示例#1
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 // implement RelDataType
 public RelDataTypeField getField(String fieldName, boolean caseSensitive) {
   for (RelDataTypeField field : fieldList) {
     if (Util.match(caseSensitive, field.getName(), fieldName)) {
       return field;
     }
   }
   // Extra field
   if (fieldList.size() > 0) {
     final RelDataTypeField lastField = Iterables.getLast(fieldList);
     if (lastField.getName().equals("_extra")) {
       return new RelDataTypeFieldImpl(fieldName, -1, lastField.getType());
     }
   }
   return null;
 }
示例#2
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 /**
  * Creates a relational expression which permutes the output fields of a relational expression
  * according to a permutation.
  *
  * <p>Optimizations:
  *
  * <ul>
  *   <li>If the relational expression is a {@link CalcRel} or {@link ProjectRel} which is already
  *       acting as a permutation, combines the new permutation with the old;
  *   <li>If the permutation is the identity, returns the original relational expression.
  * </ul>
  *
  * <p>If a permutation is combined with its inverse, these optimizations would combine to remove
  * them both.
  *
  * @param rel Relational expression
  * @param permutation Permutation to apply to fields
  * @param fieldNames Field names; if null, or if a particular entry is null, the name of the
  *     permuted field is used
  * @return relational expression which permutes its input fields
  */
 public static RelNode permute(RelNode rel, Permutation permutation, List<String> fieldNames) {
   if (permutation.isIdentity()) {
     return rel;
   }
   if (rel instanceof CalcRel) {
     CalcRel calcRel = (CalcRel) rel;
     Permutation permutation1 = calcRel.getProgram().getPermutation();
     if (permutation1 != null) {
       Permutation permutation2 = permutation.product(permutation1);
       return permute(rel, permutation2, null);
     }
   }
   if (rel instanceof ProjectRel) {
     Permutation permutation1 = ((ProjectRel) rel).getPermutation();
     if (permutation1 != null) {
       Permutation permutation2 = permutation.product(permutation1);
       return permute(rel, permutation2, null);
     }
   }
   final List<RelDataType> outputTypeList = new ArrayList<RelDataType>();
   final List<String> outputNameList = new ArrayList<String>();
   final List<RexNode> exprList = new ArrayList<RexNode>();
   final List<RexLocalRef> projectRefList = new ArrayList<RexLocalRef>();
   final List<RelDataTypeField> fields = rel.getRowType().getFieldList();
   for (int i = 0; i < permutation.getTargetCount(); i++) {
     int target = permutation.getTarget(i);
     final RelDataTypeField targetField = fields.get(target);
     outputTypeList.add(targetField.getType());
     outputNameList.add(
         ((fieldNames == null) || (fieldNames.size() <= i) || (fieldNames.get(i) == null))
             ? targetField.getName()
             : fieldNames.get(i));
     exprList.add(rel.getCluster().getRexBuilder().makeInputRef(fields.get(i).getType(), i));
     final int source = permutation.getSource(i);
     projectRefList.add(new RexLocalRef(source, fields.get(source).getType()));
   }
   final RexProgram program =
       new RexProgram(
           rel.getRowType(),
           exprList,
           projectRefList,
           null,
           rel.getCluster().getTypeFactory().createStructType(outputTypeList, outputNameList));
   return new CalcRel(
       rel.getCluster(),
       rel.getTraitSet(),
       rel,
       program.getOutputRowType(),
       program,
       Collections.<RelCollation>emptyList());
 }
示例#3
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  private static List<RelCollation> deduceMonotonicity(Prepare.PreparingTable table) {
    final List<RelCollation> collationList = new ArrayList<RelCollation>();

    // Deduce which fields the table is sorted on.
    int i = -1;
    for (RelDataTypeField field : table.getRowType().getFieldList()) {
      ++i;
      final SqlMonotonicity monotonicity = table.getMonotonicity(field.getName());
      if (monotonicity != SqlMonotonicity.NotMonotonic) {
        final RelFieldCollation.Direction direction =
            monotonicity.isDecreasing()
                ? RelFieldCollation.Direction.Descending
                : RelFieldCollation.Direction.Ascending;
        collationList.add(
            RelCollationImpl.of(
                new RelFieldCollation(i, direction, RelFieldCollation.NullDirection.UNSPECIFIED)));
      }
    }
    return collationList;
  }
示例#4
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 /**
  * Creates a relational expression which projects the output fields of a relational expression
  * according to a partial mapping.
