use of org.apache.hadoop.hive.common.type.Date 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 = ((DateWritableV2) object).get();
serializeWrite.writeDate(value);
}
break;
case TIMESTAMP:
{
Timestamp value = ((TimestampWritableV2) 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();
Map<Object, Object> hashMap = (Map<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;
List<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos();
List<Object> fieldValues = (List<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());
}
}
use of org.apache.hadoop.hive.common.type.Date 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 = ((DateWritableV2) 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 = ((TimestampWritableV2) 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());
}
}
use of org.apache.hadoop.hive.common.type.Date in project hive by apache.
the class VectorColumnGroupGenerator method generateRowColumnValue.
private void generateRowColumnValue(int rowIndex, int columnIndex, Random random) {
GenerateType generateType = generateTypes[columnIndex];
GenerateCategory category = generateType.getCategory();
boolean allowNulls = generateType.getAllowNulls();
if (allowNulls && random.nextInt(100) < 5) {
isNullArrays[columnIndex][rowIndex] = true;
return;
}
Object array = arrays[columnIndex];
switch(category) {
case BOOLEAN:
{
boolean value = random.nextBoolean();
((boolean[]) array)[rowIndex] = value;
}
break;
case BYTE:
{
byte value = (byte) (random.nextBoolean() ? -random.nextInt(-((int) Byte.MIN_VALUE) + 1) : random.nextInt((int) Byte.MAX_VALUE + 1));
((byte[]) array)[rowIndex] = value;
}
break;
case SHORT:
{
short value = (short) (random.nextBoolean() ? -random.nextInt(-((int) Short.MIN_VALUE) + 1) : random.nextInt((int) Short.MAX_VALUE + 1));
((short[]) array)[rowIndex] = value;
}
break;
case INT:
{
int value = random.nextInt();
((int[]) array)[rowIndex] = value;
}
break;
case LONG:
{
long value = random.nextLong();
((long[]) array)[rowIndex] = value;
}
break;
case FLOAT:
{
float value = random.nextLong();
((float[]) array)[rowIndex] = value;
}
break;
case DOUBLE:
{
double value = random.nextLong();
((double[]) array)[rowIndex] = value;
}
break;
case STRING:
{
String value = RandomTypeUtil.getRandString(random);
((String[]) array)[rowIndex] = value;
}
break;
case BINARY:
{
byte[] value = RandomTypeUtil.getRandBinary(random, 10);
((byte[][]) array)[rowIndex] = value;
}
break;
case DATE:
{
Date value = RandomTypeUtil.getRandDate(random);
((Date[]) array)[rowIndex] = value;
}
break;
case TIMESTAMP:
{
Timestamp value = RandomTypeUtil.getRandTimestamp(random).toSqlTimestamp();
((Timestamp[]) array)[rowIndex] = value;
}
break;
case CHAR:
{
// UNDONE: Use CharTypeInfo.maxLength
HiveChar value = new HiveChar(RandomTypeUtil.getRandString(random), 10);
((HiveChar[]) array)[rowIndex] = value;
}
break;
case VARCHAR:
{
// UNDONE: Use VarcharTypeInfo.maxLength
HiveVarchar value = new HiveVarchar(RandomTypeUtil.getRandString(random), 10);
((HiveVarchar[]) array)[rowIndex] = value;
}
break;
case DECIMAL:
{
HiveDecimalWritable value = new HiveDecimalWritable(RandomTypeUtil.getRandHiveDecimal(random));
((HiveDecimalWritable[]) array)[rowIndex] = value;
}
break;
case LIST:
case MAP:
case STRUCT:
case UNION:
default:
}
}
use of org.apache.hadoop.hive.common.type.Date in project hive by apache.
the class VectorColumnGroupGenerator method fillDownRowColumnValue.
