use of io.trino.memory.QueryContext in project trino by trinodb.
the class TestMemoryRevokingScheduler method newSqlTask.
private SqlTask newSqlTask(QueryId queryId) {
QueryContext queryContext = getOrCreateQueryContext(queryId);
TaskId taskId = new TaskId(new StageId(queryId.getId(), 0), idGeneator.incrementAndGet(), 0);
URI location = URI.create("fake://task/" + taskId);
return createSqlTask(taskId, location, "fake", queryContext, sqlTaskExecutionFactory, executor, sqlTask -> {
}, DataSize.of(32, MEGABYTE), DataSize.of(200, MEGABYTE), new ExchangeManagerRegistry(new ExchangeHandleResolver()), new CounterStat());
}
use of io.trino.memory.QueryContext in project trino by trinodb.
the class AbstractOperatorBenchmark method runOnce.
@Override
protected Map<String, Long> runOnce() {
Session session = testSessionBuilder().setSystemProperty("optimizer.optimize-hash-generation", "true").setTransactionId(this.session.getRequiredTransactionId()).build();
MemoryPool memoryPool = new MemoryPool(DataSize.of(1, GIGABYTE));
SpillSpaceTracker spillSpaceTracker = new SpillSpaceTracker(DataSize.of(1, GIGABYTE));
TaskContext taskContext = new QueryContext(new QueryId("test"), DataSize.of(256, MEGABYTE), memoryPool, new TestingGcMonitor(), localQueryRunner.getExecutor(), localQueryRunner.getScheduler(), DataSize.of(256, MEGABYTE), spillSpaceTracker).addTaskContext(new TaskStateMachine(new TaskId(new StageId("query", 0), 0, 0), localQueryRunner.getExecutor()), session, () -> {
}, false, false);
CpuTimer cpuTimer = new CpuTimer();
Map<String, Long> executionStats = execute(taskContext);
CpuDuration executionTime = cpuTimer.elapsedTime();
TaskStats taskStats = taskContext.getTaskStats();
long inputRows = taskStats.getRawInputPositions();
long inputBytes = taskStats.getRawInputDataSize().toBytes();
long outputRows = taskStats.getOutputPositions();
long outputBytes = taskStats.getOutputDataSize().toBytes();
double inputMegaBytes = ((double) inputBytes) / MEGABYTE.inBytes();
return ImmutableMap.<String, Long>builder().putAll(executionStats).put("elapsed_millis", executionTime.getWall().toMillis()).put("input_rows_per_second", (long) (inputRows / executionTime.getWall().getValue(SECONDS))).put("output_rows_per_second", (long) (outputRows / executionTime.getWall().getValue(SECONDS))).put("input_megabytes", (long) inputMegaBytes).put("input_megabytes_per_second", (long) (inputMegaBytes / executionTime.getWall().getValue(SECONDS))).put("wall_nanos", executionTime.getWall().roundTo(NANOSECONDS)).put("cpu_nanos", executionTime.getCpu().roundTo(NANOSECONDS)).put("user_nanos", executionTime.getUser().roundTo(NANOSECONDS)).put("input_rows", inputRows).put("input_bytes", inputBytes).put("output_rows", outputRows).put("output_bytes", outputBytes).buildOrThrow();
}
use of io.trino.memory.QueryContext in project trino by trinodb.
the class MemoryLocalQueryRunner method execute.
public List<Page> execute(@Language("SQL") String query) {
MemoryPool memoryPool = new MemoryPool(DataSize.of(2, GIGABYTE));
SpillSpaceTracker spillSpaceTracker = new SpillSpaceTracker(DataSize.of(1, GIGABYTE));
QueryContext queryContext = new QueryContext(new QueryId("test"), DataSize.of(1, GIGABYTE), memoryPool, new TestingGcMonitor(), localQueryRunner.getExecutor(), localQueryRunner.getScheduler(), DataSize.of(4, GIGABYTE), spillSpaceTracker);
TaskContext taskContext = queryContext.addTaskContext(new TaskStateMachine(new TaskId(new StageId("query", 0), 0, 0), localQueryRunner.getExecutor()), localQueryRunner.getDefaultSession(), () -> {
}, false, false);
// Use NullOutputFactory to avoid coping out results to avoid affecting benchmark results
ImmutableList.Builder<Page> output = ImmutableList.builder();
List<Driver> drivers = localQueryRunner.createDrivers(query, new PageConsumerOperator.PageConsumerOutputFactory(types -> output::add), taskContext);
boolean done = false;
while (!done) {
boolean processed = false;
for (Driver driver : drivers) {
if (!driver.isFinished()) {
driver.process();
processed = true;
}
}
done = !processed;
}
return output.build();
}
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