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/*
 * 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 com.facebook.presto.jdbc.internal.spi;

import com.facebook.presto.jdbc.internal.spi.connector.ConnectorNodePartitioningProvider;
import com.facebook.presto.jdbc.internal.spi.connector.ConnectorPartitioningHandle;
import com.facebook.presto.jdbc.internal.spi.connector.ConnectorSplitManager;

import java.util.ArrayList;
import java.util.List;
import java.util.Objects;

import static java.util.Collections.unmodifiableList;
import static java.util.Objects.requireNonNull;

/**
 * The partitioning of split groups in a table.
 * A table is partitioned on columns {C1,...,Cn} if rows with the same values
 * on the respective columns are always in the same split group.
 * 

* This class was previously name ConnectorNodePartitioning. * The new semantics is more flexible. * It enables expression of more sophisticated table organization. * Node partitioning is a form of partitioning between split groups, * where each split group contains all splits on a {@link Node}. *

* Unless the connector declares itself as supporting grouped scheduling in * {@link ConnectorSplitManager}, Presto engine treats all splits on a node * as a single split group. * As a result, the connector does not need to provide additional guarantee * as a result of this change for previously-declared node partitioning. * Therefore, this change in SPI is backward compatible. *

* For now, all splits in each split group must be assigned the same {@link Node} * by {@link ConnectorNodePartitioningProvider}. * With future changes to the engine, connectors will no longer be required * to declare a mapping from split groups to nodes. * Artificially requiring such a mapping regardless of whether the engine can * take advantage of the TablePartitioning negatively affects performance. */ public class ConnectorTablePartitioning { private final ConnectorPartitioningHandle partitioningHandle; private final List partitioningColumns; public ConnectorTablePartitioning(ConnectorPartitioningHandle partitioningHandle, List partitioningColumns) { this.partitioningHandle = requireNonNull(partitioningHandle, "partitioningHandle is null"); this.partitioningColumns = unmodifiableList(new ArrayList<>(requireNonNull(partitioningColumns, "partitioningColumns is null"))); } /** * A handle to the partitioning scheme used to divide the table across worker nodes. */ public ConnectorPartitioningHandle getPartitioningHandle() { return partitioningHandle; } /** * The columns used to partition the table across the worker nodes. An empty list means * the table is entirely contained on a single worker. *

* If the table is node partitioned, the connector guarantees that each combination of values for * the distributed columns will be contained within a single worker. */ public List getPartitioningColumns() { return partitioningColumns; } @Override public boolean equals(Object o) { if (this == o) { return true; } if (o == null || getClass() != o.getClass()) { return false; } ConnectorTablePartitioning that = (ConnectorTablePartitioning) o; return Objects.equals(partitioningHandle, that.partitioningHandle) && Objects.equals(partitioningColumns, that.partitioningColumns); } @Override public int hashCode() { return Objects.hash(partitioningHandle, partitioningColumns); } }





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