use of org.apache.hadoop.hive.metastore.api.Timestamp in project hive by apache.
the class ColumnStatisticsObjTranslator method unpackTimestampStats.
private static void unpackTimestampStats(ObjectInspector oi, Object o, ColumnStatsField csf, ColumnStatisticsObj statsObj) {
switch(csf) {
case COUNT_NULLS:
long cn = ((LongObjectInspector) oi).get(o);
statsObj.getStatsData().getTimestampStats().setNumNulls(cn);
break;
case MIN:
TimestampWritableV2 min = ((TimestampObjectInspector) oi).getPrimitiveWritableObject(o);
statsObj.getStatsData().getTimestampStats().setLowValue(new Timestamp(min.getSeconds()));
break;
case MAX:
TimestampWritableV2 max = ((TimestampObjectInspector) oi).getPrimitiveWritableObject(o);
statsObj.getStatsData().getTimestampStats().setHighValue(new Timestamp(max.getSeconds()));
break;
case NDV:
long ndv = ((LongObjectInspector) oi).get(o);
statsObj.getStatsData().getTimestampStats().setNumDVs(ndv);
break;
case BITVECTOR:
PrimitiveObjectInspector poi = (PrimitiveObjectInspector) oi;
byte[] buf = ((BinaryObjectInspector) poi).getPrimitiveJavaObject(o);
statsObj.getStatsData().getTimestampStats().setBitVectors(buf);
break;
default:
throw new RuntimeException("Unsupported column stat for TIMESTAMP : " + csf);
}
}
use of org.apache.hadoop.hive.metastore.api.Timestamp in project hive by apache.
the class StatObjectConverter method getTableColumnStatisticsObj.
public static ColumnStatisticsObj getTableColumnStatisticsObj(MTableColumnStatistics mStatsObj, boolean enableBitVector) {
ColumnStatisticsObj statsObj = new ColumnStatisticsObj();
statsObj.setColType(mStatsObj.getColType());
statsObj.setColName(mStatsObj.getColName());
String colType = mStatsObj.getColType().toLowerCase();
ColumnStatisticsData colStatsData = new ColumnStatisticsData();
if (colType.equals("boolean")) {
BooleanColumnStatsData boolStats = new BooleanColumnStatsData();
boolStats.setNumFalses(mStatsObj.getNumFalses());
boolStats.setNumTrues(mStatsObj.getNumTrues());
boolStats.setNumNulls(mStatsObj.getNumNulls());
colStatsData.setBooleanStats(boolStats);
} else if (colType.equals("string") || colType.startsWith("varchar") || colType.startsWith("char")) {
StringColumnStatsDataInspector stringStats = new StringColumnStatsDataInspector();
stringStats.setNumNulls(mStatsObj.getNumNulls());
stringStats.setAvgColLen(mStatsObj.getAvgColLen());
stringStats.setMaxColLen(mStatsObj.getMaxColLen());
stringStats.setNumDVs(mStatsObj.getNumDVs());
stringStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setStringStats(stringStats);
} else if (colType.equals("binary")) {
BinaryColumnStatsData binaryStats = new BinaryColumnStatsData();
binaryStats.setNumNulls(mStatsObj.getNumNulls());
binaryStats.setAvgColLen(mStatsObj.getAvgColLen());
binaryStats.setMaxColLen(mStatsObj.getMaxColLen());
colStatsData.setBinaryStats(binaryStats);
} else if (colType.equals("bigint") || colType.equals("int") || colType.equals("smallint") || colType.equals("tinyint")) {
LongColumnStatsDataInspector longStats = new LongColumnStatsDataInspector();
