Examples of org.eigenbase.sql.SqlOperator

org.eigenbase.sql.SqlOperator
A SqlOperator is a type of node in a SQL parse tree (it is NOT a node in a SQL parse tree). It includes functions, operators such as '=', and syntactic constructs such as 'case' statements. Operators may represent query-level expressions (e.g. {@link SqlSelectOperator} or row-levelexpressions (e.g. {@link org.eigenbase.sql.fun.SqlBetweenOperator}.
Operators have formal operands, meaning ordered (and optionally named) placeholders for the values they operate on. For example, the division operator takes two operands; the first is the numerator and the second is the denominator. In the context of subclass {@link SqlFunction}, formal operands are referred to as parameters.
When an operator is instantiated via a {@link SqlCall}, it is supplied with actual operands. For example, in the expression 3 / 5, the literal expression 3 is the actual operand corresponding to the numerator, and 5 is the actual operand corresponding to the denominator. In the context of SqlFunction, actual operands are referred to as arguments
In many cases, the formal/actual distinction is clear from context, in which case we drop these qualifiers.

      Map map = (Map) o;
      final String op = (String) map.get("op");
      if (op != null) {
        final List operands = (List) map.get("operands");
        final Object jsonType = map.get("type");
        final SqlOperator operator = toOp(op, map);
        final List<RexNode> rexOperands = toRexList(relInput, operands);
        RelDataType type;
        if (jsonType != null) {
          type = toType(cluster.getTypeFactory(), jsonType);
        } else {

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  public List<DrillFuncHolder> getMethods(String name) {
    return this.methods.get(name.toLowerCase());
  }


  public void register(DrillOperatorTable operatorTable) {
    SqlOperator op;
    for (Entry<String, Collection<DrillFuncHolder>> function : methods.asMap().entrySet()) {
      Set<Integer> argCounts = Sets.newHashSet();
      String name = function.getKey().toUpperCase();
      for (DrillFuncHolder f : function.getValue()) {
        if (argCounts.add(f.getParamCount())) {

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  private SqlKind getOp(RexCall call) {
    SqlKind op = call.getKind();


    if (call.getKind().equals(SqlKind.OTHER_FUNCTION)
        && SqlTypeUtil.inBooleanFamily(call.getType())) {
      SqlOperator sqlOp = call.getOperator();
      String opName = (sqlOp != null) ? sqlOp.getName() : "";
      if (opName.equalsIgnoreCase("in")) {
        op = SqlKind.IN;
      }
    }

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  }


  public static boolean isFlat(RexCall call) {
    boolean flat = false;
    if (call.operands != null && call.operands.size() > 2) {
      SqlOperator op = call.getOperator();
      if (op.getKind() == SqlKind.AND || op.getKind() == SqlKind.OR) {
        flat = true;
      }
    }


    return flat;

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    public ASTNode visitCall(RexCall call) {
      if (!deep) {
        return null;
      }


      SqlOperator op = call.getOperator();
      List<ASTNode> astNodeLst = new LinkedList<ASTNode>();
      if (op.kind == SqlKind.CAST) {
        HiveToken ht = TypeConverter.hiveToken(call.getType());
        ASTBuilder astBldr = ASTBuilder.construct(ht.type, ht.text);
        if (ht.args != null) {

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      // join reordering algo cant handle this anyway there is no advantage of
      // this.
      // So, bail out for now.
      throw new OptiqSemanticException("<=> is not yet supported for cbo.");
    }
    SqlOperator optiqOp = hiveToOptiq.get(hiveUdfName);
    if (optiqOp == null) {
      OptiqUDFInfo uInf = getUDFInfo(hiveUdfName, optiqArgTypes, optiqRetType);
      optiqOp = new SqlFunction(uInf.udfName, SqlKind.OTHER_FUNCTION, uInf.returnTypeInference,
          uInf.operandTypeInference, uInf.operandTypeChecker,
          SqlFunctionCategory.USER_DEFINED_FUNCTION);

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    expr = handleExplicitCast(func, childRexNodeLst);


    if (expr == null) {
      // This is not a cast; process the function.
      retType = TypeConverter.convert(func.getTypeInfo(), cluster.getTypeFactory());
      SqlOperator optiqOp = SqlFunctionConverter.getOptiqOperator(func.getFuncText(),
          func.getGenericUDF(), argTypeBldr.build(), retType);
      expr = cluster.getRexBuilder().makeCall(optiqOp, childRexNodeLst);
    } else {
      retType = expr.getType();
    }

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  public List<DrillFuncHolder> getMethods(String name) {
    return this.methods.get(name.toLowerCase());
  }


  public void register(DrillOperatorTable operatorTable) {
    SqlOperator op;
    for (Entry<String, Collection<DrillFuncHolder>> function : methods.asMap().entrySet()) {
      Set<Integer> argCounts = Sets.newHashSet();
      String name = function.getKey().toUpperCase();
      for (DrillFuncHolder f : function.getValue()) {
        if (argCounts.add(f.getParamCount())) {

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      Map map = (Map) o;
      final String op = (String) map.get("op");
      if (op != null) {
        final List operands = (List) map.get("operands");
        final Object jsonType = map.get("type");
        final SqlOperator operator = toOp(op, map);
        final List<RexNode> rexOperands = toRexList(relInput, operands);
        RelDataType type;
        if (jsonType != null) {
          type = toType(cluster.getTypeFactory(), jsonType);
        } else {

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Related Classes of org.eigenbase.sql.SqlOperator

org.apache.drill.exec.expr.fn.DrillFunctionRegistry

org.apache.hadoop.hive.ql.optimizer.optiq.stats.FilterSelectivityEstimator

org.apache.hadoop.hive.ql.optimizer.optiq.translator.ASTConverter

org.apache.hadoop.hive.ql.optimizer.optiq.translator.ASTConverter$RexVisitor

org.apache.hadoop.hive.ql.optimizer.optiq.translator.RexNodeConverter

org.apache.hadoop.hive.ql.optimizer.optiq.translator.SqlFunctionConverter

org.eigenbase.rel.RelJson

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