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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.api.internal;
import org.apache.flink.annotation.Internal;
import org.apache.flink.table.api.DataTypes;
import org.apache.flink.table.api.ResultKind;
import org.apache.flink.table.catalog.ResolvedSchema;
import org.apache.flink.table.types.DataType;
import org.apache.flink.table.utils.print.PrintStyle;
import org.apache.flink.types.Row;
import java.util.Arrays;
import java.util.stream.Collectors;
/** Utilities to build {@link TableResultInternal}. */
@Internal
public class TableResultUtils {
/**
* Build a {@link TableResultInternal} for {@code String[]} values with single column.
*
* @param columnName the column name of the result values.
* @param values the string values of the result.
*/
public static TableResultInternal buildStringArrayResult(String columnName, String[] values) {
return buildTableResult(
new String[] {columnName},
new DataType[] {DataTypes.STRING()},
Arrays.stream(values).map((c) -> new String[] {c}).toArray(String[][]::new));
}
public static TableResultInternal buildTableResult(
String[] headers, DataType[] types, Object[][] rows) {
ResolvedSchema schema = ResolvedSchema.physical(headers, types);
ResultProvider provider =
new StaticResultProvider(
Arrays.stream(rows).map(Row::of).collect(Collectors.toList()));
return TableResultImpl.builder()
.resultKind(ResultKind.SUCCESS_WITH_CONTENT)
.schema(ResolvedSchema.physical(headers, types))
.resultProvider(provider)
.setPrintStyle(
PrintStyle.tableauWithDataInferredColumnWidths(
schema,
provider.getRowDataStringConverter(),
Integer.MAX_VALUE,
true,
false))
.build();
}
}