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org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecPythonCorrelate Maven / Gradle / Ivy

/*
 * 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.flink.table.planner.plan.nodes.exec.stream;

import org.apache.flink.table.data.RowData;
import org.apache.flink.table.planner.plan.nodes.exec.InputProperty;
import org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecPythonCorrelate;
import org.apache.flink.table.runtime.operators.join.FlinkJoinType;
import org.apache.flink.table.types.logical.RowType;

import org.apache.calcite.rex.RexCall;
import org.apache.calcite.rex.RexNode;

/** Stream exec node which matches along with join a Python user defined table function. */
public class StreamExecPythonCorrelate extends CommonExecPythonCorrelate
        implements StreamExecNode {
    public StreamExecPythonCorrelate(
            FlinkJoinType joinType,
            RexCall invocation,
            RexNode condition,
            InputProperty inputProperty,
            RowType outputType,
            String description) {
        super(joinType, invocation, condition, inputProperty, outputType, description);
    }
}




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