[jira] [Created] (FLINK-19911) Read checkpoint stream with buffer to speedup restore

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[jira] [Created] (FLINK-19911) Read checkpoint stream with buffer to speedup restore

Shang Yuanchun (Jira)
fanrui created FLINK-19911:
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             Summary: Read checkpoint stream with buffer to speedup restore
                 Key: FLINK-19911
                 URL: https://issues.apache.org/jira/browse/FLINK-19911
             Project: Flink
          Issue Type: Improvement
          Components: Runtime / Checkpointing, Runtime / State Backends
    Affects Versions: 1.12.0, 1.11.3, 1.13.0
         Environment: Flink version: 1.10
StateBackend : FsStateBackend
code: Flink SQL count(distinct userId)
uv: 10 million
State size: 200M
TM total memory: 16G
Parallelism: 1
            Reporter: fanrui


Heap StateBackend needs to serialize each Java Object into the file system during snapshot. RocksDB StateBackend's RocksFullSnapshotStrategy needs to read kvs from RocksDB and write them to the file system in the snapshot.

The above two cases involve a lot of small io, not large io, frequent small io is not friendly to disk. Therefore, the buffer is used in the checkpoint snapshot writing process of the file system. For details, refer to the buffer of {{FsCheckpointStreamFactory.FsCheckpointStateOutputStream}}.

There will be many small IOs in the restore process, but restore does not have a buffer. So I added a buffer and tested it based on Flink job.
h2. Flink Job environment:
Flink version: 1.10
StateBackend : FsStateBackend
code: Flink SQL count(distinct userId)
uv: 10 million
State size: 200M
TM total memory: 16G
Parallelism: 1
It takes 33.1s to restore without read buffer, and 12.8s to restore with read buffer.
h2. How to do it?

Use FSDataBufferedInputStream to wrap fsDataInputStream in HeapRestoreOperation#restore,code:
{code:java}
FSDataInputStream fsDataInputStream = keyGroupsStateHandle.openInputStream();
FSDataInputStream bufferedInputStream = new FSDataBufferedInputStream(fsDataInputStream);
{code}
 



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