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https://issues.apache.org/jira/browse/FLINK-6364?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15993350#comment-15993350
 ] 

ASF GitHub Bot commented on FLINK-6364:
---------------------------------------

Github user StefanRRichter commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3801#discussion_r114318030
  
    --- Diff: 
flink-contrib/flink-statebackend-rocksdb/src/main/java/org/apache/flink/contrib/streaming/state/RocksDBKeyedStateHandle.java
 ---
    @@ -0,0 +1,209 @@
    +/*
    + * 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.flink.contrib.streaming.state;
    +
    +import org.apache.flink.api.common.JobID;
    +import org.apache.flink.runtime.state.CompositeStateHandle;
    +import org.apache.flink.runtime.state.KeyGroupRange;
    +import org.apache.flink.runtime.state.KeyedStateHandle;
    +import org.apache.flink.runtime.state.SharedStateHandle;
    +import org.apache.flink.runtime.state.SharedStateRegistry;
    +import org.apache.flink.runtime.state.StateUtil;
    +import org.apache.flink.runtime.state.StreamStateHandle;
    +import org.apache.flink.util.Preconditions;
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +import java.util.Map;
    +import java.util.Set;
    +
    +/**
    + * The handle to states in incremental snapshots taken by {@link 
RocksDBKeyedStateBackend}
    + */
    +public class RocksDBKeyedStateHandle implements KeyedStateHandle, 
CompositeStateHandle {
    +
    +   private static final Logger LOG = 
LoggerFactory.getLogger(RocksDBKeyedStateHandle.class);
    +
    +   private static final long serialVersionUID = -8328808513197388231L;
    +
    +   private final JobID jobId;
    +
    +   private final String operatorIdentifier;
    +
    +   private final KeyGroupRange keyGroupRange;
    +
    +   private final Set<String> newSstFileNames;
    +
    +   private final Map<String, StreamStateHandle> sstFiles;
    +
    +   private final Map<String, StreamStateHandle> miscFiles;
    +
    +   private final StreamStateHandle metaStateHandle;
    +
    +   private boolean registered;
    +
    +   RocksDBKeyedStateHandle(
    +                   JobID jobId,
    +                   String operatorIdentifier,
    +                   KeyGroupRange keyGroupRange,
    +                   Set<String> newSstFileNames,
    +                   Map<String, StreamStateHandle> sstFiles,
    +                   Map<String, StreamStateHandle> miscFiles,
    +                   StreamStateHandle metaStateHandle) {
    +
    +           this.jobId = jobId;
    --- End diff --
    
    We could check for some notNull preconditions in the ctor.


> Implement incremental checkpointing in RocksDBStateBackend
> ----------------------------------------------------------
>
>                 Key: FLINK-6364
>                 URL: https://issues.apache.org/jira/browse/FLINK-6364
>             Project: Flink
>          Issue Type: Sub-task
>          Components: State Backends, Checkpointing
>            Reporter: Xiaogang Shi
>            Assignee: Xiaogang Shi
>
> {{RocksDBStateBackend}} is well suited for incremental checkpointing because 
> RocksDB is base on LSM trees,  which record updates in new sst files and all 
> sst files are immutable. By only materializing those new sst files, we can 
> significantly improve the performance of checkpointing.



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