Beispiel #1
0
 /**
  * Creates a relational expression which projects an array of expressions, and optionally
  * optimizes.
  *
  * <p>The result may not be a {@link ProjectRel}. If the projection is trivial, <code>child</code>
  * is returned directly; and future versions may return other formulations of expressions, such as
  * {@link CalcRel}.
  *
  * @param child input relational expression
  * @param exprs list of expressions for the input columns
  * @param fieldNames aliases of the expressions, or null to generate
  * @param optimize Whether to return <code>child</code> unchanged if the projections are trivial.
  */
 public static RelNode createProject(
     RelNode child, List<RexNode> exprs, List<String> fieldNames, boolean optimize) {
   final RelOptCluster cluster = child.getCluster();
   final RexProgram program =
       RexProgram.create(child.getRowType(), exprs, null, fieldNames, cluster.getRexBuilder());
   final List<RelCollation> collationList = program.getCollations(child.getCollationList());
   if (DeprecateProjectAndFilter) {
     return new CalcRel(
         cluster, child.getTraitSet(), child, program.getOutputRowType(), program, collationList);
   } else {
     final RelDataType rowType =
         RexUtil.createStructType(cluster.getTypeFactory(), exprs, fieldNames);
     if (optimize && RemoveTrivialProjectRule.isIdentity(exprs, rowType, child.getRowType())) {
       return child;
     }
     return new ProjectRel(
         cluster,
         cluster.traitSetOf(
             collationList.isEmpty() ? RelCollationImpl.EMPTY : collationList.get(0)),
         child,
         exprs,
         rowType,
         ProjectRelBase.Flags.Boxed);
   }
 }
Beispiel #2
0
 /**
  * Creates a relational expression which projects an array of expressions, and optionally
  * optimizes.
  *
  * <p>The result may not be a {@link ProjectRel}. If the projection is trivial, <code>child</code>
  * is returned directly; and future versions may return other formulations of expressions, such as
  * {@link CalcRel}.
  *
  * @param child input relational expression
  * @param exprs list of expressions for the input columns
  * @param fieldNames aliases of the expressions, or null to generate
  * @param optimize Whether to return <code>child</code> unchanged if the projections are trivial.
  */
 public static RelNode createProject(
     RelNode child, List<RexNode> exprs, List<String> fieldNames, boolean optimize) {
   final RelOptCluster cluster = child.getCluster();
   final RexProgram program =
       RexProgram.create(child.getRowType(), exprs, null, fieldNames, cluster.getRexBuilder());
   final List<RelCollation> collationList = program.getCollations(child.getCollationList());
   if (DEPRECATE_PROJECT_AND_FILTER) {
     return new CalcRel(
         cluster, child.getTraitSet(), child, program.getOutputRowType(), program, collationList);
   } else {
     final RelDataType rowType =
         RexUtil.createStructType(
             cluster.getTypeFactory(),
             exprs,
             fieldNames == null
                 ? null
                 : SqlValidatorUtil.uniquify(fieldNames, SqlValidatorUtil.F_SUGGESTER));
     if (optimize && RemoveTrivialProjectRule.isIdentity(exprs, rowType, child.getRowType())) {
       return child;
     }
     return new ProjectRel(
         cluster,
         cluster.traitSetOf(
             collationList.isEmpty() ? RelCollationImpl.EMPTY : collationList.get(0)),
         child,
         exprs,
         rowType,
         ProjectRelBase.Flags.BOXED);
   }
 }
Beispiel #3
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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());
 }
Beispiel #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());
 }
Beispiel #5
0
  /**
   * Returns a relational expression which has the same fields as the underlying expression, but the
   * fields have different names.
   *
   * @param rel Relational expression
   * @param fieldNames Field names
   * @return Renamed relational expression
   */
  public static RelNode createRename(RelNode rel, List<String> fieldNames) {
    final List<RelDataTypeField> fields = rel.getRowType().getFieldList();
    assert fieldNames.size() == fields.size();
    final List<Pair<RexNode, String>> refs =
        new AbstractList<Pair<RexNode, String>>() {
          public int size() {
            return fields.size();
          }

          public Pair<RexNode, String> get(int index) {
            return RexInputRef.of2(index, fields);
          }
        };
    return createProject(rel, refs, true);
  }
Beispiel #6
0
 /**
  * Creates a relational expression which filters according to a given condition, returning the
  * same fields as its input.
  *
  * @param child Child relational expression
  * @param condition Condition
  * @return Relational expression
  */
 public static RelNode createFilter(RelNode child, RexNode condition) {
   if (DeprecateProjectAndFilter) {
     final RelOptCluster cluster = child.getCluster();
     RexProgramBuilder builder =
         new RexProgramBuilder(child.getRowType(), cluster.getRexBuilder());
     builder.addIdentity();
     builder.addCondition(condition);
     final RexProgram program = builder.getProgram();
     return new CalcRel(
         cluster,
         child.getTraitSet(),
         child,
         program.getOutputRowType(),
         program,
         Collections.<RelCollation>emptyList());
   } else {
     return new FilterRel(child.getCluster(), child, condition);
   }
 }
  public Boolean areColumnsUnique(JoinRelBase rel, BitSet columns, boolean ignoreNulls) {
    if (columns.cardinality() == 0) {
      return false;
    }

    final RelNode left = rel.getLeft();
    final RelNode right = rel.getRight();

    // Divide up the input column mask into column masks for the left and
    // right sides of the join
    BitSet leftColumns = new BitSet();
    BitSet rightColumns = new BitSet();
    int nLeftColumns = left.getRowType().getFieldCount();
    for (int bit : BitSets.toIter(columns)) {
      if (bit < nLeftColumns) {
        leftColumns.set(bit);
      } else {
        rightColumns.set(bit - nLeftColumns);
      }
    }

    // If the original column mask contains columns from both the left and
    // right hand side, then the columns are unique if and only if they're
    // unique for their respective join inputs
    Boolean leftUnique = RelMetadataQuery.areColumnsUnique(left, leftColumns, ignoreNulls);
    Boolean rightUnique = RelMetadataQuery.areColumnsUnique(right, rightColumns, ignoreNulls);
    if ((leftColumns.cardinality() > 0) && (rightColumns.cardinality() > 0)) {
      if ((leftUnique == null) || (rightUnique == null)) {
        return null;
      } else {
        return leftUnique && rightUnique;
      }
    }

    // If we're only trying to determine uniqueness for columns that
    // originate from one join input, then determine if the equijoin
    // columns from the other join input are unique.  If they are, then
    // the columns are unique for the entire join if they're unique for
    // the corresponding join input, provided that input is not null
    // generating.
    final JoinInfo joinInfo = rel.analyzeCondition();
    if (leftColumns.cardinality() > 0) {
      if (rel.getJoinType().generatesNullsOnLeft()) {
        return false;
      }
      Boolean rightJoinColsUnique =
          RelMetadataQuery.areColumnsUnique(right, joinInfo.rightSet(), ignoreNulls);
      if ((rightJoinColsUnique == null) || (leftUnique == null)) {
        return null;
      }
      return rightJoinColsUnique && leftUnique;
    } else if (rightColumns.cardinality() > 0) {
      if (rel.getJoinType().generatesNullsOnRight()) {
        return false;
      }
      Boolean leftJoinColsUnique =
          RelMetadataQuery.areColumnsUnique(left, joinInfo.leftSet(), ignoreNulls);
      if ((leftJoinColsUnique == null) || (rightUnique == null)) {
        return null;
      }
      return leftJoinColsUnique && rightUnique;
    }

    throw new AssertionError();
  }