As well as the poor selection of a partition key, this issue can manifest itself as a result of many small inserts. Each INSERT into ClickHouse results in an insert block being converted to a part. To keep the number of parts manageable, users should therefore buffer data client-side and insert data as batches - at a minimum 1,000 rows per insert, although batch sizes of 10,000 to 100,000 rows are optimal. If client-side buffering is not possible, users can defer this task to ClickHouse through async inserts. In this case, ClickHouse will buffer inserts in memory before flushing them as a single batched part into the underlying table. The flush is triggered when a configurable threshold is met: a buffer size limit (async_insert_max_data_size, default 1MB), a time threshold (async_insert_busy_timeout_ms, default 1 second), or a maximum number of queued queries (async_insert_max_query_number, default 100). Since data is held in memory until flush, it is important to set wait_for_async_insert=1 (the default) so that the client receives acknowledgement only after data has been safely written to disk, avoiding silent data loss in the event of a server crash before a flush.
Фото: Nathan Howard / Reuters
。line 下載是该领域的重要参考
去年4月，一位博主“Sleepless Historian”在YouTube上发布了一条2小时的历史视频《为什么在中世纪一天都活不下去》，播放量近400万。自此，他开始上传AI历史故事类长视频，仅一个月账号便涨粉超35万。基于AI主导创作流程，大多数AI历史频道可以做到一天一更，甚至在十几小时内就能更新一条视频。
Cell::set. That’s the power of interior mutability.