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Copy pathdistributed_aggregation.rs
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155 lines (136 loc) · 8.56 KB
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#[cfg(all(feature = "integration", test))]
mod tests {
use datafusion::arrow::util::pretty::pretty_format_batches;
use datafusion::physical_optimizer::PhysicalOptimizerRule;
use datafusion::physical_plan::{displayable, execute_stream};
use datafusion_distributed::test_utils::localhost::start_localhost_context;
use datafusion_distributed::test_utils::parquet::register_parquet_tables;
use datafusion_distributed::{
DefaultSessionBuilder, DistributedPhysicalOptimizerRule, assert_snapshot,
};
use futures::TryStreamExt;
use std::error::Error;
#[tokio::test]
async fn distributed_aggregation() -> Result<(), Box<dyn Error>> {
let (ctx, _guard) = start_localhost_context(3, DefaultSessionBuilder).await;
register_parquet_tables(&ctx).await?;
let df = ctx
.sql(r#"SELECT count(*), "RainToday" FROM weather GROUP BY "RainToday" ORDER BY count(*)"#)
.await?;
let physical = df.create_physical_plan().await?;
let physical_str = displayable(physical.as_ref()).indent(true).to_string();
let physical_distributed = DistributedPhysicalOptimizerRule::default()
.with_network_shuffle_tasks(2)
.optimize(physical.clone(), &Default::default())?;
let physical_distributed_str = displayable(physical_distributed.as_ref())
.indent(true)
.to_string();
assert_snapshot!(physical_str,
@r"
ProjectionExec: expr=[count(*)@0 as count(*), RainToday@1 as RainToday]
SortPreservingMergeExec: [count(Int64(1))@2 ASC NULLS LAST]
SortExec: expr=[count(*)@0 ASC NULLS LAST], preserve_partitioning=[true]
ProjectionExec: expr=[count(Int64(1))@1 as count(*), RainToday@0 as RainToday, count(Int64(1))@1 as count(Int64(1))]
AggregateExec: mode=FinalPartitioned, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
CoalesceBatchesExec: target_batch_size=8192
RepartitionExec: partitioning=Hash([RainToday@0], 3), input_partitions=3
AggregateExec: mode=Partial, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
DataSourceExec: file_groups={3 groups: [[/testdata/weather/result-000000.parquet], [/testdata/weather/result-000001.parquet], [/testdata/weather/result-000002.parquet]]}, projection=[RainToday], file_type=parquet
",
);
assert_snapshot!(physical_distributed_str,
@r"
┌───── Stage 2 Tasks: t0:[p0]
│ ProjectionExec: expr=[count(*)@0 as count(*), RainToday@1 as RainToday]
│ SortPreservingMergeExec: [count(Int64(1))@2 ASC NULLS LAST]
│ SortExec: expr=[count(*)@0 ASC NULLS LAST], preserve_partitioning=[true]
│ ProjectionExec: expr=[count(Int64(1))@1 as count(*), RainToday@0 as RainToday, count(Int64(1))@1 as count(Int64(1))]
│ AggregateExec: mode=FinalPartitioned, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
│ CoalesceBatchesExec: target_batch_size=8192
│ NetworkShuffleExec read_from=Stage 1, output_partitions=3, n_tasks=1, input_tasks=2
└──────────────────────────────────────────────────
┌───── Stage 1 Tasks: t0:[p0,p1,p2] t1:[p0,p1,p2]
│ RepartitionExec: partitioning=Hash([RainToday@0], 3), input_partitions=2
│ AggregateExec: mode=Partial, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
│ PartitionIsolatorExec Tasks: t0:[p0,p1,__] t1:[__,__,p0]
│ DataSourceExec: file_groups={3 groups: [[/testdata/weather/result-000000.parquet], [/testdata/weather/result-000001.parquet], [/testdata/weather/result-000002.parquet]]}, projection=[RainToday], file_type=parquet
└──────────────────────────────────────────────────
",
);
let batches = pretty_format_batches(
&execute_stream(physical, ctx.task_ctx())?
