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This module contains the Table/SQL API for writing table programs
within the table ecosystem using the Java programming language.
/*
* 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 org.apache.flink.table.operations;
import org.apache.flink.annotation.Internal;
import org.apache.flink.table.catalog.ResolvedSchema;
import org.apache.flink.table.expressions.ResolvedExpression;
import java.util.Arrays;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/** Table operation that joins two relational operations based on given condition. */
@Internal
public class JoinQueryOperation implements QueryOperation {
private final QueryOperation left;
private final QueryOperation right;
private final JoinType joinType;
private final ResolvedExpression condition;
private final boolean correlated;
private final ResolvedSchema resolvedSchema;
/** Specifies how the two Tables should be joined. */
@Internal
public enum JoinType {
INNER,
LEFT_OUTER,
RIGHT_OUTER,
FULL_OUTER
}
public JoinQueryOperation(
QueryOperation left,
QueryOperation right,
JoinType joinType,
ResolvedExpression condition,
boolean correlated) {
this.left = left;
this.right = right;
this.joinType = joinType;
this.condition = condition;
this.correlated = correlated;
this.resolvedSchema = calculateResultingSchema(left, right);
}
private ResolvedSchema calculateResultingSchema(QueryOperation left, QueryOperation right) {
final ResolvedSchema leftSchema = left.getResolvedSchema();
final ResolvedSchema rightSchema = right.getResolvedSchema();
return ResolvedSchema.physical(
Stream.concat(
leftSchema.getColumnNames().stream(),
rightSchema.getColumnNames().stream())
.collect(Collectors.toList()),
Stream.concat(
leftSchema.getColumnDataTypes().stream(),
rightSchema.getColumnDataTypes().stream())
.collect(Collectors.toList()));
}
public JoinType getJoinType() {
return joinType;
}
public ResolvedExpression getCondition() {
return condition;
}
public boolean isCorrelated() {
return correlated;
}
@Override
public ResolvedSchema getResolvedSchema() {
return resolvedSchema;
}
@Override
public String asSummaryString() {
Map args = new LinkedHashMap<>();
args.put("joinType", joinType);
args.put("condition", condition);
args.put("correlated", correlated);
return OperationUtils.formatWithChildren(
"Join", args, getChildren(), Operation::asSummaryString);
}
@Override
public String asSerializableString() {
return String.format(
"SELECT %s FROM (%s\n) %s JOIN %s ON %s",
OperationUtils.formatSelectColumns(resolvedSchema),
OperationUtils.indent(left.asSerializableString()),
joinType.toString().replaceAll("_", " "),
rightToSerializable(),
condition.asSerializableString());
}
private String rightToSerializable() {
final StringBuilder s = new StringBuilder();
if (!correlated) {
s.append("(");
}
s.append(OperationUtils.indent(right.asSerializableString()));
if (!correlated) {
s.append("\n)");
}
return s.toString();
}
@Override
public List getChildren() {
return Arrays.asList(left, right);
}
@Override
public T accept(QueryOperationVisitor visitor) {
return visitor.visit(this);
}
}