use of org.apache.hadoop.hive.common.type.Decimal128 in project hive by apache.
the class RexNodeConverter method convert.
protected RexNode convert(ExprNodeConstantDesc literal) throws CalciteSemanticException {
RexBuilder rexBuilder = cluster.getRexBuilder();
RelDataTypeFactory dtFactory = rexBuilder.getTypeFactory();
PrimitiveTypeInfo hiveType = (PrimitiveTypeInfo) literal.getTypeInfo();
RelDataType calciteDataType = TypeConverter.convert(hiveType, dtFactory);
PrimitiveCategory hiveTypeCategory = hiveType.getPrimitiveCategory();
ConstantObjectInspector coi = literal.getWritableObjectInspector();
Object value = ObjectInspectorUtils.copyToStandardJavaObject(coi.getWritableConstantValue(), coi);
RexNode calciteLiteral = null;
// If value is null, the type should also be VOID.
if (value == null) {
hiveTypeCategory = PrimitiveCategory.VOID;
}
// TODO: Verify if we need to use ConstantObjectInspector to unwrap data
switch(hiveTypeCategory) {
case BOOLEAN:
calciteLiteral = rexBuilder.makeLiteral(((Boolean) value).booleanValue());
break;
case BYTE:
calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Byte) value), calciteDataType);
break;
case SHORT:
calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Short) value), calciteDataType);
break;
case INT:
calciteLiteral = rexBuilder.makeExactLiteral(new BigDecimal((Integer) value));
break;
case LONG:
calciteLiteral = rexBuilder.makeBigintLiteral(new BigDecimal((Long) value));
break;
// TODO: is Decimal an exact numeric or approximate numeric?
case DECIMAL:
if (value instanceof HiveDecimal) {
value = ((HiveDecimal) value).bigDecimalValue();
} else if (value instanceof Decimal128) {
value = ((Decimal128) value).toBigDecimal();
}
if (value == null) {
// literals.
throw new CalciteSemanticException("Expression " + literal.getExprString() + " is not a valid decimal", UnsupportedFeature.Invalid_decimal);
// TODO: return createNullLiteral(literal);
}
BigDecimal bd = (BigDecimal) value;
BigInteger unscaled = bd.unscaledValue();
if (unscaled.compareTo(MIN_LONG_BI) >= 0 && unscaled.compareTo(MAX_LONG_BI) <= 0) {
calciteLiteral = rexBuilder.makeExactLiteral(bd);
} else {
// CBO doesn't support unlimited precision decimals. In practice, this
// will work...
// An alternative would be to throw CboSemanticException and fall back
// to no CBO.
RelDataType relType = cluster.getTypeFactory().createSqlType(SqlTypeName.DECIMAL, unscaled.toString().length(), bd.scale());
calciteLiteral = rexBuilder.makeExactLiteral(bd, relType);
}
break;
case FLOAT:
calciteLiteral = rexBuilder.makeApproxLiteral(new BigDecimal(Float.toString((Float) value)), calciteDataType);
break;
case DOUBLE:
// TODO: The best solution is to support NaN in expression reduction.
if (Double.isNaN((Double) value)) {
throw new CalciteSemanticException("NaN", UnsupportedFeature.Invalid_decimal);
}
calciteLiteral = rexBuilder.makeApproxLiteral(new BigDecimal(Double.toString((Double) value)), calciteDataType);
break;
case CHAR:
if (value instanceof HiveChar) {
value = ((HiveChar) value).getValue();
}
calciteLiteral = rexBuilder.makeCharLiteral(asUnicodeString((String) value));
break;
case VARCHAR:
if (value instanceof HiveVarchar) {
value = ((HiveVarchar) value).getValue();
}
calciteLiteral = rexBuilder.makeCharLiteral(asUnicodeString((String) value));
break;
case STRING:
calciteLiteral = rexBuilder.makeCharLiteral(asUnicodeString((String) value));
break;
case DATE:
Calendar cal = new GregorianCalendar();
cal.setTime((Date) value);
calciteLiteral = rexBuilder.makeDateLiteral(cal);
break;
case TIMESTAMP:
Calendar c = null;
if (value instanceof Calendar) {
c = (Calendar) value;
} else {
c = Calendar.getInstance();
c.setTimeInMillis(((Timestamp) value).getTime());
}
calciteLiteral = rexBuilder.makeTimestampLiteral(c, RelDataType.PRECISION_NOT_SPECIFIED);
break;
case INTERVAL_YEAR_MONTH:
// Calcite year-month literal value is months as BigDecimal
BigDecimal totalMonths = BigDecimal.valueOf(((HiveIntervalYearMonth) value).getTotalMonths());
calciteLiteral = rexBuilder.makeIntervalLiteral(totalMonths, new SqlIntervalQualifier(TimeUnit.YEAR, TimeUnit.MONTH, new SqlParserPos(1, 1)));
break;
case INTERVAL_DAY_TIME:
// Calcite day-time interval is millis value as BigDecimal
// Seconds converted to millis
BigDecimal secsValueBd = BigDecimal.valueOf(((HiveIntervalDayTime) value).getTotalSeconds() * 1000);
// Nanos converted to millis
BigDecimal nanosValueBd = BigDecimal.valueOf(((HiveIntervalDayTime) value).getNanos(), 6);
calciteLiteral = rexBuilder.makeIntervalLiteral(secsValueBd.add(nanosValueBd), new SqlIntervalQualifier(TimeUnit.MILLISECOND, null, new SqlParserPos(1, 1)));
break;
case VOID:
calciteLiteral = cluster.getRexBuilder().makeLiteral(null, cluster.getTypeFactory().createSqlType(SqlTypeName.NULL), true);
break;
case BINARY:
case UNKNOWN:
default:
throw new RuntimeException("UnSupported Literal");
}
return calciteLiteral;
}
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