I have insert to s3 6bil rows table:
```
INSERT INTO FUNCTION
s3('https://s3.us-east-1.amazonaws.com/my-bucket/data.csv', 'DFGHJ', 'FGHJIJH, 'CSVWithNames', 'time DateTime, exchangeId UInt16, pairId UInt16, id String, price Decimal(38, 18), volume Decimal(38, 18)')
SELECT * FROM trade;
```
but it fails trying to upload part 10001 while aws s3 upload [supports](https://docs.aws.amazon.com/AmazonS3/latest/userguide/qfacts.html) only 10k parts.

I had to export this select into CSV 600GB file on the disk and then perform successful `aws s3 cp data.csv s3://my-bucket/data.csv`

I expected Clickhouse would do it on his own successfully. 

┌─version()─┐
│ 22.1.3.7  │
└───────────┘

const String rename = "rename";
        const String hardlink = "hardlink";
        for (const auto & row : list_result.GetContents())
        {
            const String & key = row.GetKey();
            const auto [revision, operation] = extractRevisionAndOperationFromKey(key);
            if (revision == UNKNOWN_REVISION)
            {
                LOG_WARNING(log, "Skip key {} with unknown revision", key);
                continue;
            }
            
            
            if (revision > restore_information.revision)
                return false;
            
            if (send_metadata)
                revision_counter = revision - 1;
            auto object_metadata = headObject(restore_information.source_bucket, key).GetMetadata();
            if (operation == rename)
            {
                auto from_path = object_metadata["from_path"];
                auto to_path = object_metadata["to_path"];
                if (exists(from_path))
                {
                    moveFile(from_path, to_path, send_metadata);
                    LOG_TRACE(log, "Revision {}. Restored rename {} -> {}", revision, from_path, to_path);
                    if (restore_information.detached && isDirectory(to_path))
                    {