Smotrov commented on issue #10897: URL: https://github.com/apache/datafusion/issues/10897#issuecomment-2173801556
Thank you @alamb This is what I actually did. ```RUST const MEMORY_LIMIT: usize = 8 * 1024 * 1024 * 1024; // 8GB fn create_context() -> Result<SessionContext> { // Create a memory pool with a limit let memory_pool = Arc::new(FairSpillPool::new(MEMORY_LIMIT)); // Configure the runtime environment to use the memory pool let rt_config = RuntimeConfig::new() .with_memory_pool(memory_pool) .with_temp_file_path(PathBuf::from("./tmp")); let runtime_env = Arc::new(RuntimeEnv::new(rt_config)?); // Configure the session context to use the runtime environment let session_config = SessionConfig::new(); let ctx = SessionContext::new_with_config_rt(session_config, runtime_env); Ok(ctx) } ``` However it easily takes 20..30GB of RAM and what is interesting, the CPU load stays relatively small. Like 20...30%. The memory consumption is that high when I set at lease 4 target partitions. ```RUST // Define the partitioned Listing Table let listing_options = ListingOptions::new(file_format) .with_table_partition_cols(part) .with_target_partitions(4) .with_file_extension(".ndjson.zst"); ``` Would be grate if it would be possible to set an actual limit for the memory otherwise I can't use it on docker :-( Full utilization of all CPU cores would also be cool if possible. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org