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A table format for huge analytic datasets
/*
* 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.iceberg.spark;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.iceberg.ScanTask;
import org.apache.iceberg.Table;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
import org.apache.iceberg.relocated.com.google.common.collect.Maps;
import org.apache.iceberg.util.Pair;
public class ScanTaskSetManager {
private static final ScanTaskSetManager INSTANCE = new ScanTaskSetManager();
private final Map, List extends ScanTask>> tasksMap =
Maps.newConcurrentMap();
private ScanTaskSetManager() {}
public static ScanTaskSetManager get() {
return INSTANCE;
}
public void stageTasks(Table table, String setId, List tasks) {
Preconditions.checkArgument(
tasks != null && !tasks.isEmpty(), "Cannot stage null or empty tasks");
Pair id = toId(table, setId);
tasksMap.put(id, tasks);
}
@SuppressWarnings("unchecked")
public List fetchTasks(Table table, String setId) {
Pair id = toId(table, setId);
return (List) tasksMap.get(id);
}
@SuppressWarnings("unchecked")
public List removeTasks(Table table, String setId) {
Pair id = toId(table, setId);
return (List) tasksMap.remove(id);
}
public Set fetchSetIds(Table table) {
return tasksMap.keySet().stream()
.filter(e -> e.first().equals(Spark3Util.baseTableUUID(table)))
.map(Pair::second)
.collect(Collectors.toSet());
}
private Pair toId(Table table, String setId) {
return Pair.of(Spark3Util.baseTableUUID(table), setId);
}
}