milenkovicm opened a new pull request, #1498:
URL: https://github.com/apache/datafusion-ballista/pull/1498
# Which issue does this PR close?
Closes #1292
.
# Rationale for this change
# What changes are included in this PR?
added `GET` `/api/job/{job_id}`
which returns:
```json
{
"job_id": "QsshxvN",
"job_name": "Remote SQL Example",
"job_status": "Completed. Produced 4 partitions containing 5 rows. Elapsed
time: 4562 ms.",
"status": "Completed",
"num_stages": 2,
"completed_stages": 2,
"percent_complete": 100,
"logical_plan": "Aggregate: groupBy=[[test.c1]], aggr=[[min(test.c12),
max(test.c12)]]\n Projection: test.c1, test.c12\n Filter: test.c11 >
Float64(0.1) AND test.c11 < Float64(0.9)\n TableScan: test projection=[c1,
c11, c12], partial_filters=[test.c11 > Float64(0.1), test.c11 < Float64(0.9)]",
"physical_plan": "AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1],
aggr=[min(test.c12), max(test.c12)]\n RepartitionExec:
partitioning=Hash([c1@0], 4), input_partitions=1\n AggregateExec:
mode=Partial, gby=[c1@0 as c1], aggr=[min(test.c12), max(test.c12)]\n
FilterExec: c11@1 > 0.1 AND c11@1 < 0.9, projection=[c1@0, c12@2]\n
DataSourceExec: file_groups={1 group:
[[Users/marko/git/datafusion_ballista/examples/testdata/aggregate_test_100.csv]]},
projection=[c1, c11, c12], file_type=csv, has_header=true\n",
"stage_plan": "ExecutionGraph[job_id=QsshxvN,
session_id=0d23a501-04f7-425b-a538-2ffd1eb6b924, available_tasks=0,
is_successful=true]\n=========SuccessfulStage[stage_id=1.0,
partitions=1]=========\nShuffleWriterExec: partitioning: Hash([c1@0], 4),
metrics=[output_rows=5, input_rows=5, repart_time=44.38µs, write_time=1.14ms]\n
AggregateExec: mode=Partial, gby=[c1@0 as c1], aggr=[min(test.c12),
max(test.c12)], metrics=[output_rows=5, elapsed_compute=255.25µs,
output_bytes=8.1 KB, output_batches=1, spill_count=0, spilled_bytes=0.0 B,
spilled_rows=0, skipped_aggregation_rows=0, peak_mem_used=10.41 K,
aggregate_arguments_time=7.96µs, aggregation_time=35.08µs,
emitting_time=14.62µs, time_calculating_group_ids=64.88µs,
reduction_factor=5.8% (5/86)]\n FilterExec: c11@1 > 0.1 AND c11@1 < 0.9,
projection=[c1@0, c12@2], metrics=[output_rows=86, elapsed_compute=122.12µs,
output_bytes=64.4 KB, output_batches=1, selectivity=86% (86/100)]\n
DataSourceExec: file_groups={1 group:
[[Users/marko/git/datafusion_ballista/examples/testdata/aggregate_test_100.csv]]},
projection=[c1, c11, c12], file_type=csv, has_header=true,
metrics=[output_rows=100, elapsed_compute=7.61ms, output_bytes=3.4 KB,
output_batches=1, batches_split=0, file_open_errors=0, file_scan_errors=0,
time_elapsed_opening=677.33µs, time_elapsed_processing=7.96ms,
time_elapsed_scanning_total=7.78ms,
time_elapsed_scanning_until_data=7.62ms]\n=========SuccessfulStage[stage_id=2.0,
partitions=4]=========\nShuffleWriterExec: partitioning: None,
metrics=[output_rows=5, input_rows=5, repart_time=4ns, write_time=3.08ms]\n
AggregateExec: mode=FinalPartitioned, gby=[c1@0 as c1], aggr=[min(test.c12),
max(test.c12)], metrics=[output_rows=5, elapsed_compute=431.71µs,
output_bytes=24.2 KB, output_batches=3, spill_count=0, spilled_bytes=0.0 B,
spilled_rows=0, peak_mem_used=34.64 K, aggregate_arguments_time=13.21µs,
aggregation_time=30.58µs, emitting_time=23.59µs,
time_calculating_group_ids=32.33µs]\n
ShuffleReaderExec: partitioning: Hash([c1@0], 4), metrics=[output_rows=20,
elapsed_compute=597.50µs, output_bytes=0.0 B, output_batches=0]\n"
}
```
# Are there any user-facing changes?
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