longStats.setNumNulls(mStatsObj.getNumNulls());
Long longHighValue = mStatsObj.getLongHighValue();
if (longHighValue != null) {
longStats.setHighValue(longHighValue);
}
Long longLowValue = mStatsObj.getLongLowValue();
if (longLowValue != null) {
longStats.setLowValue(longLowValue);
}
longStats.setNumDVs(mStatsObj.getNumDVs());
longStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setLongStats(longStats);
} else if (colType.equals("double") || colType.equals("float")) {
DoubleColumnStatsDataInspector doubleStats = new DoubleColumnStatsDataInspector();
doubleStats.setNumNulls(mStatsObj.getNumNulls());
Double doubleHighValue = mStatsObj.getDoubleHighValue();
if (doubleHighValue != null) {
doubleStats.setHighValue(doubleHighValue);
}
Double doubleLowValue = mStatsObj.getDoubleLowValue();
if (doubleLowValue != null) {
doubleStats.setLowValue(doubleLowValue);
}
doubleStats.setNumDVs(mStatsObj.getNumDVs());
doubleStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDoubleStats(doubleStats);
} else if (colType.startsWith("decimal")) {
DecimalColumnStatsDataInspector decimalStats = new DecimalColumnStatsDataInspector();
decimalStats.setNumNulls(mStatsObj.getNumNulls());
String decimalHighValue = mStatsObj.getDecimalHighValue();
if (decimalHighValue != null) {
decimalStats.setHighValue(DecimalUtils.createThriftDecimal(decimalHighValue));
}
String decimalLowValue = mStatsObj.getDecimalLowValue();
if (decimalLowValue != null) {
decimalStats.setLowValue(DecimalUtils.createThriftDecimal(decimalLowValue));
}
decimalStats.setNumDVs(mStatsObj.getNumDVs());
decimalStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDecimalStats(decimalStats);
} else if (colType.equals("date")) {
DateColumnStatsDataInspector dateStats = new DateColumnStatsDataInspector();
dateStats.setNumNulls(mStatsObj.getNumNulls());
Long highValue = mStatsObj.getLongHighValue();
if (highValue != null) {
dateStats.setHighValue(new Date(highValue));
}
Long lowValue = mStatsObj.getLongLowValue();
if (lowValue != null) {
dateStats.setLowValue(new Date(lowValue));
}
dateStats.setNumDVs(mStatsObj.getNumDVs());
dateStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDateStats(dateStats);
} else if (colType.equals("timestamp")) {
TimestampColumnStatsDataInspector timestampStats = new TimestampColumnStatsDataInspector();
timestampStats.setNumNulls(mStatsObj.getNumNulls());
Long highValue = mStatsObj.getLongHighValue();
if (highValue != null) {
timestampStats.setHighValue(new Timestamp(highValue));
}
Long lowValue = mStatsObj.getLongLowValue();
if (lowValue != null) {
timestampStats.setLowValue(new Timestamp(lowValue));
}
timestampStats.setNumDVs(mStatsObj.getNumDVs());
timestampStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setTimestampStats(timestampStats);
}
statsObj.setStatsData(colStatsData);
return statsObj;
}
use of org.apache.hadoop.hive.metastore.api.Timestamp in project hive by apache.
the class StatObjectConverter method fillColumnStatisticsData.
