org.projectnessie.versioned.tiered.gc.ValueRetriever Maven / Gradle / Ivy
/*
* Copyright (C) 2020 Dremio
*
* Licensed 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.projectnessie.versioned.tiered.gc;
import java.util.List;
import java.util.Optional;
import java.util.function.Function;
import java.util.function.Predicate;
import java.util.function.Supplier;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.projectnessie.versioned.store.Store;
import org.projectnessie.versioned.store.ValueType;
import org.projectnessie.versioned.tiered.BaseValue;
/** Utility class used to extract values from underlying store and convert to a Spark Dataset. */
public class ValueRetriever, OUT> {
private final Supplier supplier;
private final ValueType valueType;
private final Function, OUT> builder;
private final Class clazz;
/** Construct a retriever. */
public ValueRetriever(
Supplier supplier,
ValueType valueType,
Function, OUT> builder,
Class clazz) {
super();
this.supplier = supplier;
this.valueType = valueType;
this.builder = builder;
this.clazz = clazz;
}
private Stream stream() {
return supplier.get().getValues(valueType).map(builder::apply);
}
/** Get a dataset from this retriever. */
public Dataset get(SparkSession spark, Optional> filter) {
List out = this.stream().filter(filter.orElse(t -> true)).collect(Collectors.toList());
return spark.createDataset(out, Encoders.bean(clazz));
}
public static , OUT> Dataset dataset(
Supplier supplier,
ValueType valueType,
Class clazz,
Optional> filter,
SparkSession spark,
Function, OUT> converter) {
return new ValueRetriever(supplier, valueType, converter, clazz).get(spark, filter);
}
}
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