spark Batch 源码
spark Batch 代码
文件路径：/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/Batch.java
/*
* 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.spark.sql.connector.read;
import org.apache.spark.annotation.Evolving;
/**
* A physical representation of a data source scan for batch queries. This interface is used to
* provide physical information, like how many partitions the scanned data has, and how to read
* records from the partitions.
*
* @since 3.0.0
*/
@Evolving
public interface Batch {
/**
* Returns a list of {@link InputPartition input partitions}. Each {@link InputPartition}
* represents a data split that can be processed by one Spark task. The number of input
* partitions returned here is the same as the number of RDD partitions this scan outputs.
* <p>
* If the {@link Scan} supports filter pushdown, this Batch is likely configured with a filter
* and is responsible for creating splits for that filter, which is not a full scan.
* <p>
* This method will be called only once during a data source scan, to launch one Spark job.
*/
InputPartition[] planInputPartitions();
/**
* Returns a factory to create a {@link PartitionReader} for each {@link InputPartition}.
*/
PartitionReaderFactory createReaderFactory();
}
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