// DB
public static void fillColumnStatisticsData(String colType, ColumnStatisticsData data, Object llow, Object lhigh, Object dlow, Object dhigh, Object declow, Object dechigh, Object nulls, Object dist, Object avglen, Object maxlen, Object trues, Object falses, Object avgLong, Object avgDouble, Object avgDecimal, Object sumDist, boolean useDensityFunctionForNDVEstimation, double ndvTuner) throws MetaException {
colType = colType.toLowerCase();
if (colType.equals("boolean")) {
BooleanColumnStatsData boolStats = new BooleanColumnStatsData();
boolStats.setNumFalses(MetastoreDirectSqlUtils.extractSqlLong(falses));
boolStats.setNumTrues(MetastoreDirectSqlUtils.extractSqlLong(trues));
boolStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
data.setBooleanStats(boolStats);
} else if (colType.equals("string") || colType.startsWith("varchar") || colType.startsWith("char")) {
StringColumnStatsDataInspector stringStats = new StringColumnStatsDataInspector();
stringStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
stringStats.setAvgColLen(MetastoreDirectSqlUtils.extractSqlDouble(avglen));
stringStats.setMaxColLen(MetastoreDirectSqlUtils.extractSqlLong(maxlen));
stringStats.setNumDVs(MetastoreDirectSqlUtils.extractSqlLong(dist));
data.setStringStats(stringStats);
} else if (colType.equals("binary")) {
BinaryColumnStatsData binaryStats = new BinaryColumnStatsData();
binaryStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
binaryStats.setAvgColLen(MetastoreDirectSqlUtils.extractSqlDouble(avglen));
binaryStats.setMaxColLen(MetastoreDirectSqlUtils.extractSqlLong(maxlen));
data.setBinaryStats(binaryStats);
} else if (colType.equals("bigint") || colType.equals("int") || colType.equals("smallint") || colType.equals("tinyint")) {
LongColumnStatsDataInspector longStats = new LongColumnStatsDataInspector();
longStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
if (lhigh != null) {
longStats.setHighValue(MetastoreDirectSqlUtils.extractSqlLong(lhigh));
}
if (llow != null) {
longStats.setLowValue(MetastoreDirectSqlUtils.extractSqlLong(llow));
}
long lowerBound = MetastoreDirectSqlUtils.extractSqlLong(dist);
long higherBound = MetastoreDirectSqlUtils.extractSqlLong(sumDist);
long rangeBound = Long.MAX_VALUE;
if (lhigh != null && llow != null) {
rangeBound = MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow) + 1;
}
long estimation;
if (useDensityFunctionForNDVEstimation && lhigh != null && llow != null && avgLong != null && MetastoreDirectSqlUtils.extractSqlDouble(avgLong) != 0.0) {
// We have estimation, lowerbound and higherbound. We use estimation if
// it is between lowerbound and higherbound.
estimation = MetastoreDirectSqlUtils.extractSqlLong((MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow)) / MetastoreDirectSqlUtils.extractSqlDouble(avgLong));
if (estimation < lowerBound) {
estimation = lowerBound;
} else if (estimation > higherBound) {
estimation = higherBound;
}
} else {
estimation = (long) (lowerBound + (higherBound - lowerBound) * ndvTuner);
}
estimation = Math.min(estimation, rangeBound);
longStats.setNumDVs(estimation);
data.setLongStats(longStats);
} else if (colType.equals("date")) {
DateColumnStatsDataInspector dateStats = new DateColumnStatsDataInspector();
dateStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
if (lhigh != null) {
dateStats.setHighValue(new Date(MetastoreDirectSqlUtils.extractSqlLong(lhigh)));
}
if (llow != null) {
dateStats.setLowValue(new Date(MetastoreDirectSqlUtils.extractSqlLong(llow)));
}
long lowerBound = MetastoreDirectSqlUtils.extractSqlLong(dist);
long higherBound = MetastoreDirectSqlUtils.extractSqlLong(sumDist);
long rangeBound = Long.MAX_VALUE;
if (lhigh != null && llow != null) {
rangeBound = MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow) + 1;
}
long estimation;
if (useDensityFunctionForNDVEstimation && lhigh != null && llow != null && avgLong != null && MetastoreDirectSqlUtils.extractSqlDouble(avgLong) != 0.0) {
// We have estimation, lowerbound and higherbound. We use estimation if
// it is between lowerbound and higherbound.
