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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
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 */
package org.apache.spark.sql.catalyst.analysis

import org.apache.paimon.CoreOptions
import org.apache.paimon.spark.commands.UpdatePaimonTableCommand

import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, UpdateTable}
import org.apache.spark.sql.catalyst.rules.Rule

object PaimonUpdateTable extends Rule[LogicalPlan] with RowLevelHelper {

  override val operation: RowLevelOp = Update

  override def apply(plan: LogicalPlan): LogicalPlan = {
    plan.resolveOperators {
      case u @ UpdateTable(PaimonRelation(table), assignments, _) if u.resolved =>
        checkPaimonTable(table)

        val primaryKeys = table.properties().get(CoreOptions.PRIMARY_KEY.key).split(",")
        if (!validUpdateAssignment(u.table.outputSet, primaryKeys, assignments)) {
          throw new RuntimeException("Can't update the primary key column.")
        }

        UpdatePaimonTableCommand(u)
    }
  }
}




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