.try_collect::<Vec<_>>()
.await?,
)?;
assert_snapshot!(batches, @r"
+----------+-----------+
| count(*) | RainToday |
+----------+-----------+
| 66 | Yes |
| 300 | No |
+----------+-----------+
");
let batches_distributed = pretty_format_batches(
&execute_stream(physical_distributed, ctx.task_ctx())?
.try_collect::<Vec<_>>()
.await?,
)?;
assert_snapshot!(batches_distributed, @r"
+----------+-----------+
| count(*) | RainToday |
+----------+-----------+
| 66 | Yes |
| 300 | No |
+----------+-----------+
");
Ok(())
}
#[tokio::test]
async fn distributed_aggregation_head_node_partitioned() -> Result<(), Box<dyn Error>> {
let (ctx, _guard) = start_localhost_context(6, DefaultSessionBuilder).await;
register_parquet_tables(&ctx).await?;
let df = ctx
.sql(r#"SELECT count(*), "RainToday" FROM weather GROUP BY "RainToday""#)
.await?;
let physical = df.create_physical_plan().await?;
let physical_str = displayable(physical.as_ref()).indent(true).to_string();
let physical_distributed = DistributedPhysicalOptimizerRule::default()
.with_network_shuffle_tasks(6)
.with_network_coalesce_tasks(6)
.optimize(physical.clone(), &Default::default())?;
let physical_distributed_str = displayable(physical_distributed.as_ref())
.indent(true)
.to_string();
assert_snapshot!(physical_str,
@r"
ProjectionExec: expr=[count(Int64(1))@1 as count(*), RainToday@0 as RainToday]
AggregateExec: mode=FinalPartitioned, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
CoalesceBatchesExec: target_batch_size=8192
RepartitionExec: partitioning=Hash([RainToday@0], 3), input_partitions=3
AggregateExec: mode=Partial, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
DataSourceExec: file_groups={3 groups: [[/testdata/weather/result-000000.parquet], [/testdata/weather/result-000001.parquet], [/testdata/weather/result-000002.parquet]]}, projection=[RainToday], file_type=parquet
",
);
assert_snapshot!(physical_distributed_str,
@r"
┌───── Stage 3 Tasks: t0:[p0]
│ CoalescePartitionsExec
│ NetworkCoalesceExec read_from=Stage 2, output_partitions=18, input_tasks=6
└──────────────────────────────────────────────────
┌───── Stage 2 Tasks: t0:[p0,p1,p2] t1:[p0,p1,p2] t2:[p0,p1,p2] t3:[p0,p1,p2] t4:[p0,p1,p2] t5:[p0,p1,p2]
│ ProjectionExec: expr=[count(Int64(1))@1 as count(*), RainToday@0 as RainToday]
│ AggregateExec: mode=FinalPartitioned, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
│ CoalesceBatchesExec: target_batch_size=8192
│ NetworkShuffleExec read_from=Stage 1, output_partitions=3, n_tasks=6, input_tasks=3
└──────────────────────────────────────────────────
┌───── Stage 1 Tasks: t0:[p0,p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17] t1:[p0,p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17] t2:[p0,p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17]
│ RepartitionExec: partitioning=Hash([RainToday@0], 18), input_partitions=1
│ AggregateExec: mode=Partial, gby=[RainToday@0 as RainToday], aggr=[count(Int64(1))]
│ PartitionIsolatorExec Tasks: t0:[p0,__,__] t1:[__,p0,__] t2:[__,__,p0]
│ DataSourceExec: file_groups={3 groups: [[/testdata/weather/result-000000.parquet], [/testdata/weather/result-000001.parquet], [/testdata/weather/result-000002.parquet]]}, projection=[RainToday], file_type=parquet
└──────────────────────────────────────────────────
",
);
Ok(())
}
}