trino:ranger> explain select group_name, count(1) as cnt from x_user t1, x_group_users t2 where t1.id = t2.user_id group by group_name; Query Plan --- Fragment 0 [SINGLE] Output layout: [group_name, count] Output partitioning: SINGLE [] Stage Execution Strategy: UNGROUPED_EXECUTION...
double averageSizePerEntry = (double) estimateJsonSize(dictionary) / dictionary.getPositionCount(); return (long) (averageSizePerEntry * block.getPositionCount()); case RowBlock rowBlock: return rowBlock.getFieldBlocks().stream() .mapToLong(Query::estimateJsonSize) ...
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Trino runs a query by breaking up the run into a hierarchy ofstages, which are implemented as a series oftasksdistributed over a network of Trino workers. This pipelined execution model runs multiple stages in parallel and streams data from one stage...
task实际上是在具体一个worker node上,给定具体split的一个stage。task创建时,会为每个split初始化一个Driver,每个driver是一个operator流水线的一个实例,负责处理split中的数据。一个task可能会创建多个driver。 oprertor,即算子,流水线上的基本组成单位,表示一个计算处理过程,常见的包括TableScan、Filter、Join、Aggre...
{"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,"...
Peak Memory: 2.19MB, Tasks count: 3; per task: max: 15.23MB Total split distribution time: 1.23ms Amount of input data processed by the workers for this stage might be skewed Output layout: [custkey, name] Output partitioning: HASH [custkey] ...
return (long) (averageSizePerEntry * block.getPositionCount()); case RowBlock rowBlock: return rowBlock.getFieldBlocks().stream() .mapToLong(Query::estimateJsonSize) .sum(); case ArrayBlock arrayBlock: return estimateJsonSize(arrayBlock.getElementsBlock()); ...