The only difference is the test constant: 0x10 for a data segment load, 0x15 for a far call target.
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
，推荐阅读新收录的资料获取更多信息
│ ├── network_utils.py # HTTP client with curl fallback
ClickHouse also provides Memory overcommit capabilities. Historically queries would be limited by the max_memory_usage setting (default 10GB), which provided a hard and rather crude limit. Users could raise this at the expense of a single query, potentially impacting other users. Memory overcommit allows more memory-intensive queries to run, provided sufficient resources exist. When the max server memory limit is reached, ClickHouse will determine which queries are most overcommitted and try to kill the query. This may or may not be the query that triggered this condition. If not, the query will wait a period to allow the high-memory query to be killed before continuing to run. This allows low-memory queries to always run, while more intensive queries can run when the server is idle, and resources are available. This behavior can be tuned at a server and user level.
and what advice I'd give to others.