**How to reproduce**
Clickhouse server 20.13.1.5273
```
CREATE TABLE default.test
(
`key` UInt32,
`ts` DateTime CODEC(DoubleDelta, LZ4),
`db_time` DateTime DEFAULT now() COMMENT 'spout-ignore' CODEC(DoubleDelta, LZ4)
)
ENGINE = MergeTree
PARTITION BY toStartOfTenMinutes(db_time)
ORDER BY (key, ts)
TTL db_time + toIntervalHour(3)
SETTINGS index_granularity = 8192, merge_with_ttl_timeout = 3600, min_rows_for_compact_part = 1000000, min_bytes_for_compact_part = 200000000, in_memory_parts_enable_wal = 0;


INSERT INTO test(key, ts) SELECT number % 1000, now() + intDiv(number,1000) FROM numbers(500);

SELECT * FROM test;
500 rows in set. Elapsed: 0.003 sec.

DETACH TABLE test;

ATTACH TABLE test;

SELECT * FROM test;

0 rows in set. Elapsed: 0.002 sec.
```

**Expected behavior**
Clickhouse would flush parts on disk.
throw Exception("Found a non-empty part with uninitialized minmax_idx. It's a bug", ErrorCodes::LOGICAL_ERROR);
        if (need_primary_key_max_column && !part->index_granularity.hasFinalMark())
        {
            normal_parts.push_back(part);
            continue;
        }
        size_t pos = 0;
        for (size_t i : metadata_snapshot->minmax_count_projection->partition_value_indices)
        {
            if (i >= part->partition.value.size())
                throw Exception("Partition value index is out of boundary. It's a bug", ErrorCodes::LOGICAL_ERROR);
            partition_minmax_count_columns[pos++]->insert(part->partition.value[i]);
        }
        size_t minmax_idx_size = part->minmax_idx->hyperrectangle.size();
        for (size_t i = 0; i < minmax_idx_size; ++i)
        {
            auto & min_column = assert_cast<ColumnAggregateFunction &>(*partition_minmax_count_columns[pos++]);
            auto & max_column = assert_cast<ColumnAggregateFunction &>(*partition_minmax_count_columns[pos++]);
            const auto & range = part->minmax_idx->hyperrectangle[i];
            insert(min_column, range.left);
            insert(max_column, range.right);
        }
        if (!primary_key_max_column_name.empty())
        {
            const auto & primary_key_column = *part->index[0];
            auto & min_column = assert_cast<ColumnAggregateFunction &>(*partition_minmax_count_columns[pos++]);
            auto & max_column = assert_cast<ColumnAggregateFunction &>(*partition_minmax_count_columns[pos++]);
            insert(min_column, primary_key_column[0]);
            insert(max_column, primary_key_column[primary_key_column.size() - 1]);
        }