| duet-ubuntu | QueryStart | 2025-01-11 00:38:01.278288 | 4 hours and 1 minute | 0 | 0.00 B | 0.00 | 0.00 | 0.00 | Unknown | (0,0,'00000000-0000-0000-0000-000000000000') | 0 | 0 | NaN | fb93ca0e-1d80-4855-bdec-8503b0e8acec | ||||
| duet-ubuntu | QueryFinish | 2025-01-11 00:38:01.278288 | 4 hours and 1 minute | 2 | 0.00 B | 0.00 | 0.00 | 0.00 | None | (0,0,'00000000-0000-0000-0000-000000000000') | 1 | 1 | NaN | fb93ca0e-1d80-4855-bdec-8503b0e8acec |
Hostname of the server executing the query
duet-ubuntu
Initial user (for distributed query execution)
Initial query id (for distributed query execution)
initial_address (IP address that the parent query was launched from)
::ffff:127.0.0.1
initial_port (The client port that was used to make the parent query)
Initial query starting time (for distributed query execution)
2025-01-11 00:38:01
Databases
Interface that the query was initiated from (1 — TCP, 2 — HTTP)
HTTP method (0 = TCP, 1 = GET, 2 = POST)
HTTP user agent
python-requests/2.31.0
Distributed depth
0
Revision
{ "AsyncInsertQuery": "1", "AsyncInsertBytes": "34", "LocalThreadPoolJobs": "1", "ContextLock": "12", "ContextLockWaitMicroseconds": "9", "RealTimeMicroseconds": "2084", "SystemTimeMicroseconds": "641", "SoftPageFaults": "3", "OSCPUVirtualTimeMicroseconds": "640", "LogTrace": "1", "LogDebug": "1" }
{ "max_insert_threads": "4", "max_threads": "1", "merge_tree_max_rows_to_use_cache": "10485760", "merge_tree_max_bytes_to_use_cache": "20132659200", "do_not_merge_across_partitions_select_final": "1", "enable_http_compression": "1", "http_connection_timeout": "10", "http_send_timeout": "3600", "http_receive_timeout": "300", "log_query_threads": "0", "enable_optimize_predicate_expression": "1", "use_query_cache": "1", "query_cache_nondeterministic_function_handling": "ignore", "query_cache_system_table_handling": "save", "async_insert": "1", "wait_for_async_insert": "1", "async_insert_use_adaptive_busy_timeout": "1", "allow_experimental_join_condition": "1" }
Used privileges
[ "INSERT(event_ts, watts) ON duyet_analytics.power_usage" ]
