HiveCharWritable hiveCharWritable;
if (value instanceof HiveCharWritable) {
hiveCharWritable = ((HiveCharWritable) value);
} else {
hiveCharWritable = writableHiveCharObjectOI.getPrimitiveWritableObject(value);
}
Text t = hiveCharWritable.getTextValue();
// In vector mode, we stored CHAR as unpadded.
StringExpr.rightTrimAndTruncate(bv, i, t.getBytes(), 0, t.getLength(), maxLength);
} else if (outputOI instanceof WritableHiveVarcharObjectInspector) {
WritableHiveVarcharObjectInspector writableHiveVarcharObjectOI = (WritableHiveVarcharObjectInspector) outputOI;
int maxLength = ((VarcharTypeInfo) writableHiveVarcharObjectOI.getTypeInfo()).getLength();
BytesColumnVector bv = (BytesColumnVector) colVec;
HiveVarcharWritable hiveVarcharWritable;
if (value instanceof HiveVarcharWritable) {
hiveVarcharWritable = ((HiveVarcharWritable) value);
} else {
hiveVarcharWritable = writableHiveVarcharObjectOI.getPrimitiveWritableObject(value);
}
Text t = hiveVarcharWritable.getTextValue();
StringExpr.truncate(bv, i, t.getBytes(), 0, t.getLength(), maxLength);
} else if (outputOI instanceof WritableIntObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
if (value instanceof Integer) {
lv.vector[i] = (Integer) value;
} else {
lv.vector[i] = ((WritableIntObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableLongObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
if (value instanceof Long) {
lv.vector[i] = (Long) value;
} else {
lv.vector[i] = ((WritableLongObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableDoubleObjectInspector) {
DoubleColumnVector dv = (DoubleColumnVector) colVec;
if (value instanceof Double) {
dv.vector[i] = (Double) value;
} else {
dv.vector[i] = ((WritableDoubleObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableFloatObjectInspector) {
DoubleColumnVector dv = (DoubleColumnVector) colVec;
if (value instanceof Float) {
dv.vector[i] = (Float) value;
} else {
dv.vector[i] = ((WritableFloatObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableShortObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
if (value instanceof Short) {
lv.vector[i] = (Short) value;
} else {
lv.vector[i] = ((WritableShortObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableByteObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
if (value instanceof Byte) {
lv.vector[i] = (Byte) value;
} else {
lv.vector[i] = ((WritableByteObjectInspector) outputOI).get(value);
}
} else if (outputOI instanceof WritableTimestampObjectInspector) {
TimestampColumnVector tv = (TimestampColumnVector) colVec;
Timestamp ts;
if (value instanceof Timestamp) {
ts = (Timestamp) value;
} else {
ts = ((WritableTimestampObjectInspector) outputOI).getPrimitiveJavaObject(value);
}
tv.set(i, ts);
} else if (outputOI instanceof WritableDateObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
Date ts;
if (value instanceof Date) {
ts = (Date) value;
} else {
ts = ((WritableDateObjectInspector) outputOI).getPrimitiveJavaObject(value);
}
long l = DateWritable.dateToDays(ts);
lv.vector[i] = l;
} else if (outputOI instanceof WritableBooleanObjectInspector) {
LongColumnVector lv = (LongColumnVector) colVec;
if (value instanceof Boolean) {
lv.vector[i] = (Boolean) value ? 1 : 0;
} else {
lv.vector[i] = ((WritableBooleanObjectInspector) outputOI).get(value) ? 1 : 0;
}
} else if (outputOI instanceof WritableHiveDecimalObjectInspector) {
DecimalColumnVector dcv = (DecimalColumnVector) colVec;
if (value instanceof HiveDecimal) {
dcv.set(i, (HiveDecimal) value);
} else {
HiveDecimal hd = ((WritableHiveDecimalObjectInspector) outputOI).getPrimitiveJavaObject(value);
dcv.set(i, hd);
}
} else if (outputOI instanceof WritableBinaryObjectInspector) {
BytesWritable bw = (BytesWritable) value;
BytesColumnVector bv = (BytesColumnVector) colVec;
bv.setVal(i, bw.getBytes(), 0, bw.getLength());
} else {
throw new RuntimeException("Unhandled object type " + outputOI.getTypeName() + " inspector class " + outputOI.getClass().getName() + " value class " + value.getClass().getName());
}
}
use of java.sql.Timestamp in project hive by apache.
the class NanoTimeUtils method getTimestamp.
/**
* Constructs a floating time Timestamp from the julian date contained in NanoTime.
* If the timezone of the calendar is different from the current local
* timezone, then the timestamp value will be adjusted.
* Possible adjustments:
* - JD -> UTC Ts -> TableTZ Calendar copied to LocalTZ Calendar -> UTC Ts
* @param nt stored julian date
* @param calendar timezone used to adjust the timestamp for parquet
* @return floating time represented as a timestamp. Guaranteed to display
* the same when formatted using the current local timezone as with the local
* timezone at the time it was stored.