estimation = MetastoreDirectSqlUtils.extractSqlLong((MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow)) / MetastoreDirectSqlUtils.extractSqlDouble(avgLong));
if (estimation < lowerBound) {
estimation = lowerBound;
} else if (estimation > higherBound) {
estimation = higherBound;
}
} else {
estimation = (long) (lowerBound + (higherBound - lowerBound) * ndvTuner);
}
estimation = Math.min(estimation, rangeBound);
dateStats.setNumDVs(estimation);
data.setDateStats(dateStats);
} else if (colType.equals("timestamp")) {
TimestampColumnStatsDataInspector timestampStats = new TimestampColumnStatsDataInspector();
timestampStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
if (lhigh != null) {
timestampStats.setHighValue(new Timestamp(MetastoreDirectSqlUtils.extractSqlLong(lhigh)));
}
if (llow != null) {
timestampStats.setLowValue(new Timestamp(MetastoreDirectSqlUtils.extractSqlLong(llow)));
}
long lowerBound = MetastoreDirectSqlUtils.extractSqlLong(dist);
long higherBound = MetastoreDirectSqlUtils.extractSqlLong(sumDist);
long rangeBound = Long.MAX_VALUE;
if (lhigh != null && llow != null) {
rangeBound = MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow) + 1;
}
long estimation;
if (useDensityFunctionForNDVEstimation && lhigh != null && llow != null && avgLong != null && MetastoreDirectSqlUtils.extractSqlDouble(avgLong) != 0.0) {
// We have estimation, lowerbound and higherbound. We use estimation if
// it is between lowerbound and higherbound.
estimation = MetastoreDirectSqlUtils.extractSqlLong((MetastoreDirectSqlUtils.extractSqlLong(lhigh) - MetastoreDirectSqlUtils.extractSqlLong(llow)) / MetastoreDirectSqlUtils.extractSqlDouble(avgLong));
if (estimation < lowerBound) {
estimation = lowerBound;
} else if (estimation > higherBound) {
estimation = higherBound;
}
} else {
estimation = (long) (lowerBound + (higherBound - lowerBound) * ndvTuner);
}
estimation = Math.min(estimation, rangeBound);
timestampStats.setNumDVs(estimation);
data.setTimestampStats(timestampStats);
} else if (colType.equals("double") || colType.equals("float")) {
DoubleColumnStatsDataInspector doubleStats = new DoubleColumnStatsDataInspector();
doubleStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
if (dhigh != null) {
doubleStats.setHighValue(MetastoreDirectSqlUtils.extractSqlDouble(dhigh));
}
if (dlow != null) {
doubleStats.setLowValue(MetastoreDirectSqlUtils.extractSqlDouble(dlow));
}
long lowerBound = MetastoreDirectSqlUtils.extractSqlLong(dist);
long higherBound = MetastoreDirectSqlUtils.extractSqlLong(sumDist);
if (useDensityFunctionForNDVEstimation && dhigh != null && dlow != null && avgDouble != null && MetastoreDirectSqlUtils.extractSqlDouble(avgDouble) != 0.0) {
long estimation = MetastoreDirectSqlUtils.extractSqlLong((MetastoreDirectSqlUtils.extractSqlLong(dhigh) - MetastoreDirectSqlUtils.extractSqlLong(dlow)) / MetastoreDirectSqlUtils.extractSqlDouble(avgDouble));
if (estimation < lowerBound) {
doubleStats.setNumDVs(lowerBound);
} else if (estimation > higherBound) {
doubleStats.setNumDVs(higherBound);
} else {
doubleStats.setNumDVs(estimation);
}
} else {
doubleStats.setNumDVs((long) (lowerBound + (higherBound - lowerBound) * ndvTuner));
}
data.setDoubleStats(doubleStats);
} else if (colType.startsWith("decimal")) {
DecimalColumnStatsDataInspector decimalStats = new DecimalColumnStatsDataInspector();
decimalStats.setNumNulls(MetastoreDirectSqlUtils.extractSqlLong(nulls));
Decimal low = null;
Decimal high = null;