  *
  * <p>A partial mapping is weaker than a permutation: every target has one source, but a source
  * may have 0, 1 or more than one targets. Usually the result will have fewer fields than the
  * source, unless some source fields are projected multiple times.
  *
  * <p>This method could optimize the result as {@link #permute} does, but does not at present.
  *
  * @param rel Relational expression
  * @param mapping Mapping from source fields to target fields. The mapping type must obey the
  *     constaints {@link MappingType#isMandatorySource()} and {@link
  *     MappingType#isSingleSource()}, as does {@link MappingType#InverseFunction}.
  * @param fieldNames Field names; if null, or if a particular entry is null, the name of the
  *     permuted field is used
  * @return relational expression which projects a subset of the input fields
  */
 public static RelNode projectMapping(RelNode rel, Mapping mapping, List<String> fieldNames) {
   assert mapping.getMappingType().isSingleSource();
   assert mapping.getMappingType().isMandatorySource();
   if (mapping.isIdentity()) {
     return rel;
   }
   final List<RelDataType> outputTypeList = new ArrayList<RelDataType>();
   final List<String> outputNameList = new ArrayList<String>();
   final List<RexNode> exprList = new ArrayList<RexNode>();
   final List<RexLocalRef> projectRefList = new ArrayList<RexLocalRef>();
   final List<RelDataTypeField> fields = rel.getRowType().getFieldList();
   for (int i = 0; i < fields.size(); i++) {
     final RelDataTypeField field = fields.get(i);
     exprList.add(rel.getCluster().getRexBuilder().makeInputRef(field.getType(), i));
   }
   for (int i = 0; i < mapping.getTargetCount(); i++) {
     int source = mapping.getSource(i);
     final RelDataTypeField sourceField = fields.get(source);
     outputTypeList.add(sourceField.getType());
     outputNameList.add(
         ((fieldNames == null) || (fieldNames.size() <= i) || (fieldNames.get(i) == null))
             ? sourceField.getName()
             : fieldNames.get(i));
     projectRefList.add(new RexLocalRef(source, sourceField.getType()));
   }
   final RexProgram program =
       new RexProgram(
           rel.getRowType(),
           exprList,
           projectRefList,
           null,
           rel.getCluster().getTypeFactory().createStructType(outputTypeList, outputNameList));
   return new CalcRel(
       rel.getCluster(),
       rel.getTraitSet(),
       rel,
       program.getOutputRowType(),
       program,
       Collections.<RelCollation>emptyList());
 }
示例#5
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    private List<RelCollation> deduceMonotonicity(SqlValidatorTable table) {
      final RelDataType rowType = table.getRowType();
      final List<RelCollation> collationList = new ArrayList<RelCollation>();

      // Deduce which fields the table is sorted on.
      int i = -1;
      for (RelDataTypeField field : rowType.getFieldList()) {
        ++i;
        final SqlMonotonicity monotonicity = table.getMonotonicity(field.getName());
        if (monotonicity != SqlMonotonicity.NOT_MONOTONIC) {
          final RelFieldCollation.Direction direction =
              monotonicity.isDecreasing()
                  ? RelFieldCollation.Direction.DESCENDING
                  : RelFieldCollation.Direction.ASCENDING;
          collationList.add(
              RelCollationImpl.of(
                  new RelFieldCollation(
                      i, direction, RelFieldCollation.NullDirection.UNSPECIFIED)));
        }
      }
      return collationList;
    }