*/
public static Timestamp getTimestamp(NanoTime nt, Calendar calendar) {
int julianDay = nt.getJulianDay();
long nanosOfDay = nt.getTimeOfDayNanos();
long remainder = nanosOfDay;
julianDay += remainder / NANOS_PER_DAY;
remainder %= NANOS_PER_DAY;
if (remainder < 0) {
remainder += NANOS_PER_DAY;
julianDay--;
}
JDateTime jDateTime = new JDateTime((double) julianDay);
Calendar utcCalendar = getUTCCalendar();
utcCalendar.clear();
utcCalendar.set(Calendar.YEAR, jDateTime.getYear());
//java calendar index starting at 1.
utcCalendar.set(Calendar.MONTH, jDateTime.getMonth() - 1);
utcCalendar.set(Calendar.DAY_OF_MONTH, jDateTime.getDay());
int hour = (int) (remainder / (NANOS_PER_HOUR));
remainder = remainder % (NANOS_PER_HOUR);
int minutes = (int) (remainder / (NANOS_PER_MINUTE));
remainder = remainder % (NANOS_PER_MINUTE);
int seconds = (int) (remainder / (NANOS_PER_SECOND));
long nanos = remainder % NANOS_PER_SECOND;
utcCalendar.set(Calendar.HOUR_OF_DAY, hour);
utcCalendar.set(Calendar.MINUTE, minutes);
utcCalendar.set(Calendar.SECOND, seconds);
calendar.setTimeInMillis(utcCalendar.getTimeInMillis());
Calendar adjusterCalendar = copyToCalendarWithTZ(calendar, Calendar.getInstance());
Timestamp ts = new Timestamp(adjusterCalendar.getTimeInMillis());
ts.setNanos((int) nanos);
return ts;
}
use of java.sql.Timestamp in project hive by apache.
the class VectorizedPrimitiveColumnReader method decodeDictionaryIds.
/**
* Reads `num` values into column, decoding the values from `dictionaryIds` and `dictionary`.
*/
private void decodeDictionaryIds(int rowId, int num, ColumnVector column, LongColumnVector dictionaryIds) {
System.arraycopy(dictionaryIds.isNull, rowId, column.isNull, rowId, num);
if (column.noNulls) {
column.noNulls = dictionaryIds.noNulls;
}
column.isRepeating = column.isRepeating && dictionaryIds.isRepeating;
switch(descriptor.getType()) {
case INT32:
for (int i = rowId; i < rowId + num; ++i) {
((LongColumnVector) column).vector[i] = dictionary.decodeToInt((int) dictionaryIds.vector[i]);
}
break;
case INT64:
for (int i = rowId; i < rowId + num; ++i) {
((LongColumnVector) column).vector[i] = dictionary.decodeToLong((int) dictionaryIds.vector[i]);
}
break;
case FLOAT:
for (int i = rowId; i < rowId + num; ++i) {
((DoubleColumnVector) column).vector[i] = dictionary.decodeToFloat((int) dictionaryIds.vector[i]);
}
break;
case DOUBLE:
for (int i = rowId; i < rowId + num; ++i) {
((DoubleColumnVector) column).vector[i] = dictionary.decodeToDouble((int) dictionaryIds.vector[i]);
}
break;
case INT96:
final Calendar calendar;
if (Strings.isNullOrEmpty(this.conversionTimeZone)) {
// Local time should be used if no timezone is specified
calendar = Calendar.getInstance();
} else {
calendar = Calendar.getInstance(TimeZone.getTimeZone(this.conversionTimeZone));
}
for (int i = rowId; i < rowId + num; ++i) {
ByteBuffer buf = dictionary.decodeToBinary((int) dictionaryIds.vector[i]).toByteBuffer();
buf.order(ByteOrder.LITTLE_ENDIAN);
long timeOfDayNanos = buf.getLong();
int julianDay = buf.getInt();
NanoTime nt = new NanoTime(julianDay, timeOfDayNanos);
Timestamp ts = NanoTimeUtils.getTimestamp(nt, calendar);
((TimestampColumnVector) column).set(i, ts);
}
break;
case BINARY:
case FIXED_LEN_BYTE_ARRAY:
if (column instanceof BytesColumnVector) {
for (int i = rowId; i < rowId + num; ++i) {
((BytesColumnVector) column).setVal(i, dictionary.decodeToBinary((int) dictionaryIds.vector[i]).getBytesUnsafe());
}
} else {
DecimalColumnVector decimalColumnVector = ((DecimalColumnVector) column);
decimalColumnVector.precision = (short) type.asPrimitiveType().getDecimalMetadata().getPrecision();
decimalColumnVector.scale = (short) type.asPrimitiveType().getDecimalMetadata().getScale();
for (int i = rowId; i < rowId + num; ++i) {
decimalColumnVector.vector[i].set(dictionary.decodeToBinary((int) dictionaryIds.vector[i]).getBytesUnsafe(), decimalColumnVector.scale);
}
}
break;
default:
throw new UnsupportedOperationException("Unsupported type: " + descriptor.getType());
}
}
use of java.sql.Timestamp 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());
}
}
use of java.sql.Timestamp in project hive by apache.
the class TestTimestampWritable method testDecimalToTimestampRandomly.
@Test
@Concurrent(count = 4)
public void testDecimalToTimestampRandomly() {
Random rand = new Random(294729777L);
for (int i = 0; i < 10000; ++i) {
Timestamp ts = new Timestamp(randomMillis(MIN_FOUR_DIGIT_YEAR_MILLIS, MAX_FOUR_DIGIT_YEAR_MILLIS, rand));
// full precision
ts.setNanos(randomNanos(rand, 9));
assertEquals(ts, TimestampUtils.decimalToTimestamp(timestampToDecimal(ts)));
}
}
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