BigDecimal blow = null;
BigDecimal bhigh = null;
if (dechigh instanceof BigDecimal) {
bhigh = (BigDecimal) dechigh;
high = DecimalUtils.getDecimal(ByteBuffer.wrap(bhigh.unscaledValue().toByteArray()), (short) bhigh.scale());
} else if (dechigh instanceof String) {
bhigh = new BigDecimal((String) dechigh);
high = DecimalUtils.createThriftDecimal((String) dechigh);
}
decimalStats.setHighValue(high);
if (declow instanceof BigDecimal) {
blow = (BigDecimal) declow;
low = DecimalUtils.getDecimal(ByteBuffer.wrap(blow.unscaledValue().toByteArray()), (short) blow.scale());
} else if (dechigh instanceof String) {
blow = new BigDecimal((String) declow);
low = DecimalUtils.createThriftDecimal((String) declow);
}
decimalStats.setLowValue(low);
long lowerBound = MetastoreDirectSqlUtils.extractSqlLong(dist);
long higherBound = MetastoreDirectSqlUtils.extractSqlLong(sumDist);
if (useDensityFunctionForNDVEstimation && dechigh != null && declow != null && avgDecimal != null && MetastoreDirectSqlUtils.extractSqlDouble(avgDecimal) != 0.0) {
long estimation = MetastoreDirectSqlUtils.extractSqlLong(MetastoreDirectSqlUtils.extractSqlLong(bhigh.subtract(blow).floatValue() / MetastoreDirectSqlUtils.extractSqlDouble(avgDecimal)));
if (estimation < lowerBound) {
decimalStats.setNumDVs(lowerBound);
} else if (estimation > higherBound) {
decimalStats.setNumDVs(higherBound);
} else {
decimalStats.setNumDVs(estimation);
}
} else {
decimalStats.setNumDVs((long) (lowerBound + (higherBound - lowerBound) * ndvTuner));
}
data.setDecimalStats(decimalStats);
}
}
use of org.apache.hadoop.hive.metastore.api.Timestamp in project hive by apache.
the class StatObjectConverter method getPartitionColumnStatisticsObj.
public static ColumnStatisticsObj getPartitionColumnStatisticsObj(MPartitionColumnStatistics mStatsObj, boolean enableBitVector) {
ColumnStatisticsObj statsObj = new ColumnStatisticsObj();
statsObj.setColType(mStatsObj.getColType());
statsObj.setColName(mStatsObj.getColName());
String colType = mStatsObj.getColType().toLowerCase();
ColumnStatisticsData colStatsData = new ColumnStatisticsData();
if (colType.equals("boolean")) {
BooleanColumnStatsData boolStats = new BooleanColumnStatsData();
boolStats.setNumFalses(mStatsObj.getNumFalses());
boolStats.setNumTrues(mStatsObj.getNumTrues());
boolStats.setNumNulls(mStatsObj.getNumNulls());
colStatsData.setBooleanStats(boolStats);
} else if (colType.equals("string") || colType.startsWith("varchar") || colType.startsWith("char")) {
StringColumnStatsDataInspector stringStats = new StringColumnStatsDataInspector();
stringStats.setNumNulls(mStatsObj.getNumNulls());
stringStats.setAvgColLen(mStatsObj.getAvgColLen());
stringStats.setMaxColLen(mStatsObj.getMaxColLen());
stringStats.setNumDVs(mStatsObj.getNumDVs());
stringStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setStringStats(stringStats);
} else if (colType.equals("binary")) {
BinaryColumnStatsData binaryStats = new BinaryColumnStatsData();
binaryStats.setNumNulls(mStatsObj.getNumNulls());
binaryStats.setAvgColLen(mStatsObj.getAvgColLen());
binaryStats.setMaxColLen(mStatsObj.getMaxColLen());
colStatsData.setBinaryStats(binaryStats);
} else if (colType.equals("tinyint") || colType.equals("smallint") || colType.equals("int") || colType.equals("bigint")) {
LongColumnStatsDataInspector longStats = new LongColumnStatsDataInspector();
longStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getLongHighValue() != null) {