private void fillDownRowColumnValue(int rowIndex, int columnIndex, int seriesCount, Random random) {
GenerateType generateType = generateTypes[columnIndex];
GenerateCategory category = generateType.getCategory();
boolean allowNulls = generateType.getAllowNulls();
Object array = arrays[columnIndex];
boolean[] isNull = isNullArrays[columnIndex];
if (allowNulls && isNull[rowIndex]) {
for (int i = 1; i < seriesCount; i++) {
isNull[rowIndex + i] = true;
}
return;
}
switch(category) {
case BOOLEAN:
{
boolean[] booleanArray = ((boolean[]) array);
boolean value = booleanArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
booleanArray[rowIndex + i] = value;
}
}
break;
case BYTE:
{
byte[] byteArray = ((byte[]) array);
byte value = byteArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
byteArray[rowIndex + i] = value;
}
}
break;
case SHORT:
{
short[] shortArray = ((short[]) array);
short value = shortArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
shortArray[rowIndex + i] = value;
}
}
break;
case INT:
{
int[] intArray = ((int[]) array);
int value = intArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
intArray[rowIndex + i] = value;
}
}
break;
case LONG:
{
long[] longArray = ((long[]) array);
long value = longArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
longArray[rowIndex + i] = value;
}
}
break;
case FLOAT:
{
float[] floatArray = ((float[]) array);
float value = floatArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
floatArray[rowIndex + i] = value;
}
}
break;
case DOUBLE:
{
double[] doubleArray = ((double[]) array);
double value = doubleArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
doubleArray[rowIndex + i] = value;
}
}
break;
case STRING:
{
String[] stringArray = ((String[]) array);
String value = stringArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
stringArray[rowIndex + i] = value;
}
}
break;
case BINARY:
{
byte[][] byteArrayArray = ((byte[][]) array);
byte[] value = byteArrayArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
byteArrayArray[rowIndex + i] = value;
}
}
break;
case DATE:
{
Date[] dateArray = ((Date[]) array);
Date value = dateArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
dateArray[rowIndex + i] = value;
}
}
break;
case TIMESTAMP:
{
Timestamp[] timestampArray = ((Timestamp[]) array);
Timestamp value = timestampArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
timestampArray[rowIndex + i] = value;
}
}
break;
case CHAR:
{
HiveChar[] hiveCharArray = ((HiveChar[]) array);
HiveChar value = hiveCharArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
hiveCharArray[rowIndex + i] = value;
}
}
break;
case VARCHAR:
{
HiveVarchar[] hiveVarcharArray = ((HiveVarchar[]) array);
HiveVarchar value = hiveVarcharArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
hiveVarcharArray[rowIndex + i] = value;
}
}
break;
case DECIMAL:
{
HiveDecimalWritable[] hiveDecimalWritableArray = ((HiveDecimalWritable[]) array);
HiveDecimalWritable value = hiveDecimalWritableArray[rowIndex];
for (int i = 1; i < seriesCount; i++) {
hiveDecimalWritableArray[rowIndex + i] = value;
}
}
break;
case LIST:
case MAP:
case STRUCT:
case UNION:
default:
}
}
use of org.apache.hadoop.hive.common.type.Date in project hive by apache.
the class TestParquetTimestampUtils method testJulianDay.
@Test
public void testJulianDay() {
// check if May 23, 1968 is Julian Day 2440000
GregorianCalendar cal = new GregorianCalendar();
cal.setTimeZone(TimeZone.getTimeZone("GMT"));
cal.setGregorianChange(new java.util.Date(Long.MIN_VALUE));
cal.set(Calendar.YEAR, 1968);
cal.set(Calendar.MONTH, Calendar.MAY);
cal.set(Calendar.DAY_OF_MONTH, 23);
cal.set(Calendar.HOUR_OF_DAY, 0);
Timestamp ts = Timestamp.ofEpochMilli(cal.getTimeInMillis());
NanoTime nt = NanoTimeUtils.getNanoTime(ts, TimeZone.getDefault().toZoneId(), false);
Assert.assertEquals(nt.getJulianDay(), 2440000);
Timestamp tsFetched = NanoTimeUtils.getTimestamp(nt, TimeZone.getDefault().toZoneId());
Assert.assertEquals(tsFetched, ts);
// check if 30 Julian Days between Jan 1, 2005 and Jan 31, 2005.
