2010YOUY01 opened a new issue, #18689:
URL: https://github.com/apache/datafusion/issues/18689
### Is your feature request related to a problem or challenge?
Here are several minor items to make `EXPLAIN ANALYZE` display nicer:
- [ ] Format large numeric values with human-readable units (e.g., `10100 →
10.1 K`, `1532000 → 1.53 M`)
- [ ] Round time durations to two decimal places (e.g.,
`elapsed_compute=11.295377 ms → 11.30 ms`)
Demo(in datafusion-cli)
```
> explain analyze
select *
from generate_series(10000000) as t1(v1)
where v1 > 100;
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan
|
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Plan with Metrics | ProjectionExec: expr=[value@0 as v1],
metrics=[output_rows=9999900, elapsed_compute=213.26µs, output_bytes=76.3 MB,
output_batches=1221]
|
| | CoalesceBatchesExec: target_batch_size=8192,
metrics=[output_rows=9999900, elapsed_compute=69.983µs, output_bytes=76.3 MB,
output_batches=1221]
|
| | FilterExec: value@0 > 100,
metrics=[output_rows=9999900, elapsed_compute=4.263662ms, output_bytes=76.3 MB,
output_batches=1221, selectivity=100% (9999900/10000001)]
|
| | RepartitionExec:
partitioning=RoundRobinBatch(14), input_partitions=1,
metrics=[output_rows=10000001, elapsed_compute=451.452µs, output_bytes=76.3 MB,
output_batches=1221, spill_count=0, spilled_bytes=0.0 B, spilled_rows=0,
fetch_time=11.416792ms, repartition_time=1ns, send_time=1.382266ms] |
| | LazyMemoryExec: partitions=1,
batch_generators=[generate_series: start=0, end=10000000, batch_size=8192],
metrics=[output_rows=10000001, elapsed_compute=11.295377ms, output_bytes=76.3
MB, output_batches=1221]
|
| |
|
+-------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row(s) fetched.
Elapsed 0.017 seconds.
```
From the demo output, I think `output_rows`, and the ratio numerator and
denominator is applicable. e.g. `output_rows = 1.31 M`, and `selectivity = 15%
(15.11k / 100.32k)`, and all time measurements can be rounded.
### Describe the solution you'd like
_No response_
### Describe alternatives you've considered
_No response_
### Additional context
_No response_
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