query_max_planning_time | 10.00m | 10.00m | varchar | Maximum planning time of a query query_max_run_time | 60.00m | 60.00m | varchar | Maximum run time of a query (includes the queueing time) query_max_scan_physical_bytes | | | varchar | Maximum scan physical bytes of a query q...
Presto有个初始散列分区数的概念,如果设为8的话,假设query.max-memory(用户内存)=50GB,平均每个worker node用户内存占用为50GB/8=6.25GB,如果query.max-memory-per-node设为13GB的话,那么这个配置可允许超过平均值两倍的数据倾斜。 Presto的所有Worker node应该同等配置,否则无法妥善利用。 12.4 任务并发性 task wor...
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Trino runs a query by breaking up the run into a hierarchy of stages, which are implemented as a series of tasks distributed over a network of Trino workers. This pipelined execution model runs multiple stages in parallel and streams data from one...
Stage Execution Strategy: UNGROUPED_EXECUTION Aggregate(PARTIAL)[group_name][$hashvalue_12] │ Layout: [group_name:varchar(740), $hashvalue_12:bigint, count_5:bigint] │ count_5 := count(*) └─ Project[] │ Layout: [group_name:varchar(740), $hashvalue_12:bigint] ...
return (long) (averageSizePerEntry * block.getPositionCount()); case RowBlock rowBlock: return rowBlock.getFieldBlocks().stream() .mapToLong(Query::estimateJsonSize) .sum(); case ArrayBlock arrayBlock: return estimateJsonSize(arrayBlock.getElementsBlock()); ...
{"stageId":"1","state":"PENDING","done":false,"nodes":2,"totalSplits":2,"queuedSplits":0,"runningSplits":1,"completedSplits":1,"cpuTimeMillis":29,"wallTimeMillis":139,"processedRows":521,"processedBytes":96423,"physicalInputBytes":96423,"failedTasks":0,"coordinatorOnly":false,"...