GregorianCalendar cal1 = new GregorianCalendar();
cal1.setTimeZone(TimeZone.getTimeZone("GMT"));
cal1.setGregorianChange(new java.util.Date(Long.MIN_VALUE));
cal1.set(Calendar.YEAR, 2005);
cal1.set(Calendar.MONTH, Calendar.JANUARY);
cal1.set(Calendar.DAY_OF_MONTH, 1);
cal1.set(Calendar.HOUR_OF_DAY, 0);
Timestamp ts1 = Timestamp.ofEpochMilli(cal1.getTimeInMillis());
NanoTime nt1 = NanoTimeUtils.getNanoTime(ts1, TimeZone.getDefault().toZoneId(), false);
Timestamp ts1Fetched = NanoTimeUtils.getTimestamp(nt1, TimeZone.getDefault().toZoneId());
Assert.assertEquals(ts1Fetched, ts1);
GregorianCalendar cal2 = new GregorianCalendar();
cal2.setTimeZone(TimeZone.getTimeZone("UTC"));
cal2.setGregorianChange(new java.util.Date(Long.MIN_VALUE));
cal2.set(Calendar.YEAR, 2005);
cal2.set(Calendar.MONTH, Calendar.JANUARY);
cal2.set(Calendar.DAY_OF_MONTH, 31);
cal2.set(Calendar.HOUR_OF_DAY, 0);
Timestamp ts2 = Timestamp.ofEpochMilli(cal2.getTimeInMillis());
NanoTime nt2 = NanoTimeUtils.getNanoTime(ts2, TimeZone.getDefault().toZoneId(), false);
Timestamp ts2Fetched = NanoTimeUtils.getTimestamp(nt2, TimeZone.getDefault().toZoneId());
Assert.assertEquals(ts2Fetched, ts2);
Assert.assertEquals(nt2.getJulianDay() - nt1.getJulianDay(), 30);
// check if 730517 Julian Days between Jan 1, 0005 and Jan 31, 2005.
// This method used to test Julian Days between Jan 1, 2005 BCE and Jan 1, 2005 CE. Since BCE
// timestamps are not supported, both dates were changed to CE.
cal1 = new GregorianCalendar();
cal1.setTimeZone(TimeZone.getTimeZone("GMT"));
cal1.setGregorianChange(new java.util.Date(Long.MIN_VALUE));
cal1.set(Calendar.YEAR, 0005);
cal1.set(Calendar.MONTH, Calendar.JANUARY);
cal1.set(Calendar.DAY_OF_MONTH, 1);
cal1.set(Calendar.HOUR_OF_DAY, 0);
ts1 = Timestamp.ofEpochMilli(cal1.getTimeInMillis());
nt1 = NanoTimeUtils.getNanoTime(ts1, TimeZone.getDefault().toZoneId(), false);
ts1Fetched = NanoTimeUtils.getTimestamp(nt1, TimeZone.getDefault().toZoneId());
Assert.assertEquals(ts1Fetched, ts1);
cal2 = new GregorianCalendar();
cal2.setTimeZone(TimeZone.getTimeZone("UTC"));
cal2.setGregorianChange(new java.util.Date(Long.MIN_VALUE));
cal2.set(Calendar.YEAR, 2005);
cal2.set(Calendar.MONTH, Calendar.JANUARY);
cal2.set(Calendar.DAY_OF_MONTH, 31);
cal2.set(Calendar.HOUR_OF_DAY, 0);
ts2 = Timestamp.ofEpochMilli(cal2.getTimeInMillis());
nt2 = NanoTimeUtils.getNanoTime(ts2, TimeZone.getDefault().toZoneId(), false);
ts2Fetched = NanoTimeUtils.getTimestamp(nt2, TimeZone.getDefault().toZoneId());
Assert.assertEquals(ts2Fetched, ts2);
Assert.assertEquals(730517, nt2.getJulianDay() - nt1.getJulianDay());
Date d1 = Date.ofEpochMilli(cal1.getTimeInMillis());
Assert.assertEquals("0005-01-01", d1.toString());
Date d2 = Date.ofEpochMilli(cal2.getTimeInMillis());
Assert.assertEquals("2005-01-31", d2.toString());
}
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