spark MicroBatchStream 源码
spark MicroBatchStream 代码
文件路径：/sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/streaming/MicroBatchStream.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.streaming;
import org.apache.spark.annotation.Evolving;
import org.apache.spark.sql.connector.read.InputPartition;
import org.apache.spark.sql.connector.read.PartitionReader;
import org.apache.spark.sql.connector.read.PartitionReaderFactory;
import org.apache.spark.sql.connector.read.Scan;
/**
* A {@link SparkDataStream} for streaming queries with micro-batch mode.
*
* @since 3.0.0
*/
@Evolving
public interface MicroBatchStream extends SparkDataStream {
/**
* Returns the most recent offset available.
*/
Offset latestOffset();
/**
* Returns a list of {@link InputPartition input partitions} given the start and end offsets. 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 stream is likely configured with a filter
* and is responsible for creating splits for that filter, which is not a full scan.
* </p>
* <p>
* This method will be called multiple times, to launch one Spark job for each micro-batch in this
* data stream.
* </p>
*/
InputPartition[] planInputPartitions(Offset start, Offset end);
/**
* Returns a factory to create a {@link PartitionReader} for each {@link InputPartition}.
*/
PartitionReaderFactory createReaderFactory();
}
相关信息
相关文章
spark ContinuousPartitionReader 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