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  │
└───────────┘

{
    if (distributed_processing)
    {
        return std::make_shared<StorageS3Source::IteratorWrapper>(
            [callback = local_context->getReadTaskCallback()]() -> String {
                return callback();
        });
    }
    else if (is_key_with_globs)
    {
        
        auto glob_iterator = std::make_shared<StorageS3Source::DisclosedGlobIterator>(*client_auth.client, client_auth.uri);
        return std::make_shared<StorageS3Source::IteratorWrapper>([glob_iterator]()
        {
            return glob_iterator->next();
        });
    }
    else
    {
        auto keys_iterator = std::make_shared<StorageS3Source::KeysIterator>(keys);
        return std::make_shared<StorageS3Source::IteratorWrapper>([keys_iterator]()
        {
            return keys_iterator->next();
        });
    }
}
Pipe StorageS3::read(