longStats.setHighValue(mStatsObj.getLongHighValue());
}
if (mStatsObj.getLongLowValue() != null) {
longStats.setLowValue(mStatsObj.getLongLowValue());
}
longStats.setNumDVs(mStatsObj.getNumDVs());
longStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setLongStats(longStats);
} else if (colType.equals("double") || colType.equals("float")) {
DoubleColumnStatsDataInspector doubleStats = new DoubleColumnStatsDataInspector();
doubleStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getDoubleHighValue() != null) {
doubleStats.setHighValue(mStatsObj.getDoubleHighValue());
}
if (mStatsObj.getDoubleLowValue() != null) {
doubleStats.setLowValue(mStatsObj.getDoubleLowValue());
}
doubleStats.setNumDVs(mStatsObj.getNumDVs());
doubleStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDoubleStats(doubleStats);
} else if (colType.startsWith("decimal")) {
DecimalColumnStatsDataInspector decimalStats = new DecimalColumnStatsDataInspector();
decimalStats.setNumNulls(mStatsObj.getNumNulls());
if (mStatsObj.getDecimalHighValue() != null) {
decimalStats.setHighValue(DecimalUtils.createThriftDecimal(mStatsObj.getDecimalHighValue()));
}
if (mStatsObj.getDecimalLowValue() != null) {
decimalStats.setLowValue(DecimalUtils.createThriftDecimal(mStatsObj.getDecimalLowValue()));
}
decimalStats.setNumDVs(mStatsObj.getNumDVs());
decimalStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDecimalStats(decimalStats);
} else if (colType.equals("date")) {
DateColumnStatsDataInspector dateStats = new DateColumnStatsDataInspector();
dateStats.setNumNulls(mStatsObj.getNumNulls());
Long highValue = mStatsObj.getLongHighValue();
if (highValue != null) {
dateStats.setHighValue(new Date(highValue));
}
Long lowValue = mStatsObj.getLongLowValue();
if (lowValue != null) {
dateStats.setLowValue(new Date(lowValue));
}
dateStats.setNumDVs(mStatsObj.getNumDVs());
dateStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setDateStats(dateStats);
} else if (colType.equals("timestamp")) {
TimestampColumnStatsDataInspector timestampStats = new TimestampColumnStatsDataInspector();
timestampStats.setNumNulls(mStatsObj.getNumNulls());
Long highValue = mStatsObj.getLongHighValue();
if (highValue != null) {
timestampStats.setHighValue(new Timestamp(highValue));
}
Long lowValue = mStatsObj.getLongLowValue();
if (lowValue != null) {
timestampStats.setLowValue(new Timestamp(lowValue));
}
timestampStats.setNumDVs(mStatsObj.getNumDVs());
timestampStats.setBitVectors((mStatsObj.getBitVector() == null || !enableBitVector) ? null : mStatsObj.getBitVector());
colStatsData.setTimestampStats(timestampStats);
}
statsObj.setStatsData(colStatsData);
return statsObj;
}
use of org.apache.hadoop.hive.metastore.api.Timestamp in project hive by apache.
the class TimestampColumnStatsMerger method setHighValue.
public void setHighValue(TimestampColumnStatsDataInspector aggregateData, TimestampColumnStatsDataInspector newData) {
final Timestamp aggregateHighValue = aggregateData.getHighValue();
final Timestamp newHighValue = newData.getHighValue();
final Timestamp mergedHighValue;
if (!aggregateData.isSetHighValue() && !newData.isSetHighValue()) {
return;
} else if (aggregateData.isSetHighValue() && newData.isSetHighValue()) {
mergedHighValue = ObjectUtils.max(aggregateHighValue, newHighValue);
} else {
mergedHighValue = MoreObjects.firstNonNull(aggregateHighValue, newHighValue);
}
aggregateData.setHighValue(mergedHighValue);
}
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