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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to you under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.hazelcast.org.apache.calcite.sql.fun;

import com.hazelcast.org.apache.calcite.rel.type.RelDataType;
import com.hazelcast.org.apache.calcite.rel.type.RelDataTypeFactory;
import com.hazelcast.org.apache.calcite.rel.type.RelDataTypeField;
import com.hazelcast.org.apache.calcite.sql.ExplicitOperatorBinding;
import com.hazelcast.org.apache.calcite.sql.SqlBinaryOperator;
import com.hazelcast.org.apache.calcite.sql.SqlCall;
import com.hazelcast.org.apache.calcite.sql.SqlCallBinding;
import com.hazelcast.org.apache.calcite.sql.SqlKind;
import com.hazelcast.org.apache.calcite.sql.SqlNode;
import com.hazelcast.org.apache.calcite.sql.SqlNodeList;
import com.hazelcast.org.apache.calcite.sql.type.ComparableOperandTypeChecker;
import com.hazelcast.org.apache.calcite.sql.type.InferTypes;
import com.hazelcast.org.apache.calcite.sql.type.OperandTypes;
import com.hazelcast.org.apache.calcite.sql.type.ReturnTypes;
import com.hazelcast.org.apache.calcite.sql.type.SqlTypeName;
import com.hazelcast.org.apache.calcite.sql.type.SqlTypeUtil;
import com.hazelcast.org.apache.calcite.sql.validate.SqlValidator;
import com.hazelcast.org.apache.calcite.sql.validate.SqlValidatorImpl;
import com.hazelcast.org.apache.calcite.sql.validate.SqlValidatorScope;
import com.hazelcast.org.apache.calcite.util.Litmus;

import com.hazelcast.com.google.common.collect.ImmutableList;

import java.util.ArrayList;
import java.util.List;

import static com.hazelcast.org.apache.calcite.util.Static.RESOURCE;

/**
 * Definition of the SQL IN operator, which tests for a value's
 * membership in a sub-query or a list of values.
 */
public class SqlInOperator extends SqlBinaryOperator {
  //~ Instance fields --------------------------------------------------------

  //~ Constructors -----------------------------------------------------------

  /**
   * Creates a SqlInOperator.
   *
   * @param kind IN or NOT IN
   */
  SqlInOperator(SqlKind kind) {
    this(kind.sql, kind);
    assert kind == SqlKind.IN || kind == SqlKind.NOT_IN;
  }

  protected SqlInOperator(String name, SqlKind kind) {
    super(name, kind,
        32,
        true,
        ReturnTypes.BOOLEAN_NULLABLE,
        InferTypes.FIRST_KNOWN,
        null);
  }

  //~ Methods ----------------------------------------------------------------

  @Deprecated // to be removed before 2.0
  public boolean isNotIn() {
    return kind == SqlKind.NOT_IN;
  }

  @Override public boolean validRexOperands(int count, Litmus litmus) {
    if (count == 0) {
      return litmus.fail("wrong operand count {} for {}", count, this);
    }
    return litmus.succeed();
  }

  public RelDataType deriveType(
      SqlValidator validator,
      SqlValidatorScope scope,
      SqlCall call) {
    final List operands = call.getOperandList();
    assert operands.size() == 2;
    final SqlNode left = operands.get(0);
    final SqlNode right = operands.get(1);

    final RelDataTypeFactory typeFactory = validator.getTypeFactory();
    RelDataType leftType = validator.deriveType(scope, left);
    RelDataType rightType;

    // Derive type for RHS.
    if (right instanceof SqlNodeList) {
      // Handle the 'IN (expr, ...)' form.
      List rightTypeList = new ArrayList<>();
      SqlNodeList nodeList = (SqlNodeList) right;
      for (int i = 0; i < nodeList.size(); i++) {
        SqlNode node = nodeList.get(i);
        RelDataType nodeType = validator.deriveType(scope, node);
        rightTypeList.add(nodeType);
      }
      rightType = typeFactory.leastRestrictive(rightTypeList);

      // First check that the expressions in the IN list are compatible
      // with each other. Same rules as the VALUES operator (per
      // SQL:2003 Part 2 Section 8.4, ).
      if (null == rightType && validator.config().typeCoercionEnabled()) {
        // Do implicit type cast if it is allowed to.
        rightType = validator.getTypeCoercion().getWiderTypeFor(rightTypeList, true);
      }
      if (null == rightType) {
        throw validator.newValidationError(right,
            RESOURCE.incompatibleTypesInList());
      }

      // Record the RHS type for use by SqlToRelConverter.
      ((SqlValidatorImpl) validator).setValidatedNodeType(nodeList, rightType);
    } else {
      // Handle the 'IN (query)' form.
      rightType = validator.deriveType(scope, right);
    }
    SqlCallBinding callBinding = new SqlCallBinding(validator, scope, call);
    // Coerce type first.
    if (callBinding.isTypeCoercionEnabled()) {
      boolean coerced = callBinding.getValidator().getTypeCoercion()
          .inOperationCoercion(callBinding);
      if (coerced) {
        // Update the node data type if we coerced any type.
        leftType = validator.deriveType(scope, call.operand(0));
        rightType = validator.deriveType(scope, call.operand(1));
      }
    }

    // Now check that the left expression is compatible with the
    // type of the list. Same strategy as the '=' operator.
    // Normalize the types on both sides to be row types
    // for the purposes of compatibility-checking.
    RelDataType leftRowType =
        SqlTypeUtil.promoteToRowType(
            typeFactory,
            leftType,
            null);
    RelDataType rightRowType =
        SqlTypeUtil.promoteToRowType(
            typeFactory,
            rightType,
            null);

    final ComparableOperandTypeChecker checker =
        (ComparableOperandTypeChecker)
            OperandTypes.COMPARABLE_UNORDERED_COMPARABLE_UNORDERED;
    if (!checker.checkOperandTypes(
        new ExplicitOperatorBinding(
            callBinding,
            ImmutableList.of(leftRowType, rightRowType)), callBinding)) {
      throw validator.newValidationError(call,
          RESOURCE.incompatibleValueType(SqlStdOperatorTable.IN.getName()));
    }

    // Result is a boolean, nullable if there are any nullable types
    // on either side.
    return typeFactory.createTypeWithNullability(
        typeFactory.createSqlType(SqlTypeName.BOOLEAN),
        anyNullable(leftRowType.getFieldList())
        || anyNullable(rightRowType.getFieldList()));
  }

  private static boolean anyNullable(List fieldList) {
    for (RelDataTypeField field : fieldList) {
      if (field.getType().isNullable()) {
        return true;
      }
    }
    return false;
  }

  public boolean argumentMustBeScalar(int ordinal) {
    // Argument #0 must be scalar, argument #1 can be a list (1, 2) or
    // a query (select deptno from emp). So, only coerce argument #0 into
    // a scalar sub-query. For example, in
    //  select * from emp
    //  where (select count(*) from dept) in (select deptno from dept)
    // we should coerce the LHS to a scalar.
    return ordinal == 0;
  }
}




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