We use clickhosue version 21.12.2.17 before.It works well

But we found that after upgrade to 22.3.3, the memory of clickhouse used grow up daily .

I don't know if this is a memory overflow

here is the promethues metric 'ClickHouseMetrics_MemoryTracking'  duration last 15days

![image](https://user-images.githubusercontent.com/8294900/163744096-80270f73-becd-47ce-91b7-c6a96f13c1b6.png)

and I restarted cknode1 at 4.14 ,you can see it come down and rising again.

And here is some sql and result I have run for diagnosis。

![image](https://user-images.githubusercontent.com/8294900/163744418-251c86d8-832c-4aff-aa1a-6e565d47d196.png)

![image](https://user-images.githubusercontent.com/8294900/163744455-73813554-784a-4df6-803e-5ef49dbf1776.png)

![image](https://user-images.githubusercontent.com/8294900/163744529-50c4e359-feb7-4499-9449-0efc1c75942f.png)

![image](https://user-images.githubusercontent.com/8294900/163744587-c51e3ba3-6925-4591-b15d-bb0e0262af8c.png)

we use dict and MaterializedView . no living view.

we have tried  'system drop mark cache '  and change 'max_bytes_before_external_group_by' to '6g'.Not work

Is there anyting else  I can do?





std::shared_ptr<const Aws::S3::S3Client> client_ptr_,
    const String & bucket_,
    const String & key_,
    const S3Settings::ReadWriteSettings & s3_settings_,
    std::optional<std::map<String, String>> object_metadata_,
    size_t buffer_size_,
    ScheduleFunc schedule_,
    const WriteSettings & write_settings_)
    : BufferWithOwnMemory<WriteBuffer>(buffer_size_, nullptr, 0)
    , bucket(bucket_)
    , key(key_)
    , client_ptr(std::move(client_ptr_))
    , upload_part_size(s3_settings_.min_upload_part_size)
    , s3_settings(s3_settings_)
    , object_metadata(std::move(object_metadata_))
    , schedule(std::move(schedule_))
    , write_settings(write_settings_)
{
    allocateBuffer();
}
void WriteBufferFromS3::nextImpl()